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Active-NLP | active nlp implementation of different acquisition functions for ner classification and srl task machine translation in progress i ll soon add a proper readme file this weekend for now you can peek into train ner py active ner py and figure out arguments according to help in argparse for example to run a cnn bilstm crf model on conll dataset on full dataset you can run python train ner py usemodel cnn bilstm crf dataset conll and to run active learning for cnn bilstm crf model on conll dataset with mnlp acquisition function you can run python active ner py usemodel cnn bilstm crf dataset conll acquiremethod mnlp | ai |
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ml-workspace | one stop for machine learning 1 papers https github com adicherlavenkatasai ml workspace blame master readme md l35 2 languages https github com adicherlavenkatasai ml workspace blame master readme md l69 3 platforms https github com adicherlavenkatasai ml workspace blame master readme md l79 4 courses https github com adicherlavenkatasai ml workspace blame master readme md l94 5 live sessions https github com adicherlavenkatasai ml workspace blame master readme md l157 6 books https github com adicherlavenkatasai ml workspace blame master readme md l164 7 cheat sheets https github com adicherlavenkatasai ml workspace blame master readme md l176 8 interview questions https github com adicherlavenkatasai ml workspace blame master readme md l200 9 datasets https github com adicherlavenkatasai ml workspace blame master readme md l209 10 blogs and community https github com adicherlavenkatasai ml workspace blame master readme md l221 11 online competitions https github com adicherlavenkatasai ml workspace blame master readme md l230 12 other sources https github com adicherlavenkatasai ml workspace blame master readme md l239 13 about cnns https github com adicherlavenkatasai ml workspace blame master readme md l282 14 about gans https github com adicherlavenkatasai ml workspace blame master readme md l318 sections 1 papers 2 languages 3 platforms 4 courses 5 live sessions 6 books 7 cheat sheets 8 interview questions 9 datasets 10 blogs and community 11 online competitions 12 other sources 13 about cnns 14 about gans steps in approaching a machine learning problem below are the steps that i follow while approaching a ml problem defining and understanding the problem statement gathering the data initial exploration of data in depth eda building the model analyzing the results with different models and shortlisting the ones which gives good performance measures fine tuning the selected model document the code deployment monitoring the deployed model performance in real time papers 2020 natural language processing towards a human like open domain chatbot https arxiv org abs 2001 09977 electra pre training text encoders as discriminators rather than generators https arxiv org abs 2003 10555 reformer the efficient transformer https arxiv org abs 2001 04451 longformer the long document transformer https arxiv org abs 2004 05150 you impress me dialogue generation via mutual persona perception https arxiv org abs 2004 05388 recipes for building an open domain chatbot https arxiv org abs 2004 13637 tod bert pre trained natural language understanding for task oriented dialogues https arxiv org abs 2004 06871 soloist few shot task oriented dialog with a single pre trained auto regressive model https arxiv org abs 2005 05298 a simple language model for task oriented dialogue https arxiv org abs 2005 00796 fastbert a self distilling bert with adaptive inference time https arxiv org abs 2004 02178 power bert accelerating bert inference via progressive word vector elimination https arxiv org abs 2001 08950 data augmentation using pre trained transformer models https arxiv org abs 2003 02245 flat chinese ner using flat lattice transformer https arxiv org abs 2004 11795 object detection end to end object detection with transformers https arxiv org abs 2005 12872 code https github com facebookresearch detr objects as points https arxiv org abs 1904 07850 code https github com xingyizhou centernet acquisition of localization confidence for accurate object detection https arxiv org abs 1807 11590 code https github com vacancy preciseroipooling part a 2 net 3d part aware and aggregation neural network for object detection from point cloud https arxiv org abs 1907 03670 pointrcnn 3d object proposal generation and detection from point cloud https arxiv org abs 1812 04244 code https github com sshaoshuai pointrcnn lasernet an efficient probabilistic 3d object detector for autonomous driving https arxiv org abs 1903 08701 probabilistic 3d multi object tracking for autonomous driving https arxiv org abs 2001 05673 code https github com eddyhkchiu mahalanobis 3d multi object tracking a baseline for 3d multi object tracking https arxiv org abs 1907 03961 code https github com xinshuoweng ab3dmot other denoising diffusion probabilistic models https arxiv org abs 2006 11239 code https github com hojonathanho diffusion joint training of variational auto encoder and latent energy based model https arxiv org abs 2006 06059 efficient and scalable bayesian neural nets with rank 1 factors https arxiv org abs 2005 07186 code https github com google edward2 batchensemble an alternative approach to efficient ensemble and lifelong learning https arxiv org abs 2002 06715 code https github com google edward2 stable neural flows https arxiv org abs 2003 08063 how good is the bayes posterior in deep neural networks really https arxiv org abs 2002 02405 languages knowing one language couldn t help to work in multidomain so its good to learn two or more languages like python c java for machine learning one should be sound in any of the language with other language basics python r matlab julia jet brains https hyperskill org curriculum jet brains provides basics to advance training on java koltin and python languages can learn and apply in developing mini projects based on the level selected hackerrank https www hackerrank com dashboard hackerearth https www hackerearth com practice leetcode https leetcode com explore codechef https www codechef com cp algorithms https cp algorithms com platforms as we know that machine deep learning models need high computational power it might not be possible for an individual for purchase addtional cpus or gpus so we use cloud platforms jupyter notebook https docs anaconda com anaconda install note in general we use jupyter notebook to run our models for jupyter notebook we need to install the software on local machine for windows https docs anaconda com anaconda install linux https jupyter org install colab https colab research google com notebooks kaggle https www kaggle com paperspace https www paperspace com aws https aws amazon com gcp https cloud google com crestle https crestle ai floydhub https www floydhub com note google products like colab kaggle are free and best platform for an individual courses most of the courses are available in python language kindly re check before taking the course of you have any language constraints note no organisation can be seen here kindly pick the course based on your requirement machine learning machine learning stanford cs229 https www youtube com playlist list ploromvodv4rmigqp3wxshtmggzqpfvfbu python for machine learning great learning https olympus greatlearning in courses 10899 statistics for machine learrning great learning https www greatlearning in academy learn for free courses statistics for machine learning data visualization using python great learning https www greatlearning in academy learn for free courses data visualization using python machine learning crash course google https developers google com machine learning crash course machine learning linear regression leaps https leapsapp analyttica com courses overview predictive modelling linear regression getting started with decision trees analytics vidhya https courses analyticsvidhya com courses getting started with decision trees machine learning with python a practical introduction harvard edx https www edx org course machine learning with python a practical introduct machine learning fundamentals harvard edx https www edx org course machine learning fundamentals 2 machine learning with python from linear models to deep learning harvard edx https www edx org course machine learning with python from linear models to machine learning harvard edx https online learning harvard edu course data science machine learning machine learning with python ibm https cognitiveclass ai courses machine learning with python machine learning dimensionality reduction ibm https cognitiveclass ai courses machine learning dimensionality reduction data visualization with python ibm https cognitiveclass ai courses data visualization with python data analysis with python ibm https cognitiveclass ai courses data analysis python applied machine learning 2020 columbia https www youtube com playlist list pl pvmaaanxirnsw6wicpsvshfycrezmlm datascience introduction to python analytics vidhya https courses analyticsvidhya com courses introduction to data science fundamentals of data analytics leaps https leapsapp analyttica com courses overview fundamentals of data analytics pandas for data analysis in python analytics vidhya https courses analyticsvidhya com courses pandas for data analysis in python tableau for beginners analytics vidhya https courses analyticsvidhya com courses pandas for data analysis in python top data science projects for analysts and data scientists analytics vidhya https courses analyticsvidhya com courses take top data science projects for analysts and data scientists texts 13945900 about the data science projects course machine learning for data science and analytics harvard edx https www edx org course machine learning for data science and analytics a data science program for everyone harvard edx https www edx org professional certificate berkeleyx foundations of data science data science and machine learning capstone project harvard edx https www edx org course data science and machine learning capstone project r basics harvard edx https www edx org course data science r basics data visualisation and eda harvard edx https www edx org course data science visualization probability theory harvard edx https www edx org course data science probability data science inference and modeling harvard edx https www edx org course data science inference and modeling data science productivity tools harvard edx https www edx org course data science productivity tools data science wrangling harvard edx https www edx org course data science wrangling data science linear regression harvard edx https www edx org course data science machine learning capstone project harvard edx https www edx org course data science capstone introduction to data science ibm https cognitiveclass ai courses data science 101 python for data science ibm https cognitiveclass ai courses python for data science sql and relational databases 101 ibm https cognitiveclass ai courses learn sql relational databases apis deep learning fundamentals ibm https cognitiveclass ai courses introduction deep learning deep learning with tensorflow ibm https cognitiveclass ai courses deep learning tensorflow accelerating deep learning with gpu ibm https cognitiveclass ai courses accelerating deep learning gpu convolutional neural networks for visual recognition stanford cs231n https www youtube com playlist list pl3fw7lu3i5jvhm8ljyj zlfqrf3eo8syv artificial intelligence introduction to artificial intelligence with python harvard edx https www edx org course cs50s introduction to artificial intelligence with python introduction to artificial intelligence uc berkeley cs188 https www youtube com playlist list pl7k0r4t5c108azrwfw fhnkz0sckbchlh natural language processing introduction to natural language processing https courses analyticsvidhya com courses intro to nlp natural language processing nlp microsoft https www edx org course natural language processing nlp 2 natural language processing with deep learning stanford cs224n https www youtube com playlist list ploromvodv4rohcuxmzknm7j3fvwbby42z natural language understanding stanford cs224u https www youtube com playlist list ploromvodv4robpmcir6rnnulfan56js20 commputer vision computer vision fundamentals with watson and opencv https www edx org course computer vision fundamentals computer vision and image analysis microsoft https www edx org course computer vision and image analysis 2 matlab matlab onramp https matlabacademy mathworks com r2020a portal html course gettingstarted machine learning onramp https matlabacademy mathworks com r2020a portal html course machinelearning deep learning onramp https matlabacademy mathworks com r2020a portal html course deeplearning live sessions source 1 https www greatlearning in academy learn for free live sessions source 2 https datahack analyticsvidhya com events note in the below available sections if the required book cheatsheet is not present or for more info check the more note few google links are getting crashing for few files in such scenario can direclty check more folder ebooks books cookbooks what is machine learning https courses analyticsvidhya com courses ebook machine learning tree based algorithms https courses analyticsvidhya com courses ebook tree based algorithm natural language processing https courses analyticsvidhya com courses ebook nlp data cleaning with numpy and pandas https drive google com file d 1pk1oo bwff9l02z0w90lttddh1djsxdq view usp sharing data engineering cookbook https drive google com file d 1qbewedqw cb75ba1afvqmjkzayso7ga7 view usp sharing machine learning projects in python compiled https drive google com file d 1akuhhlz3t1ucsavfxttzi i9 8e5y3ek view usp sharing natural langugae with python https drive google com file d 1dfriuh98mujuiw48kmwjgae7wiibxyct view usp sharing more https drive google com drive folders 1atyae8tyiz coebvgwwnxvgglshru7tv usp sharing cheat sheets python https drive google com file d 1yeg3fj9kz axhfwuq6oq0i6c6pkvtjua view usp sharing r https drive google com file d 1ctdb8xibagry1seqtj0zcou0kf4xfqvf view usp sharing sql https drive google com file d 1vdx0ieg5plsf 1pzf1trjjjq8d5vp1d5 view usp sharing machine learning https drive google com file d 1zdlhne9ij2kw38vrdyzdx kb13lzf0u7 view usp sharing supervised learning https drive google com file d 1qrjd04b1c2n00xbb 9x6myjzhgil abx view usp sharing data science https drive google com file d 1mxtq 2jdfiniuhopb 5zm0g zqiu2c06 view usp sharing probability https drive google com file d 1bxasxuroqka5prcny8tdjk1ujhtq und view usp sharing statistics https drive google com file d 1 u6mdrvkr0dp4vgznqoainsf8 5wblda view usp sharing data engineering https drive google com file d 16atxb3kz zsui2uysu sih0n5ccnxmzv view usp sharing git https drive google com file d 1a2mbl5dvuowm7vlrjlnqjlfkqvgzxec3 view usp sharing more https drive google com drive folders 1kx 0frkyzmdpj7pxeftimuzokdkblmtu usp sharing exercises python https drive google com file d 1g4wssdts6nxe66sukxozvjzajv3rnzh7 view usp sharing sql https drive google com file d 1za2ouios9tag yev3uafsrbhiaj2p6jt view usp sharing matplotlib https drive google com file d 1lttjrtwanzimkfj6slqusldbepk9es7s view usp sharing more https drive google com drive folders 1wvfpguabx snfskixog0av18jvsd rbz usp sharing interview questions python https drive google com file d 1bybsx4ofvs3hx3oobdgjd3fcwzjltzm1 view usp sharing data science https drive google com file d 1ufi eb5m2oqyixb62atiubdbdrxpnt0i view usp sharing variance in data science https drive google com file d 1f6dhyvwhjuxhclblwovgq0cj5bgvywet view usp sharing interview question data science https github com ineuronai interview question data science self prepared interview questions more https drive google com drive folders 1b1wyikph3 vyw bxqa98ncw4cf 2em2m usp sharing note these self prepared interview questions will be updated weekly datasets google https datasetsearch research google com kaggle https www kaggle com datasets meta sim learning to generate synthetic datasets https github com nv tlabs meta sim uci https archive ics uci edu ml index php worldbank data https github com mwouts world bank data tensorflow https www tensorflow org datasets movielens https grouplens org datasets movielens reddit https www reddit com r datasets huggingface https huggingface co datasets blogs and community towards data science https towardsdatascience com analyticsvidhya https www analyticsvidhya com blog utm source feed utm medium navbar machinelearningmastery https machinelearningmastery com blog medium https medium com pytorch discussion forum https discuss pytorch org stackoverflow pytorch tags http stackoverflow com questions tagged pytorch website https www ritchieng com the incredible pytorch online competitions kaggle https www kaggle com analyticsvidhya https datahack analyticsvidhya com contest all hackerearth https www hackerearth com challenges crowdai https www crowdai org machinehack https www machinehack com drivendata https www drivendata org zindi https zindi africa competitions other resources paperswithcode https paperswithcode com methods google research https github com google research google research madewithml https madewithml com topics deeplearning https course fullstackdeeplearning com course content huggingface https github com huggingface arcgis https github com esri arcgis python api pytorchdeeplearning https atcold github io pytorch deep learning fastaibook https github com fastai fastbook easyocr https github com jaidedai easyocr awesome data science https github com academic awesome datascience nlp progress https github com sebastianruder nlp progress recommenders https github com microsoft recommenders awesome pytorch list https github com bharathgs awesome pytorch list free data science books https github com chaconnewu free data science books deeplearningdrizzle https deep learning drizzle github io data science ipython notebooks https github com donnemartin data science ipython notebooks julia https github com julialang julia gym https github com openai gym regarding satellite images https www esri com en us arcgis about arcgis overview monk object detection https github com tessellate imaging monk object detection awesome pytorch list https github com bharathgs awesome pytorch list topdeeplearning https github com aymericdamien topdeeplearning nlpprogress https github com sebastianruder nlp progress multi task nlp https github com hellohaptik multi task nlp opencv https github com opencv opencv transformers https github com huggingface transformers code implementations for research papers https chrome google com webstore detail find code for research pa aikkeehnlfpamidigaffhfmgbkdeheil tool for visualizing attention in the transformer model https github com jessevig bertviz powerful and efficient computer vision annotation tool cvat https github com openvinotoolkit cvat powerful and efficient computer vision annotation tool cvat https github com abreheret pixelannotationtool transcoder https github com facebookresearch transcoder super duper nlp https notebooks quantumstat com tessellate imaging https github com tessellate imaging monk v1 machine learning with python https github com tirthajyoti machine learning with python gpt 2 https github com openai gpt 2 data augmentation for nlp https github com makcedward nlpaug mlops https github com visenger awesome mlops reinforcement learning https github com dennybritz reinforcement learning keras applications https github com keras team keras applications about cnns legonet efficient convolutional neural networks with lego filters https github com huawei noah legonet meshcnn a convolutional neural network designed specifically for triangular meshes https github com ranahanocka meshcnn octave convolution https github com d li14 octconv pytorch pytorch image models resnet resnext dpn mobilenet v3 v2 v1 mnasnet single path nas fbnet https github com rwightman pytorch image models deep neural networks with box convolutions https github com shrubb box convolutions invertible residual networks https github com jarrelscy iresnet stochastic downsampling for cost adjustable inference and improved regularization in convolutional networks https github com xternalz sdpoint faster faster r cnn implementation https github com jwyang faster rcnn pytorch faster r cnn another implementation https github com longcw faster rcnn pytorch paying more attention to attention improving the performance of convolutional neural networks via attention transfer https github com szagoruyko attention transfer wide resnet model in pytorch https github com szagoruyko functional zoo diracnets training very deep neural networks without skip connections https github com szagoruyko diracnets an end to end trainable neural network for image based sequence recognition and its application to scene text recognition https github com bgshih crnn efficient densenet https github com gpleiss efficient densenet pytorch video frame interpolation via adaptive separable convolution https github com sniklaus pytorch sepconv learning local feature descriptors with triplets and shallow convolutional neural networks https github com edgarriba examples tree master triplet densely connected convolutional networks https github com bamos densenet pytorch very deep convolutional networks for large scale image recognition https github com jcjohnson pytorch vgg squeezenet alexnet level accuracy with 50x fewer parameters and 0 5mb model size https github com gsp 27 pytorch squeezenet deep residual learning for image recognition https github com szagoruyko functional zoo training wide resnets for cifar 10 and cifar 100 in pytorch https github com xternalz wideresnet pytorch deformable convolutional network https github com oeway pytorch deform conv convolutional neural fabrics https github com vabh convolutional neural fabrics deformable convolutional networks in pytorch https github com 1zb deformable convolution pytorch dilated resnet combination with dilated convolutions https github com fyu drn striving for simplicity the all convolutional net https github com utkuozbulak pytorch cnn visualizations convolutional lstm network https github com automan000 convolution lstm pytorch big collection of pretrained classification models https github com osmr imgclsmob pytorch image classification with kaggle dogs vs cats dataset https github com rdcolema pytorch image classification cifar 10 on pytorch with vgg resnet and densenet https github com kuangliu pytorch cifar base pretrained models and datasets in pytorch mnist svhn cifar10 cifar100 stl10 alexnet vgg16 vgg19 resnet inception squeezenet https github com aaron xichen pytorch playground nvidia unsupervised video interpolation https github com nvidia unsupervised video interpolation about gans mimicry pytorch library for reproducibility of gan research https github com kwotsin mimicry clean readable cyclegan https github com aitorzip pytorch cyclegan stargan https github com yunjey stargan block neural autoregressive flow https github com nicola decao bnaf high resolution image synthesis and semantic manipulation with conditional gans https github com nvidia pix2pixhd a style based generator architecture for generative adversarial networks https github com rosinality style based gan pytorch gandissect pytorch tool for visualizing neurons in gans https github com csailvision gandissect learning deep representations by mutual information estimation and maximization https github com duanenielsen deepinfomaxpytorch variational laplace autoencoders https github com yookoon vlae vegans library for easily training gans https github com unit8co vegans progressive growing of gans for improved quality stability and variation https github com github pengge pytorch progressive growing of gans conditional gan https github com kmualim cgan pytorch wasserstein gan https github com martinarjovsky wassersteingan adversarial generator encoder network https github com dmitryulyanov age image to image translation with conditional adversarial networks https github com junyanz pytorch cyclegan and pix2pix unpaired image to image translation using cycle consistent adversarial networks https github com junyanz pytorch cyclegan and pix2pix on the effects of batch and weight normalization in generative adversarial networks https github com stormraiser gan weight norm improved training of wasserstein gans https github com jalola improved wgan pytorch collection of generative models with pytorch https github com wiseodd generative models generative adversarial nets gan 1 vanilla gan https arxiv org abs 1406 2661 2 conditional gan https arxiv org abs 1411 1784 3 infogan https arxiv org abs 1606 03657 4 wasserstein gan https arxiv org abs 1701 07875 5 mode regularized gan https arxiv org abs 1612 02136 variational autoencoder vae 1 vanilla vae https arxiv org abs 1312 6114 2 conditional vae https arxiv org abs 1406 5298 3 denoising vae https arxiv org abs 1511 06406 4 adversarial autoencoder https arxiv org abs 1511 05644 5 adversarial variational bayes https arxiv org abs 1701 04722 improved training of wasserstein gans https github com caogang wgan gp cyclegan and semi supervised gan https github com yunjey mnist svhn transfer improving variational auto encoders using householder flow and using convex combination linear inverse autoregressive flow https github com jmtomczak vae vpflows pytorch gan collection https github com znxlwm pytorch generative model collections generative adversarial networks focusing on anime face drawing https github com jayleicn animegan simple generative adversarial networks https github com mailmahee pytorch generative adversarial networks adversarial auto encoders https github com fducau aae pytorch torchgan framework for modelling generative adversarial networks in pytorch https github com torchgan torchgan thank you for visiting the repo hope it helped you i would like to hear suggestions from you can reach me at linkedin venkatasaiadicherla https img shields io badge venkatasaiadicherla blue style flat square logo linkedin logocolor white link https www linkedin com in adicherlavenkatasai https www linkedin com in adicherlavenkatasai whatsapp venkatasaiadicherla https img shields io badge venkatasaiadicherla 2325d366 svg flat square logo whatsapp logocolor white link https wa me 918008527755 https wa me 918008527755 | machine-learning data-science python gans harvard-edx convolutional-networks interview-questions cheat-sheets deep-learning deep-neural-networks | ai |
gopilot | gopilot ai assitant for golang tsinghua university https img shields io badge tsinghua university purple 290m parameters https img shields io badge parameters 290m blue fine tuned https img shields io badge fine tuned yes success loss https img shields io badge loss 1 4 red task code completion https img shields io badge task code 20completion yellow open source https img shields io badge open source blue gopilot is a 290m parameters language model trained exclusively on go code using a small research budget 100 p align center img src assets demo gif width 75 p p align center i demo of the gopilot a href https github com rojas diego gopilot vscode ext vscode code extension a i p p align center b a href https github com rojas diego diego rojas a b b a style margin left 16px href https github com leowwb wenbin leow a b b a style margin left 16px href https github com jy477274 jayden macdonald a b b a style margin left 16px href https github com stanislas0 qinkai zheng a b p overview gopilot is a gpt style transformer model trained on 20b tokens on a single rtx4090 for less than a week using the go split of the stack dedup v1 2 https www google com search client safari rls en q the stack dedup v1 2 ie utf 8 oe utf 8 dataset it comes in two flavours a huggingface tokenizer based model and a model based on a custom go tokenizer that we developed p align center img src assets hugging face loss curve png width 50 p the pre training and fine tuning weights are made available here https gopilot s3 ap east 1 amazonaws com aws s3 ls s3 gopilot checkpoints region ap east 1 installation you need to have conda and go installed on your machine you can install the necessary dependencies using conda and the provided environment cpu yml choose environment cuda yml when running cuda dependencies may not be up to date hence using the official docker image https hub docker com r rojasdiego gopilot is preferred build the go tokenizer binary bash linux macos go build o tokenizer libgotok so buildmode c shared tokenizer libgotok go windows go build o tokenizer libgotok dll buildmode c shared tokenizer libgotok go usage a cuda docker image is made available here https hub docker com r rojasdiego gopilot pre training the pre training script trains the model for the specified token budget expects a pre tokenized dataset bash python train py model cf model config gopilot 290m yml tokenizer hugging face tokenizer cf tokenizer config hugging face json s3 dataset prefix prefix of your s3 dataset s3 bucket your s3 bucket gradient accumulation steps 64 optimizer sophiag batch size 8 lr 0 0005 token budget 10000000000 device cuda precision fp16 s3 checkpoints warmup 1000 neptune compile fine tuning you can fine tune gopilot on any jsonl dataset composed of samples of the following form sample package main nconst value 1 we use a mix of pre training samples ai generated samples to perform finetuning bash python finetune py model cf model config gopilot 290m yml tokenizer cf tokenizer config hugging face json tokenizer hugging face in model weights checkpoints hugging face pt out model weights checkpoints hugging face ft pt dataset filepath all gradient accumulation steps 16 batch size 8 dropout 0 1 weight decay 0 1 lr 0 000025 num epochs 10 precision fp16 neptune evaluation the evaluation script runs evaluation on the humanevalx benchmark our best model obtains 7 4 pass 10 and 77 1 compile 10 check out the results folder for more information bash python evaluate py model cf model config gopilot 290m yml tokenizer cf tokenizer config gopilot json tokenizer gopilot model weights checkpoints gopilot ft pt device cuda k 10 max new tokens 128 verbose inference server the inference server is a simple http server that hosts the model and exposes a complete endpoint to submit samples to auto complete it s used by the vscode extension to provide completions bash python inference server py model cf model config gopilot 290m yml tokenizer cf tokenizer config gopilot json tokenizer gopilot device mps checkpoint path cache checkpoints gopilot ft pt vscode extension check out the gopilot vscode extension here https github com rojas diego gopilot vscode ext works with the inference server acknowledgements notes thank you to qinkai zheng for providing guidance and the hardware resources we did not check for leakage when performing humanevalx evaluation do not include these results in research this project was made during the course of deep learning 80240743 0 at tsinghua university while fun to play around with we do not recommend using a model of this size for code completion in your editor it s a school project feel free to use the code tweak the checkpoints and all future work release the model weights on huggingface quantize the model weights for fast inference interactive online demo try on other languages such as rust or c experiment with different tokenization strategies train for longer on more data | code-generation deep-learning golang llm natural-language-processing transformers | ai |
alphawave | alphawave alphawave is a very opinionated client for interfacing with large language models llm it uses promptrix https github com stevenic promptrix for prompt management and has the following features supports calling openai and azure openai hosted models out of the box but a simple plugin model lets you extend alphawave to support any llm promptrix integration means that all prompts are universal and work with either chat completion or text completion api s automatic history management alphawave manages a prompts conversation history and all you have todo is tell it where to store it it uses an in memory store by default but a simple plugin interface provided by promptrix lets you store short term memory like conversation history anywhere state of the art response repair logic alphawave lets you provide an optional response validator plugin which it will use to validate every response returned from an llm should a response fail validation alphawave will automatically try to get the model to correct its mistake more below automatic response repair a key goal of alphawave is to be the most reliable mechanisms for talking to an llm on the planet if you lookup the wikipedia definition for alpha waves you see that it s believed that they may be used to help predict mistakes in the human brain one of the key roles of the alphawave library is to help automatically correct for mistakes made by an llm leading to more reliable output it can correct for everything from hallucinations to just malformed output it does this by using a series of techniques first it uses validation to programmatically verify the llm s output this would be the equivalent of a guard in other libraries like langchain when a validation fails alphawave immediately forks the conversation to isolate the mistake this is critical because the last thing you want to do is promote a mistake hallucination to the conversation history as the llm will just double down on the mistake they are primarily pattern matchers once alphawave has isolated the mistake it will attempt to get the model to repair the mistake itself it uses a process called feedback which simply tells the model the mistake it made and asks it to correct it for gpt 4 this works more often then not in 1 turn for the other models it sometimes works but it depends on the type of mistake alphawave will even ask the model to slow down and think step by step on the last try to give it every shot at fixing itself if the llm can correct its mistake alphawave will delete the conversation fork write the corrected response to the conversation history and move forward as if nothing ever happened for gpt 4 you should be able to make several hundred sequential model calls before running into a sequence that can t be repaired in the event that the model isn t able to repair itself a result with a status of invalid response will be returned and the app can either abort the task or give it one more go for well defined prompts and tasks i d recommend given it one more go the reason for that is that if you ve made it hundreds of model calls without it making a mistake the odds of it making a mistake if you simply try again are low you just hit the stochastic nature of talking to llms so why even use feedback at all if retrying can work it doesn t always work some mistakes especially hallucinations the llm will make over and over again they need to be confronted with their mistake and then they will happily correct it you need both appproaches feedback retry to build a system that s as reliable as possible installation to get started you ll want to install the latest versions of both alphawave and promptrix if you re using yarn bash yarn add alphawave yarn add promptrix or if you re using npm bash npm install alphawave npm install promptrix basic usage you ll need to import a couple of components from alphawave along with the various prompt parts you want to use from promptrix here s a super simple wave that creates a basic chatgpt like bot typescript import openaimodel alphawave from alphawave import prompt systemmessage conversationhistory usermessage message from promptrix create an openai model const model new openaimodel apikey process env openaikey completion type chat model gpt 3 5 turbo temperature 0 9 max input tokens 2000 max tokens 1000 create a wave const wave new alphawave model prompt new prompt new systemmessage you are an ai assistant that is friendly kind and helpful 50 new conversationhistory history 1 0 new usermessage input 450 one of the key features of promptrix is its ability to proportionally layout prompts so this prompt has an overall budget of 2000 input tokens it will give the systemmessage up to 50 tokens the usermessage up to 450 tokens and then the conversationhistory gets 100 of the remaining tokens next we just need to call completeprompt on the wave to process the users input typescript route users message to wave const result await wave completeprompt input switch result status case success console log result response as message content break default if result response console log result status result response else console log a result status of result status was returned break the input parameter is optional and the wave can also take input directly from memory but you don t have to pass prompts input you can see in the example that if the prompt doesn t reference the input via a input template variable it won t use it anyway | ai |
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Blockchain-By-Example | blockchain by example a href https www packtpub com big data and business intelligence blockchain example utm source github utm medium repository utm campaign 9781788475686 img src https d1ldz4te4covpm cloudfront net sites default files imagecache ppv4 main book cover b08754 png alt blockchain by example height 256px align right a this is the code repository for blockchain by example https www packtpub com big data and business intelligence blockchain example utm source github utm medium repository utm campaign 9781788475686 published by packt a developer s guide to creating decentralized applications using bitcoin ethereum and hyperledger what is this book about the blockchain is a revolution promising a new world without middlemen technically it is an immutable and tamper proof distributed ledger of all transactions across a peer to peer network with this book you will get to grips with the blockchain ecosystem to build real world projects this book covers the following exciting features grasp decentralized technology fundamentals to master blockchain principles build blockchain projects on bitcoin ethereum and hyperledger create your currency and a payment application using bitcoin implement decentralized apps and supply chain systems using hyperledger write smart contracts run your ico and build a tontine decentralized app using ethereum if you feel this book is for you get your copy https www amazon com dp 1788475682 today a href https www packtpub com utm source github utm medium banner utm campaign githubbanner img src https raw githubusercontent com packtpublishing github master github png alt https www packtpub com border 5 a instructions and navigations all of the code is organized into folders for example chapter02 the code will look like the following var bitcoin require bitcoinjs lib var rp require request promise following is what you need for this book if you are keen on learning how to build your own blockchain decentralized applications from scratch then this book is for you it explains all the basic concepts required to develop intermediate projects and will teach you to implement the building blocks of a blockchain ecosystem with the following software and hardware list you can run all code files present in the book chapter 1 11 software and hardware list chapter software required os required 1 bitcoin core electrum client machine with 4 gb ram and ubuntu os 2 nodejs bitcore lib eclipse ide java 8 git machine with 4 gb ram and ubuntu os 3 bower bitcoinj python 2 7 qt designer cpuminer iquidus machine with 4 gb ram and ubuntu os 4 remix ide ganache geth machine with 4 gb ram and ubuntu os 5 7 truffle machine with 4 gb ram and ubuntu os 6 8 quorum machine with 4 gb ram and ubuntu os 9 ipfs swarm machine with 4 gb ram and ubuntu os 10 hyperledger fabric machine with 4 gb ram and ubuntu os 11 hyperledger composer machine with 4 gb ram and ubuntu os we also provide a pdf file that has color images of the screenshots diagrams used in this book click here to download it https www packtpub com sites default files downloads 9781788475686 colorimages pdf related products blockchain for enterprise packt https www packtpub com big data and business intelligence blockchain enterprise utm source github utm medium repository utm campaign 9781788479745 amazon https www amazon com dp 1788479742 hands on blockchain with hyperledger packt https www packtpub com big data and business intelligence hands blockchain hyperledger utm source github utm medium repository utm campaign 9781788994521 amazon https www amazon com dp 1788994523 get to know the authors bellaj badr is an experienced security and software engineer who loves blockchain with a passion currently he is the cto at mchain a blockchain start up that develops blockchain solutions for companies alongside his role as cto he acts as technical consultant offering strategic and technical consulting to many companies worldwide aside from this he is involved in many blockchain projects involving the establishment of new blockchain business oriented protocols badr is a frequent speaker at developer conferences and is father to two angels richard horrocks is a freelance ethereum and full stack developer based in the uk and holds a ba and msc in natural sciences from the university of cambridge he worked for many years as a technical lead for cisco systems where he worked on the operating systems of carrier grade routing hardware before leaving the world of it to work as an english teacher the advent of cryptocurrency piqued his interest sufficiently to lead him back to it and since 2015 he has been working with ethereum and other cryptocurrencies his specialist interests are cryptoeconomics and incentive layers with a particular focus on mechanism design and token engineering when not in front of a computer he enjoys yoga and falling off motorbikes xun brian wu is the founder and ceo of smartchart he has 16 years of extensive hands on design and development experience with blockchain big data cloud ui and system infrastructure he has coauthored a number of books including seven nosql databases in a week hyperledger cookbook and blockchain quick start guide he has been a technical reviewer on more than 50 technical books for packt he serves as a board adviser for several blockchain start ups and owns several patents on blockchain brian also holds an njit computer science masters degree he lives in new jersey with his two beautiful daughters bridget and charlotte other books by the authors seven nosql databases in a week https www packtpub com big data and business intelligence seven nosql databases week utm source github utm medium repository utm campaign 9781787288867 suggestions and feedback click here https docs google com forms d e 1faipqlsdy7datc6qmel81fiuuymz0wy9vh1jhkvpy57oimekgqib ow viewform if you have any feedback or suggestions download a free pdf i if you have already purchased a print or kindle version of this book you can get a drm free pdf version at no cost br simply click on the link to claim your free pdf i p align center a href https packt link free ebook 9781788475686 https packt link free ebook 9781788475686 a p | blockchain |
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courseworks-lambda | courseworks lambda an example for e6156 topics in sw engineering of a lambda function and rest api accessing a cloud service | cloud |
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i-CAE | i cae internet aided engineering for viewing editing creating cae files any where any time on any device currently lsdyna files can be loaded files are uploaded using a command line interface into a mysql database files can be imported to a client machine from database | server |
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PySonar | pysonar decentralized machine learning client chat on slack https img shields io badge chat on 20slack 7a5979 svg https openmined slack com messages team pysonar build status https travis ci org openmined pysonar svg branch master https travis ci org openmined pysonar toc depthfrom 2 setup setup using docker using docker usage usage bootstrap environment bootstrap environment start start know issues know issues license license toc sonar is a smart contract library that allows data scientists to publish new models they want to get trained into the modelrepository and people to pick models they can train on their personal data you can find a working proof of concept in the notebooks notebooks directory setup using docker using docker https www docker com is the easiest way to get this running 1 run docker compose up this will launch ipfs the in memory fake ethereum blockchain with the smart contract openmined mine js https github com openmined mine js and the jupyter notebooks 2 open the the jupyter notebooks on http localhost 8888 http localhost 8888 3 step through the notebook and check the output of the previous docker compose up to get some infos on what happens usage bootstrap environment before running the demo there are a couple of prerequisites you need to install base libraries before installing the python packages you need to make sure your system holds a set of basic math libraries required for the encryption operations phe lib mpc http www multiprecision org index php prog mpc arithmetic of complex numbers with arbitrarily high precision and correct rounding of the result mpfr http www mpfr org multiple precision floating point computations gmp https gmplib org gnu multiple precision arithmetic library npm https www npmjs com npm package manager for macos with brew just run sh brew install libmpc mpfr gmp for linux run sh apt get install libgmp3 dev libmpfr dev libmpc dev python3 dev then run curl o https raw githubusercontent com creationix nvm v0 33 5 install sh bash nvm install v8 solidity the solidity tools are required to compile the contract of our demo see installing solidity http solidity readthedocs io en develop installing solidity html for instructions for your platform truffle in order to import abis you ll need to install truffle https www npmjs com package truffle sudo npm install g truffle ipfs as the network itself is too big to actually host it on the blockchain you need ipfs to host the files for installation see the ipfs installation page https dist ipfs io go ipfs or run sh brew install ipfs after installation is complete run ipfs init to initialize your local ipfs system pip packages make sure you have a clean python3 install and continue with installing all the packages sh pip install r requirements txt pip package maintenance pysonar utilizes pip tools to help with maintaining pip packages https github com jazzband pip tools to update all packages periodically re run pip compile upgrade build local libraries first you need to get sonar package bundled up sh python setup py install then make sure you also have the syft https github com openmined syft package properly installed head over to the repository and follow its instructions import smart contract abi the interface for our sonar smart contract is distributed via an npm package you can import the modelrepository abi file to your local environment by running sh make import abi which will place the file at abis modelrepository abi start after you made sure all the installation steps are done you need to set up your local mock environment sh start the ipfs daemon in the background ipfs daemon run local ethereum mock testrpc a 1000 now open a second shell start the notebook and follow its instructions sh jupyter notebook notebooks known issues there have been reports of the brew installation of solidity not working properly if you experience any problems while running this demo please create a github issue https github com openmined sonar issues and help us get better license apache 2 0 https github com openmined pysonar blob master license by openmined contributors | ai |
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InfoTechFun | infotechfun information technology fundamentals | server |
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Chain-of-ThoughtsPapers | chain of thoughtspapers https img shields io github last commit timothyxxx chain of thoughtspapers color green a trend starts from chain of thought prompting elicits reasoning in large language models check tool use llms https github com xlang ai llm tool use and environment interactive llms https github com timothyxxx envinteractivelmpapers for the newest good direction we are doing papers 1 chain of thought prompting elicits reasoning in large language models jason wei xuezhi wang dale schuurmans maarten bosma ed chi quoc le denny zhou pdf https arxiv org abs 2201 11903 2022 1 2 self consistency improves chain of thought reasoning in language models xuezhi wang jason wei dale schuurmans quoc le ed chi denny zhou pdf https arxiv org abs 2203 11171 2022 3 3 star self taught reasoner bootstrapping reasoning with reasoning eric zelikman yuhuai wu noah d goodman pdf https arxiv org abs 2203 14465 code https github com ezelikman star 2022 3 4 palm scaling language modeling with pathways aakanksha chowdhery sharan narang jacob devlin maarten bosma gaurav mishra adam roberts paul barham hyung won chung charles sutton sebastian gehrmann parker schuh kensen shi sasha tsvyashchenko joshua maynez abhishek rao parker barnes yi tay noam shazeer vinodkumar prabhakaran emily reif nan du ben hutchinson reiner pope james bradbury jacob austin michael isard guy gur ari pengcheng yin toju duke anselm levskaya sanjay ghemawat sunipa dev henryk michalewski xavier garcia vedant misra kevin robinson liam fedus denny zhou daphne ippolito david luan hyeontaek lim barret zoph alexander spiridonov ryan sepassi david dohan shivani agrawal mark omernick andrew m dai thanumalayan sankaranarayana pillai marie pellat aitor lewkowycz erica moreira rewon child oleksandr polozov katherine lee zongwei zhou xuezhi wang brennan saeta mark diaz orhan firat michele catasta jason wei kathy meier hellstern douglas eck jeff dean slav petrov noah fiedel pdf https arxiv org abs 2204 02311 2022 4 5 can language models learn from explanations in context andrew k lampinen ishita dasgupta stephanie c y chan kory matthewson michael henry tessler antonia creswell james l mcclelland jane x wang felix hill pdf https arxiv org abs 2204 02329 2022 4 6 inferring implicit relations with language models uri katz mor geva jonathan berant pdf https arxiv org abs 2204 13778 2022 4 7 the unreliability of explanations in few shot in context learning xi ye greg durrett pdf https arxiv org abs 2205 03401 2022 5 8 large language models are zero shot reasoners takeshi kojima shixiang shane gu machel reid yutaka matsuo yusuke iwasawa pdf https arxiv org abs 2205 11916 code https github com kojima takeshi188 zero shot cot 2022 5 9 least to most prompting enables complex reasoning in large language models denny zhou nathanael sch rli le hou jason wei nathan scales xuezhi wang dale schuurmans olivier bousquet quoc le ed chi pdf https arxiv org abs 2205 10625 2022 5 10 selection inference exploiting large language models for interpretable logical reasoning antonia creswell murray shanahan irina higgins pdf https arxiv org abs 2205 09712 2022 5 11 on the advance of making language models better reasoners yifei li zeqi lin shizhuo zhang qiang fu bei chen jian guang lou weizhu chen pdf https arxiv org abs 2206 02336 2022 6 12 emergent abilities of large language models jason wei yi tay rishi bommasani colin raffel barret zoph sebastian borgeaud dani yogatama maarten bosma denny zhou donald metzler ed h chi tatsunori hashimoto oriol vinyals percy liang jeff dean william fedus pdf https arxiv org abs 2206 07682 2022 6 13 minerva solving quantitative reasoning problems with language models posted by ethan dyer and guy gur ari research scientists google research blueshift team blog https ai googleblog com 2022 06 minerva solving quantitative reasoning html 2022 6 14 jiuzhang a chinese pre trained language model for mathematical problem understanding wayne xin zhao kun zhou zheng gong beichen zhang yuanhang zhou jing sha zhigang chen shijin wang cong liu ji rong wen pdf https arxiv org abs 2206 06315 code https github com rucaibox jiuzhang 2022 6 15 a dataset and benchmark for automatically answering and generating machine learning final exams sarah zhang reece shuttleworth derek austin yann hicke leonard tang sathwik karnik darnell granberry iddo drori pdf https arxiv org abs 2206 05442 2022 6 16 rationale augmented ensembles in language models xuezhi wang jason wei dale schuurmans quoc le ed chi denny zhou pdf https arxiv org abs 2207 00747 2022 7 17 language model cascades david dohan winnie xu aitor lewkowycz jacob austin david bieber raphael gontijo lopes yuhuai wu henryk michalewski rif a saurous jascha sohl dickstein kevin murphy charles sutton pdf https arxiv org abs 2207 10342 code https github com google research cascades 2022 7 18 text and patterns for effective chain of thought it takes two to tango aman madaan amir yazdanbakhsh pdf https arxiv org abs 2209 07686 2022 9 19 compositional semantic parsing with large language models andrew drozdov nathanael sch rli ekin aky rek nathan scales xinying song xinyun chen olivier bousquet denny zhou pdf https arxiv org abs 2209 15003 2022 9 20 dynamic prompt learning via policy gradient for semi structured mathematical reasoning pan lu liang qiu kai wei chang ying nian wu song chun zhu tanmay rajpurohit peter clark ashwin kalyan pdf https arxiv org abs 2209 14610 2022 9 21 language models are multilingual chain of thought reasoners freda shi mirac suzgun markus freitag xuezhi wang suraj srivats soroush vosoughi hyung won chung yi tay sebastian ruder denny zhou dipanjan das jason wei pdf https arxiv org abs 2210 03057 code https github com google research url nlp 2022 10 22 automatic chain of thought prompting in large language models zhuosheng zhang aston zhang mu li alex smola pdf https arxiv org abs 2210 03493 code https github com amazon science auto cot 2022 10 23 binding language models in symbolic languages zhoujun cheng tianbao xie peng shi chengzu li rahul nadkarni yushi hu caiming xiong dragomir radev mari ostendorf luke zettlemoyer noah a smith tao yu pdf https arxiv org abs 2210 02875 code https github com hkunlp binder 2022 10 24 react synergizing reasoning and acting in language models shunyu yao jeffrey zhao dian yu nan du izhak shafran karthik narasimhan yuan cao pdf https arxiv org abs 2210 03629 code https github com ysymyth react 2022 10 25 ask me anything a simple strategy for prompting language models simran arora avanika narayan mayee f chen laurel orr neel guha kush bhatia ines chami frederic sala christopher r pdf https arxiv org abs 2210 02441 code https github com hazyresearch ama prompting 2022 10 26 language models of code are few shot commonsense learners aman madaan shuyan zhou uri alon yiming yang graham neubig pdf https arxiv org abs 2210 07128 code https github com madaan cocogen 2022 10 27 large language models can self improve jiaxin huang shixiang shane gu le hou yuexin wu xuezhi wang hongkun yu jiawei han pdf https arxiv org abs 2210 11610 2022 10 28 large language models are few 1 shot table reasoners wenhu chen pdf https arxiv org abs 2210 06710 code https github com wenhuchen tablecot 2022 10 39 pal program aided language models luyu gao aman madaan shuyan zhou uri alon pengfei liu yiming yang jamie callan graham neubig pdf https arxiv org abs 2211 10435 2022 11 30 program of thoughts prompting disentangling computation from reasoning for numerical reasoning tasks wenhu chen xueguang ma xinyi wang william w cohen pdf https arxiv org abs 2211 12588 code https github com wenhuchen program of thoughts 2022 11 31 self prompting large language models for zero shot open domain qa junlong li zhuosheng zhang hai zhao pdf https arxiv org abs 2212 08635 2022 12 32 reasoning with language model prompting a survey shuofei qiao yixin ou ningyu zhang xiang chen yunzhi yao shumin deng chuanqi tan fei huang huajun chen pdf https arxiv org abs 2212 09597 code https github com zjunlp prompt4reasoningpapers 2022 12 33 towards reasoning in large language models a survey jie huang kevin chen chuan chang pdf https arxiv org abs 2212 10403 code https github com jeffhj lm reasoning 2022 12 34 large language models are reasoners with self verification yixuan weng minjun zhu shizhu he kang liu jun zhao pdf https arxiv org abs 2212 09561 code https github com wengsyx self verification 2022 12 35 towards understanding chain of thought prompting an empirical study of what matters boshi wang sewon min xiang deng jiaming shen you wu luke zettlemoyer huan sun pdf https arxiv org abs 2212 10001 code https github com sunlab osu understanding cot 2022 12 36 large language models are reasoning teachers namgyu ho laura schmid se young yun pdf https arxiv org abs 2212 10071 code https github com itsnamgyu reasoning teacher 2022 12 37 faithful chain of thought reasoning qing lyu shreya havaldar adam stein li zhang delip rao eric wong marianna apidianaki chris callison burch pdf https arxiv org abs 2301 13379 code https github com veronica320 faithful cot 2023 01 38 large language models are versatile decomposers decompose evidence and questions for table based reasoning yunhu ye binyuan hui min yang binhua li fei huang yongbin li pdf https arxiv org abs 2301 13808 code https github com itsnamgyu reasoning teacher 2023 02 39 multimodal chain of thought reasoning in language models zhuosheng zhang aston zhang mu li hai zhao george karypis alex smola pdf https arxiv org abs 2302 00923 code https github com amazon science mm cot 2023 02 40 large language models can be easily distracted by irrelevant context freda shi xinyun chen kanishka misra nathan scales david dohan ed chi nathanael sch rli denny zhou pdf https arxiv org abs 2302 00093 code https github com google research datasets gsm ic 2023 02 41 active prompting with chain of thought for large language models shizhe diao pengcheng wang yong lin tong zhang pdf https arxiv org abs 2302 12246 code https github com shizhediao active prompt 2023 02 42 mm react prompting chatgpt for multimodal reasoning and action zhengyuan yang linjie li jianfeng wang kevin lin ehsan azarnasab faisal ahmed zicheng liu ce liu michael zeng lijuan wang pdf https arxiv org abs 2303 11381 code https github com microsoft mm react 2023 03 43 exploring human like translation strategy with large language models zhiwei he tian liang wenxiang jiao zhuosheng zhang yujiu yang rui wang zhaopeng tu shuming shi xing wang pdf https arxiv org abs 2305 04118 code https github com zwhe99 maps mt 2023 05 44 reasoning implicit sentiment with chain of thought prompting hao fei bobo li qian liu lidong bing fei li tat seng chua pdf https arxiv org abs 2305 11255 code https github com scofield7419 thor isa 2023 05 45 element aware summarization with large language models expert aligned evaluation and chain of thought method yiming wang zhuosheng zhang rui wang pdf https arxiv org abs 2305 13412 code https github com alsace08 sumcot 2023 05 46 chain of thought prompting under streaming batch a case study yuxin tang pdf https arxiv org abs 2306 00550 2023 06 47 tab cot zero shot tabular chain of thought ziqi jin and wei lu pdf https arxiv org abs 2305 17812 code https github com xalp tab cot 2023 06 48 reasoning with language model is planning with world model shibo hao yi gu haodi ma joshua jiahua hong zhen wang daisy zhe wang zhiting hu pdf https arxiv org abs 2305 14992 code https github com ber666 rap 2023 05 49 recursion of thought a divide and conquer approach to multi context reasoning with language models soochan lee and gunehee kim pdf https arxiv org abs 2306 06891 code https github com soochan lee rot poster https soochanlee com img rot rot poster pdf 50 the cot collection improving zero shot and few shot learning of language models via chain of thought fine tuning seungone kim se june joo doyoung kim joel jang seonghyeon ye jamin shin minjoon seo pdf https arxiv org abs 2305 14045 51 cumulative reasoning with large language models yifan zhang jinqqin yang yang yuan andrew chi chih yao pdf https arxiv org abs 2308 04371 code https github com iiis ai cumulative reasoning 2023 08 | chain-of-thought large-language-models prompt-learning palm codex gpt-3 in-context-learning | ai |
guess | build status https travis ci com guess js guess svg branch master https travis ci com guess js guess guess js alpha libraries and tools for enabling data driven user experiences on the web quickstart for webpack users black circle data driven bundling install and configure guessplugin https github com guess js guess tree master packages guess webpack the guess js webpack plugin which automates as much of the setup process for you as possible should you wish to try out the modules we offer individually the packages directory contains three packages ga https github com guess js guess tree master packages guess ga a module for fetching structured data from the google analytics api to learn about user navigation patterns parser https github com guess js guess tree master packages guess parser a module providing javascript framework parsing this powers the route parsing capabilities implemented in the guess webpack plugin webpack https github com guess js guess tree master packages guess webpack a webpack plugin for setting up predictive fetching in your application it consumes the ga and parser modules and offers a large number of options for configuring how predictive fetching should work in your application for non webpack users black circle data driven loading our predictive fetching for sites https github com guess js guess tree master experiments guess static sites workflow provides a set of steps you can follow to integrate predictive fetching using the google analytics api to your site this repo uses google analytics http analytics google com data to determine which page a user is mostly likely to visit next from a given page a client side script which you ll add to your application sends a request to the server to get the url of the page it should fetch then prefetches this resource learn more what is guess js guess js provides libraries tools to simplify predictive data analytics driven approaches to improving user experiences on the web this data can be driven from any number of sources including analytics or machine learning https en wikipedia org wiki machine learning sa d ust 1522637949792000 models guess js aims to lower the friction of consuming and applying this thinking to all modern sites and apps including building libraries tools for popular workflows applying predictive data analytics thinking to sites could be applied in a number of contexts predict the next page or pages a user is likely to visit and prefetch these pages improving perceived page load performance and user happiness page level prerender prefetch the page which is most likely to be visited next bundle level prefetch the bundles associated with the top n pages on each page navigation at all the neighbors of the current page sorted in descending order by the probability to be visited fetch assets javascript chunks for the top n pages depending on the current connection effective type predict the next piece of content article product video a user is likely to want to view and adjust or filter the user experience to account for this predict the types of widgets an individual user is likely to interact with more e g games and use this data to tailor a more custom experience by collaborating across different touch points in the ecosystem where data driven approaches could be easily applied we hope to generalize common pieces of infrastructure to maximize their applicability in different tech stacks problems we re looking to solve developers using link rel prefetch https developer mozilla org en us docs web http link prefetching faq sa d ust 1522637949794000 for future navigations heavily rely on manually reading descriptive analytics to inform their decisions for what to prefetch these decisions are often made at a point in time and 1 are often not revisited as data trends change 2 are very limited in how they are used implementations will often only prefetch content from a homepage or very small set of hero pages but otherwise not do this for all of the possible entry points on a site this can leave performance opportunities on the table 3 require some amount of confidence about the data being used to drive decisions around using prefetching means that developers may not be adopting it out of worry they will waste bandwidth link rel prefetch is currently used on 5 https www chromestatus com metrics feature timeline popularity 917 of total chrome pageloads but this could be higher implementing predictive analytics is too complex for the average web developer most developers are unfamiliar with how to leverage the google analytics api https developers google com analytics devguides reporting core v4 sa d ust 1522637949796000 to determine the probability a page will be visited next we lack 1 page level solution a drop in client side solution for prefetching pages a user will likely visit 2 bundling level solution a set of plugins tools that work with today s javascript bundlers e g webpack to cluster and generate the bundles chunks a particular set of navigation paths could load quicker were they to be prefetched ahead of time most developers are not yet familiar with how machine learning https en wikipedia org wiki machine learning sa d ust 1522637949797000 works they are generally 1 unsure how and why ml could be integrated into their existing web tech stacks 2 what the value proposition of tensorflow https www tensorflow org sa d ust 1522637949797000 is or where solutions like the cloudml https cloud google com ml engine sa d ust 1522637949798000 engine fit in we have an opportunity to simplify the overhead associated with leveraging some of these solutions best in class low friction approaches in this space are still slowly emerging and are not yet as accessible to web developers without ml or data science backgrounds machine learning meets cloud intelligent prefetching https iihnordic com blog machine learning meets the cloud intelligent prefetching sa d ust 1522637949798000 by iih nordic tag managers like google tag manager https www google com analytics tag manager sa d ust 1522637949799000 can be used to decouple page content from the code tracking how the content is used this allows web analysts to upgrade the tracking code in real time with no site downtime tag managers allow a general solution for code injection and can be used to deploy intelligent prefetching the advantages analytics used to build the model comes from the tag manager we can also send data live to the predictor without additional tracker overhead after adding a few of iih nordic s tags to a gtm install a site can start to prefetch resources of the next pages and track load time saving opportunities iih nordic moved the predictive prefetching model to a web service the browser queries when a user visits a new page the service responds to each request and takes advantage of google cloud app engine and cloud ml https cloud google com ml engine sa d ust 1522637949799000 their solution chooses the most accurate model choices include a markov model https en wikipedia org wiki markov model sa d ust 1522637949800000 or most often a deep neural net in tensorflow https www tensorflow org sa d ust 1522637949800000 with user behavior changing over time predictive models require updating training from time to time training a model involves collecting and transforming data and fitting the parameters of the model accordingly iih nordic use google cloud to pull data from a customer s analytics service into a private data bucket in bigquery https cloud google com bigquery sa d ust 1522637949800000 they process this data train and test predictive models updating the prediction service seamlessly iih nordic suggest small slow sites update their models monthly larger sites may need to retrain daily or even hourly for news websites the benefit of training ml models in the cloud is ease of scale as additional machines gpus and processors can be added as needed machine learning driven bundling the future of javascript tooling http blog mgechev com 2018 03 18 machine learning data driven bundling webpack javascript markov chain angular react sa d ust 1522637949801000 by minko initial priority improved performance through data driven prefetching the first large priority for guess js will be improving web performance through predictive prefetching of content by building a model of pages a user is likely to visit given an arbitrary entry page a solution could calculate the likelihood a user will visit a given next page or set of pages and prefetch resources for them while the user is still viewing their current page this has the possibility of improving page load performance for subsequent page visits as there s a strong chance a page will already be in the user s cache possible approaches to predictive fetching in order to predict the next page a user is likely to visit solutions could use the google analytics api https developers google com analytics devguides reporting core v4 sa d ust 1522637949828000 google analytics session data can be used to create a model to predict the most likely page a user is going to visit next on a site the benefit of this session data is that it can evolve over time so that if particular navigation paths change the predictions can stay up to date too with the availability of this data an engine could insert link rel prerender prefetch preload tags to speed up the load time for the next page request in some tests such as mark edmondson s supercharging page loads with r http code markedmondson me predictclickopencpu supercharge html sa d ust 1522637949828000 this led to a 30 improvement in page load times the approach mark used in his research involved using gtm tags and machine learning to train a model for page predictions this is an idea mark continued in machine learning meets the cloud intelligent prefetching https iihnordic com blog machine learning meets the cloud intelligent prefetching sa d ust 1522637949828000 while this approach is sound the methodology used could be deemed a little complex another approach that could be taken which is simpler is attempting to get accurate prediction data from the google analytics api if you ran a report for the page https developers google com analytics devguides reporting core dimsmets 23view 3ddetail 26group 3dpage tracking 26jump 3dga pagepath sa d ust 1522637949829000 and previous page path https developers google com analytics devguides reporting core dimsmets 23view 3ddetail 26group 3dpage tracking 26jump 3dga previouspagepath sa d ust 1522637949829000 dimension combined with the pageviews https developers google com analytics devguides reporting core dimsmets 23view 3ddetail 26group 3dpage tracking 26jump 3dga pageviews sa d ust 1522637949830000 and exits https developers google com analytics devguides reporting core dimsmets 23view 3ddetail 26group 3dpage tracking 26jump 3dga exits sa d ust 1522637949830000 metrics this should provide enough data to wire up prefetches for most popular pages machine learning for predictive fetching ml could help improve the overall accuracy of a solution s predictions but is not a necessity for an initial implementation predictive fetching could be accomplished by training a model on the pages users are likely to visit and improving on this model over time deep neural networks are particularly good at teasing out the complexities that may lead to a user choosing one page over another in particular if we wanted to attempt a version of the solution that was catered to the pages an individual user might visit vs the pages a general median user might visit next fixed page sequences prev current next might be the easiest to begin dealing with initially this means building a model that is unique to your set of documents model updates tend to be done periodically so one might setup a nightly weekly job to refresh based on new user behaviour this could be done in real time but is likely complex so doing it periodically might be sufficient one could imagine a generic model representing behavioural patterns for users on a site that can either be driven by a trained status set google analytics or a custom description you plugin using a new layer into a router giving the site the ability to predictively fetch future pages improving page load performance possible approaches to speculative prefetch speculative prefetch on page load speculative prefetch can prefetch pages likely be navigated to on page load this assumes the existence of knowledge about the probability a page will need a certain next page or set of pages or a training model that can provide a data driven approach to determining such probabilities prefetching on page load can be accomplished in a number of ways from deferring to the ua to decide when to prefetch resources e g at low priority with link rel prefetch during page idle time via requestidlecallback https developer mozilla org en us docs web api window requestidlecallback sa d ust 1522637949834000 or at some other interval no further interaction is required by the user speculative prefetch when links come into the viewport a page could speculatively begin prefetching content when links in the page are visible in the viewport signifying that the user may have a higher chance of wanting to click on them this is an approach used by gatsby https www gatsbyjs org sa d ust 1522637949834000 which uses react https reactjs org sa d ust 1522637949835000 and react router https github com reacttraining react router sa d ust 1522637949835000 their specific implementation is as follows in browsers that support intersectionobserver https developer mozilla org en us docs web api intersection observer api sa d ust 1522637949836000 whenever a link component becomes invisible the link votes for the page linked to to be prefetched votes are worth slightly less points each time so links at the top of the page are prioritized over ones lower down e g the top nav if a page is linked to multiple times its vote count goes higher the prefetcher takes the top page and starts prefetching resources it s restricted to prefetching one page at a time so as to reduce contention over bandwidth with on page stuff not a problem on fast networks if a user visits a page and its resources haven t been fully downloaded prefetching stops until the page is loaded to ensure the user waits as little time as possible speculative prefetch on user interaction a page could begin speculatively prefetching resources when a user indicates they are interested in some content this can take many forms including when a user chooses to hover over a link or some portion of ui that would navigate them to a separate page the browser could begin fetching content for the link as soon as there was a clear indication of interest this is an approach taken by javascript libraries such as instantclick http instantclick io sa d ust 1522637949837000 risks data consumption as with any mechanism for prefetching content ahead of time this needs to be approached very carefully a user on a restricted data plan may not appreciate or benefit as much from pages being fetched ahead of time in particular if they start to eat up their data there are mechanisms a site solution could take to be mindful of this concern such as respecting the save data https developers google com web updates 2016 02 save data sa d ust 1522637949832000 header prefetching undesirable pages prefetching links to logout pages is likely undesirable the same could be said of any pages that trigger an action on page load e g one click purchase solutions may wish to include a blacklist of urls which are never prefetched to increase the likelihood of a prefetched page being useful web standards future of rel prerender some of the attempts to accomplish similar proposals in the past have relied on link rel prerender the chrome team is currently exploring deprecating rel prerender https groups google com a chromium org forum 23 topic blink dev 0nsxuuv9bbw sa d ust 1522637949833000 in favor of nostateprefetch https docs google com document d 16vcyggwau483imsxodpg5fazny1fj6vnk2v bum5ehu edit 23 sa d ust 1522637949833000 a lighter version of this mechanism that only prefetches to the http cache but uses no other state of the web platform a solution should factor in whether it will be relying on the replacement to rel prerender or using prefetch preload other approaches there are two key differences between nostateprefetch and prefetch 1 nostate prefetch is a mechanism and link rel prefetch is an api the nostate prefetch can be requested by other entry points omnibox prediction custom tabs link rel prerender 2 the implementation is different link rel prefetch prefetches one resource but nostate prefetch on top of that runs the preload scanner on the resource in a fresh new renderer discovers subresources and prefetches them as well without recursing into preload scanner relevant data analytics there are three primary types https halobi com blog descriptive predictive and prescriptive analytics explained sa d ust 1522637949802000 of data analytics worth being aware of in this problem space descriptive predictive and prescriptive each type is related and help teams leverage different kinds of insight descriptive what has happened descriptive analytics summarizes raw data and turns it into something interpretable by humans it can look at past events regardless of when the events have occurred descriptive analytics allow teams to learn from past behaviors and this can help them influence future outcomes descriptive analytics could determine what pages on a site users have previously viewed and what navigation paths they have taken given any given entry page predictive what will happen predictive analytics predicts what can happen next predictive analytics helps us understand the future and gives teams actionable insights using data it provides estimates of the likelihood of a future outcome being useful it s important to keep in mind few algorithms can predict future events with complete accuracy but we can use as many signals that are available to us as possible to help improve baseline accuracy the foundation of predictive analytics is based on probabilities we determine from data predictive analytics could predict the next page or set of pages a user is likely to visit given an arbitrary entry page prescriptive what should we do prescriptive analytics enables prescribing different possible actions to guide towards a solution prescriptive analytics provides advice attempting to quantify the impact future decisions may have to advise on possible outcomes before these decisions are made prescriptive analytics aims to not just predict what is going to happen but goes further informing why it will happen and providing recommendations about actions that can take advantage of such predictions prescriptive analytics could predict the next page a user will visit but also suggest actions such as informing you of ways you can customize their experience to take advantage of this knowledge relevant prediction models markov models the key objective of a prediction model in the prefetching problem space is to identify what the subsequent requests a user may need given a specific page request this allows a server or client to pre fetch the next set of pages and attempt to ensure they are in a user s cache before they directly navigate to the page the idea is to reduce overall loading time when this is implemented with care this technique can reduce page access times and latency improving the overall user experience markov models https en wikipedia org wiki markov model sa d ust 1522637949805000 have been widely used for researching and understanding stochastic random probability distribution process ref http citeseerx ist psu edu viewdoc download doi 3d10 1 1 436 2396 26rep 3drep1 26type 3dpdf sa d ust 1522637949806000 ref https www researchgate net publication 266568034 effective web cache pre fetching technique using markov chain sa d ust 1522637949806000 they have been demonstrated to be well suited for modeling and predicting a user s browsing behavior the input for these problems tends to be the sequence of web pages accessed by a user or set of users site wide with the goal of building markov models we can use to model and predict the pages a user will most likely access next a markov process has states representing accessed pages and edges representing transition probabilities between states which are computed from a given sequence in an analytics log a trained markov model can be used to predict the next state given a set of k previous states in some applications first order markov models aren t as accurate in predicting user browsing behaviors as these do not always look into the past to make a distinction between different patterns that have been observed this is one reason higher order models are often used these higher order models have limitations with state space complexity less broad coverage and sometimes reduced prediction accuracy all kth order markov model one way ref http www siam org meetings sdm01 pdf sdm01 04 pdf sa d ust 1522637949807000 to overcome this problem is to train varying order markov models which we then use during the prediction phase this was attempted in the all kth order markov model http www siam org meetings sdm01 pdf sdm01 04 pdf sa d ust 1522637949808000 proposed in this ref https dl acm org citation cfm id 3d1251493 sa d ust 1522637949808000 this can make state space complexity worse however another approach is to identify frequent access patterns longest repeating subsequences and use this set of sequences for predictions although this approach can have an order of magnitude reduction on state space complexity it can reduce prediction accuracy selective markov models selective markov models http www siam org meetings sdm01 pdf sdm01 04 pdf sa d ust 1522637949808000 smm which only store some states within the model have also been proposed as a solution to state space complexity tradeoffs they begin with a all kth order markov model a post pruning approach is then used to prune states that are not expected to be accurate predictors the result of this is a model which has the same prediction power of all kth order models with less space complexity and higher prediction accuracy in deshpane and karpis http www siam org meetings sdm01 pdf sdm01 04 pdf sa d ust 1522637949809000 different criteria to prune states in the model before prediction frequency confidence error are looked at semantic pruned selective markov models in mabroukeh and ezeife http ieeexplore ieee org document 5360449 reload 3dtrue sa d ust 1522637949809000 the performance of semantic rich 1st and 2nd order markov models was studied and compared with that of higher order smm and semantic pruned smm they discovered that semantic pruned smm have a 16 smaller size than frequency pruned smm and provide nearly an equal accuracy clustering observing navigation patterns can allow us to analyze user behavior this approach requires access to user session identification clustering sessions into similar clusters and developing a model for prediction using current and earlier access patterns much of the previous work in this field has relied on clustering schemes like the k means clustering https en wikipedia org wiki k means clustering sa d ust 1522637949810000 technique with euclidean distance https en wikipedia org wiki euclidean distance sa d ust 1522637949810000 for improving confidence of predictions one of the drawbacks to using k means is difficulty deciding on the number of clusters selecting the initial random center and the order of page visits is not always considered kumar et al http ieeexplore ieee org document 7519368 sa d ust 1522637949811000 investigated this proposing a hierarchical clustering technique with a modified levenshtein distance https en wikipedia org wiki levenshtein distance sa d ust 1522637949811000 pagerank using access time length frequency and higher order markov models for prediction research review many of the papers referenced in the following section are centered around the markov model association rules and clustering papers highlighting relevant work related to pattern discovery for evolving page prediction accuracy are our focus sarukkai 2000 link prediction and path analysis using markov chains https www sciencedirect com science article pii s138912860000044x sa d ust 1522637949813000 uses first order markov models to model the sequence of web pages requested by a user for predicting the next page they are likely to access markov chains allow the system to dynamically model url access patterns observed in navigation logs based on previous state a personalized markov model is trained for each user and used to predict a user s future sessions in practice it s overly expensive to construct a unique model for each user and the cost of scaling this becomes more challenging when a site has a large user base chun jung lin 2005 using hidden markov model to predict the surfing user s intention of cyber purchase on the web https www researchgate net publication 260319657 using hidden markov model to predict the surfing user s intention of cyber purchase on the web sa d ust 1522637949814000 first paper to investigate hidden markov models hmm author collected web server logs pruned the data and patched the paths users passed by based on hmm author constructed a specific model for web browsing that predicts whether the users have the intention to purchase in real time related measures like speeding up the operation and their impact when in a purchasing mode are investigated elli voudigari 2010 2011 a framework for web page rank prediction https link springer com chapter 10 1007 978 3 642 23960 1 29 sa d ust 1522637949814000 proposes a framework to predict ranking positions of a page based on their previous rankings assuming a set of successive top k rankings the author identifies predictors based on different methodologies prediction quality is quantified as the similarity between predicted and actual rankings exhaustive experiments were performed on a real world large scale dataset for both global and query based top k rankings a variety of existing similarity measures for comparing top k ranked lists including a novel one captured in the paper mogul 1996 using predictive prefetching to improve world wide web latency https www semanticscholar org paper using predictive prefetching to improve world wide padmanabhan mogul 4d7e5e430bec3db4044b13ce8da7411f09c745f3 sa d ust 1522637949815000 proposes using n hop markov models to predict the next web page users are likely to access pattern matches the user s current access sequence with the user s historical web access sequences to improve the prediction accuracy for prefetches borges levene 2007 evaluating variable length markov chain models for analysis of user web navigation sessions http ieeexplore ieee org document 4118703 sa d ust 1522637949816000 proposes dynamic clustering based methods to increase markov model accuracy in representing a collection of web navigation sessions uses a state cloning concept to duplicate states in a way separating in links whose corresponding second order probabilities diverge the method proposed includes a clustering technique determining a way to assign in links with similar second order probabilities to the same clone banu deniz gunel 2010 investigating the effect of duration page size and frequency on next page recommendation with page rank algorithm https www researchgate net publication 268366760 investigating the effect of duration page size and frequency on next page recommendation with page rank algorithm sa d ust 1522637949817000 extends the use of a page rank algorithm with numerous navigational attributes size of the page duration time of the page duration of transition two page visits sequentially frequency of page and transition defines a duration based rank dpr and popularity based page rank ppr author looked at the popularity of transitions and pages using duration information using it with page size and visit frequency using the popularity value of pages this paper attempts to improve conventional page rank algorithms and model a next page prediction under a given top n value references supercharging page loads with r http code markedmondson me predictclickopencpu supercharge html sa d ust 1522637949840000 using google analytics to predict clicks https www noisetosignal io 2016 11 using google analytics to predict clicks and speed up your website sa d ust 1522637949841000 gatsby s link https github com gatsbyjs gatsby tree master packages gatsby link sa d ust 1522637949841000 eve dynamic prerender https wordpress org plugins eve dynamic prerender sa d ust 1522637949841000 instartlogic multi page predictive prefetching https www instartlogic com blog predicting future multi page predictive prefetching sa d ust 1522637949841000 sirko engine https github com sirko io engine sa d ust 1522637949842000 relies on service worker h2 team h2 table tbody tr td align center valign top img width 100 height 100 src https github com mgechev png s 150 br a href https github com mgechev minko gechev a td td align center valign top img width 100 height 100 src https github com addyosmani png s 150 br a href https github com addyosmani addy osmani a td td align center width 20 valign top img width 100 height 100 src https github com khempenius png s 150 br a href https github com khempenius katie hempenius a td td align center valign top img width 100 height 100 src https github com kyleamathews png s 150 br a href https github com kyleamathews kyle mathews a td tr tbody table | machine-learning performance web-performance prefetch prerender hacktoberfest | ai |
db-capstone-project | db capstone project | data dataanalytics database mysql mysqlworkbench python tableau | server |
learningmachines | a conjurer s introduction to machine learning in javascript getting machine learning up and running is similar to picking up other external libraries take on these projects and you ll have solved problems using neural networks random forests and support vector machines precourse steps fork and clone this repo and i m never opposed to some appreciation in the form of a star download the kaggle data and move it to the right folder https www kaggle com c givemesomecredit data move the data file to learningmachines neuralnet server neuralnet train csv and make sure it is named train csv use npm to install all dependencies start the server nodemon server js you can now make api calls to this server either through your browser http localhost 5000 neuralnet startnet or through curl on your command line curl localhost 5000 neuralnet startnet the key files in our node server are in the neuralnet folder neuralnetlogic js is where we have all the actual js logic built out your turn here are the things i expect you to do 1 create a new net 2 train that net 3 get predicted outcomes from that net in testing 4 add in new data to train the net rewrite what s currently in formatdata with new data points or features as they re called in data science that are combinations of the raw data we already have examples would include exact ratios that the net currently can t access because we ve already transformed the data into a number between 0 and 1 extra credit handle cases that have missing data na differently than cases that have full data perform any other feature engineering you can think of fantasy mode parallelize the training of multiple nets at the same time training each net is synchronous so parallelizing won t help you train a single net any faster but you could try creating multiple versions that have different parameters number of nodes hidden layers learning rate etc and train those in parallel with each other build out grid search to try different combinations of number of hidden layers and number of nodes trying different combinations of hyperparameters the parameters that determine the shape or conditions of the algorithm such as number of nodes or number of hidden layers to find the optimal set is called grid search scikit learn has a good module explaining and implementing grid search http scikit learn org stable modules generated sklearn grid search gridsearchcv html we can t use their implementation direction but it s a good explanation of the high level concept | javascript learning-machine-learning teaching machine-learning tutorial | ai |
libre-chat | div align center span img height 30 src https raw github com vemonet libre chat main docs docs assets logo png span libre chat test package https github com vemonet libre chat actions workflows test yml badge svg https github com vemonet libre chat actions workflows test yml coverage https coverage badge samuelcolvin workers dev vemonet libre chat svg https coverage badge samuelcolvin workers dev redirect vemonet libre chat pypi version https img shields io pypi v libre chat svg logo pypi label pypi logocolor silver https pypi org project libre chat pypi python version https img shields io pypi pyversions libre chat svg logo python label python logocolor silver https pypi org project libre chat license https img shields io pypi l libre chat https github com vemonet libre chat blob main license txt pull requests welcome https img shields io badge pull 20requests welcome brightgreen https github com vemonet libre chat fork easily configure and deploy a fully self hosted chatbot web service based on open source large language models llms such as llama 2 https ai meta com llama without the need for knowledge in machine learning or programmation div free and open source chatbot web service with ui and api fully self hosted not tied to any service and offline capable forget about api keys models and embeddings can be pre downloaded and the training and inference processes can run off line if necessary easy to setup no need to program just configure the service with a yaml https yaml org file and start it with 1 command available as a pip package or docker image no need for gpu this will work even on your laptop cpu that said running on cpus can be quite slow up to 1min to answer a documents base question on recent laptops so we are working on making a better use of gpu when available powered by langchain https python langchain com to support performant open source models inference llama 2 ggml 7b https huggingface co thebloke llama 2 7b chat ggml 13b https huggingface co llamaste llama 2 13b chat hf 70b https huggingface co llamaste llama 2 70b chat hf llama 2 gptq 7b https huggingface co thebloke llama 2 7b chat gptq 13b https huggingface co thebloke llama 2 13b chat gptq 70b https huggingface co thebloke llama 2 70b chat gptq various types of agents can be deployed generic conversation do not need any additional training just configure settings such as the template prompt documents based question answering automatically build similarity vectors from documents uploaded through the api ui the chatbot will use them to answer your question and return which documents were used to generate the answer pdf csv html json markdown and more supported readable logs to understand what is going on modern and lightweight chat web interface working well on desktop and mobile with support for light dark theme streaming response and markdown rendering checkout the demo at chat semanticscience org https chat semanticscience org documentation for more details on how to use libre chat check the documentation at vemonet github io libre chat http vemonet github io libre chat work in progress development on this project has just started use it with caution those checkpoints are features we plan to work on in the future feel free to let us know in the issues if you have any comment or request x add support for returning sources in ui when using documents based qa x stream response to the websocket to show words as they are generated x speed up inference better use of gpus especially when doing qa look into using mlc https mlc ai mlc llm to run inference instead of ctransformers add button to let the user stop the chatbot generation for when it goes wild kubernetes deployment helm chart try with vicuna model add authentication mechanisms oauth openid connect add an admin dashboard web ui to enable users to upload inspect delete documents for qa see edit the config of the chatbot migrate to svelte with config retrieved from api ui screenshot https raw github com vemonet libre chat main docs docs assets screenshot png ui screenshot https raw github com vemonet libre chat main docs docs assets screenshot light png deploy with docker if you just want to quickly deploy it using the pre trained model llama 2 7b chat ggml you can use docker bash docker run it p 8000 8000 ghcr io vemonet libre chat main you can configure the deployment using environment variables for this using a docker compose and a env file is easier first create the docker compose yml file yaml version 3 services libre chat image ghcr io vemonet libre chat main volumes share folders from the current directory to the data dir in the container chat yml data chat yml models data models documents data documents embeddings data embeddings vectorstore data vectorstore ports 8000 8000 and create a chat yml file with your configuration in the same folder as the docker compose yml yaml llm model type llama model path models llama 2 7b chat ggmlv3 q3 k l bin we recommend to predownload the files but you can provide download urls that will be used if the files are not present model download https huggingface co thebloke llama 2 7b chat ggml resolve main llama 2 7b chat ggmlv3 q3 k l bin temperature 0 01 config how creative but also potentially wrong the model can be 0 is safe 1 is adventurous max new tokens 1024 max number of words the llm can generate prompt always use input for the human input variable with a generic agent variables input history template your are an assistant please help me history user input ai assistant vector vector path null path to the vectorstore to do qa retrieval e g vectorstore db faiss set to null to deploy a generic conversational agent vector download null embeddings path embeddings all minilm l6 v2 path to embeddings used to generate the vectors or use directly from huggingface sentence transformers all minilm l6 v2 embeddings download https public ukp informatik tu darmstadt de reimers sentence transformers v0 2 all minilm l6 v2 zip documents path documents path to documents to vectorize chunk size 500 maximum size of chunks in terms of number of characters chunk overlap 50 overlap in characters between chunks chain type stuff or map reduce reduce map rerank more details https docs langchain com docs components chains index related chains search type similarity or similarity score threshold mmr more details https python langchain com docs modules data connection retrievers vectorstore return sources count 2 number of sources to return when generating an answer score threshold null if using the similarity score threshold search type between 0 and 1 info title libre chat version 0 1 0 description open source and free chatbot powered by langchain https python langchain com and llama 2 https ai meta com llama 7b https huggingface co thebloke llama 2 7b chat ggml see also api docs alternative ui ui examples what is the capital of the netherlands which drugs are approved by the fda to mitigate alzheimer symptoms how can i create a logger with timestamp using python logging favicon https raw github com vemonet libre chat main docs docs assets logo png repository url https github com vemonet libre chat public url https chat semanticscience org contact name vincent emonet email vincent emonet gmail com license info name mit license url https raw github com vemonet libre chat main license txt finally start your chat service with bash docker compose up usage with pip this package requires python 3 8 simply install it with pipx or pip bash pip install libre chat use as a command line interface you can easily start a new chat web service including ui and api using your terminal bash libre chat start provide a specific config file bash libre chat start config chat vectorstore qa yml for re build of the vectorstore bash libre chat build vector vectorstore db faiss documents documents get a full rundown of the available options with bash libre chat help use with python or you can use this package in python scripts python import logging import uvicorn from libre chat import chatconf chatendpoint llm logging basicconfig level logging getlevelname info conf chatconf model path models llama 2 7b chat ggmlv3 q3 k l bin vector path none llm llm conf conf print llm query what is the capital of the netherlands create and deploy a fastapi app based on your llm app chatendpoint llm llm conf conf uvicorn run app credits inspired by https github com kennethleungty llama 2 open source llm cpu inference https github com lm sys fastchat https github com liltom eth llama2 webui a href https www flaticon com free icons llama title llama icons llama icons created by freepik flaticon a | large-language-models llm llm-inference open-source openapi self-hosted chatbot llama2 no-code chatgpt question-answering langchain | ai |
lane-detection-with-opencv | lane detection with opencv udacity self driving car nanodegree https s3 amazonaws com udacity sdc github shield carnd svg http www udacity com drive image resources plot lane png raw true this project uses computer vision to label the lanes in a driving video calculate the curvature of the lane and estimate the distance of the vehicle from the center of the lane steps compute the camera calibration matrix and distortion coefficients given a set of chessboard images apply the distortion correction to the raw image use color transforms gradients etc to create a thresholded binary image apply a perspective transform to rectify binary image birds eye view detect lane pixels and fit to find lane boundary determine curvature of the lane and vehicle position with respect to center warp the detected lane boundaries back onto the original image output visual display of the lane boundaries and numerical estimation of lane curvature and vehicle position how to run the project clone the repo git clone git github com ckirksey3 lane detection with opencv git cd lane detection with opencv set up your environment if you don t already have tools like jupyter and opencv installed follow the udacity instructions https github com udacity carnd term1 starter kit blob master doc configure via anaconda md to configure an anaconda environment that will give you these tools run the notebook jupyter notebook walk through the steps to see the code in practice execute each cell in succession by pressing shift enter you can also run the whole notebook in a single step by clicking on the menu cell run all project walkthrough calibrate camera with chessboard chessboard resources chessboard png raw true chessboard calibration the first step is to calibrate our camera this is done to remove the distortion that lenses create and ensure that our lane finding algorithm could be generalized to different cameras we do this back by taking an image that our camera took of a chessboard and leveraging the cv2 findchessboardcorners and calibratecamera functions to get a camera matrix and distant coefficients these can be used to undistort all future images from this camera get binary image with gradient image resources threshold gradient png raw true our first iteration of computing a thresholded gradient of the road image is to apply the sobel operator in the x direction to a greyscaled version of our image and finally compute the absolute value of the result this isolates the gradients in the image and gives an image that we can use to isolate the lane lines relying on absolute value has some limitations though as you can see from the sample image there is still a lot of noise within the lane gradient with magnitude image resources threshold magnitude png raw true next we try taking the maginute of the sobel operator in both the x and y direction by not relying too much on either directions we re able to clear out much of the noise from the previous image however there are still some thick lines in the middle that could confuse our lane detector you can also notice that both gradients fail to detect the yellow lane at all we ll need to fix this if we want to be able to drive anywhere with yellow lanes aka all most everywhere gradient with direction image resources threshold gradient dir png raw true in order to detect those yellow lanes we can compute the direction of the gradient as the arctangent of the gradient in the y direction divided by the gradient in the x direction this is a much noisier gradient than our magnitude gradient but it accurately captures the identical direction of the pixels from the yellow lane we have some tricks for removing the rest of the noise combining thresholds image resources threshold combined png raw true now that we ve isolated the white lanes with magnitude thresholding and the yellow lanes with direction thresholding we can combine those images with base x y sobel thresholds to get a result that captures both lanes despite lengthy tweaking of the sobel kernel size and the thresholds for the various functions i ve been unable to remove the noise in the middle of the lane since the markings on this section of the road are a different color than the lanes we should be able to remove them with another technique color thresholding image resources threshold color png raw true in this step we isolat the lightness and saturation channels of the color image and then take an absolute sobel in the x direction of the lightness channel finally we compute a binary that activates a pixel if it s saturated pixel is within the hardcoded threshold or if it s scaled sobel pixel of the lightness channel is within a separate hardcoded threshold after extensive trial and error with these thresholds i was able to get ranges that effectively isolate the lanes in a variety of images combine color and gradient thresholding image resources color plus gradient png raw true apply perspective transform image resources perspective transform png raw true next i use this bounding box to compute a perspective transformed or bird s eye view version of the road image this was one of the more challenging aspects of the project i wanted to get a more accurate transform than i currently have but i realized that my lane detection could still be accurate with an imperfect transform while working on this aspect of the pipeline i found it helpful to compute the transform on a collection of sample images the transform works pretty well on straight roads but fails to transform curvy road segments accurately given more time i would use other computer vision techniques to compute the bounding box dynamically for instance i could use hough lines to get a rough estimate of the lane location and horizon for computing a bounding box that adjusts for different images plot fit line and calculate curvature image resources plot curve png raw true the bulk of the project is this step of taking a top down image with the lane lines isolated and computing polynomials that fit to the left and right lane lines these are the steps that i take to do this 1 divide image in half vertically and use the bottom quarter of each image to find the x coordinate with the most white pixels in it these coordinates will be used as the estimate for the left and right lanes starting position 1 iterate through vertical segments of the image starting from the bottom and moving up detecting the most activated x coordinate in each segment and appending to lists for the left and right lanes also keep track of the y position for each of these vertical segments 1 leverage the lists of x and y positions for the two lanes and the numpy polyfit function to get a second order polynomial that fits the points we detected 1 use these polynomials to compute the radius of curvature 1 this process is fairly reliable and inaccuracies in the starting position or shape of the polynomial can generally be traced to inaccurate input images plot lane area and warp back to original image image resources plot lane png raw true once we ve computed the fit polynomial for the left and right lanes we can use it in conjuction with y values from the vertical segments that we iterated through to plot a fill space on the image highlighting the lane final result on video driving video https img youtube com vi kojnmwngneo 0 jpg https www youtube com watch v kojnmwngneo reflections this project was able to make steady gradual process by breaking each step of the pipeline into a separate function and slowly iterating on each one one of the key opportunities for improvement would be to apply a minimum threshold for lane detection when building my polynomial for instance if i m processing an image where the left lane has very little white pixels at all i d automatically calculate that and just reuse the lane polynomial from the previous frame there are still some limitations on the gradient itself occasionally it will detect creases in the road left from construction as lane lines i could probably reduce the impact of this be enforcing a certain lane width and rejecting any lane estimates that fall outside of that width this was a very interesting project and i enjoyed learning the nuances of the producing the lane polynomial the end product was pretty satisfying too as it looks much smoother than the original project with rough lane estimates | udacity lane-finding self-driving-car computer-vision cv2 | ai |
Cloud-Data-Engineering-Road-map- | cloud data engineering road map cloud data engineering road map any cloud platform aws azure gcp best resources to learn aws https bit ly 3cmpebw by great learning gcp https bit ly 3vg800b by edureka azure https bit ly 3ckbvox by edureka https bit ly 3evixfa by deepak goyal best resources to learn language python java scala python https bit ly 3fv4qc8 by krish naik java https bit ly 3clgfuv by suraz g scala https bit ly 3cn7r7e by suraz g best resources to learn dbms sql https bit ly 3yvrpb9 by scaler shashank mishra https bit ly 3co9wvy by udacity datalemur ace the sql interview nick singh sql practice best resources to learn hadoop spark hive nosql hadoop https bit ly 3vdfthb by suraz g spark https bit ly 3yvhaya by suraz g hive https bit ly 3srg7ih by suraz g no sql https bit ly 3fruswr by freecodecamp best resources to learn etl data warehouse https bit ly 3rzateu by intellipaat https bit ly 3eskspp by intellipaat | cloud |
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machine_feeling | smiley machine feeling smiley an emoji ful introduction to computer vision and machine learning introduction smirk this small project is intended as a beginning to some of the fundamental ideas of machine learning and computer vision specifically this is a look at the problem of categorizing images along with some potential solutions our goal in this project is to walk through how something like this may work goal relaxed the problem herein is that we want to be able to identify whether the emoji we see on the internet is positive blush neutral neutral face or negative angry in this somewhat contrived scenario we the enterprising young computer scientists have decided to build software to perform several tasks in accomplishing this goal 1 we need a way to take a picture or photograph something within our computer i e something we see on the internet we could do this by using our phone or a screenshot software but we are grade a hipsters so we ll be using opencv a computer vision buzzword platform to build this ourselves 2 this picture should then be plopped into some machine learning algorithm yay more buzzwords that will tell us hopefully which if our emoji is looking positive negative or somewhere in between some notes grin yes this is an arguably absurdly contrived example on which to learn some basic machine learning and computer vision yes there are likely better ways to do this than using machine learning especially since we can usually tell what emotion an emoji is already given the above two things we designed the project this way because it seemed fun and entertaining please do not take this project in any way shape or form as a representation of all that either machine learning or computer vision are capable this barely scratches the surface of either field to get started first i would recommend using some form of dedicated environment as with virtualenv but if you don t wish to that s ok too the rest is as easy as installing the requirements with pip install r requirements txt then navigate to the directory containing run assuming you re in the machine feeling directory cd src cd sample and run run py run py h if you receive a message about your ability to run that file go ahead and change the permissions chmod x run py and you should be able to run it please note due to a bug with keras you will likely get an error about subtraction and negative sizes the way i recommend is modifying the file at keras keras json where it reads image dim ordering something here and change that row to read image dim ordering tf you may also get an error about input dimensions in which case you should change the model such that the layers pass on the correct dimensionality to the layers after them all bugs should be fixed for distro code please do let me know if anything doesn t work conclusion heart we sincerely hope that you enjoy working through this project and go on to pursue your interest in both machine learning and computer vision if you find a bug a typo or simply wish to contribute please do make a pull request with your edit sincerely potc | machine-learning computer-vision emoji buzzwords introduction | ai |
doubleWheel_Vehicle | doublewheel vehicle system overview demo systematic scheme image https github com professor1996 doublewheel vehicle blob main 1 mechanics 0 frame png demo image https github com professor1996 doublewheel vehicle blob main 1 mechanics balance 20demo gif license | complementary-filter control-systems imu-sensor mit-license | os |
intro-to-deep-learning-for-nlp | introduction to deep learning and nlp requirements to run the notebooks anaconda for python 2 keras link to the slides https speakerdeck com unnati xyz introduction to deep learning and nlp pydata london 2016 topics 1 what is deep learning 2 motivation some use cases where it has produced state of art results 3 basic building blocks of neural networks neuron activation function back propagation algorithm gradient descent algorithm 4 supervised learning multi layer perceptron recurrent neural network notebook https github com unnati xyz intro to deep learning for nlp blob master multi layer perceptron ipynb 5 introduction to word2vec notebook https github com unnati xyz intro to deep learning for nlp blob master word2vec ipynb 6 introduction to recurrent neural networks 7 text classification using rnn notebook https github com unnati xyz intro to deep learning for nlp blob master recurrent 20neural 20networks ipynb 8 impact of gpus some practical thoughts on hardware and software | ai |
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NLP2SPARQL | thanks for checking out this readme template if you have a suggestion that would make this better please fork the repo and create a pull request or simply open an issue with the tag enhancement thanks again now go create something amazing d project shields i m using markdown reference style links for readability reference links are enclosed in brackets instead of parentheses see the bottom of this document for the declaration of the reference variables for contributors url forks url etc this is an optional concise syntax you may use https www markdownguide org basic syntax reference style links project logo br h1 spbert a pre trained model for sparql query language h1 br about the project in this project we provide the code for reproducing the experiments in our paper https arxiv org abs 2106 09997 spbert is a bert based language model pre trained on massive sparql query logs spbert can learn general purpose representations in both natural language and sparql query language and make the most of the sequential order of words that are crucial for structured language like sparql prerequisites to reproduce the experiment of our model please install the requirements txt according to the following instructions transformers 4 5 1 pytorch 1 8 1 python 3 7 10 sh pip install r requirements txt pre trained models we release three versions of pre trained weights pre training was based on the original bert code https github com google research bert provided by google and training details are described in our paper you can download all versions from the table below pre training objective model steps link mlm spbert scratch 200k razent spbert mlm zero https huggingface co razent spbert mlm zero mlm spbert bert initialized 200k razent spbert mlm base https huggingface co razent spbert mlm base mlm wso spbert bert initialized 200k razent spbert mlm wso base https huggingface co razent spbert mlm wso base datasets all evaluation datasets can download here https drive google com drive folders 1m pj0prudpcwafuxlvp s48hgg aasjb usp sharing example to fine tune models bash python run py do train do eval model type bert model architecture bert2bert encoder model name or path bert base cased decoder model name or path sparql mlm zero source en target sparql train filename lcquad train dev filename lcquad dev output dir max source length 64 weight decay 0 01 max target length 128 beam size 10 train batch size 32 eval batch size 32 learning rate 5e 5 save inverval 10 num train epochs 150 to evaluate models bash python run py do test model type bert model architecture bert2bert encoder model name or path bert base cased decoder model name or path sparql mlm zero source en target sparql load model path checkpoint best bleu pytorch model bin dev filename lcquad dev test filename lcquad test output dir max source length 64 max target length 128 beam size 10 eval batch size 32 contact contact email heraclex12 gmail com mailto heraclex12 gmail com hieu tran citation inproceedings tran2021spbertae title spbert an efficient pre training bert on sparql queries for question answering over knowledge graphs author hieu tran and long phan and james t anibal and binh thanh nguyen and truong son nguyen booktitle iconip year 2021 | sparql question-answering knowledge-base pretrained-language-model machine-translation bert2bert spbert | ai |
paper-template | paper template collection of paper latex template for several computer vision related conference currently we have latex template for the following conference 1 conference on computer vision and pattern recognition cvpr 2017 nips nips 2017 2 european conference on computer vision eccv 2016 eccv eccv 2016 3 international conference on learning representations iclr 2016 iclr iclr 2016 2017 iclr iclr 2017 4 international conference on machine learning icml 2017 icml icml 2017 5 conference on neural information processing systems nips 2017 nips nips 2017 we really appreciate it that if you can build it with us | template paper latex-template conference-paper computer-vision | ai |
operateGPT | operategpt revolutionize your operations with one line requests div align center p a href https github com xuyuan23 operategpt img alt stars src https img shields io github stars xuyuan23 operategpt style social a a href https github com xuyuan23 operategpt img alt forks src https img shields io github forks xuyuan23 operategpt style social a a href https opensource org licenses mit img alt license mit src https img shields io badge license mit yellow svg a a href https opensource org licenses mit img alt license mit src https img shields io badge license mit yellow svg a a href https github com xuyuan23 operategpt releases img alt release notes src https img shields io github release xuyuan23 operategpt a a href https github com xuyuan23 operategpt issues img alt open issues src https img shields io github issues raw xuyuan23 operategpt a a href https codespaces new xuyuan23 operategpt img alt open in github codespaces src https github com codespaces badge svg a p docs zh readme zh md documents http operategpt cn docs category docen website http operategpt cn div a href http dev operategpt cn experience now a latest release version v0 0 1 docs en operategpt md multi models management docs en multi models manage md using large language models and multi agent technology a single request can automatically generate marketing copy images and videos and with one click can be sent to multiple platforms achieving a rapid transformation in marketing operations operategpt process assets operategpt process png supported llms llm supported model type notes chatgpt proxy default bard proxy vicuna 13b local model vicuna 13b v1 5 local model vicuna 7b local model vicuna 7b v1 5 local model chatglm 6b local model chatglm2 6b local model baichuan 13b local model baichuan2 13b local model baichuan 7b local model baichuan2 7b local model qwen 7b chat coming soon local model supported embedding models llm supported notes sentence transformers default text2vec large chinese m3e large bge large en bge large zh installation firstly download and install the relevant llms commandline mkdir models cd models size 522 mb git lfs install git clone https huggingface co sentence transformers all minilm l6 v2 optional size 94 gb supported run in cpu model ram 14 gb stablediffusion proxy service is recommended https github com xuyuan23 stablediffusion proxy git lfs install git clone https huggingface co stabilityai stable diffusion xl base 1 0 optional size 16 gb supported run in cpu model ram 16 gb text2video service is recommended https github com xuyuan23 text2video git lfs install git clone https huggingface co cerspense zeroscope v2 576w then download dependencies and launch your project commandline yum install gcc c pip install r requirements txt copy file env template to new file env and modify the params in env cp env template env options deploy stablediffusion service if stablediffusion proxy is used no need to execute it python operategpt providers stablediffusion py options deploy text2video service if text2video proxy server is used no need to execute it python operategpt providers text2video py quick trial two params idea and language en is default also supported zh chinese python main py prepare a travel plan to australia en configuration by default chatgpt is used as the llm and you need to configure the open ai key in env properties open ai key sk xxx if you don t deploy stable diffusion service no image will be generated sd proxy url 127 0 0 1 7860 if you don t deploy text2video service no videos will be generated t2v proxy url 127 0 0 1 7861 more details see file env template generated demos what is db gpt docs example what is dbgpt md travel to chengdu docs example travel to chengdu md jingnu teaching design docs example jingnu teaching design md | llms multi-agents operation | ai |
CodeLabs-IoTDev | build 2016 iot code labs module 1 this is an introduction to windows 10 iot core on the raspberry pi 3 module 1 windows 10 iot core module1 introwindows10iotcore module 2 and module 3 these two labs introduce microsoft azure iot features including iot hub module 2 does not require any device module 3 uses a raspberry pi 3 and a ghi fez hat other than client hardware the two labs cover the same material module 2 azure iot no device module2 introazureiot nodevice module 3 azure iot windows 10 iot core with raspberry pi 3 module3 introazureiot windowsiotcore module 4 this is an open hack which runs concurrently with other labs we have a ton of devices in the room as well as reference material for most of them module 4 open hack module4 openhack | server |
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getting-started | getting started with azure rtos and azure iot https github com azure rtos getting started workflows markdown 20links badge svg the getting started guides will help you get started with azure rtos each guide will step through from toolchain installation to connecting the device to azure iot using iot plug and play for more information on azure iot device development azure iot device development documentation https docs microsoft com azure iot develop get started with azure iot device development for product issues bugs or feature requests please use our github issues pages for the dedicated middleware e g for threadx https github com azure rtos threadx issues azure rtos q a https aka ms qna azure rtos ask a question getting started guides the following guides will get you started device build status microchip atsame54 xpro microchip atsame54 xpro https github com azure rtos getting started actions workflows atsame54 xpro yml badge svg mxchip az3166 mxchip az3166 https github com azure rtos getting started actions workflows az3166 yml badge svg nxp mimxrt1050 evkb nxp mimxrt1050 evkb https github com azure rtos getting started workflows mimxrt1050 evkb badge svg nxp mimxrt1060 evk nxp mimxrt1060 evk https github com azure rtos getting started actions workflows mimxrt1060 evk yml badge svg renesas ae cloud2 renesas synergy renesas rx65n cloud kit renesas rx65n cloud kit https github com azure rtos getting started actions workflows rx65n cloud kit yml badge svg renesas rsk rx65n 2mb renesas rsk rx65n 2mb https github com azure rtos getting started actions workflows rsk rx65n 2mb yml badge svg silicon labs efr32mg12 siliconlabs efr32mg12 https github com azure rtos getting started actions workflows efr32mg12 yml badge svg stmicroelectronics b l475e iot01a stmicroelectronics b l475e iot01a https github com azure rtos getting started actions workflows l475e iot01a yml badge svg stmicroelectronics b l4s5i iot01a stmicroelectronics b l4s5i iot01a https github com azure rtos getting started actions workflows l4s5i iot01a yml badge svg stmicroelectronics b u585i iot02a stmicroelectronics b u585i iot02a https github com azure rtos getting started actions workflows u585i iot02a yml badge svg build status a github workflow building on windows linux device plug and play models the plug and play models associated with these guides can be found in the shared model shared model directory contributing for details on contributing to this repository see the contributing contributing md guide reporting security vulnerabilities if you believe you have found a security vulnerability in any microsoft owned repository that meets microsoft s definition of a security vulnerability please report it to the microsoft security response center security md license the azure rtos getting started guides are licensed under the mit license txt license | azure-rtos azure-iot iot-device iot mcu microcontroller iot-hub | os |
awesome-nlp-references | introduction this is a curated list of resources dedicated to knowledge distillation recommendation system especially natural language processing nlp the goal of this repository is not only storing the references personally but also sharing with people outside reference retrieval dense passage retrieval for open domain question answering https arxiv org abs 2004 04906 language model introducing mass a pre training method that outperforms bert and gpt in sequence to sequence language generation tasks https www microsoft com en us research blog introducing mass a pre training method that outperforms bert and gpt in sequence to sequence language generation tasks a new model and dataset for long range memory https deepmind com blog article a new model and dataset for long range memory fbclid iwar2xgjvqzgx90 s1y6e7cwr4bmabssspdn6rks7bun2xuy3qnopdf211bnc visual paper summary albert a lite bert https amitness com 2020 02 albert visual summary reformer pytorch https github com lucidrains reformer pytorch implementation in pytorch fixed encoder self attention patterns in transformer based machine translation https arxiv org abs 2002 10260 fbclid iwar3pr2suebe3l4erze8dr1x9lppncrc2azuneqz5y8b4sargpqbeo76shc0 a primer in bertology what we know about how bert works https arxiv org pdf 2002 12327 pdf electra pre training text encoders as discriminators rather than generators https github com google research electra universal transformer https arxiv org pdf 1807 03819 pdf contextualized non local neural networks for sequence learning https arxiv org abs 1811 08600 an efficient framework for learning sentence representations https arxiv org abs 1803 02893 deebert dynamic early exiting for accelerating bert inference https arxiv org pdf 2004 12993 pdf implementation in pytorch https github com castorini deebert a generative model for joint natural language understanding and generation https arxiv org pdf 2006 07499 pdf conversational agents towards a human like open domain chatbot https arxiv org abs 2001 09977 fbclid iwar1 8qi3mns8i8q3yliajkthejjjmwdawrlirc7a464mxsmjoejdhxpgs9s explaination in korean by pingpong team https blog pingpong us meena presentation fbclid iwar3epnb8noqqcuqfxajzlfgf fhssxv fuvcd0yu78kolb93fi7kdmm51kg self supervised dialogue learning https arxiv org pdf 1907 00448 pdf sequential attention based network for noetic end to end response selection https arxiv org abs 1901 02609 neural text generation from rich semantic representations https arxiv org abs 1904 11564 pretraining methods for dialog context representation learning https arxiv org pdf 1906 00414 pdf deep generative models with learnable knowledge constraints http papers nips cc paper 8250 deep generative models with learnable knowledge constraints pre processing a deep dive into the wonderful world of preprocessing in nlp https mlexplained com 2019 11 06 a deep dive into the wonderful world of preprocessing in nlp graph neural network graph neural networks models and applications http cse msu edu mayao4 tutorials aaai2020 fbclid iwar285umlv8mq1pwsiyyp233m khtuekzjork2uyjqeh2yili9zw9mxlhbjs generating logical forms from graph representations of text and entities https arxiv org pdf 1905 08407 pdf k bert enabling language representation with knowledge graph https www aaai org papers aaai 2020gb aaai liuw 5594 pdf fbclid iwar1u02u0req up 9upnt ujkgx6ueidmnynqooluxswk7acoyjpd59xf6wq recommendation system learning and reasoning on graph for recommendation https next nus github io natural language recommendations a novel research paper search engine developed entirely with embedding and transformer models https github com santosh gupta naturallanguagerecommendations knowledge distillation distilling transformers into simple neural networks with unlabeled transfer data https arxiv org abs 1910 01769 attentive student meets multi task teacher improved knowledge distillation for pretrained models https arxiv org pdf 1911 03588 pdf robust language representation learning via multi task knowledge distillation https www microsoft com en us research blog robust language representation learning via multi task knowledge distillation understanding knowledge distillation in neural sequence generation https www microsoft com en us research video understanding knowledge distillation in neural sequence generation distilling task specific knowledge from bert into simple neural networks https arxiv org abs 1903 12136 meta learning from zero to research an introduction to meta learning https medium com huggingface from zero to research an introduction to meta learning 8e16e677f78a named entity recognition named entity recognition as dependency parsing https arxiv org pdf 2005 07150 pdf implementation github https github com amir zeldes biaffine ner metric learning metric learning for dynamic text classification https www aclweb org anthology d19 6116 ruber an unsupervised method for automatic evaluation of open domain dialog systems https arxiv org abs 1701 03079 better automatic evaluation of open domain dialogue systems with contextualized embeddings https arxiv org abs 1904 10635 matching natural language sentences with hierarchical sentence factorization https arxiv org abs 1803 00179 instance cross entropy for deep metric learning https arxiv org abs 1911 09976 matching embeddings for domain adaptation https arxiv org abs 1909 11651 deep metric learning using similarities from nonlinear rank approximations https arxiv org abs 1909 09427 keyword attentive deep semantic matching https arxiv org abs 2003 11516 bertscore evaluating text generation with bert https arxiv org abs 1904 09675 sampling matters an empirical study of negative sampling strategies for learning of matching models in retrieval based dialogue systems https www aclweb org anthology d19 1128 pdf fbclid iwar3cnvcmrmf2cwa5lxwx5azlysgtinzla49sbgjzojukm9ifrtoh3yqvnwy data argumentation bi decoder augmented network for neural machine translation https arxiv org pdf 2001 04586 pdf sequence labeling low resource sequence labeling via unsupervised multilingual contextualized representations https arxiv org abs 1910 10893 keyphrase extraction generation title guided encoding for keyphrase generation https arxiv org pdf 1808 08575 pdf relation extraction zero shot entity linking with dense entity retrieval https arxiv org pdf 1911 03814 pdf fbclid iwar3z8 1qesoj6h8k3r6q5snsn80alhrenumeoyasdfqfwqels0bzc9qmnme machine translation domain specialization a post training domain adaptation for neural machine translation https arxiv org pdf 1612 06141 pdf evaluation metric guiding extractive summarization with question answering rewards https www aclweb org anthology n19 1264 pdf tutorial pytorch seq2seq tutorial https github com bentrevett pytorch seq2seq learn nlp with me information extraction relations introduction https ryanong co uk 2020 02 21 day 52 learn nlp with me information extraction relations introduction stanford cs224n http web stanford edu class cs224n fast ai course nlp https github com fastai course nlp daniel jurafsky and james h martin speech and language processing 3rd edition draft 2019 https web stanford edu jurafsky slp3 hands on machine learning https github com ageron handson ml2 fbclid iwar1wilnc9h2p9yfnwvgrnple4i7xsyj0o0apgvji5zdb2agobajua434qhg tool open knowledge embedding https github com thunlp openke contributors i am waiting for people who wants to contribute to this document if you know good papers tutorial whatsoever please pull request judepark96 https github com judepark96 | nlp-references knowledge-distillation nlp nlp-resources deep-learning machine-learning natural-language-processing awesome-nlp awesome-list tutorial resources-dedicated neural-networks | ai |
ESAL_ModuleDesign | esal moduledesign this is a quiz for embedded systems and lab prereqs proficiency with git github view supplementary lecture on forking steps fork a copy of the repository to your personal github account work only in the appropriate branch for your class or you will not receive credit working with your group create the code described by the instructor only insert code in the designated group location in each file edit commit and push your code to your personal repo when completed initiate a pull request to the instructors repo | os |
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ESD-Lab3 | esd lab3 embedded systems design course lab3 | os |
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Computational-Social-Science-Training-Program | computational social science labs this repo contains all of the materials for sociology 273 computational social science parts a b designed as part of berkeley s computational social science training program https bids berkeley edu research computational social science training program text the 20uc 20berkeley 20computational 20social 2c 20social 20welfare 2c 20and 20sociology this course is a rigorous yearlong introduction to computational social science the target audience is 2nd year and beyond phd students who have completed their home departments introductory statistics courses we cover topics spanning reproducibility and collaboration machine learning natural language processing and causal inference this course has a strong applied focus with emphasis placed on doing computational social science it makes extensive use of simulations functional programming and visualizations to illustrate statistical concepts and demonstrate how computational social science is a framework to think about how to analyze big data by the end of the course students will be well acquainted with some of the latest research and advanced in computational social science research and begin working on their own projects most modules contains both a student version and a solutions version these are substantially the same with the difference being that the student versions leave some code lines partially blank for in class challenges each project is designed for groups of 3 4 students who use github to collaborate and version control code several popular data science libraries are used frequently including sklearn numpy pandas spacy gensim tidyverse tidymodels and superlearner for the most part the latest versions for any of these libraries should work with exceptions noted in the notebooks as necessary if you cannot get materials to work locally you may use datahub this allows you to run the materials in an instance on uc berkeley s servers no installation is needed from your end you only need an internet browser and a calnet id to log in by using the datahub you can save your work and come back to it at any time note some users may have to click the link twice if the materials do not load initially d lab datahub https img shields io badge launch d lab 20datahub blue https dlab datahub berkeley edu hub user redirect git pull repo https 3a 2f 2fgithub com 2fdlab berkeley 2fcomputational social science training program urlpath lab 2ftree 2fcomputational social science training program 2f table of contents 0 setup anaconda installation https github com dlab berkeley computational social science training program blob master reproducible 20data 20science anaconda 20installation 20guide ipynb 1 installation and reproducible data science https github com dlab berkeley computational social science training program tree master 1 20installation 20and 20reproducible 20data 20science 1 1 anaconda installation https github com dlab berkeley computational social science training program blob master 1 20installation 20and 20reproducible 20data 20science 1 1 20anaconda 20installation ipynb 1 2 command line intro https github com dlab berkeley computational social science training program blob master 1 20installation 20and 20reproducible 20data 20science 1 2 20command 20line 20intro md introduction to use a command line interface cli to interact with a computer basics of navigating file directory text editing and running shell python scripts 1 3 github intro https github com dlab berkeley computational social science training program blob master 1 20installation 20and 20reproducible 20data 20science 1 3 20github 20intro md introduction to git version control and github best practices for using version control to track code changes collaborate with others without running into conflicts and using github to showcase portfolio and find open source software code 1 4 statistics refresher https github com dlab berkeley computational social science training program blob master 1 20installation 20and 20reproducible 20data 20science 1 4 20statistics 20refresher 20 5bstudents 5d ipynb project 1 use command line and github to create a group repo and practice with version control and branching create a personal website using github pages 2 introduction to machine learning https github com dlab berkeley computational social science training program tree master 2 20introduction 20to 20machine 20learning 2 1 math review https github com dlab berkeley computational social science training program tree master 2 20introduction 20to 20machine 20learning 2 1 20math 20review matrix multiplication derivatives integrals numpy scipy 2 2 data splitting and bias variance tradeoff https github com dlab berkeley computational social science training program tree master 2 20introduction 20to 20machine 20learning 2 2 20data 20splitting 20and 20bias variance 20tradeoff introduction to train validation test splits and cross validation for machine learning bias variance tradeoff confusion matrices 2 3 regression https github com dlab berkeley computational social science training program tree master 2 20introduction 20to 20machine 20learning 2 3 20regression ordinary least squares regularization via ridge lasso coefficient plots hyperparameter tuning project 2 https github com dlab berkeley computational social science training program tree master projects project 202 predict county level diabetes rates exploratory data analysis data cleaning and preparation hyperparameter tuning feature selection model validation 3 supervised machine learning https github com dlab berkeley computational social science training program tree master 3 20supervised 20machine 20learning 3 1 classification https github com dlab berkeley computational social science training program tree master 3 20supervised 20machine 20learning 3 1 20classification imbalanced class labels logistic regression decision tree classifier support vector machine hyperparameter tuning metrics accuracy recall precision auc roc 3 2 trees https github com dlab berkeley computational social science training program tree main 3 20supervised 20machine 20learning 3 2 20trees decision tree variable importance 3 3 ensembles https github com dlab berkeley computational social science training program tree main 3 20supervised 20machine 20learning 3 20 3 20ensembles random forest adaboost xgboost ensemble learning beyond trees variable importance plot 3 4 bart https github com dlab berkeley computational social science training program tree main 3 20supervised 20machine 20learning 3 4 20bart bart partial dependence plots 3 5 neural networks https github com dlab berkeley computational social science training program tree master 3 20supervised 20machine 20learning 3 3 20neural 20networks multi layer perceptron keras tensorflow convolutional neural network project 3 https github com dlab berkeley computational social science training program tree master projects project 203 predict health code violations in chicago restaurants data preprocessing classification models interpretable and explainable machine learning prediction policy problems 4 unsupervised machine learning and tpot https github com dlab berkeley computational social science training program tree master 4 20unsupervised 20machine 20learning 20and 20tpot 4 1 clustering and pca https github com dlab berkeley computational social science training program tree master 4 20unsupervised 20machine 20learning 20and 20tpot 4 1 20clustering 20and 20pca principal components analysis clustering k means spectral etc unsupervised learning outputs as inputs to supervised learning 4 2 tpot https github com dlab berkeley computational social science training program tree master 4 20unsupervised 20machine 20learning 20and 20tpot 4 2 20tpot tpot genetic programming to automatically search for machine learning pipeline for preprocessing unsupervised learning and classification regression project 4 https github com dlab berkeley computational social science training program tree master projects project 204 unsupervised learning and neural network classification on national health and nutrition examination survey nhanes difference between dimensionality reduction and clustering combining dimensionality reduction and clustering deep learning with one hidden layer 5 natural language processing https github com dlab berkeley computational social science training program tree master 5 20natural 20language 20processing 5 1 text preprocessing https github com dlab berkeley computational social science training program tree master 5 20natural 20language 20processing 5 1 20text 20preprocessing tokenization stop words entity recognition lemmatization bag of words term frequency inverse document frequency naive bayes spacy 5 2 exploratory data analysis and unsupervised methods https github com dlab berkeley computational social science training program tree master 5 20natural 20language 20processing 5 2 20exploratory 20and 20unsupervised 20methods word clouds sentiment polarity topic modeling 5 3 text feature engineering and classification https github com dlab berkeley computational social science training program tree master 5 20natural 20language 20processing 5 3 20text 20feature 20engineering 20and 20classification n grams word counts topic model proportions as input to classification combining text and non text features 5 4 word2vec https github com dlab berkeley computational social science training program tree master 5 20natural 20language 20processing 5 4 20word2vec word embeddings t sne doc2vec document average word embeddings pre trained embeddings using gensim 5 5 neural nets for nlp https github com dlab berkeley computational social science training program tree master 5 20natural 20language 20processing 5 5 20neural 20nets 20for 20nlp project 5 https github com dlab berkeley computational social science training program tree master projects project 205 investigate asymmetric polarization and moderation extremism in u s congress tweets text preprocessing exploratory data analysis text feature engineering classification 6 causal inference https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 1 r refresher https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 1 20r 20refresher introduction to r dplyr tidyr ggplot purrr 6 2 randomized experiments https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 2 20randomized 20experiments average treatment effect ate individual level treatment effect ite average treatment effect on the treated att heterogenous treatment effects randomization designs completely cluster block statistical tests of difference 6 3 matching methods https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 3 20matching 20methods propensity score matching full optimal greedy matching mahalanobis distance double robust estimators project 6 https github com dlab berkeley computational social science training program tree master projects project 206 replicate studies examining effect of college attendance on political participation preprocessing matching after randomized study to improve covariate balance simulations to examine different matching configurations effect on ate estimates 6 4 regression discontinuity https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 4 20regression 20discontinuity regression discontinuity running variable mccrary density test sharp discontinuity bandwidth selection via imbens kalyanaraman and cross validation 6 5 instrumental variables https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 5 20instrumental 20variables directed acyclic graphs dags exclusion restriction colliders two stage least squares 2sls 6 6 diff in diffs and synthetic control https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 6 20diff 20in 20diffs 20and 20synthetic 20control difference in differences method parallel trends assumption synthetic control augmented synthetic control with ridge regularization staggered adoption synthetic control project 7 https github com dlab berkeley computational social science training program tree master projects project 207 diff in diffs and synthetic control to analyze the effect of affordable care act aca medicaid expansion among adoptees over time 6 7 sensitivity analysis https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 7 20sensitivity 20analysis manski bounds rosenbaum sensitivity analysis e values 6 8 superlearner and longitudinal targeted maximum likelihood estimation ltmle https github com dlab berkeley computational social science training program tree master 6 20causal 20inference 6 8 20superlearner 20and 20ltmle ensemble machine learning for causal inference parallelization in r targeted learning double robust estimators time dependent confounding project 8 https github com dlab berkeley computational social science training program tree master projects project 208 effect of blood pressure medication on heart disease using superlearner tmle and ltmle | ai |
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IoTGateway | iotgateway iotgateway is a c implementation of an iot gateway it is self contained and includes all libraries and frameworks it needs to operate you can install it by using the following iot gateway setup application executables iotgatewaysetup exe raw true example applications also include binary downloads apart from the iot gateway iot gateway projects the solution is divided into different groups of projects and modules clients clients content content events events layout layout mocks mocks networking networking persistence persistence runtime runtime script script security security services services themes themes things things utilities utilities web services webservices license you should carefully read the following terms and conditions before using this software your use of this software indicates your acceptance of this license agreement and warranty if you do not agree with the terms of this license or if the terms of this license contradict with your local laws you must remove any files from the iot gateway from your storage devices and cease to use it the terms of this license are subjects of changes in future versions of the iot gateway you may not use copy emulate clone rent lease sell modify decompile disassemble otherwise reverse engineer or transfer the licensed program or any subset of the licensed program except as provided for in this agreement any such unauthorised use shall result in immediate and automatic termination of this license and may result in criminal and or civil prosecution the source code https github com peterwaher iotgateway and libraries provided in this repository is provided open for the following uses for personal evaluation personal evaluation means evaluating the code its libraries and underlying technologies including learning about underlying technologies for academic use if you want to use the following code for academic use all you need to do is to inform the author of who you are what academic institution you work for or study for and in what projects you intend to use the code all that is asked in return is for an acknowledgement and visible attribution to this repository including a link and that you do not redistribute the source code or parts thereof in the solutions you develop if any solutions developed in an academic setting become commercial it will need a commercial license for security analysis if you perform any security analysis on the code to see what security aspects the code might have all that is asked of you is that you inform the author of any findings at least forty five days before publication of the findings so that any vulnerabilities might be addressed such contributions are much appreciated and will be acknowledged commercial use of the code in part or in full in compiled binary form or its source code requires a commercial license contact the author for details note distribution of code in source or compiled form for purposes other than mentioned above is not considered personal use and requires a commercial license even if distribution is made under an apparently free license it facilitates the development of competing software without the investment in actually performing the corresponding coding it also can make the use of the original libraries obsolete as free code apparently doing the same based on the original libraries would be available under an apparently free license thus making distribution free does not mitigate this effect developers using the libraries to enhance their own projects brands offerings or businesses even if the software itself is free should therefore consider sponsoring the development of such software it is the express intent of the developer of these libraries to create libraries that facilitate the development of great software for iot also the commercial license includes options to request customizations of the libraries all rights to the source code are reserved and exclusively owned by waher data ab http waher se any contributions made to the iot gateway repository become the intellectual property of waher data ab http waher se if you re interested in using the source code as a whole or in part you need a license agreement with the author you can contact him through linkedin http waher se this software is provided by the copyright holder and contributors as is and any express or implied warranties including but not limited to the implied warranties of merchantability and fitness for a particular purpose are disclaimed in no event shall the copyright owner or contributors be liable for any direct indirect incidental special exemplary or consequential damages including but not limited to procurement of substitute goods or services loss of use data or profits or business interruption however caused and on any theory of liability whether in contract strict liability or tort including negligence or otherwise arising in any way out of the use of this software even if advised of the possibility of such damage the iot gateway is copy waher data ab http waher se 2016 2023 all rights reserved images logo waherdataab 300x58 png http waher se mastering internet of things many of the libraries available in this repository contains are described and explained in the book mastering internet of things by peter waher you can find the book on packt https www packtpub com networking and servers mastering internet things amazon https www amazon com mastering internet things peter waher dp 1788397487 bokus https www bokus com bok 9781788397483 mastering internet of things and other stores mastering internet of things book cover images cover png the examples described in this book are available in a separate repository miot https github com peterwaher miot iot gateway the iot gateway is represented by the following set of projects they are back end server applications and perform communiction with devices as well as host online content you can install it by using the following iot gateway setup application executables iotgatewaysetup exe raw true project type link project description waher iotclient setup wix installer executables iotclientsetup exe raw true the waher iotclient setup waher iotclient setup project creates a windows setup application that bootstraps several bundles into one setup application apart from installing the iot client it also installs any prerequisites such as the correct net framework it is based on in wix framework https www firegiant com wix waher iotclient win32 wix installer executables waher iotclient win32 msi raw true the waher iotclient win32 waher iotclient win32 project creates a windows msi package that installs the windows 32 bit files for the iot client project is based on in wix framework https www firegiant com wix waher iotgateway net std 2 0 nuget https www nuget org packages waher iotgateway the waher iotgateway waher iotgateway project is a class library that defines the iot gateway the gateway can host any web content it converts markdown to html in real time it can be administrated over xmpp using the waher client wpf clients waher client wpf application waher iotgateway app uwp app bundle package executables waher iotgateway app x86 x64 arm appxbundle raw true the waher iotgateway app waher iotgateway app project is a universal windows platform application version of the iot gateway it can be installed on iot devices running windows 10 iot waher iotgateway build net core 3 1 the waher iotgateway build waher iotgateway build project contains msbuild script for building setup files can be used in an auto build environment waher iotgateway console net core 3 1 installer executables iotgatewaysetup exe raw true the waher iotgateway console waher iotgateway console project is a console application version of the iot gateway it s easy to use and experiment with waher iotgateway installers net 4 6 2 the waher iotgateway installers waher iotgateway installers project defines custom actions used by the setup application to install the iot gateway and dependencies propertly waher iotgateway resources net std 1 0 the waher iotgateway resources waher iotgateway resources project contains resource files that are common to all iot gateway embodiments waher iotgateway setup wix installer executables iotgatewaysetup exe raw true the waher iotgateway setup waher iotgateway setup project creates a windows setup application that bootstraps several bundles into one setup application apart from installing the iot gateway it also installs any prerequisites such as the correct net framework it is based on in wix framework https www firegiant com wix waher iotgateway svc net core 3 1 installer executables iotgatewaysetup exe raw true the waher iotgateway svc waher iotgateway svc project is a windows service version version of the iot gateway waher iotgateway win32 wix installer executables waher iotgateway win32 msi raw true the waher iotgateway win32 waher iotgateway win32 project creates a windows msi package that installs the windows 32 bit files for the iot gateway project is based on in wix framework https www firegiant com wix clients the clients clients folder contains projects starting with waher client and denote client projects clients are front end applications that can be run by users to perform different types of interaction with things or the network project type link project description waher client wpf net 4 6 2 installer executables iotclientsetup exe raw true the waher client wpf clients waher client wpf project is a simple iot client that allows you to interact with things and users if you connect to the network you can chat with users and things the client gui is built using windows presentation foundation wpf chat sessions support normal plain text content and rich content based on markdown waher client mqtteventviewer net 4 6 2 executable executables waher client mqtteventviewer raw true the waher client mqtteventviewer clients client mqtteventviewer project defines a simple wpf client application that subscribes to an mqtt topic and displays any events it receivs events are parsed as xml fragments according to the schema defined in xep 0337 http xmpp org extensions xep 0337 html content the content content folder contains libraries that handle internet content including parsing and rendering using their corresponding internet content type encodings and decodings project type link project description waher content net std 1 3 nuget https www nuget org packages waher content the waher content content waher content project is a class library that provides basic abstraction for internet content type and basic encodings and decodings this includes handling and parsing of common data types waher content asn1 net std 1 3 nuget https www nuget org packages waher content asn1 the waher content asn1 content waher content asn1 project implements a simple asn 1 abstract syntax notation one parser the library supports generation of c code from asn 1 schemas encoding decoding schemes supported ber cer der waher content dsn net std 1 3 nuget https www nuget org packages waher content dsn the waher content dsn content waher content dsn project provides encoding and decoding of delivery status notification dsn messages and message reports as defined in rfc 3462 and 3464 waher content emoji net std 1 3 nuget https www nuget org packages waher content emoji the waher content emoji content waher content emoji project contains utilities for working with emojis waher content emoji emoji1 net std 1 3 nuget https www nuget org packages waher content emoji emoji1 the waher content emoji emoji1 content waher content emoji emoji1 project provide free emojis from emoji one http emojione com to content applications waher content html net std 1 3 nuget https www nuget org packages waher content html the waher content html content waher content html project provides a simple html document parser that can be used to extract information from web pages social meta data can be easily extracted from page information is taken from open graph meta data or twitter card meta data as well as standard html meta data waher content images net std 1 3 nuget https www nuget org packages waher content images the waher content images content waher content images project contains encoders and decoders for images it uses skiasharp https www nuget org packages skiasharp for cross platform 2d graphics manipulation contains extraction of exif meta data from images waher content markdown net std 1 3 nuget https www nuget org packages waher content markdown the waher content markdown content waher content markdown project can be used to parse markdown documents and transforms them to other formats such as html plain text and xaml for a description of the markdown flavour supported by the parser see markdown documentation https waher se markdown md the library can also compare markdown documents and provide markdown based difference documents showing how one version of a document is edited to produce a second version reference https waher se markdown md waher content markdown consolidation net std 1 3 nuget https www nuget org packages waher content markdown consolidation the waher content markdown consolidation content waher content markdown consolidation project helps clients working with markdown defined with the markdown engine in waher content markdown content waher content markdown to consolidate markdown content originating from multiple sources generating composite documents for more intuitive presentation waher content markdown graphviz net std 2 0 nuget https www nuget org packages waher content markdown graphviz the waher content markdown graphviz content waher content markdown graphviz project extends the capabilities of the markdown engine defined in waher content markdown content waher content markdown it allows for real time inclusion and generation of graphviz http graphviz org diagrams if the software is installed on the system markdown documentation https waher se markdown md graphvizdiagrams waher content markdown layout2d net std 1 3 nuget https www nuget org packages waher content markdown layout2d the waher content markdown layout2d content waher content markdown layout2d project extends the capabilities of the markdown engine defined in waher content markdown content waher content markdown it allows for real time inclusion and generation of waher layout layout2d layout waher layout layout2d diagrams markdown documentation https waher se markdown md 2dlayoutdiagrams waher content markdown plantuml net std 2 0 nuget https www nuget org packages waher content markdown plantuml the waher content markdown plantuml content waher content markdown plantuml project extends the capabilities of the markdown engine defined in waher content markdown content waher content markdown it allows for real time inclusion and generation of plantuml https plantuml com diagrams if the software is installed on the system markdown documentation https waher se markdown md umlwithplantuml waher content markdown systemfiles net std 2 0 nuget https www nuget org packages waher content markdown systemfiles the waher content markdown systemfiles content waher content markdown systemfiles project helps modules to find files and applications installed on the system for integration purposes waher content markdown web net std 1 3 nuget https www nuget org packages waher content markdown web the waher content markdown web content waher content markdown web project allows the publishing of web content using markdown the library converts markdown documents in real time to html when hosted using the web server defined in waher networking http content waher networking http waher content markdown web uwp net std 1 3 nuget https www nuget org packages waher content markdown web uwp the waher content markdown web uwp content waher content markdown web uwp project allows the publishing of web content using markdown the library converts markdown documents in real time to html when hosted using the web server defined in waher networking http uwp content waher networking http uwp waher content qr net std 1 3 nuget https www nuget org packages waher content qr the waher content qr content waher content qr contains a light weight managed encoder of qr codes it can generate both text based output using block characters for display on text devices as well as images and color coded codes waher content semantic net std 1 3 nuget https www nuget org packages waher content semantic the waher content semantic content waher content semantic contains encoders and decoders of semantic information using well known formats defined by the w3c for the semantic web such as turtle rdf xml and sparql results library also contains abstraction layer and extensiblea architecture for literals as well as interfaces for semantic cubes for procedural access of semantic information waher content systemfiles net std 2 0 nuget https www nuget org packages waher content systemfiles the waher content systemfiles content waher content systemfiles helps modules to find files and applications installed on the system for integration purposes waher content xml net std 1 3 nuget https www nuget org packages waher content xml the waher content xml content waher content xml project helps with encoding and decoding of xml it integrates with the architecture defined in waher content content waher content waher content xsl net std 2 0 nuget https www nuget org packages waher content xsl the waher content xsl content waher content xsl project helps with validating and transforming xml documents it integrates with the architecture defined in waher content content waher content the folder also contains the following unit test projects project type project description waher content asn1 test net core 3 1 the waher content asn1 test content waher content asn1 test project contains unit tests for the waher content asn1 project waher content html test net core 3 1 the waher content html test content waher content html test project contains unit tests for the waher content html project waher content images test net core 3 1 the waher content images test content waher content images test project contains unit tests for the waher content images project waher content markdown test net core 3 1 the waher content markdown test content waher content markdown test project contains unit tests for the waher content markdown project waher content qr test net core 3 1 the waher content qr test content waher content qr test project contains unit tests for the waher content qr project waher content semantic test net 6 0 the waher content semantic test content waher content semantic test project contains unit tests for the waher content semantic project waher content test net core 3 1 the waher content test content waher content test project contains unit tests for the waher content project events the events events folder contains libraries that manage different aspects of event logging in networks project type link project description waher events net std 1 3 nuget https www nuget org packages waher events the waher events events waher events project provides the basic architecture and framework for event logging in applications it uses the static class log as a hub for all type of event logging in applications to this hub you can register any number of event sinks that receive events and distribute them according to implementation details in each one by logging all events to log you have a configurable environment where you can change logging according to specific needs of the project waher events console net std 1 3 nuget https www nuget org packages waher events console the waher events console events waher events console project provides a simple event sink that outputs events to the console standard output useful if creating simple console applications waher events documentation xml the waher events documentation events waher events documentation project contains documentation of specific important events this documentation includes event ids and any parameters they are supposed to include waher events files net std 1 3 nuget https www nuget org packages waher events files the waher events files events waher events files project defines event sinks that outputs events to files supported formats are plain text and xml xml files can be transformed using xslt to other formats such as html waher events mqtt net std 1 3 nuget https www nuget org packages waher events mqtt the waher events mqtt events waher events mqtt project defines an event sink that sends events to an mqtt topic events are sent as xml fragments according to the schema defined in xep 0337 http xmpp org extensions xep 0337 html waher events mqtt uwp uwp nuget https www nuget org packages waher events mqtt uwp the waher events mqtt uwp events waher events mqtt uwp project provides a universal windows platform compatible version of the waher events mqtt library this library can be used to develop applications for windows 10 on for instance rasperry pi waher events persistence net std 1 3 nuget https www nuget org packages waher events persistence the waher events persistence events waher events persistence project creates an even sink that stores incoming logged events in the local object database as defined by waher persistence persistence waher persistence event life time in the database is defined in the constructor searches can be made for historical events waher events pipe net std 2 0 nuget https www nuget org packages waher events pipe the waher events pipe events waher events pipe project creates an even sink that sends incoming logged events to a pipe an event reader is also available making it easy to transport logged events from one process to another on the same machine waher events socket net std 1 3 nuget https www nuget org packages waher events socket the waher events socket events waher events socket project defines an event sink that sends events to a tcp listener socket events are sent as xml fragments waher events socket uwp uwp nuget https www nuget org packages waher events socket uwp the waher events socket uwp events waher events socket uwp project provides a universal windows platform compatible version of the waher events socket library this library can be used to develop applications for windows 10 on for instance rasperry pi waher events statistics net std 1 3 nuget https www nuget org packages waher events statistics the waher events statistics events waher events statistics project defines an event sink that computes statistics of events being logged waher events windowseventlog net std 1 3 nuget https www nuget org packages waher events windowseventlog the waher events windowseventlog events waher events windowseventlog project defines an event sink that logs events to a windows event log waher events xmpp net std 1 3 nuget https www nuget org packages waher events xmpp the waher events xmpp events waher events xmpp project defines an event sink that distributes events over xmpp according to xep 0337 http xmpp org extensions xep 0337 html waher events xmpp uwp uwp nuget https www nuget org packages waher events xmpp uwp the waher events xmpp uwp events waher events xmpp uwp project provides a reduced universal windows platform compatible version of the waher events xmpp library this library can be used to develop applications for windows 10 on for instance rasperry pi the folder also contains the following unit test projects project type project description waher events pipe test net 6 the waher events pipe test events waher events pipe test project contains unit tests for the waher events pipe project waher events socket test net 6 the waher events socket test events waher events socket test project contains unit tests for the waher events socket project layout the layout layout folder contains libraries for laying out objects visually project type link project description waher layout layout2d net std 1 3 nuget https www nuget org packages waher layout layout2d the waher layout layout2d layout waher layout layout2d project provides an object model for laying out graphical objects in two dimensions these models can then be used to generate images the models can be represented in xml and contains an xml schema that can be used to validate documents as well as provide support when editing layout documents the folder also contains the following unit test projects project type project description waher layout layout2d test net core 3 1 the waher layout layout2d test layout waher layout layout2d test project contains unit tests for the waher layout layout2d project mocks the mocks mocks folder contains projects that implement different mock devices these can be used as development tools to test technologies implementation networks and tools project type link project description waher mock net std 2 0 nuget https www nuget org packages waher mock the waher mock mocks waher mock project is a class library that provides support for simple mock applications this includes simple network configuration waher mock lamp net 4 6 2 the waher mock lamp mocks waher mock lamp project simulates a simple lamp switch with an xmpp interface waher mock lamp uwp uwp the waher mock lamp uwp mocks waher mock lamp uwp project provides a universal windows platform compatible version of the waher mock lamp mock application this application can be run on windows 10 including on rasperry pi waher mock temperature net 4 6 2 the waher mock temperature mocks waher mock temperature project simulates a simple temperature sensor with an xmpp interface waher mock temperature uwp uwp the waher mock temperature uwp mocks waher mock temperature uwp project provides a universal windows platform compatible version of the waher mock temperature mock application this application can be run on windows 10 including on rasperry pi waher mock uwp uwp nuget https www nuget org packages waher mock uwp the waher mock uwp mocks waher mock uwp project provides a reduced universal windows platform compatible version of the waher mock library this library can be used to develop applications for windows 10 on for instance rasperry pi it is limited in that it does not provide a console dialog for editing connection parameters if none exist it does not include schema validation of xml configuration files either networking the networking networking folder contains libraries that manage different aspects of network communication project type link project description waher networking net std 1 3 nuget https www nuget org packages waher networking the waher networking networking waher networking project provides the basic architecture and tools for all networking libraries this includes sniffers etc as well as classes for building client and server applications waher networking cluster net std 1 3 nuget https www nuget org packages waher networking cluster the waher networking cluster networking waher networking cluster project provides a framework for building applications that can cooperate and solve problems in clusters communication between endpoints in clusters is performed using aes 256 encrypted datagrams over a predefined udp multicast channel only participants with access to the shared key can participate in the cluster supports unacknowledged acknowledged and assured message transfers in clusters as well as request response command executions locking of singleton resources serialization of objects etc waher networking cluster consolesandbox net core 3 1 the waher networking cluster consolesandbox networking waher networking cluster consolesandbox project provides a simple console application that allows you to interactively test the cluster protocol in the network waher networking coap net std 1 3 nuget https www nuget org packages waher networking coap the waher networking coap networking waher networking coap project provides a simple coap endpoint client with dtls support waher networking coap uwp uwp nuget https www nuget org packages waher networking coap uwp the waher networking coap uwp networking waher networking coap uwp project provides a universal windows platform compatible version of the waher networking coap library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking dns net std 1 3 nuget https www nuget org packages waher networking dns the waher networking dns networking waher networking dns project provides a class library for resolving dns host mailbox and service names on the network it also supports reverse address lookups international domain names idn dns black lists dnsbl text records and maintains a local resource record cache waher networking http net std 1 3 nuget https www nuget org packages waher networking http the waher networking http networking waher networking http project provides a simple http server for publishing dynamic content and managing user authentication based on a customizable set of users and privileges supports the websocket protocol waher networking http uwp uwp nuget https www nuget org packages waher networking http uwp the waher networking http uwp networking waher networking http uwp project provides a universal windows platform compatible version of the waher networking http library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking lwm2m net std 1 3 nuget https www nuget org packages waher networking lwm2m the waher networking lwm2m networking waher networking lwm2m project provides lwm2m interfaces for your application using the coap library defined in waher networking coap networking waher networking coap waher networking lwm2m uwp uwp nuget https www nuget org packages waher networking lwm2m uwp the waher networking lwm2m uwp networking waher networking lwm2m uwp project provides a universal windows platform compatible version of the waher networking lwm2m library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking modbus net std 1 3 nuget https www nuget org packages waher networking modbus the waher networking modbus networking waher networking modbus project provides a simple modbus client waher networking modbus uwp uwp nuget https www nuget org packages waher networking modbus uwp the waher networking modbus uwp networking waher networking modbus uwp project provides a universal windows platform compatible version of the waher networking modbus library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking mqtt net std 1 3 nuget https www nuget org packages waher networking mqtt the waher networking mqtt networking waher networking mqtt project provides a simple mqtt client waher networking mqtt uwp uwp nuget https www nuget org packages waher networking mqtt uwp the waher networking mqtt uwp networking waher networking mqtt uwp project provides a universal windows platform compatible version of the waher networking mqtt library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking peertopeer net std 1 3 nuget https www nuget org packages waher networking peertopeer the waher networking peertopeer networking waher networking peertopeer project provides tools for peer to peer and multi player communication waher networking sasl net std 2 0 nuget https www nuget org packages waher networking sasl the waher networking sasl networking waher networking sasl project implements simple authentication and security layer sasl mechanisms waher networking smtp net std 2 0 nuget https www nuget org packages waher networking smtp the waher networking smtp networking waher networking smtp project implements a simple e mail client based on the smtp protocol that can send formatted e mail messages with attachments waher networking upnp net std 1 3 nuget https www nuget org packages waher networking upnp the waher networking upnp networking waher networking upnp project provides tools for searching and interacting with devices in the local area network using the upnp protocol waher networking whois net std 1 3 nuget https www nuget org packages waher networking whois the waher networking whois networking waher networking whois project implements a whois https tools ietf org html rfc3912 client that can be used to query regional internet registries for information relating to ip addresses etc waher networking whois uwp uwp nuget https www nuget org packages waher networking whois uwp the waher networking whois uwp networking waher networking whois uwp project provides a universal windows platform compatible version of the waher networking whois library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp net std 1 3 nuget https www nuget org packages waher networking xmpp the waher networking xmpp networking waher networking xmpp project provides a simple xmpp client waher networking xmpp avatar net std 1 3 nuget https www nuget org packages waher networking xmpp avatar the waher networking xmpp avatar networking waher networking xmpp avatar project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on helps the client manage avatars waher networking xmpp avatar uwp uwp nuget https www nuget org packages waher networking xmpp avatar uwp the waher networking xmpp avatar uwp networking waher networking xmpp avatar uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp avatar library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp bosh net std 1 3 nuget https www nuget org packages waher networking xmpp bosh the waher networking xmpp bosh networking waher networking xmpp bosh project provides support for the http altenative binding based on bosh defined in xep 0124 http xmpp org extensions xep 0124 html and xep 0206 http xmpp org extensions xep 0206 html to the xmpp client defined in waher networking xmpp networking waher networking xmpp waher networking xmpp bosh uwp uwp nuget https www nuget org packages waher networking xmpp bosh uwp the waher networking xmpp bosh uwp networking waher networking xmpp bosh uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp bosh library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp chat net std 1 3 nuget https www nuget org packages waher networking xmpp chat the waher networking xmpp chat networking waher networking xmpp chat project provides a simple xmpp chat server bot for things that is added to the xmpp client defined in waher networking xmpp networking waher networking xmpp it supports markdown and follows the chat semantics outlined in this proto xep chat interface for internet of things devices http htmlpreview github io https github com joachimlindborg xmpp iot blob master xep 0000 iot chat html waher networking xmpp chat uwp uwp nuget https www nuget org packages waher networking xmpp chat uwp the waher networking xmpp chat uwp networking waher networking xmpp chat uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp chat library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp concentrator net std 1 3 nuget https www nuget org packages waher networking xmpp concentrator the waher networking xmpp concentrator networking waher networking xmpp concentrator project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client and server concentrator capabilities as defined in xep 0326 http xmpp org extensions xep 0326 html the concentrator interface allows a device to manage a set of internal virtual devices all sharing the same xmpp connection waher networking xmpp concentrator uwp uwp nuget https www nuget org packages waher networking xmpp concentrator uwp the waher networking xmpp concentrator uwp networking waher networking xmpp concentrator uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp concentrator library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp contracts net std 2 0 nuget https www nuget org packages waher networking xmpp contracts the waher networking xmpp contracts networking waher networking xmpp contracts project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client interfaces for managing legal identities smart contracts and signatures as defined in the ieee xmpp iot extensions https gitlab com ieee sa xmppi iot waher networking xmpp control net std 1 3 nuget https www nuget org packages waher networking xmpp control the waher networking xmpp control networking waher networking xmpp control project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client and server control capabilities as defined in the ieee xmpp iot extensions https gitlab com ieee sa xmppi iot waher networking xmpp control uwp uwp nuget https www nuget org packages waher networking xmpp control uwp the waher networking xmpp control uwp networking waher networking xmpp control uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp control library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp httpx net std 1 3 nuget https www nuget org packages waher networking xmpp httpx the waher networking xmpp httpx networking waher networking xmpp httpx project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client and server httpx support as defined in xep 0332 http xmpp org extensions xep 0332 html it also provides an http proxy for tunneling httpx content through an http s based web server hosted by waher networking http networking waher networking http waher networking xmpp interoperability net std 1 3 the waher networking xmpp interoperability networking waher networking xmpp interoperability project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client and server interoperability capabilities as defined in this proto xep internet of things interoperability http htmlpreview github io https github com joachimlindborg xmpp iot blob master xep 0000 iot interoperability html waher networking xmpp interoperability uwp uwp the waher networking xmpp interoperability uwp networking waher networking xmpp interoperability uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp interoperability library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp mail net std 1 3 nuget https www nuget org packages waher networking xmpp mail the waher networking xmpp mail https github com peterwaher iotgateway tree master networking waher networking xmpp mail project provides an add on to the xmpp client defined in waher networking xmpp https github com peterwaher iotgateway tree master networking waher networking xmpp this add on provides client support for mail extensions on xmpp servers waher networking xmpp muc net std 1 3 nuget https www nuget org packages waher networking xmpp muc the waher networking xmpp muc networking waher networking xmpp muc project adds support for the multi user chat muc extension xep 0045 to the xmpp client library defined in waher networking xmpp networking waher networking xmpp direct invitations xep 0249 and self ping xep 410 are also supported waher networking xmpp muc uwp uwp nuget https www nuget org packages waher networking xmpp muc uwp the waher networking xmpp muc uwp networking waher networking xmpp muc uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp muc library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp p2p net std 1 3 nuget https www nuget org packages waher networking xmpp p2p the waher networking xmpp p2p networking waher networking xmpp p2p project provides classes that help the application do servless xmpp peer to peer communication as defined in xep 0174 http xmpp org extensions xep 0174 html waher networking xmpp pep net std 1 3 nuget https www nuget org packages waher networking xmpp pep the waher networking xmpp pep networking waher networking xmpp pep project adds support for the personal eventing protocol extension xep 0163 to the xmpp client library defined in waher networking xmpp networking waher networking xmpp waher networking xmpp pep uwp uwp nuget https www nuget org packages waher networking xmpp pep uwp the waher networking xmpp pep uwp networking waher networking xmpp pep uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp pep library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp provisioning net std 1 3 nuget https www nuget org packages waher networking xmpp provisioning the waher networking xmpp provisioning networking waher networking xmpp provisioning project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client support for provisioning and delegation of trust as defined in the ieee xmpp iot extensions https gitlab com ieee sa xmppi iot waher networking xmpp provisioning uwp uwp nuget https www nuget org packages waher networking xmpp provisioning uwp the waher networking xmpp provisioning uwp networking waher networking xmpp provisioning uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp provisioning library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp pubsub net std 1 3 nuget https www nuget org packages waher networking xmpp pubsub the waher networking xmpp pubsub networking waher networking xmpp pubsub project adds support for the publish subscribe extension xep 0060 to the xmpp client library defined in waher networking xmpp networking waher networking xmpp waher networking xmpp pubsub uwp uwp nuget https www nuget org packages waher networking xmpp pubsub uwp the waher networking xmpp pubsub uwp networking waher networking xmpp pubsub uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp pubsub library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp push net std 1 3 nuget https www nuget org packages waher networking xmpp push the waher networking xmpp push networking waher networking xmpp push project adds client side support for push notification when the client is not connected over xmpp implemented for the xmpp client library defined in waher networking xmpp networking waher networking xmpp push notification provided by the tag neuron allows the client to forward different types of messages and contents into different notification channels as defined by mobile platforms when client is offline waher networking xmpp rdp net std 1 3 nuget https www nuget org packages waher networking xmpp rdp the waher networking xmpp rdp networking waher networking xmpp rdp project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client side support for remote desktop over xmpp waher networking xmpp sensor net std 1 3 nuget https www nuget org packages waher networking xmpp sensor the waher networking xmpp sensor networking waher networking xmpp sensor project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides client and server sensor capabilities as defined in the ieee xmpp iot extensions https gitlab com ieee sa xmppi iot waher networking xmpp sensor uwp uwp nuget https www nuget org packages waher networking xmpp sensor uwp the waher networking xmpp sensor uwp networking waher networking xmpp sensor uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp sensor library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp software net std 1 3 nuget https www nuget org packages waher networking xmpp software the waher networking xmpp software networking waher networking xmpp software project provides a client for managing and downloading software packages and software updates as defined in the ieee xmpp iot extensions https gitlab com ieee sa xmppi iot waher networking xmpp synchronization net std 1 3 nuget https www nuget org packages waher networking xmpp synchronization the waher networking xmpp synchronization networking waher networking xmpp synchronization project provides an add on to the xmpp client defined in waher networking xmpp networking waher networking xmpp this add on provides clock synchronization capabilities as defined in the ieee xmpp iot extensions https gitlab com ieee sa xmppi iot waher networking xmpp synchronization uwp uwp nuget https www nuget org packages waher networking xmpp synchronization uwp the waher networking xmpp synchronization uwp networking waher networking xmpp synchronization uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp synchronization library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp uwp uwp nuget https www nuget org packages waher networking xmpp uwp the waher networking xmpp uwp networking waher networking xmpp uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp library this library can be used to develop applications for windows 10 on for instance rasperry pi waher networking xmpp websocket net std 1 3 nuget https www nuget org packages waher networking xmpp websocket the waher networking xmpp websocket networking waher networking xmpp websocket project provides support for the websocket altenative binding based on bosh defined in rfc 7395 https tools ietf org html rfc7395 to the xmpp client defined in waher networking xmpp networking waher networking xmpp waher networking xmpp websocket uwp uwp nuget https www nuget org packages waher networking xmpp websocket uwp the waher networking xmpp websocket uwp networking waher networking xmpp websocket uwp project provides a reduced universal windows platform compatible version of the waher networking xmpp websocket library this library can be used to develop applications for windows 10 on for instance rasperry pi the folder also contains the following unit test projects project type project description waher networking cluster test net core 3 1 the waher networking cluster test networking waher networking cluster test project contains unit tests for the waher networking cluster networking waher networking cluster library waher networking coap test net core 3 1 the waher networking coap test networking waher networking coap test project contains unit tests for the waher networking coap networking waher networking coap library waher networking dns test net core 3 1 the waher networking dns test networking waher networking dns test project contains unit tests for the waher networking dns networking waher networking dns library waher networking http test net core 3 1 the waher networking http test networking waher networking http test project contains unit tests for the waher networking http networking waher networking http library waher networking modbus test net core 3 1 the waher networking modbus test networking waher networking modbus test project contains unit tests for the waher networking modbus networking waher networking modbus library waher networking mqtt test net core 3 1 the waher networking mqtt test networking waher networking mqtt test project contains unit tests for the waher networking mqtt networking waher networking mqtt library waher networking whois test net code 3 1 the waher networking whois test networking waher networking whois test project contains unit tests for the waher networking whois networking waher networking whois library waher networking xmpp test net core 3 1 the waher networking xmpp test networking waher networking xmpp test project contains unit tests for the waher networking xmpp networking waher networking xmpp library and add ons persistence the persistence persistence folder contains libraries that create an infrastructure for persistence of objects in applications this includes a simple embedded encrypted local object database as well as integration with external databases objects are persisted based on their annotated class definitions project type link project description waher persistence net std 1 3 nuget https www nuget org packages waher persistence the waher persistence persistence waher persistence project provides the central interfaces for interaction with object databases all modules can use the static database class to persist and find objects in the preconfigured object database waher persistence files net std 2 0 nuget https www nuget org packages waher persistence files the waher persistence files persistence waher persistence files project defines a library that provides an object database that stores objects in local aes 256 encrypted files storage indices searching and retrieval is based solely on meta data provided through the corresponding class definitions object serializers are created dynamically dynamic code is compiled access is provided through the waher persistence persistence waher persistence library waher persistence fileslw net std 1 3 nuget https www nuget org packages waher persistence fileslw the waher persistence fileslw persistence waher persistence fileslw project defines a library that provides an object database that stores objects in local files storage indices searching and retrieval is based solely on meta data provided through the corresponding class definitions object serializers are created dynamically access is provided through the waher persistence persistence waher persistence library waher persistence fulltextsearch net std 2 0 nuget https www nuget org packages waher persistence fulltextsearch the waher persistence fulltextsearch persistence waher persistence fulltextsearch project provides full text search capabilities to the data you persist using the waher persistence persistence waher persistence library regardless of what database provider you use the full text search engine can both index objects through their class definitions objects generated ex nihilo through the script engine or content available in files architecture is pluggable and you can extend the tokenization process by providing cusrtom tokenizers for different classes and file types waher persistence mongodb net std 2 0 nuget https www nuget org packages waher persistence mongodb the waher persistence mongodb persistence waher persistence mongodb project provides a mongodb https www mongodb org database provider that can be used for object persistence through the waher persistence persistence waher persistence library waher persistence serialization net std 1 3 nuget https www nuget org packages waher persistence serialization the waher persistence serialization persistence waher persistence serialization project defines a library that serializes objects to binary form using meta data provided through the corresponding class definitions object serializers are created dynamically compatible with waher persistence serialization compiled waher persistence serialization compiled net std 2 0 nuget https www nuget org packages waher persistence serialization compiled the waher persistence serialization compiled persistence waher persistence serialization compiled project defines a library that serializes objects to binary form using meta data provided through the corresponding class definitions object serializers are created dynamically dynamic code is compiled compatible with waher persistence serialization the folder also contains the following unit test projects project type project description waher persistence files test net core 3 1 the waher persistence files test persistence waher persistence files test project contains unit tests for the waher persistence files persistence waher persistence files project waher persistence fileslw test net core 3 1 the waher persistence fileslw test persistence waher persistence fileslw test project contains unit tests for the waher persistence fileslw persistence waher persistence fileslw project waher persistence fulltextsearch test net 6 0 the waher persistence fulltextsearch test persistence waher persistence fulltextsearch test project contains unit tests for the waher persistence fulltextsearch persistence waher persistence fulltextsearch project waher persistence mongodb test net core 3 1 the waher persistence mongodb test persistence waher persistence mongodb test project contains unit tests for the waher persistence mongodb persistence waher persistence mongodb project runtime the runtime runtime folder contains libraries that help applications with common runtime tasks such as caching maintaining a type inventory language localization runtime settings timing and scheduling project type link project description waher runtime cache net std 1 3 nuget https www nuget org packages waher runtime cache the waher runtime cache runtime waher runtime cache project provides tools for in memory caching waher runtime counters net std 1 3 nuget https www nuget org packages waher runtime counters the waher runtime counters runtime waher runtime counters project helps with counting events in runtime environments in a persistent and efficient and platform independent manner waher runtime inventory net std 1 3 nuget https www nuget org packages waher runtime inventory the waher runtime inventory runtime waher runtime inventory project keeps an inventory of types and interfaces available in your code it also provides a means to access available types given an interface and can find the best implementation to process a task or item it can be used to implement an inversion of control pattern and helps instantiate interfaces abstract classes and normal classes including recursively instantiating constructor arguments handles singleton types waher runtime inventory loader net std 2 0 nuget https www nuget org packages waher runtime inventory loader the waher runtime inventory loader runtime waher runtime inventory loader project dynamically loads modules from a folder and initiates the inventory defined in waher runtime inventory runtime waher runtime inventory with all loaded and referenced assemblies waher runtime language net std 1 3 nuget https www nuget org packages waher runtime language the waher runtime language runtime waher runtime language project helps applications with language localization waher runtime profiling net std 1 3 nuget https www nuget org packages waher runtime profiling the waher runtime profiling runtime waher runtime profiling project contains tools for profiling sequences of actions in multiple threads results are accumulated and can be exported to xml or as plantuml diagrams waher runtime queue net std 1 3 nuget https www nuget org packages waher runtime queue the waher runtime queue runtime waher runtime queue project contains a specialised fifo queue for asynchronous transport of items between tasks you can have multiple working tasks adding items to the queue as well as multiple working tasks subscribing to items from the queue waher runtime serviceregistration net std 1 3 nuget https www nuget org packages waher runtime serviceregistration the waher runtime serviceregistration runtime waher runtime serviceregistration library allows applications to register themselves with an xmpp based service registry such as the iot broker https waher se broker md waher runtime settings net std 1 3 nuget https www nuget org packages waher runtime settings the waher runtime settings runtime waher runtime settings project helps applications maintain a set of persistent settings waher runtime text net std 1 3 nuget https www nuget org packages waher runtime text the waher runtime text runtime waher runtime text project provides classes working with text and text documents particularly find differences between texts or sequences of symbols or mapping strings to a harmonized set of strings or tokens waher runtime temporary net std 1 3 nuget https www nuget org packages waher runtime temporary the waher runtime temporary runtime waher runtime temporary project contains classes simplifying working with temporary in memory and file streams waher runtime threading net std 1 3 nuget https www nuget org packages waher runtime threading the waher runtime threading runtime waher runtime threading project provides classes for usage in multi threaded asynchronous environments providing multiple read single write capabilities waher runtime timing net std 1 3 nuget https www nuget org packages waher runtime timing the waher runtime timing runtime waher runtime timing project provides tools for timing and scheduling waher runtime transactions net std 1 3 nuget https www nuget org packages waher runtime transactions the waher runtime transactions runtime waher runtime transactions project defines an architecture for processing transactions to help protect the integrity of data in asynchronous or distributed environments the folder also contains the following unit test projects project type project description waher runtime inventory test net core 3 1 the waher runtime inventory test runtime waher runtime inventory test project contains unit tests for the waher runtime inventory runtime waher runtime inventory project waher runtime language test net core 3 1 the waher runtime language test runtime waher runtime language test project contains unit tests for the waher runtime language runtime waher runtime language project waher runtime profiling test net core 3 1 the waher runtime profiling test runtime waher runtime profiling test project contains unit tests for the waher runtime profiling runtime waher runtime profiling project waher runtime settings test net core 3 1 the waher runtime settings test runtime waher runtime settings test project contains unit tests for the waher runtime settings runtime waher runtime settings project waher runtime text test net core 3 1 the waher runtime text test runtime waher runtime text test project contains unit tests for the waher runtime text runtime waher runtime text project waher runtime threading test net core 3 1 the waher runtime threading test runtime waher runtime threading test project contains unit tests for the waher runtime threading runtime waher runtime threading project script the script script folder contains libraries that define an extensible execution envionment for script supporting canonical extensions net integration graphs physical units and unit conversions etc for more information about the script engine supported by these libraries see the script reference https waher se script md project type link project description waher script net std 1 3 nuget https www nuget org packages waher script the waher script script waher script project is a class library that provides basic abstraction and execution model for symbolic math and scripting it also manages pluggable modules and easy dynamic access to runtime namespaces and types reference https waher se script md waher script content net std 1 3 nuget https www nuget org packages waher script content the waher script content script waher script content project is a class library that adds content functions to the script engine suitable for loading fetching or processing content from files or online resources waher script cryptography net std 1 3 nuget https www nuget org packages waher script cryptography the waher script cryptography script waher script cryptography project is a class library that adds cryptography functions to the script engine waher script data net std 2 0 nuget https www nuget org packages waher script data the waher script data script waher script data project is a class library that extends the script engine with functions for accessing external ms sql oledb or obdc databases waher script data mysql net std 2 0 nuget https www nuget org packages waher script data mysql the waher script data mysql script waher script data mysql project is a class library that extends the script engine with functions for accessing external mysql databases waher script data postgresql net std 2 0 nuget https www nuget org packages waher script data postgresql the waher script data postgresql script waher script data postgresql project is a class library that extends the script engine with functions for accessing external postgresql databases waher script fractals net std 2 0 nuget https www nuget org packages waher script fractals the waher script fractals script waher script fractals project is a class library that adds fractal image functions to the script engine suitable for generating backgound images it uses skiasharp https www nuget org packages skiasharp for cross platform 2d graphics manipulation waher script fulltextsearch net std 2 0 nuget https www nuget org packages waher script fulltextsearch the waher script fulltextsearch script waher script fulltextsearch project is a class library that adds full text search functions to the script engine full text search is provided by the waher persistence fulltextsearch persistence waher persistence fulltextsearch library waher script graphs net std 1 3 nuget https www nuget org packages waher script graphs the waher script graphs script waher script graphs project is a class library that adds graphing functions to the script engine it uses skiasharp https www nuget org packages skiasharp for cross platform 2d graphics manipulation waher script graphs3d net std 1 3 nuget https www nuget org packages waher script graphs3d the waher script graphs3d script waher script graphs3d project is a class library that adds 3d graphing functions to the script engine it uses skiasharp https www nuget org packages skiasharp for cross platform 2d graphics manipulation waher script lab net 4 6 2 executable x86 executables waher script lab x86 zip raw true the waher script lab script waher script lab project is a wpf application that allows you to experiment and work with script waher script networking net std 2 0 nuget https www nuget org packages waher script networking the waher script networking script waher script networking project is a class library that extends the script engine with functions for different network protocols waher script persistence net std 1 5 nuget https www nuget org packages waher script persistence the waher script persistence script waher script persistence project is a class library that contains script extensions for the persistence layer defined in waher persistence persistence waher persistence allows for searching for creating updating and deleting objects in the object database from script includes support for sql queries against the object database persistence layer and sparql queries for semantic web queries using graph notation linked data and graph databases waher script statisics net std 1 5 nuget https www nuget org packages waher script statistics the waher script statisics script waher script statisics project is a class library that adds statistical functions to the script engine waher script system net std 2 0 nuget https www nuget org packages waher script system the waher script system script waher script system project is a class library that extends the script engine with functions for accessing the system including executing processes waher script threading net std 1 3 nuget https www nuget org packages waher script threading the waher script threading script waher script threading project is a class library that adds functions to the script engine for executing script in a threaded environmet this includes parallel execution as well as protected serialized execution waher script xml net std 1 3 nuget https www nuget org packages waher script xml the waher script xml script waher script xml project is a class library that contains script extensions for parsing xml waher script xmldsig net std 2 0 nuget https www nuget org packages waher script xmldsig the waher script xmldsig script waher script xmldsig project is a class library that contains script extensions for signing and verifying xml documents using the xmldsig https www w3 org tr xmldsig core standard the folder also contains the following unit test projects project type project description waher script test net core 3 1 the waher script test script waher script test project contains unit tests for the script related projects in this section security the security security folder contains libraries that are dedicated at solving particular security or data protection such as authentication authorization and encryption project type link project description waher security net std 1 3 nuget https www nuget org packages waher security the waher security security waher security project provides a basic security model based on users roles and privileges it s not based on operating system features to allow code to be platform independent waher security acme net std 1 3 nuget https www nuget org packages waher security acme the waher security acme security waher security acme project contains a class library implementing the acme v2 protocol for the generation of certificates using acme compliant certificate servers as defined in the acme draft https tools ietf org html draft ietf acme acme 13 waher security callstack net std 2 0 nuget https www nuget org packages waher security callstack the waher security callstack security waher security callstack project provide tools for securing access to methods and properties in code by limiting access to them to a given set of callers this prevents unintentional leaks of information through code running in the same process waher security chachapoly net std 1 3 nuget https www nuget org packages waher security chachapoly the waher security chachapoly security waher security chachapoly project implements the chacha20 poly1305 and aead chacha20 poly1305 algorithms as defined in rfc 8439 https tools ietf org html rfc8439 waher security dtls net std 1 3 nuget https www nuget org packages waher security dtls the waher security dtls security waher security dtls project contains a class library implementing the datagram transport layer security dtls version 1 2 as defined in rfc 6347 https tools ietf org html rfc6347 waher security ellipticcurves net std 1 3 nuget https www nuget org packages waher security ellipticcurves the waher security ellipticcurves security waher security ellipticcurves project contains a class library implementing algorithms for elliptic curve cryptography such as ecdh ecdsa eddsa nist p 192 nist p 224 nist p 256 nist p 384 nist p 521 curve25519 curve448 edwards25519 and edwards448 waher security jws net std 1 3 nuget https www nuget org packages waher security jws the waher security jws security waher security jws project implements a framework for json web signatures jws as defined in rfc 7515 https tools ietf org html rfc7515 waher security jwt net std 1 3 nuget https www nuget org packages waher security jwt the waher security jwt security waher security jwt project helps applications with the creation and validation of java web tokens jwt as defined in rfc 7519 https tools ietf org html rfc7519 waher security jwt uwp uwp nuget https www nuget org packages waher security jwt uwp the waher security jwt uwp security waher security jwt uwp project provides a universal windows platform compatible version of the waher security jwt library this library can be used to develop applications for windows 10 on for instance rasperry pi waher security loginmonitor net std 1 3 nuget https www nuget org packages waher security loginmonitor the waher security loginmonitor security waher security loginmonitor helps applications monitor login activity and help block malicious entities from the system waher security loginmonitor uwp uwp nuget https www nuget org packages waher security loginmonitor uwp the waher security loginmonitor uwp security waher security loginmonitor uwp project provides a universal windows platform compatible version of the waher security loginmonitor library this library can be used to develop applications for windows 10 on for instance rasperry pi waher security pkcs net std 1 3 nuget https www nuget org packages waher security pkcs the waher security pkcs security waher security pkcs project contains classes and tools for working with public key cryptography standards pkcs waher security sha3 net std 1 3 nuget https www nuget org packages waher security sha3 the waher security sha3 security waher security sha3 project implements sha 3 as defined in nist fips 202 https nvlpubs nist gov nistpubs fips nist fips 202 pdf including the general keccak algorithm and the shake128 shake256 rawshake128 and rawshake256 xof functions waher security spf net std 1 3 nuget https www nuget org packages waher security spf the waher security spf security waher security spf project contains a class library for resolving sender policy framework spf strings as defined in rfc 7208 https tools ietf org html rfc7208 waher security users net std 1 3 nuget https www nuget org packages waher security users the waher security users security waher security users project defines an architecture of persistent users roles and privileges that can be used to provide detailed authorization in applications privileges are ordered in a tree structure roles contains a list of allowed privileges nodes or entire branches or explicitly prohibited privileges nodes or branches each user can be assigned one or more roles credentials are protected using hash digests objects are persisted through the object database abstraction layer defined in waher persistence the folder also contains the following unit test projects project type project description waher security acme test net core 3 1 the waher security acme test security waher security acme test project contains unit tests for the waher security acme security waher security acme project waher security chachapoly test net core 3 1 the waher security chachapoly test security waher security chachapoly test project contains unit tests for the waher security chachapoly security waher security chachapoly project waher security dtls test net core 3 1 the waher security dtls test security waher security dtls test project contains unit tests for the waher security dtls security waher security dtls project waher security ellipticcurves test net core 3 1 the waher security ellipticcurves test security waher security ellipticcurves test project contains unit tests for the waher security ellipticcurves security waher security ellipticcurves project waher security jwt test net core 3 1 the waher security jwt test security waher security jwt test project contains unit tests for the waher security jwt security waher security jwt project waher security loginmonitor test net core 3 1 the waher security loginmonitor test security waher security loginmonitor test project contains unit tests for the waher security loginmonitor security waher security loginmonitor project waher security pkcs test net core 3 1 the waher security pkcs test security waher security pkcs test project contains unit tests for the waher security pkcs security waher security pkcs project waher security sha3 test net core 3 1 the waher security sha3 test security waher security sha3 test project contains unit tests for the waher security sha3 security waher security sha3 project waher security spf test net core 3 1 the waher security spf test security waher security spf test project contains unit tests for the waher security spf security waher security spf project services the services services folder contains standalone service applications project type link project description waher service gpio uwp the waher service gpio services waher service gpio project defines a universal windows platform application that can be installed on windows 10 iot devices it will publish available gpio inputs outputs over xmpp sensor control and chat interfaces it will also publish digital and analog arduino interfaces if an arduino using the firmata protocol is connected to an usb port of the device the application can be used to elaborate with gpio peripherals using a simple chat client waher service pcsensor net 4 6 2 executable executables waher service pcsensor zip raw true the waher service pcsensor services waher service pcsensor project defines an application that converts your pc into an iot sensor by publishing performace counters as sensor values full screen shot 1 images waher service pcsensor 1 png full screen shot 2 images waher service pcsensor 2 png full screen shot 3 images waher service pcsensor 3 png themes the themes themes folder contains libraries that contain content files for different visual themes project type link project description waher theme cactusrose net std 1 0 nuget https www nuget org packages waher theme cactusrose the waher theme cactusrose themes waher theme cactusrose project contains content files for the cactus rose theme waher theme gothicpeacock net std 1 0 nuget https www nuget org packages waher theme gothicpeacock the waher theme gothicpeacock themes waher theme gothicpeacock project contains content files for the gothic peacock theme waher theme retro64 net std 1 0 nuget https www nuget org packages waher theme retro64 the waher theme retro64 themes waher theme retro64 project contains content files for the retro 64 theme waher theme spacegravel net std 1 0 nuget https www nuget org packages waher theme spacegravel the waher theme spacegravel themes waher theme spacegravel project contains content files for the space gravel theme waher theme winterdawn net std 1 0 nuget https www nuget org packages waher theme winterdawn the waher theme winterdawn themes waher theme winterdawn project contains content files for the winter dawn theme things the things things folder contains libraries that define a hardware and data abstraction layer for interacting with things this includes describing sensor data control parameters attributes displayable parameters commands queries and data sources it also includes embedding things dynamically to form more complex devices such as concentrators or bridges project type link project description waher things net std 1 3 nuget https www nuget org packages waher things the waher things things waher things project is a class library that provides basic abstraction of things errors sensor data and control operations waher things arduino uwp nuget https www nuget org packages waher things arduino the waher things arduino things waher things arduino project is a class library that publishes nodes for interaction with arduinos and connected modules via firmata waher things files net std 2 0 nuget https www nuget org packages waher things files the waher things files things waher things files project publishes nodes that permit you to define sensor and actuator nodes in the network based on files in the file system waher things gpio uwp nuget https www nuget org packages waher things gpio the waher things gpio things waher things gpio project is a class library that publishes nodes for interaction with onboard general purpose input output gpio modules waher things ip net std 2 0 nuget https www nuget org packages waher things ip the waher things ip things waher things ip project is a class library that publishes nodes representing nodes on an ip network waher things metering net std 1 3 nuget https www nuget org packages waher things metering the waher things metering things waher things metering project is a class library that defines a basic metering infrastructure waher things modbus net std 2 0 nuget https www nuget org packages waher things modbus the waher things modbus things waher things modbus project is a class library that publishes nodes representing modbus devices waher things mqtt net std 2 0 nuget https www nuget org packages waher things mqtt the waher things mqtt things waher things mqtt project is a class library that publishes nodes representing devices connected to mqtt brokers waher things script net std 1 3 nuget https www nuget org packages waher things script the waher things script things waher things script project is a class library that publishes nodes that permit you to define sensors and actuators using script waher things semantic net std 2 0 nuget https www nuget org packages waher things semantic the waher things semantic things waher things semantic project is a class library that publishes nodes representing semantic web devices it also makes other non semantic metering devices available via semantic web interfaces such as sparql queries waher things snmp net std 1 3 nuget https www nuget org packages waher things snmp the waher things snmp things waher things snmp project is a class library that publishes nodes representing snmp devices on the local area network waher things test net core 3 1 the waher things test things waher things test project contains unit tests related to the thing libraries waher things virtual net std 1 3 nuget https www nuget org packages waher things virtual the waher things virtual things waher things virtual project is a class library that publishes virtual nodes that can act as placeholders for software that wishes to publish nodes on the network waher things xmpp net std 2 0 nuget https www nuget org packages waher things xmpp the waher things xmpp things waher things xmpp project is a class library that publishes nodes for communication with devices over xmpp utilities the utilities utilities folder contains applications that help the developer or administrator with different tasks project type link project description waher utility acme net 4 6 2 the waher utility acme utilities waher utility acme is a command line tool that helps you create certificates using the automatic certificate management environment acme v2 protocol waher utility analyzeclock net core 3 1 the waher utility analyzeclock utilities waher utility analyzeclock is a command line tool that helps you analyze the difference in clocks between machines compatible with the ieee xmpp iot extensions https gitlab com ieee sa xmppi iot waher utility analyzedb net core 3 1 the waher utility analyzedb utilities waher utility analyzedb is a command line tool that helps you analyze an object database created by the waher persistence files persistence waher persistence files or waher persistence fileslw persistence waher persistence fileslw libraries such as the iot gateway database waher utility asn1tocsharp net core 3 1 the waher utility asn1tocsharp utilities waher utility asn1tocsharp is a command line tool that creates c files from definitions made in asn 1 files waher utility csp net core 3 1 the waher utility csp utilities waher utility csp is a command line tool that helps you perform operations on keys managed by the system cryptographic service provider csp waher utility deletedb net core 3 1 the waher utility deletedb utilities waher utility deletedb is a command line tool that helps you delete an object database created by the waher persistence files or waher persistence fileslw libraries such as the iot gateway database including any cryptographic keys stored in the csp waher utility exstat net core 3 1 the waher utility exstat utilities waher utility exstat is a command line tool that helps you extract statistical information about exceptions occurring in an iot gateway with logging of exceptions activated waher utility extract net core 3 1 the waher utility extract utilities waher utility extract is a command line tool that helps you extract information from a backup file generated by the iot gateway waher utility genmanifest net core 3 1 the waher utility genmanifest utilities waher utility genmanifest project provides a command line tool that can generate manifest files from files existing in folders waher utility getemojicatalog net core 3 1 the waher utility getemojicatalog utilities waher utility getemojicatalog project downloads an emoji catalog http unicodey com emoji data table htm and extracts the information and generates code for handling emojis waher utility install net core 3 1 the waher utility install utilities waher utility install is a command line tool that helps you install pluggable modules into the iot gateway waher utility regex net core 3 1 the waher utility regex utilities waher utility regex is a command line tool that helps you find content in files using regular expressions and optionally either export the findings or replace them with something else waher utility runscript net core 3 1 the waher utility runscript utilities waher utility runscript is a command line tool that allows you to execute script waher utility sign net core 3 1 the waher utility sign utilities waher utility sign is a command line tool that helps you sign files using asymmetric keys waher utility transform net core 3 1 the waher utility transform utilities waher utility transform is a command line tool that transforms an xml file utilizing an xsl transform xslt waher utility translate net core 3 1 the waher utility translate utilities waher utility translate is a command line tool that helps translating resource strings from one language to another it uses an internal database to check for updates and performs translations only of new or updated strings accordingly web services the webservices webservices folder contains modules that add web service capabilities to projects they are used in project type link project description waher webservice script net std 2 0 the waher webservice script webservices waher webservice script project provides a web service that can be used to execute script on the server from the client waher webservice sparql net std 2 0 the waher webservice sparql webservices waher webservice sparql project provides a sparql endpoint that can be used to execute federated queries on the server and across the network waher webservice tesseract net std 2 0 the waher webservice tesseract webservices waher webservice tesseract project provides a web service that can act as a gateway to tesseract https tesseract ocr github io tessdoc downloads html installed on the server the folder also contains the following unit test projects project type project description waher webservice tesseract test net core 3 1 the waher security spf test security waher security spf test project contains unit tests for the waher security spf security waher security spf project | server |
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resources | blockchain resources https blockchainedindia github io resources curated list of blockchain and general cryptocurrency resources table of contents cryptography cryptography bitcoin books bitcoin blockchain art blockchain art blockchain books blockchain books courses courses documentaries documentaries ethereum and smart contracts ethereum and smart contracts explorers explorers infographics infographics talks talks white papers white papers youtube channels youtube channels assets assets private blockchains private blockchain tutorials tutorials faucets faucets blogs blogs articles articles other decentralised tech other decentralised tech discussion groups discussion groups cryptography cryptography basics http www cis syr edu wedu teaching cis758 lecturenotes new crypto pdf an intensive introduction to cryptography https www intensecrypto org public what is pgp https www binance vision security what is pgp binance academy what is symmetric key crpytography https www binance vision security what is symmetric key cryptography binance academy symmetric vs asymmetric encryption https www binance vision security symmetric vs asymmetric encryption binance academy what is public key cryptography https www binance vision security what is public key cryptography binance academy history of cryptography https www binance vision security history of cryptography binance academy blockchain books blockchain explained a technology guide to the bitcoin and cryptocurrency fintech revolution https www amazon com blockchain explained technology cryptocurrency revolution dp 1535315946 ref pd sim 14 5 encoding utf8 pd rd i 1535315946 pd rd r 615dfbpatqx6gx4rbpwp pd rd w 96va0 pd rd wg m6xmm psc 1 refrid 615dfbpatqx6gx4rbpwp r j simmons blockchain fast and simple what it is how it works why it matters understand the basics join the revolution https www amazon com blockchain fast simple understand revolution ebook dp b01m1j671w ref sr 1 1 s books ie utf8 qid 1476984683 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ultimate guide to understanding the hidden economy https www amazon com blockchain ultimate understanding hidden economy dp 1534839720 ref pd sim 14 5 encoding utf8 pd rd i 1534839720 pd rd r 6w5m79gd2jfecezdhpjf pd rd w 19drm pd rd wg dms0s psc 1 refrid 6w5m79gd2jfecezdhpjf s oscar flynt blockchain blueprint for a new economy https www amazon com blockchain blueprint economy melanie swan dp 1491920491 ref pd sim 14 3 encoding utf8 pd rd i 1491920491 pd rd r 3kqxc5rxym1r64cdq0dw pd rd w yggzx pd rd wg udr6c psc 1 refrid 3kqxc5rxym1r64cdq0dw melanie swan blockchain easiest ultimate guide to understand blockchain https www amazon com blockchain understand programming contracts revolution dp 1537533371 ref pd sim 14 3 encoding utf8 pd rd i 1537533371 pd rd r 904dcpsy2qzx2vm23xqd pd rd w 3ocfl pd rd wg jjfbs psc 1 refrid 904dcpsy2qzx2vm23xqd jared norton blockchain quick start guide to understanding blockchain the biggest revolution in financial technology and beyond since the internet https www amazon com blockchain understanding revolution financial technology dp 153469093x ref pd sim 14 1 encoding utf8 pd rd i 153469093x pd rd r d7a8braqa9gnyqyes830 pd rd w 76sme pd rd wg scgv1 psc 1 refrid d7a8braqa9gnyqyes830 seth ramsey blockchain the comprehensive guide to mastering the hidden economy https www amazon com blockchain comprehensive mastering technology financial dp 1537272039 ref pd sim 14 9 encoding utf8 pd rd i 1537272039 pd rd r d7a8braqa9gnyqyes830 pd rd w 76sme pd rd wg scgv1 psc 1 refrid d7a8braqa9gnyqyes830 timothy short blockchain the essential guide to understanding the blockchain revolution https www amazon com blockchain essential guide understanding revolution dp 1537317504 ref pd sim 14 2 encoding utf8 pd rd i 1537317504 pd rd r n3211hrz6t4etter3my3 pd rd w i44hf pd rd wg evc6k psc 1 refrid n3211hrz6t4etter3my3 jeff reed blockchain the future of internet innovation ideas applications and uses for blockchain technology https www amazon com blockchain 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7xn6ajy2px75qdztzapm pd rd w zdhwi pd rd wg oq9te psc 1 refrid 7xn6ajy2px75qdztzapm siraj raval financial technology this book bundle includes fintech and blockchain https www amazon com financial technology bundle fintech blockchain dp 1533477299 ref pd sim 14 3 encoding utf8 pd rd i 1533477299 pd rd r d7a8braqa9gnyqyes830 pd rd w 76sme pd rd wg scgv1 psc 1 refrid d7a8braqa9gnyqyes830 jacob william how to program a block chain explorer with python and bitcoin https www amazon com program block explorer python bitcoin ebook dp b014b6890g ref sr 1 1 s books ie utf8 qid 1476984581 sr 1 1 keywords how to program a block chain explorer with python and bitcoin alex gorale the business blockchain promise practice and application of the next internet technology https www amazon com fintech book technology entrepreneurs visionaries dp 111921887x ref pd bxgy 14 img 3 encoding utf8 pd rd i 111921887x pd rd r z5zrqn8rg5teqtmkyha9 pd rd w qigxn pd rd wg wzm9d psc 1 refrid z5zrqn8rg5teqtmkyha9 william mougayar the fintech book the financial technology handbook for investors entrepreneurs and visionaries https www amazon com fintech book technology entrepreneurs visionaries dp 111921887x ref pd bxgy 14 img 3 encoding utf8 pd rd i 111921887x pd rd r z5zrqn8rg5teqtmkyha9 pd rd w qigxn pd rd wg wzm9d psc 1 refrid z5zrqn8rg5teqtmkyha9 susanne chishti and janos barberis the fourth industrial revolution https www amazon com fourth industrial revolution klaus schwab dp 1944835008 ref sr 1 1 s books ie utf8 qid 1476984488 sr 1 1 keywords the fourth industrial revolution prof klaus schwab the science of the blockchain https www amazon com science blockchain inverted forest publishing dp 1522751831 ref pd sim 14 10 encoding utf8 pd rd i 1522751831 pd rd r ff7d9xvt7epcacxh29z8 pd rd w jxbsj pd rd wg pcc0z psc 1 refrid ff7d9xvt7epcacxh29z8 roger wattenhofer valueweb how fintech firms are using mobile and blockchain technologies to create the internet of value https www amazon com valueweb fintech blockchain technologies internet dp 9814677175 ref pd sim 14 10 encoding utf8 pd rd i 9814677175 pd rd r bcchstjwge32h74xn9gz pd rd w 2ygdw pd rd wg ub9kn psc 1 refrid bcchstjwge32h74xn9gz chris skinner blockchain for dummies https www amazon com blockchain dummies computer tech dp 1119365597 tiana laurence mastering bitcoin programming https www amazon in mastering bitcoin programming open blockchain dp 9352135741 andreas m antonopoulos white papers a fistful of bitcoins characterizing payments among men with no names http cseweb ucsd edu smeiklejohn files imc13 pdf university of san diego california a brave new world what impact will distributed ledger technology have on the financial industry https www ecb europa eu paym pdf infocus 20160422 infocus dlt pdf the european central bank an architecture for the internet of money https docs google com document d 1bc kzxrotemzg6avh7rrtruy24uwhoecgil7alhmo0a pub meher roy banking in a world of programmable assets https www accenture com t20160509t223022 w us en acnmedia pdf 16 accenture strategy banking world of programmable assets pdf accenture bitcoin primer http www macroriskadvisors com layout pdf bitcoin 20primer 20btc pdf macro risk advisors bitcoin as money http www bostonfed org economic current policy perspectives 2014 cpp1404 pdf stephanie lo and j christina wang bitcoin http research microsoft com pubs 156072 bitcoin pdf microsoft research blockchain technology beyond bitcoin http scet berkeley edu wp content uploads blockchainpaper pdf university of california berkeley blockchain practical implications of a revolutionary technology for financial markets and beyond https www dlapiper com en uk insights events 2016 04 blockchain practical implications 11 apr 2016 dla piper blockchain the solution for transparency in product supply chains https www provenance org whitepaper project provenance ltd blockstack a global naming and storage system secured by blockchains https blockstack org blockstack pdf muneeb ali jude nelson ryan shea and michael j freedman bootstrapping trust in distributed systems with blockchains https blockstack org blockstack login pdf muneeb ali jude nelson ryan shea and michael j freedman consensus immutable agreement for the internet of value https assets kpmg com content dam kpmg pdf 2016 06 kpmg blockchain consensus mechanism pdf kpmg distributed ledger technology beyond block chain https www gov uk government uploads system uploads attachment data file 492972 gs 16 1 distributed ledger technology pdf uk government chief scientific adviser economics of bitcoin http nakamotoinstitute org static docs economics of bitcoin pdf peter surda enabling blockchain innovations with pegged sidechains https blockstream com sidechains pdf adam back matt corallo luke dashjr mark friedenbach gregory maxwell andrew miller andrew poelstra jorge tim n and pieter wuille extending existing blockchains with virtualchain https blockstack org virtualchain pdf jude nelson muneeb ali ryan shea and michael j freedman the impact and potential of blockchain on the securities transaction lifecycle http www zyen com publications the 20impact 20and 20potential 20of 20blockchain 20on 20the 20securities 20transaction 20lif pdf the swift institute world citizenship by creating affordable private passport service https docs google com document d 1hq52gt0sq8mjbz3 qr lipztbfqida2wv8vb 1m8i4u edit chris ellis bitcoin anonymous cryptocurrencies the rise of bitcoin alternatives that offer true anonymity https www amazon com cryptocurrencies bitcoin alternatives offer anonymity dp 1500682586 ref pd sim 14 24 encoding utf8 pd rd i 1500682586 pd rd r pmb5gabnhvfm2vhe3wbh pd rd w 6ygsw pd rd wg yvxm8 psc 1 refrid pmb5gabnhvfm2vhe3wbh will martin bit by bit how p2p is freeing the world https www amazon com bit how p2p freeing world ebook dp b00s085trs ref sr 1 1 ie utf8 qid 1476985273 sr 8 1 keywords bit by bit jeffery tucker bitcoin a complete beginner s guide master the game https www amazon com bitcoin complete beginners guide master ebook dp b01ju6kd9c ref sr 1 2 ie utf8 qid 1476986332 sr 8 2 keywords the bitcoin tutorial 3a luke sutton bitcoin basics https www amazon com bitcoin basics creating investing bitcoins dp 1508478945 ref pd sim 14 4 encoding utf8 pd rd i 1508478945 pd rd r ymypcm376h2jnj9nvb6d pd rd w 0gtr5 pd rd wg iqdc9 psc 1 refrid ymypcm376h2jnj9nvb6d benjamin tideas bitcoin decoded bitcoin beginner s guide to mining and the strategies to make money with cryptocurrencies https www amazon com bitcoin decoded beginners strategies cryptocurrencies dp 061595524x ref pd sim 14 12 encoding utf8 pd rd i 061595524x pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 brett combs tom mitsoff bitcoin for dummies https www amazon com bitcoin dummies prypto dp 1119076137 ref pd sim 14 30 encoding utf8 pd rd i 1119076137 pd rd r 26rqgpjbs5v65wxkfs9z pd rd w djmvn pd rd wg e1guu psc 1 refrid 26rqgpjbs5v65wxkfs9z prypto bitcoin internals a technical guide to bitcoin https www amazon com bitcoin internals technical guide ebook dp b00dg8ept0 ref sr 1 1 ie utf8 qid 1476985144 sr 8 1 keywords bitcoin internals 3a chris clark bitcoin step by step for beginners how to invest and profit from bitcoin today https www amazon com bitcoin step beginners invest profit ebook dp b00k5rukee ref sr 1 1 ie utf8 qid 1476986366 sr 8 1 keywords bitcoin step by step leo kallstrom bitcoin the future of money https www amazon com bitcoin future money dominic frisby dp 1783521023 ref pd sim 14 19 encoding utf8 pd rd i 1783521023 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 dominic frisby bitcoin and cryptocurrency technologies a comprehensive introduction https www amazon com bitcoin cryptocurrency technologies comprehensive introduction dp 0691171696 ref pd sim 14 8 encoding utf8 pd rd i 0691171696 pd rd r 0chwwtbsreye58r7p0sx pd rd w gcu04 pd rd wg gzavr psc 1 refrid 0chwwtbsreye58r7p0sx arvind narayanan joseph bonneau edward felten andrew miller steven goldfeder free version of first draft https d28rh4a8wq0iu5 cloudfront net bitcointech readings princeton bitcoin book pdf a 1 bitcoin and the future of money https www amazon com bitcoin future money jose pagliery dp 1629370363 ref pd sim 14 14 encoding utf8 pd rd i 1629370363 pd rd r nhz4sy5acxyyfa2fn5pk pd rd w wi1xd pd rd wg ltnfm psc 1 refrid nhz4sy5acxyyfa2fn5pk jose pagliery bitcoin for the befuddled https www amazon com bitcoin befuddled conrad barski dp 1593275730 ref pd sim 14 8 encoding utf8 pd rd i 1593275730 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 conrad barski and chris wilmer bitcoin in english https www amazon com bitcoin english understanding how works ebook dp b00x09lbx8 ref sr 1 1 ie utf8 qid 1476985191 sr 8 1 keywords bitcoin in english peter h le bitcoin mastering bitcoin cyptocurrency for beginners https www 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1 keywords mastering bitcoin 3a unlocking digital cryptocurrencies andreas m antonopoulos the age of cryptocurrency how bitcoin and digital money are challenging the global economic order https www amazon com age cryptocurrency bitcoin challenging economic dp 1250065631 ref pd sim 14 6 encoding utf8 pd rd i 1250065631 pd rd r 7xn6ajy2px75qdztzapm pd rd w zdhwi pd rd wg oq9te psc 1 refrid 7xn6ajy2px75qdztzapm paul vigna and michael j casey the anatomy of a money like informational commodity a study of bitcoin https www amazon com anatomy money like informational commodity bitcoin ebook dp b00meao7xk ref sr 1 1 ie utf8 qid 1476985224 sr 8 1 keywords the anatomy of a money tim swanson the bitcoin bible https www amazon com bitcoin bible gold benjamin guttmann dp 3732296962 ref pd sim 14 18 encoding utf8 pd rd i 3732296962 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 benjamin guttmann the bitcoin big bang how alternative currencies are about 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technologies online course https www coursera org course bitcointech programming bitcoin youtube channel https www youtube com programmingbitcoin by murray coding multi signature addresses https www youtube com watch v zibusazbjgu by d angelo cryptographic currencies crash course c4 http www2016 net proceedings companion p1021 pdf by aljosha judmayer and edgar weipp the libbitcoin tutorial http libbitcoin dyne org doc by taaki how to parse the bitcoin blockchain http codesuppository blogspot com 2014 01 how to parse bitcoin blockchain html by ratcliff signing offline transactions https gist github com jashmenn 9811205 by maxwell 2 of 2 escrow example https gist github com jashmenn 9811198 by maxwell 2 of 3 multisig example https gist github com jashmenn 9811185 by andresen how to decrypt messages in the blockchain from btcmsg https gist github com ripper234 1625828 by ripper234 hyperledger training certifications https www hyperledger org resources training blockchain council https www blockchain council org certification training faucets get btc on testnet http tpfaucet appspot com get eth on rinkeby testnet https www rinkeby io faucet blockx labs universal faucet https faucets blockxlabs com blogs coindesk https www coindesk com cointelegraph https cointelegraph com blockchain news https blockchain news blockchain blog https blog blockchain com blockchain blog on medium https medium com blockchain blog ibm blockchain blog https www ibm com blogs blockchain ccn https www ccn com bitcoin blog https bitcoin org en blog coinbase blog https blog coinbase com forklog http forklog net ethereum blog https blog ethereum org ethereum world news http ethereumworldnews com zebpay blog https blog zebpay com coingate blog https blog coingate com binance blog https www binance com en blog binance academy https www binance vision articles blockchained india articles https medium com blockchainedindia acyclic labs articles https medium com acycliclabs snarks https medium com vitalikbuterin zk snarks under the hood b33151a013f6 bulletproofs https crypto stanford edu bulletproofs short proofs for confidential transactions and more blockchain applications https www connectbit com blockchain applications cheefoo hellocourage hyperledger fabric https hyperledger fabric readthedocs io en latest index html blockchain architecture explained https techwithgajesh com blockchain architecture explained consensus mechanisms what is a blockchain consensus mechanism https www binance vision blockchain what is a blockchain consensus algorithm by binance academy pow proof of work pow and blockchains https www zurich ibm com dccl papers eyal dccl slides pdf presentation by prof ittay eyal ic3 the pow concept http nakamotoinstitute org mempool the proof of work concept article by the nakamoto institute proof of work vs proof of stake https blockgeeks com guides proof of work vs proof of stake by blockgeeks vulnerability proof of work vs proof of stake https medium com robertgreenfieldiv vulnerability proof of work vs proof of stake f0c44807d18c proof of work explained https www binance vision blockchain proof of work explained by binance academy pos proof of stake strengths and weaknesses of pos https blog ethereum org 2014 07 05 stake vitalik buterin s article on the strengths and weaknesses of staking contrasting to pow algorithms pos design philosophy https medium com vitalikbuterin a proof of stake design philosophy 506585978d51 a proof of stake design philosophy by vitalik buterin ethereum pos faq https github com ethereum wiki wiki proof of stake faq the evolution of pos https cointelegraph com news the history and evolution of proof of stake article on the evolution of pos by coin telegraph weak subjectivity in pos https blog ethereum org 2014 11 25 proof stake learned love weak subjectivity weak subjectivity in pos by vitalik buterin the history of casper chapter 1 https medium com vlad zamfir the history of casper part 1 59233819c9a9 vlad zamfir s series on the history of casper chapter 2 https medium com vlad zamfir the history of casper chapter 2 8e09b9d3b780 chapter 3 https medium com vlad zamfir the history of casper chapter 3 70fefb1182fc chapter 4 https medium com vlad zamfir the history of casper chapter 4 3855638b5f0e chapter 5 https medium com vlad zamfir the history of casper chapter 5 8652959cef58 on stake and consensus https download wpsoftware net bitcoin pos pdf critic on the pos philosophy https medium com tuurdemeester critique of buterins a proof of stake design philosophy 49fc9ebb36c6 by tuur demeester extended summary on casper https medium com jonchoi ethereum casper 101 7a851a4f1eb0 by jon choi the economics of the pos consensus algorithm https medium com gertrammeloo the economics of the proof of stake consensus algorithm e28adf63e9db casper vs tendermint https blog cosmos network consensus compare casper vs tendermint 6df154ad56ae minimal slashing condition in ethereum https medium com vitalikbuterin minimal slashing conditions 20f0b500fc6c proof of stake explained https www binance vision blockchain proof of stake explained dpos delegated proof of stake dpos introduction https bitshares org technology delegated proof of stake consensus introduction to dpos by bitshares dpos vs pow http bytemaster github io bitshares 2015 01 04 delegated proof of stake vs proof of work article by daniel larimer from bitshares tendermint bft vs eos dpos https blog cosmos network consensus compare tendermint bft vs eos dpos 46c5bca7204b by tendermint seeking consensus on consensus https steemit com eos iang seeking consensus on consensus dpos or delegated proof of stake and the two generals problem delegated proof of stake and the two generals problem dpos explained https www binance vision blockchain delegated proof of stake explained by binance academy dbft delegated byzantine fault tolerance byzantine fault tolerance in distributed systems http sce uhcl edu goodwin ceng5334 downloads byzantine pdf by prof kenneth goodwin dbft vs pow and pos https www econotimes com blockchain project antshares explains reasons for choosing dbft over pow and pos 659275 antshare s now neo views on consensus intro to ethermint bft https blog cosmos network a beginners guide to ethermint 38ee15f8a6f4 governance the consensus series part i the basics of collectivity https blog coinfund io the consensus series part i the basics of collectivity a11d76ff4d5d and addendum https buzzrobot com consensus series addendum 1 what do the robots want 729349014aee by aleksandr bulkin governance and network effects https blog aragon one thoughts on governance and network effects f40fda3e3f98 notes on blockchain governance https vitalik ca general 2017 12 17 voting html by vitalik buterin against on chain governance https medium com vlad zamfir against on chain governance a4ceacd040ca by vlad zamfir on public vs private blockchains https blog ethereum org 2015 08 07 on public and private blockchains by vitalik buterin other decentralised tech everything tangle https www youtube com channel ucqaor qli2tgcegap3zwfqw iota projectstube https www youtube com channel ucpkbe3zikngjyb0zk6m1eaa iota currency https www youtube com channel uc8xt puwpkplwp utaa7yiq iota whitepaper v1 3 http iotatoken com iota whitepaper pdf hashgraph https www youtube com channel ucihe4nypax9e9sssfnwrjww discussion groups blockchained india https t me blockchainedindia crypto trading https t me joinchat bnh xriatzhob nh31dkrg bitcoin core https t me bitcoincore litecoin https t me litecoin unofficial ltc https t me litecoiner peercoin https t me peercoin iota tech https t me iotatangle iota slack https slack iota org mercury protocol https t me mercuryprotocol envion https t me envion hashgraph http t me hashgraph hashgraph dev http t me hashgraphdev hashgraph news http t me hashgraphnews leverj https t me leverj prover project https t me prover io canya community https t me canyacommunity 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estoreapp | estoreapp e store application for database engineering project | server |
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scalikejdbc_gen | scalikejdbc gen reverse engineering of database tales for use in scalikejdbc projects much of what is here was taken from the section 9 of japanese version of the github repository scalikejdbc cookbook https github com scalikejdbc scalikejdbc cookbook files needed for the reverse engineering to take place project scalikejdbc gen sbt this describes the sbt plug in configuration please do not forget to specify the jdbc driver sbt do not forget to specify the jdbc driver librarydependencies org hsqldb hsqldb 2 addsbtplugin org scalikejdbc scalikejdbc mapper generator 2 2 project scalikejdbc properties file name and location is fixed by copying the following model java jdbc jdbc driver org hsqldb jdbc jdbcdriver jdbc url jdbc hsqldb file db test jdbc username sa jdbc password jdbc schema source code generator settings package to place the class to generate generator packagename com abb servicesuite picklist cl dao generator linebreak lf crlf generator linebreak lf generator template interpolation querydsl generator template querydsl generator testtemplate specs2unit specs2acceptance scalatestflatspec generator testtemplate scalatestflatspec generator encoding utf 8 when you re using scala 2 11 or higher you can use case classes for 22 columns tables generator caseclassonly true set autosession for implicit dbsession parameter s default value generator defaultautosession false use autoconstruct macro default false generator autoconstruct false joda time org joda time datetime or jsr 310 java time zoneddatetime java time offsetdatetime generator datetimeclass java time zoneddatetime build sbt by appending a scalikejdbcsettings it will enable scalikejdbc gen command please do not forget to put a blank line before and after scalikejdbcsettings how to use using scalikejdbc gen is very simple following the scalikejdbc gen command you specify the table name specify the class name to be generated if necessary shell sbt scalikejdbc gen table name class name for example if there is a table called operation history to reverse engineer it use scalikejdbc gen operation history this will create the files src main scala com abb servicesuite dao operationhistory scala and src test scala com ab servicesuite dao operationhistoryspec scala in the case of the table named operation histories in table naming rules such as ruby s activerecord it is generated with the same file name if you specify scalikejdbc gen operation histories operationhistory this will specifu the filesname as operationhistories scala and operationhistoriesspec scala by using the class name and by setting a function called tablenametoclassname of generatorsettings on build sbt and build scala it is also possible to set your own naming conventions at once generated code it may take a little long but the code is actually generated since the test code is also generated how to use the class i think is immediately apparent for the table sql create table member id int generated always as identity name varchar 30 not null description varchar 1000 birthday date created at timestamp not null primary key id when you run the scalikejdbc gen member to generate the code you will get the following src main scala com example member scala scala package package com abb servicesuite dao import scalikejdbc import org joda time localdate datetime case class member id int name string description option string none birthday option localdate none createdat datetime def save implicit session dbsession member autosession member member save this session def destroy implicit session dbsession member autosession unit member destroy this session object member extends sqlsyntaxsupport member override val tablename member override val columns seq id name description birthday created at def apply m resultname member rs wrappedresultset member new member id rs int m id name rs string m name description rs stringopt m description birthday rs dateopt m birthday map tolocaldate createdat rs timestamp m createdat todatetime val m member syntax m h autosession autosession def find id int implicit session dbsession autosession option member withsql select from member as m where eq m id id map member m resultname single apply def findall implicit session dbsession autosession list member withsql select from member as m map member m resultname list apply def countall implicit session dbsession autosession long withsql select sqls count 1 from member as m map rs rs long 1 single apply get def findallby where sqlsyntax implicit session dbsession autosession list member withsql select from member as m where append sqls where map member m resultname list apply def countby where sqlsyntax implicit session dbsession autosession long withsql select sqls count 1 from member as m where append sqls where map long 1 single apply get def create name string description option string none birthday option localdate none createdat datetime implicit session dbsession autosession member generatedkey withsql h insert into member columns column name column description column birthday column createdat values name description birthday createdat updateandreturngeneratedkey apply member id generatedkey toint name name description description birthday birthday createdat createdat def save m member implicit session dbsession autosession member withsql update member as m set m id m id m name m name m description m description m birthday m birthday m createdat m createdat where eq m id m id update apply m def destroy m member implicit session dbsession autosession unit withsql delete from member where eq column id m id update apply src test scala com abb servicesuite dao memberspec scala scala package com abb servicesuite dao import scalikejdbc specs2 mutable autorollback import org specs2 mutable import org joda time class memberspec extends specification member should find by primary keys in new autorollback val maybefound member find 123 maybefound isdefined should betrue find all records in new autorollback val allresults member findall allresults size should be 0 count all records in new autorollback val count member countall count should be 0l find by where clauses in new autorollback val results member findallby sqls eq m id 123 results size should be 0 count by where clauses in new autorollback val count member countby sqls eq m id 123 count should be 0l create new record in new autorollback val created member create name mystring createdat datetime now created should not benull save a record in new autorollback val entity member findall head val updated member save entity updated should not equalto entity destroy a record in new autorollback val entity member findall head member destroy entity val shouldbenone member find 123 shouldbenone isdefined should befalse | server |
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automation-repo | new samples are posted here https github com katanaml sample apps process automation with machine learning 1 invoice automation d1 ipynb date is split into multiple columns 2 invoice automation d2 ipynb instead of splitting date using date difference in days 3 invoice risk model local ipynb step by step notebook to run xgboost on premise 4 diabetes redsamurai db ipynb notebook which demonstrates how to fetch training data directly from db prepare train test datasets and run training with xgboost 5 diabetes redsamurai endpoint db ipynb notebook which demonstrates how to use flask to expose xgboost ml model 6 convnet cat vs dog image classification model built using python code from book https www manning com books deep learning with python original source code from the book on github https github com fchollet deep learning with python notebooks 7 forecast future price forecast for iron steel with prophet model example how to save load prophet model and expose flask api 8 regression keras tensorflow model with regression implementation to predict report execution time before report request is submitted 9 tfjs sentiment tensorflow js example where python model is reused to calculate hotel review sentiment 10 regressiontfjs tensorflow js use case example with training transfer learning to predict business report execution time 11 oracleml machine learning with sql in oracle db 12 tf2 0 ml model implemented with tensorflow 2 0 and keras 13 tf serving tensorflow serving example to publish keras model through rest 14 forecast lstm simple timeseries forecast example with true future 15 tfjs simple tensorflow js example using tensorflow js api for data read and processing 16 pipeline ml pipeline example with keras regression model scheduled re training and flask rest api 17 unsupervised unsupervised ml example with autoencoder to detect anomaly fraud in health insurance claims author andrej baranovskij red samurai consulting https redsamuraiconsulting com our machine learning product https katanaml io | ai |
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YellowLabTools | img src doc img logo png alt yellow lab tools img analyzes a webpage and detects performance or front end code quality issues free easy to launch easy to understand in depth details img src doc img commandment png alt no website should go live without being tested with yellow lab tools img table tr td width 70 the b online tool b recommended a href https yellowlab tools target blank https yellowlab tools a td td width 30 img src doc img home png img td tr tr td width 70 the b docker image b a href https github com ousamabenyounes docker yellowlabtools target blank ousamabenyounes docker yellowlabtools a br your own private instance of yellow lab tools on your computer td td width 30 img src doc img docker logo png img td tr tr td width 70 the b cli b command line interface a href https github com yellowlabtools yellowlabtools wiki command line interface target blank doc here a td td width 30 img src doc img ylt cli animated gif img td tr tr td width 70 the b nodejs b package a href https github com yellowlabtools yellowlabtools wiki nodejs module target blank doc here a td td width 30 img src doc img npm logo png img td tr tr td width 70 the b public api b a href https github com yellowlabtools yellowlabtools wiki public api target blank doc here a br allows you to launch runs from any language td td width 30 img src doc img api logo png img td tr table how it works the tool loads the given url and collects various metrics and statistics with the help of phantomas https github com macbre phantomas these metrics are then categorized and transformed into scores it also gives in depth details so developpers can fix the detected issues by the way it s free because i am a geek not businessmen in return you can add a on github it will boost my motivation to add more awesome features example dashboard screenshot doc img screenshot png install your own private instance if your project is not accessible from outside or if you want to test your localhost you might want to run your own instance of yellow lab tools the classical way is to clone the ylt server s github repository and run it on linux or macos the documentation is here https github com yellowlabtools yellowlabtools wiki install your private server the new recommended solution is to run yellow lab tools inside a docker virtual machine my friend ousama ben younes maintains this ready to use docker image based on alpine https github com ousamabenyounes docker yellowlabtools author ga l m tais i m a webperf freelance follow me on twitter gaelmetais https twitter com gaelmetais i tweet about web performances front end and new versions of yellow lab tools a href https ko fi com gaelmetais target blank img height 35 style border 0px height 46px src https az743702 vo msecnd net cdn kofi3 png v 0 border 0 alt buy me a coffee a i can also help your company about web performances visit my website https www gaelmetais com contributors achraf ben younes achrafbenyounes https github com achrafbenyounes km camlafit https github com camlafit vincent l magikcypress https github com magikcypress ousama ben younes ousamabenyounes https github com ousamabenyounes | front_end |
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chatgpt-film-recommendations | chatgpt film recommendations a simple next js https nextjs org app which generates film recommendations using data from letterboxd https letterboxd com and the chatgpt api https platform openai com docs guides chat entering a letterboxd username will fetch the latest diary entries from their profile s rss feed generate a short description of their taste in films and then generate a list of recommendations | chatgpt letterboxd natural-language-processing recommendation-system prompt-engineering large-language-models gpt-3 gpt-4 llm nextjs | ai |
ewas | ewas english readme en md readme md https sanyuan 1257988864 cos ap beijing myqcloud com img20211122170701 png div align center img style margin auto src https img shields io gitter room sanyuan0704 esbuild web app starter img img style margin auto src https img shields io bundlephobia min ewas cli style plastic img div esbuild web app scaffold esbuild web esbuild web web web js npm npm init ewas esbuild app yarn yarn create ewas esbuild app pnpm pnpm create ewas esbuild app css module postcss scss less stylus vue3 mock svg ts babel swc es5 react cloud music https github com sanyuan0704 react cloud music | front_end |
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Voyager | voyager an open ended embodied agent with large language models div align center website https voyager minedojo org arxiv https arxiv org abs 2305 16291 pdf https voyager minedojo org assets documents voyager pdf tweet https twitter com drjimfan status 1662115266933972993 s 20 python version https img shields io badge python 3 9 blue svg https github com minedojo voyager github license https img shields io github license minedojo voyager https github com minedojo voyager blob main license https github com minedojo voyager assets 25460983 ce29f45b 43a5 4399 8fd8 5dd105fd64f2 images pull png div we introduce voyager the first llm powered embodied lifelong learning agent in minecraft that continuously explores the world acquires diverse skills and makes novel discoveries without human intervention voyager consists of three key components 1 an automatic curriculum that maximizes exploration 2 an ever growing skill library of executable code for storing and retrieving complex behaviors and 3 a new iterative prompting mechanism that incorporates environment feedback execution errors and self verification for program improvement voyager interacts with gpt 4 via blackbox queries which bypasses the need for model parameter fine tuning the skills developed by voyager are temporally extended interpretable and compositional which compounds the agent s abilities rapidly and alleviates catastrophic forgetting empirically voyager shows strong in context lifelong learning capability and exhibits exceptional proficiency in playing minecraft it obtains 3 3 more unique items travels 2 3 longer distances and unlocks key tech tree milestones up to 15 3 faster than prior sota voyager is able to utilize the learned skill library in a new minecraft world to solve novel tasks from scratch while other techniques struggle to generalize in this repo we provide voyager code this codebase is under mit license license installation voyager requires python 3 9 and node js 16 13 0 we have tested on ubuntu 20 04 windows 11 and macos you need to follow the instructions below to install voyager python install git clone https github com minedojo voyager cd voyager pip install e node js install in addition to the python dependencies you need to install the following node js packages cd voyager env mineflayer npm install g npx npm install cd mineflayer collectblock npx tsc cd npm install minecraft instance install voyager depends on minecraft game you need to install minecraft game and set up a minecraft instance follow the instructions in minecraft login tutorial installation minecraft instance install md to set up your minecraft instance fabric mods install you need to install fabric mods to support all the features in voyager remember to use the correct fabric version of all the mods follow the instructions in fabric mods install installation fabric mods install md to install the mods getting started voyager uses openai s gpt 4 as the language model you need to have an openai api key to use voyager you can get one from here https platform openai com account api keys after the installation process you can run voyager by python from voyager import voyager you can also use mc port instead of azure login but azure login is highly recommended azure login client id your client id redirect url https 127 0 0 1 auth response secret value optional your secret value version fabric loader 0 14 18 1 19 the version voyager is tested on openai api key your api key voyager voyager azure login azure login openai api key openai api key start lifelong learning voyager learn if you are running with azure login for the first time it will ask you to follow the command line instruction to generate a config file for azure login you also need to select the world and open the world to lan by yourself after you run voyager learn the game will pop up soon you need to 1 select singleplayer and press create new world 2 set game mode to creative and difficulty to peaceful 3 after the world is created press esc key and press open to lan 4 select allow cheats on and press start lan world you will see the bot join the world soon resume from a checkpoint during learning if you stop the learning process and want to resume from a checkpoint later you can instantiate voyager by python from voyager import voyager voyager voyager azure login azure login openai api key openai api key ckpt dir your ckpt dir resume true run voyager for a specific task with a learned skill library if you want to run voyager for a specific task with a learned skill library you should first pass the skill library directory to voyager python from voyager import voyager first instantiate voyager with skill library dir voyager voyager azure login azure login openai api key openai api key skill library dir skill library trial1 load a learned skill library ckpt dir your ckpt dir feel free to use a new dir do not use the same dir as skill library because new events will still be recorded to ckpt dir resume false do not resume from a skill library because this is not learning then you can run task decomposition notice occasionally the task decomposition may not be logical if you notice the printed sub goals are flawed you can rerun the decomposition python run task decomposition task your task e g craft a diamond pickaxe sub goals voyager decompose task task task finally you can run the sub goals with the learned skill library python voyager inference sub goals sub goals for all valid skill libraries see learned skill libraries skill library readme md faq if you have any questions please check our faq faq md first before opening an issue paper and citation if you find our work useful please consider citing us bibtex article wang2023voyager title voyager an open ended embodied agent with large language models author guanzhi wang and yuqi xie and yunfan jiang and ajay mandlekar and chaowei xiao and yuke zhu and linxi fan and anima anandkumar year 2023 journal arxiv preprint arxiv arxiv 2305 16291 disclaimer this project is strictly for research purposes and not an official product from nvidia | large-language-models embodied-learning open-ended-learning minecraft | ai |
lantern-mobile-single-app-example | flashlight android tester minimal android app to ease flashlight mobile backend development and testing usage firetweet main dir path to tester app dir app make c path to lantern android lib make c path to android tester | front_end |
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muffin | html5 muffin http robray dev muffin img logo github png this is a design focused front end web development template using sass and jekyll muffin takes advantage of common practices from bootstrap http twitter github com bootstrap boilerplate http html5boilerplate com inuit css http inuitcss com and other libaries to let you get straight into coding straight away full site here https robray dev muffin different flavours apple good for single page websites contains twitter botstrap font awesome color me sass blueberry simple jekyll setup for multipage site contains everything in apple jekyll file layout chocolate chip for the developer interested in a fast multipage site contains everything in blueberry yui compression for css and javascript files htaccess file for caching and gzipping svg plugin for jekyll svgeezy js for svg fallback getting started if you re a designer who avoids the terminal command line at all costs and has no interest in opening it up then this isn t really for you joke don t worry it s like two commands you ll be fine 1 install ruby on rails if you re on mac or windows just download railsinstaller http railsinstaller org that does all the hard work 2 if you re using apple do step 4 if not then jump straight to step 5 3 cd http ss64 com osx cd html to your directory 4 install the sass gem annnnnnd you re done dont forget to watch your sass if you want to make changes 5 run bundle and hit enter 6 run jekyll serve watch or jekyll serve w to make changes to the html and i think that s it enjoy running sass to watch your sass just run sh watch sh if you files are in a different directory you ll have to edit watch sh accordingly sass watch where your scss file is scss where you want your css to go css style compressed using chocolate chip 1 download install node js http nodejs org download it s as simple as running an executable on windows and mac 2 install gulp npm install g gulp 3 cd into your directory and install all the dependencies npm install 4 unfortunately you ll need two terminal command line windows or tabs to get this going from here on 5 in one of the windows to watch jekyll run jekyll serve watch 6 in the second one to watch for css and js changes run gulp watch 7 and that should be it let me know if you run into any issues license muffin is licensed under the license http licence visualidiot com you the licensee are hereby granted free usage in both personal and commerical environments without any obligation of attribution or payment monetary or otherwise the licensee is free to use copy modify publish distribute sublicence and or merchandise the work subject to the licensee inflecting a positive message unto someone this includes but is not limited to smiling being nice saying thank you assisting other persons or any similar actions percolating the given concept the above copyright notice serves as a permissions notice also and may optionally be included in copies or portions of the work the work is provided as is without warranty or support express or implied the author s are not liable for any damages misuse or other claim whether from or as a consequence of usage of the given work todos get gulp livereload to work in chocolate chip | front_end |
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iotex-bootstrap | iotex delegate manual a href https iotex io devdiscord target blank img src https github com iotexproject halogrants blob 880eea4af074b082a75608c7376bd7a8eaa1ac21 img btn discord svg height 36px a index release status status join mainnet mainnet join mainnet without using docker mainnet native join testnet testnet interact with blockchain ioctl enable logrotate log operate your node ops upgrade your node one line upgrader upgrade q a qa a name status release status here are the software versions we use mainnet v1 11 2 a name testnet join testnet to start and run a testnet node please click join testnet https github com iotexproject iotex bootstrap blob master readme testnet md a name mainnet join mainnet this is the recommended way to start an iotex node 1 pull the docker image docker pull iotex iotex core v1 11 2 2 set the environment with the following commands mkdir p iotex var cd iotex var export iotex home pwd mkdir p iotex home data mkdir p iotex home log mkdir p iotex home etc curl https raw githubusercontent com iotexproject iotex bootstrap v1 11 2 config mainnet yaml iotex home etc config yaml curl https raw githubusercontent com iotexproject iotex bootstrap v1 11 2 genesis mainnet yaml iotex home etc genesis yaml curl https raw githubusercontent com iotexproject iotex bootstrap v1 11 2 trie db patch iotex home data trie db patch 3 edit iotex home etc config yaml look for externalhost and producerprivkey uncomment the lines and fill in your external ip and private key if you leave producerprivkey empty your node will be assgined with a random key 4 start from a snapshot rather than sync from the genesis block run the following commands curl l https t iotex me mainnet data latest iotex home data tar gz tar xzf data tar gz or download from google cloud curl l https storage googleapis com blockchain archive mainnet data latest tar gz iotex home data tar gz tar xzf data tar gz we will update the snapshot once a day for advanced users there are three options to consider option 1 if you plan to run your node as a gateway gateway please use the snapshot with index data https t iotex me mainnet data with idx latest optional 2 if you only want to sync chain data from 0 height without relaying on legacy delegate election data from ethereum you can setup legacy delegate election data with following command bash curl l https storage googleapis com blockchain golden poll mainnet tar gz iotex home poll tar gz tar xzf iotex home poll tar gz directory iotex home data optional 3 if you want to sync the chain from 0 height and also fetching legacy delegate election data from ethereum please change the gravitychainapis in config yaml to use your infura key with ethereum archive mode supported or change the api endpoint to an ethereum archive node which you can access 5 run the following command to start a node docker run d restart on failure name iotex p 4689 4689 p 8080 8080 v iotex home data var data rw v iotex home log var log rw v iotex home etc config yaml etc iotex config override yaml ro v iotex home etc genesis yaml etc iotex genesis yaml ro iotex iotex core v1 11 2 iotex server config path etc iotex config override yaml genesis path etc iotex genesis yaml now your node should be started successfully if you want to also make your node be a gateway gateway which could process api requests from users use the following command instead docker run d restart on failure name iotex p 4689 4689 p 14014 14014 p 15014 15014 p 8080 8080 v iotex home data var data rw v iotex home log var log rw v iotex home etc config yaml etc iotex config override yaml ro v iotex home etc genesis yaml etc iotex genesis yaml ro iotex iotex core v1 11 2 iotex server config path etc iotex config override yaml genesis path etc iotex genesis yaml plugin gateway 6 make sure tcp ports 4689 8080 also 14014 if used are open on your firewall and load balancer if any a name mainnet native join mainnet without using docker this is not the preferred way to start an iotex node 1 set the environment with the following commands same as join mainnet mainnet step 2 2 build server binary git clone https github com iotexproject iotex core git cd iotex core git checkout v1 11 2 optional export goproxy https goproxy io go mod download make clean build all cp bin server iotex home iotex server 3 edit configs same as join mainnet mainnet step 3 also make sure you update all db paths in config yaml to correct location if you don t put them under var data 4 start from a snapshot same as join mainnet mainnet step 4 5 run the following command to start a node nohup iotex home iotex server config path iotex home etc config yaml genesis path iotex home etc genesis yaml now your node should be started successfully if you want to also make your node be a gateway gateway which could process api requests from users use the following command instead nohup iotex home iotex server config path iotex home etc config yaml genesis path iotex home etc genesis yaml plugin gateway 6 make sure tcp ports 4689 8080 also 14014 if used are open on your firewall and load balancer if any a name ioctl interact with blockchain ioctl you can install ioctl a command line interface for interacting with iotex blockchain curl https raw githubusercontent com iotexproject iotex core master install cli sh sh you can point ioctl to your node if you enable the gateway gateway plugin ioctl config set endpoint localhost 14014 insecure or you can point it to our api nodes mainnet secure api iotex one 443 mainnet insecure api iotex one 80 if you want to set an insecure endpoint you need to add insecure option generate key ioctl account create get consensus delegates of current epoch ioctl node delegate refer to cli document https github com iotexproject iotex core blob master ioctl readme md for more details other commonly used commands claim reward ioctl action claim amountiniotx l 10000 p 1 s ioaddress alias exchange iotex native token to erc20 token on ethereum via tube service ioctl action invoke io1p99pprm79rftj4r6kenfjcp8jkp6zc6mytuah5 amountiniotx s ioaddress alias l 400000 p 1 b d0e30db0 click iotex tube docs https github com iotexproject iotex bootstrap blob master tube tube md for detailed documentation of the tube service json rpc api babel service our node supports most of methods of ethereum s json rpc protocol https eth wiki json rpc api the local endpoint of babal service is localhost 15014 on the gateway node additional method support could be requested here https github com iotexproject iotex core issues a name log enable logrotate logrotate is pre installed when building the image but crond daemon to execute scheduled commands doesn t automatically start when the docker contaiter starts in alpine linux to enable log logrotation docker exec it container crond b is expected to be run after the container starts a name ops operate your node checking node log container logs can be accessed with the following command docker logs iotex content can be filtered with docker logs f tail 100 iotex grep color e epoch height error rolldposctx stop and remove container when starting the container with name iotex you must remove the old container before a new build docker stop iotex docker rm iotex pause and restarting container container can be stopped and restarted with docker stop iotex docker start iotex a name upgrade upgrade your node one line upgrader make sure you have iotex home already set up and all the files configs dbs etc are placed in the right locations please refer to the join mainnet section to upgrade mainnet node use following command by default it will upgrade to latest mainnet version bash sudo bash if your docker requires root privilege bash curl s https raw githubusercontent com iotexproject iotex bootstrap master scripts setup fullnode sh to enable gateway gateway on mainnet bash sudo bash if your docker requires root privilege bash curl s https raw githubusercontent com iotexproject iotex bootstrap master scripts setup fullnode sh plugin gateway to stop auto upgdrade cron job and iotex server program you can run bash sudo bash if your docker requires root privilege bash curl s https raw githubusercontent com iotexproject iotex bootstrap master scripts stop fullnode sh a name gateway gateway plugin node with gateway plugin enabled will perform extra indexing to serve api requests of more detail chain information such as number of actions in a block or query actions by hash a name qa q a please refer here https github com iotexproject iotex bootstrap wiki q a for q a | iotex | server |
drogue-cloud | drogue iot cloud ci https github com drogue iot drogue cloud workflows ci badge svg https github com drogue iot drogue cloud actions query workflow 3a 22ci 22 github release latest semver https img shields io github v tag drogue iot drogue cloud sort semver https github com drogue iot drogue cloud releases matrix https img shields io matrix drogue iot matrix org https matrix to drogue iot matrix org cloud native iot drogue iot cloud is an iot edge connectivity layer that allows iot devices to communicate with a cloud platform over various protocols it acts both as data ingestion plane and as control plane in short drogue iot cloud takes care of the data on the cloud side overview diagram docs modules root images overview svg it offers iot friendly protocol endpoints and apis protocol normalization based on cloud events management of device credentials and properties apis a cli and a graphical console to manage devices and data flows it is built on top of kubernetes for running workloads cloud events for normalizing transport protocols apache kafka for persisting events keycloak for single sign on you can learn more about the architecture https book drogue io drogue cloud dev architecture index html in our documentation https book drogue io protocol support table tr th device endpoints th th integration apis th tr tr td http generic http the things network v2 v3 mqtt v3 1 1 v5 coap td td kafka websocket mqtt v3 1 1 v5 td tr table getting started you can easily play with drogue cloud using our public sandbox https sandbox drogue cloud https sandbox drogue cloud for users download a release from the releases page https github com drogue iot drogue cloud releases and follow our quick start instructions https github com drogue iot drogue cloud blob main installer readme md or take a look at the deployment instructions https book drogue io drogue cloud dev deployment and read about the deployment in more detail for developers if you know what you are doing and have a cluster running and a clone of the repository you can deploy the latest version of drogue cloud by executing the following command make deploy cluster minikube kind openshift useful links blog https blog drogue io documentation https book drogue io drogue cloud dev index html workshops https book drogue io drogue workshops index html public sandbox https sandbox drogue cloud contributing see the document contributing md contributing md community drogue iot matrix chat room https matrix to drogue iot matrix org we have bi weekly calls at 9 00 am gmt check the calendar https calendar google com calendar u 0 embed src ofuctjec399jr6kara7n0uidqg group calendar google com pli 1 to see which week we are having the next call and feel free to join drogue iot forum https discourse drogue io drogue iot youtube channel https www youtube com channel uc7gzuy2hkidvy6v 3qzfcca follow us on twitter https twitter com drogueiot | iot serverless kubernetes knative cloud-events protocol-normalization | server |
computer-vision-with-python | computer vision with python belajar computer vision menggunakan python prerequisites pernah menggunakan python r java matlab bahasa pemrograman lainnya atau bahkan excel i m not a python geek setidaknya anda pernah membuat fibonacci sequence dengannya yang sudah termasuk didalamnya logical and structured thinking memahami konsep sederhana data structure memahami konsep sederhana aljabar linear pemasangan installation dan penggunaan pertama silahkan download anaconda https anaconda com download install sesuai dengan sistem operasi masing masing setelah itu clone download repositori ini ke folder anda inginkan menggunakan anaconda navigator macos dan linux buka terminal kemudian ketik sh anaconda navigator windows buka launcher windows kemudian pilih program anaconda navigator tampilan anaconda navigator akan seperti ini anaconda navigator media readme anaconda jpg silahkan launch jupyter lab jupyter notebook kemudian navigasi ke folder yang telah anda simpan menggunakan terminal atau anaconda prompt macos dan linux buka terminal kemudian ketik sh jupyter lab atau sh jupyter notebook windows buka anaconda prompt kemudian ketik sh c jupyter lab atau sh c jupyter notebook kemudian navigasi ke folder yang telah anda simpan library python yang digunakan silakan lihat requirements txt tampilan jupyter lab jupyter notebook media readme jupyterlab jpg tampilan jupyter notebook jupyter notebook media readme jupyternotebook jpg dataset dataset yang digunakan the mnist database of handwritten digits bisa dilihat disini http yann lecun com exdb mnist inspirasi materi repositori ini terinspirasi dari beberapa repository pembelajaran computer vision dan image processing lisensi didistribusikan menggunakan lisensi mit silahkan melihat license untuk lebih lanjut kontribusi 1 silahkan di fork 2 buat branch baru git checkout b feature baz 3 silahkan isi nama anda beserta tautan github anda di contributors md 4 commit perubahan yang ada git commit am add some baz 5 push pada branch yang sudah ada git push origin feature baz 6 buat sebuah pull request baru | deep-learning computer-vision python image-processing neural-network machine-learning convolutional-neural-network | ai |
kometa-app-backend | kometa app backend kometa app backend group project for the full stack web development bootcamp at the bridge | server |
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Browsers | browsers a collection of aliases for browsers services and virtual machine images can be found in the browsers folder and added to your dock for easy launching alt text dockfolder download and run alias to build the applications browsers forlder of shortcuts for quick access from your dock it searches virtual machines for ie vms see internet explorer vm below for automated scripts to set these up an alias of a vmware fusion vms will display a broken preview icon instead of the expected app icon to workaround this the alias is replaced with a script to launch the vm image you may need to change you terminal settings to prevent lingering terminal windows from staying open launch dev tools mac command option i android http developer android com vm download from developer android com http developer android com sdk index html or use the compiled app version android app android app comes with android 4 3 made with appify https gist github com mathiasbynens 674099 create and run an android virtual device avd 1 go to tools manage avds 2 click new 3 enter avd name device target and any other additional setting you need click ok 4 select avd from list and click start blackberry http developer blackberry com vm vmware fusion is required virtual machines can be found at developer blackberry com http developer blackberry com devzone develop simulator simulator installing html chrome http www google com chrome mac chrome http www chromium org getting involved dev channel stable dev canary chrome incognito google 20chrome 20incognito app direct opening of an incognito window source http ente limmat ch ftp pub software applications googlechromeincognito chromium http www macupdate com app mac 36244 chromium the updater chromatic http www macupdate com app mac 32856 chromatic chromium benchmark google 20chrome 20incognito app open chromium with enable benchmarking enable stats table enable extension timeline api made with appify https gist github com mathiasbynens 674099 firefox https firefox com mac firefox https firefox com firefox beta https www mozilla org en us firefox channel firefox aurora https www mozilla org en us firefox aurora firefox nightly https nightly mozilla org firefoxdeveloperedition https www mozilla org en us firefox developer firefox os https developer mozilla org en us docs tools firefox os simulator firefox boot2gecko w gaia https ftp mozilla org pub mozilla org b2g nightly latest mozilla central source https github com mozilla b2g gaia add on firefox os simulator https addons mozilla org en us firefox addon firefox os simulator internet explorer http www modern ie vm to run ie a virtual machine is required ie6 ie11 are available 1 virtual box xdissent ievms https github com xdissent ievms curl s https raw github com xdissent ievms master ievms sh bash 1 vmware fusion willfarrell ievms https github com willfarrell ievms curl s https raw github com willfarrell ievms master ievms sh bash 1 parallels visit modern ie http www modern ie en us virtualization tools downloads to download vms ios http developer apple com library ios documentation ides conceptual ios simulator guide introduction introduction html vm 1 install xcode https itunes apple com ca app xcode id497799835 mt 12 1 go to xcode preferences downloads 1 install command line tools and ios simulator applications xcode app contents developer platforms iphonesimulator platform developer applications iphone simulator app opera http www opera com mac opera http www opera com opera next http www opera com developer next opera developer http www opera com developer opera mobile http www opera com developer mobile emulator more tools can be found at dev opera com http dev opera com phantomjs http phantomjs org terminal opens terminal with phantomjs ready to go made with appify https gist github com mathiasbynens 674099 appify ui https github com subtlegradient appify ui requires phantomjs binaries to be installed to install run brew update brew install phantomjs or visit phantomjs org download html http phantomjs org download html if you don t use brew http mxcl github io homebrew there is an installer built in if you like automation safari http www apple com safari mac safari http www apple com downloads it s built into mac os x webkit http nightly webkit org other less popular browsers arora https code google com p arora mac camino http caminobrowser org download mac a slimed down version of firefox omniweb http www omnigroup com more mac omniweb is a powerful award winning feature rich alternative to the standard web browser better organization and more fun with the original side tabbed browser requires os x v10 4 8 seamonkey http www seamonkey project org mac stainless http www stainlessapp com mac torbrowser https www torproject org download download mac for testing site using tor virtual machines oracle vm virtualbox https www virtualbox org vmware fusion http www vmware com products fusion overview html vagrant http www vagrantup com docker http docker io the linux container engine third party services browserstack http www browserstack com start a fluid app of browserstack com dashboard download browserstack app sause labs https saucelabs com can be downloaded from the mac store https itunes apple com ca app sauce id564308477 mt 12 continuous integration ci karma http karma runner github io 0 8 index html the main goal for karma is to bring a productive testing environment to developers an environment where they don t have to set up many things and rather just write the code and get an instant feedback because getting a quick feedback is what makes you productive and creative requires nodejs http nodejs org download and works great with grunt http gruntjs com getting started travis ci https travis ci org a hosted continuous integration service for the open source community jenkins http jenkins ci org an extendable open source continuous integration server mac mini ci https github com angular ci angularjs org shell scripts and configuration files used by the google angularjs team video https www youtube com watch v bnpv7npurhe slides https docs google com presentation d 1 j264f0q8k3nzionqspx7fhkd2e8xpkikitxz2qhn28 dockfolder dock folder png browser alias folder boxen packages all browsers https github com boxen puppet browsers android https github com boxen puppet android blackberry none yet chrome https github com boxen puppet chrome firefox https github com boxen puppet firefox internet explorer none yet ios included in mac xcode opera https github com boxen puppet opera phantomjs https github com boxen puppet phantomjs safari already include on mac torbrowser not build yet virtual box https github com boxen puppet virtualbox vagrant https github com boxen puppet vagrant vmware fusion not built yet browserstack not built yet sause labs not built yet jenkins https github com boxen puppet jenkins browser extensions privacy security google c hrome mozilla f irefox microsoft i nternet explorer o pera apple s afari cf o adblock plus http adblockplus org en the free adblock tool for chrome blocks annoying video ads on youtube facebook ads banners and much more cf s 1password https agilebits com extensions mac index html 1password for mac extension cf os disconnect https disconnect me protect your privacy cfios ghostery http www ghostery com protect your privacy see who s tracking your web browsing with ghostery cfios google analytics opt out browser add on https tools google com dlpage gaoptout tells the google analytics javascript not to send information to google analytics cf https everywhere https www eff org https everywhere encrypt the web automatically use https security on many sites cf mailvelope http www mailvelope com secure email with openpgp encryption for webmail cfios terms of service didn t read http tosdr org get information instantly about websites terms of service and privacy policies with ratings and summaries from the www tosdr org chrome dev extensions https chrome google com webstore category ext 11 web development adobe edge inspect cc https chrome google com webstore detail adobe edge inspect ijoeapleklopieoejahbpdnhkjjgddem wirelessly connect multiple ios android devices to your computer synchronously browse inspect debug on devices angularjs batarang https chrome google com webstore detail angularjs batarang ighdmehidhipcmcojjgiloacoafjmpfk extends the developer tools adding tools for debugging and profiling angularjs applications blitz https chrome google com webstore detail blitz dfdmpnkoalkolclnaipnopkooilhnped instantly load test your app from around the world with just a few clicks no scripting and no test creation chrome logger https chrome google com webstore detail chrome logger noaneddfkdjfnfdakjjmocngnfkfehhd for server side logging and debugging in chrome console chrome sniffer https chrome google com webstore detail chrome sniffer homgcnaoacgigpkkljjjekpignblkeae detect web applications and javascript libraries run on browsing website clear cache https chrome google com webstore detail clear cache cppjkneekbjaeellbfkmgnhonkkjfpdn edit this cookie https chrome google com webstore detail edit this cookie fngmhnnpilhplaeedifhccceomclgfbg edit this cookie is a cookie manager you can add delete edit search protect and block cookies extensions reloader https chrome google com webstore detail extensions reloader fimgfedafeadlieiabdeeaodndnlbhid reload all unpacked extensions using the extension s toolbar button or by browsing to http reload extensions firephp4chrome https chrome google com webstore detail firephp4chrome gpgbmonepdpnacijbbdijfbecmgoojma show firephp log messages in the chrome developer console github travis https chrome google com webstore detail github 20travis klbmicjanlggbmanmpneloekhajhhbfb display build status next to the project name on github google analytics opt out https chrome google com webstore detail google analytics opt out fllaojicojecljbmefodhfapmkghcbnh tells the google analytics javascript not to send information to google analytics grunt devtools https chrome google com webstore detail grunt devtools fbiodiodggnlakggeeckkjccjhhjndnb hl en extends the developer tools adding tools for grunt jenkins notifier for chrome https chrome google com webstore detail jenkins notifier for chro mnjbjjllbclkpnebaddhkoonjelmiekm jenkins notifier for chrome is an unofficial extension for jenkins http jenkins ci org this extension notifies you of jsonview https chrome google com webstore detail jsonview chklaanhfefbnpoihckbnefhakgolnmc validate and view json documents livereload https chrome google com webstore detail livereload jnihajbhpnppcggbcgedagnkighmdlei provides chrome browser integration for the official livereload apps mac windows and third parties like guard livereload and my travis https chrome google com webstore detail my travis ddlafmkcenhiahiikbgjemcbdengmjbg monitor your projects builds from travis ci within chrome octotree https chrome google com webstore detail octotree bkhaagjahfmjljalopjnoealnfndnagc folder view of github repo tree page benchmarker https chrome google com webstore detail page benchmarker channimfdomahekjcahlbpccbgaopjll details hl en chromium page benchmarker pagespeed insights by google https chrome google com webstore detail pagespeed insights by goo gplegfbjlmmehdoakndmohflojccocli pagespeed insights analyzes the performance of your web pages and provides suggestions to make them faster pendule https chrome google com webstore detail pendule gbkffbkamcejhkcaocmkdeiiccpmjfdi web developer tools for chrome pretty beautify javascript https chrome google com webstore detail pretty beautiful javascri piekbefgpgdecckjcpffhnacjflfoddg automatically makes javascript files pretty and beautiful postman rest client https chrome google com webstore detail postman rest client fdmmgilgnpjigdojojpjoooidkmcomcm hl en responsive inspector https chrome google com webstore detail responsive inspector beta memcdolmmnmnleeiodllgpibdjlkbpim responsive inspector allows inspecting page media queries ripple emulator https chrome google com webstore detail ripple emulator beta geelfhphabnejjhdalkjhgipohgpdnoc a browser based html5 mobile application development and testing tool speed tracer https chrome google com webstore detail speed tracer by google ognampngfcbddbfemdapefohjiobgbdl get insight into the performance of your web applications yslow https chrome google com webstore detail yslow ninejjcohidippngpapiilnmkgllmakh make your pages faster with yahoo s page performance tool firefox dev add ons https addons mozilla org en us firefox firefox os simulator https people mozilla com myk r2d2b2g livereload http feedback livereload com knowledgebase articles 86242 how do i install and use the browser extensions safari dev extensions http extensions apple com livereload http feedback livereload com knowledgebase articles 86242 how do i install and use the browser extensions | front_end |
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keychain | important github contributors please apply your patches to keychain sh not the generated keychain script which we are now including in the git repo to facilitate the distribution of release archives direct from github all development work will be done on the devel branch and will only be merged with the master branch when a new release is made this should allow the generated files keychain man pages spec file to remain in sync on the master branch but no guarantees are made except for the tagged release they will be regenerated for official release archives only those tagged with the release version anyone using or contributing to the devel branch should assume the generated files are out of date and regenerate locally if needed thanks introduction to keychain official documentation for keychain can be found on the official keychain wiki page http www funtoo org keychain keychain helps you to manage ssh and gpg keys in a convenient and secure manner it acts as a frontend to ssh agent and ssh add but allows you to easily have one long running ssh agent process per system rather than the norm of one ssh agent per login session this dramatically reduces the number of times you need to enter your passphrase with keychain you only need to enter a passphrase once every time your local machine is rebooted keychain also makes it easy for remote cron jobs to securely hook in to a long running ssh agent process allowing your scripts to take advantage of key based logins | front_end |
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spacy_nlp | spacy nlp made easy examples of using and implementing nlp tasks using spacy https www analyticsvidhya com blog 2017 04 natural language processing made easy using spacy e2 80 8bin python | nlp spacy python | ai |
nrcpp | nrcpp front end c compiler developed on visual studio 6 0 during 2002 2005 | front_end |
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design-system | marklogic ui component library react component library that extends ant design installing the library npm install save marklogic ui library using the component library setup your application repo to handle custom ant design theming https ant design docs react use with create react app advanced guides copy config overrides js from playground into application repo add ant design css file to app node modules antd dist antd css add minifed marklogic ui css file to app path to node modules marklogic ui library dist styles min css jsx import react from react import mlbutton from marklogic ui library const app return mlbutton submit mlbutton developing ui components install dependencies npm run install all start rollup listens for changes for components in src folder root directory npm start start playground import and test new components here cd playground npm start playground localhost 3000 add new components in the root src folder add css to root src styles scss file import export component in root src index js create stories for the component in the root stories folder viewing ui components this repo uses storybook to view components and provide usage guidelines and api documentation install dependencies npm run install all start storybook npm run storybook storybook localhost 6006 publishing static version of storybook build storybook npm run build storybook static files will be in the storybook dist folder publishing the library to npm make sure you are logged in to npm update root package json version needs to increase everytime it is published build minified css and publish library to npm npm publish | os |
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micro-services-tutorial-iot | nearform https rawgit com nearform msworkshop master assets banner svg developing microservices this workshop will walk you through creating and composing a set of microservices in node js using fuge docker and docker compose supports node 4 x tested on win7 win10 osx linux note this is a beginners level workshop whilst you should be comfortable with node js modules and applications and have a basic understanding of docker and it s principles we will be helping you through the basics this workshop presents a series of fairly simple challenges to help you get up to speed with these technologies the app the app you re building is a sensor fed chart that provides realtime data from a dummy sensor this app is broken down into a number of individual services each with its own well defined concern as outlined in this diagram image docs target png frontend a simple web app that uses jquery rickshaw charts and websockets to show a realtime graph of data being emitted by our sensor this app has an api which is included in the same microservice who s sole job is to talk to and read from other microservices actuator a small microservice that causes reads on the sensor based on an offset sensor a dummy temperature sensor that sends out varying values based on what it receives from the actuator serialisation a service that handles reads and writes in serial fashion to the database uses websocket stream to update the web app and thus the graph in real time broker a robust messaging layer build for iot based devices we use this to wire up the actuator serialiser and sensor in a loosely coupled fashion influx a database in a container that the serialiser uses for robust storage of data once we have built the application it should look a bit like this image docs screen png the libraries the system uses the following libraries and technologies rickshaw charts a charting library for the web http code shutterstock com rickshaw express a http web server library http expressjs com websocket stream a web socket streams implementation for realtime communication to the browser https www npmjs com package websocket stream browserify a module to let you require modules client side by bundling up dependencies http browserify org seneca a microservices library http senecajs org mosca mqtt an mqtt broker that enables robust message particularly suited to iot https github com mcollina mosca influxdb a time series database particularly suited to time sensitive data https influxdb com fuge a microservice development environment https github com apparatus fuge docker a container engine https www docker com setting up to complete this workshop you will need node js and some supporting tools installed on your laptop along with a working docker installation with an influxdb image you should follow the instruction for each component to get set up node js go to https nodejs org en and download and install the latest stable build for your system fuge once you have installed node js fuge may be installed by running npm install g fuge note to work through this workshop on linux please set proxy none in the fuge config js for each step curl windows does not come with curl included in cmd exe if you are using windows please install curl ensuring you select the version that matches your installed version of windows curl can be found at https curl haxx se download html please use the windows generic version if using cmd exe docker go to https www docker com products docker toolbox and download and install the latest stable version of docker toolbox for your platform once you have the toolbox installed start the default machine docker machine start default set your shells environment using eval docker machine env default on windows for cmd exe use for f tokens i in docker machine exe env do i to set the environment more details here https docs docker com machine reference env confirm that all is well by running docker ps this tutorial uses a docker influx db container https hub docker com r tutum influxdb you should pull this container using the following command docker pull tutum influxdb you should also pull a node js container using docker pull node once you have the following complete its time to move to step0 workshop you should clone this repository to your local machine git clone git github com nearform micro services tutorial iot git you should then setup the repository by installing required node modules cd micro services tutorial iot npm install next up step0 step0 readme md need help we are as ever your humble servants and happy to take any questions matteocollina https twitter com matteocollina pelger https twitter com pelger mcdonnelldean https twitter com mcdonnelldean davidmarkclem https twitter com davidmarkclem wpreul https twitter com wpreul docker cheat sheet https github com wsargent docker cheat sheet | server |
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mtkernel_3 | t kernel 3 0 t kernel 3 0 is a real time os for small scale embedded systems and iot edge nodes it is compliant with ieee standard 2050 2018 and has high compatibility with t kernel 2 0 source code has been reviewed and rewritten so that porting to latest microprocessors has become easier it is not tied to particular development environment and is usable with many such environments t kernel3 0 is developed by tron forum the source code of t kernel 3 0 is released as open source under the condition of t license2 2 see below for t license 2 2 docs tef000 219 200401 pdf the projects for various development environments are published below t kernel 3 0 development environment collection https github com tron forum mtk3 devenv for inquiries to the tron forum visit the following website tron forum https www tron org https www tron org t kernel 3 0 iot os ieee 2050 2018 t kernel 2 0 t kernel 3 0 t kernel 3 0 t license2 2 t license2 2 docs tef000 219 200401 pdf t kernel 3 0 development environment collection https github com tron forum mtk3 devenv hp https www tron org https www tron org | rtos | os |
slambench1 | readme slambench release candidate 1 2 build status https travis ci org pamela project slambench svg branch master https travis ci org pamela project slambench copyright c 2014 university of edinburgh imperial college university of manchester developed in the pamela project epsrc programme grant ep k008730 1 what is it for a slam performance benchmark that combines a framework for quantifying quality of result with instrumentation of execution time and energy consumption it contains a kinectfusion http research microsoft com pubs 155378 ismar2011 pdf implementation in c openmp opencl and cuda inspired by https github com gerhardr it offers a platform for a broad spectrum of future research in jointly exploring the design space of algorithmic and implementation level optimisations target desktop laptop mobile and embedded platforms tested on ubuntu os x and android on android only the benchmark application has been ported see later if you use slambench in scientific publications we would appreciate citations to the following paper http arxiv org abs 1410 2167 l nardi b bodin m z zia j mawer a nisbet p h j kelly a j davison m luj n m f p o boyle g riley n topham and s furber introducing slambench a performance and accuracy benchmarking methodology for slam in ieee intl conf on robotics and automation icra may 2015 arxiv 1410 2167 bibtex entry latex inproceedings nardi2015 author nardi luigi and bodin bruno and zia m zeeshan and mawer john and nisbet andy and kelly paul h j and davison andrew j and luj an mikel and o boyle michael f p and riley graham and topham nigel and furber steve title introducing slambench a performance and accuracy benchmarking methodology for slam booktitle ieee intl conf on robotics and automation icra year 2015 month may note arxiv 1410 2167 how do i get set up on ubuntu if you want to set up for os x go to the relevant section dependencies required toon maths library cmake 2 8 building tool install toon and cmake shell git clone git github com edrosten toon git cd toon configure sudo make install sudo apt get install cmake with ubuntu you might need to install the build essential package using sudo apt get update sudo apt get install build essential optional openmp for the openmp version cuda for the cuda version opencl for the opencl version opencl 1 1 or greater opengl glut used by the graphical interface openni for the live mode and for oni2raw tool which convert an openni file to the slambench internal format freenect drivers in order to use the live mode pkgconfig qt5 using opengl used by the qt graphical interface not fully required to get a graphical interface python numpy use by benchmarking scripts mean max min functions installation of qt5 with an arm board ie arndale odroid on arm board the default release of qt5 was compile using openegl to use the qt interface you will have to compile qt cd wget http download qt project org official releases qt 5 2 5 2 1 single qt everywhere opensource src 5 2 1 tar gz tar xzf qt everywhere opensource src 5 2 1 tar gz cd qt everywhere opensource src 5 2 1 configure prefix local qt no compile examples confirm license release nomake tests nomake examples make make install compilation of slambench then simply build doing make to use qt if you compile the source as explained above you should need to specify the qt install dir cmake prefix path local qt make running slambench the compilation builds 3 application modes which act like wrappers the kernels are the same for all applications 1 benchmark terminal user interface mode for benchmarking purposes 2 main glut gui visualisation mode 3 qmain qt gui visualisation mode each application mode is also declined in 4 different builds implementations c build kfusion kfusion main cpp openmp build kfusion kfusion main openmp opencl build kfusion kfusion main cpp cuda build kfusion kfusion main cuda the makefile will automatically build the executable with satisfied dependencies e g the opencl application version will be built only if the opencl tool kit is available on the system and so on for cuda openmp and qt all application modes and implementations share the same set of arguments plain c compute size ratio default is 1 same size d dump volume filename output volume file f fps default is 0 i input file filename input camera file k camera default is defined by input l icp threshold default is 1e 05 o log file filename default is stdout m mu default is 0 1 p init pose default is 0 5 0 5 0 q no gui disable any gui used by the executable r integration rate default is 1 s volume size default is 2 2 2 t tracking rate default is 1 v volume resolution default is 256 256 256 y pyramid levels default is 10 5 4 z rendering rate default is 4 slambench supports several input streams how to use these inputs is described later icl nuim dataset http www doc ic ac uk ahanda vafric iclnuim html rgb d camera like microsoft kinect or other primesense cameras using the openni interface openni pre recorded file raw format 1 benchmark mode use this mode for benchmarking proposes the output is frame id number of the current frame acquisition input data acquisition elapsed time file reading preprocessing pre processing elapsed time includes kernels mm2meters bilateralfilter tracking tracking elapsed time includes kernels halfsample depth2vertex vertex2normal track reduce and solve integration integration elapsed time includes kernel integrate raycast raycast elapsed time include kernel raycast rendering rendering elapsed time includes kernels renderdepth rendertrack and rendervolume computation pre processing tracking integration raycast this is the total elapsed time for processing a frame but not including the acquiring and the visualisation kernels total computation acquisition rendering this is the total elapsed time for processing one frame including the acquiring and the visualisation kernels x y z estimation of the camera position tracking result tracked this boolean indicates if for the current frame we have not lost the tracking of the camera 1 tracking 0 tracking lost integrated this boolean indicates if the integration step occurs for the current frame depending of the tracking result and of the integration rate how to use the benchmark mode with the icl nuim dataset slambench provides an interface to the icl nuim dataset this enables the accuracy evaluation on a slam implementation via the icl nuim ground truth icl nuim provides 4 trajectories we pick trajectory 2 and show how to use the dataset for the download of each trajectory we recommend 2 gb of space available on the system plain mkdir living room traj2 loop cd living room traj2 loop wget http www doc ic ac uk ahanda living room traj2 loop tgz tar xzf living room traj2 loop tgz cd you can use the icl nuim dataset in its native format or in a raw format with the latter acquiring speed increases raw is the format to be used for benchmarking purposes to generate the raw file plain build kfusion thirdparty scene2raw living room traj2 loop living room traj2 loop raw run slambench plain build kfusion kfusion benchmark cuda i living room traj2 loop raw s 4 8 p 0 34 0 5 0 24 z 4 c 2 r 1 k 481 2 480 320 240 benchmark log you can replace cuda by openmp opencl or cpp in order to check the accuracy of your tracking compared to the ground truth trajectory first download the ground truth trajectory file plain wget http www doc ic ac uk ahanda vafric livingroom2 gt freiburg and then use the following tool plain kfusion thirdparty checkpos py benchmark log livingroom2 gt freiburg get slambench data slambench result 882 positions nuim result 880 positions working position is 880 runtimes are in seconds and the absolute trajectory error ate is in meters the ate measure accuracy check this number to see how precise your computation is acceptable values are in the range of few centimeters tracking min 0 005833 max 0 046185 mean 0 020473 total 18 05721755 integration min 0 003629 max 0 041839 mean 0 021960 total 19 36882799 rendering min 0 018242 max 0 022144 mean 0 018486 total 16 30500085 preprocessing min 0 000633 max 0 002064 mean 0 000719 total 0 63432674 computation min 0 010156 max 0 075946 mean 0 043152 total 38 06037227 total min 0 028520 max 0 094302 mean 0 061724 total 54 44080794 ate min 0 000000 max 0 044235 mean 0 018392 total 16 18503741 acquisition min 0 000069 max 0 000404 mean 0 000086 total 0 07543481 2 main mode this is a gui mode which internally uses glut for the visualisation step we do not suggest to use this mode for benchmarking purposes because the visualisation step can interfere with the computation elapsed time see http arxiv org abs 1410 2167 for more information an example of use of the main application is plain build kfusion kfusion main cpp i downloads living room traj2 loop live mode to run the live mode using a depth sensor you need to connect the sensor and to install the proper drivers here is the procedure with fedora 24 root user yum install libudev devel then as normal user you will compile openni2 git clone https github com occipital openni2 git openni2dev cd openni2dev sed i bak s javadocexe d java javadocexe d java xdoclint none source documentation runme py cd packaging releaseversion py x64 this command output finishes by done then you need to install openni2 cd final mkdir p local openni2 tar xf openni linux x64 2 2 tar bz2 c local openni2 cd local openni2 openni linux x64 2 2 export openni2 include home toky local openni2 openni linux x64 2 2 include export openni2 redist home toky local openni2 openni linux x64 2 2 redist possible error toky localhost packaging releaseversion py x64 creating installer for openni 2 2 x64 traceback most recent call last file releaseversion py line 170 in module subprocess check call make c j calc jobs number platform plat release stdout buildlog stderr buildlog file usr lib64 python2 7 subprocess py line 541 in check call raise calledprocesserror retcode cmd subprocess calledprocesserror command make c j2 platform x64 release returned non zero exit status 2 our advice to fix this error is to manually run the command to see the real problem in this case we have seen libudev h was missing toky localhost packaging make c platform x64 release make entering directory home toky work pamela slambench openni2 make c thirdparty pscommon xnlib source make 1 entering directory home toky work pamela slambench openni2 thirdparty pscommon xnlib source g md mp mt bin intermediate x64 release libxnlib a xnlinuxusb d bin intermediate x64 release libxnlib a xnlinuxusb o c msse3 wall o2 dndebug i include fpic fvisibility hidden werror o bin intermediate x64 release libxnlib a xnlinuxusb o linux xnlinuxusb cpp linux xnlinuxusb cpp 40 21 fatal error libudev h no such file or directory include libudev h compilation terminated buildsystem commoncppmakefile 130 recipe for target bin intermediate x64 release libxnlib a xnlinuxusb o failed make 1 bin intermediate x64 release libxnlib a xnlinuxusb o error 1 make 1 leaving directory home toky work pamela slambench openni2 thirdparty pscommon xnlib source makefile 121 recipe for target thirdparty pscommon xnlib source failed make thirdparty pscommon xnlib source error 2 make leaving directory home toky work pamela slambench openni2 to use a kinect sensor you will need libfreenect git clone https github com openkinect libfreenect git cd libfreenect mkdir build cd build cmake dbuild openni2 driver on make cp l lib openni2 freenectdriver libfreenectdriver so local openni2 openni linux x64 2 2 redist openni2 drivers 3 mainqt mode this is a gui mode which internally uses qt for the visualisation step we do not suggest to use this mode for benchmarking purposes because the visualisation step can interfere with the computation elapsed time see http arxiv org abs 1410 2167 for more information an example of use of the mainqt application is plain build kfusion kfusion qt cpp i downloads living room traj2 loop kernel timings cpp plain kernel timings 1 build kfusion kfusion benchmark cpp s 4 8 p 0 34 0 5 0 24 z 4 c 2 r 1 k 481 2 480 320 240 i living room traj2 loop raw o benchmark 2 cpp log 2 kernels 2 cpp log openmp plain kernel timings 1 build kfusion kfusion benchmark openmp s 4 8 p 0 34 0 5 0 24 z 4 c 2 r 1 k 481 2 480 320 240 i living room traj2 loop raw o benchmark 2 openmp log 2 kernels 2 openmp log opencl it is possible to profile opencl kernels using an opencl wrapper from the thirdparty folder plain ld preload build kfusion thirdparty liboclwrapper so build kfusion kfusion benchmark opencl s 4 8 p 0 34 0 5 0 24 z 4 c 2 r 1 k 481 2 480 320 240 i living room traj2 loop raw o benchmark 2 opencl log 2 kernels 2 opencl log cuda the cuda profiling takes advantage of the nvidia nvprof profiling tool plain nvprof print gpu trace build kfusion kfusion benchmark cuda s 4 8 p 0 34 0 5 0 24 z 4 c 2 r 1 k 481 2 480 320 240 i living room traj2 loop raw o benchmark 2 cuda log 2 tmpkernels 2 cuda log true cat tmpkernels 2 cuda log kfusion thirdparty nvprof2log py kernels 2 cuda log automatic timings when using the icl nuim dataset it is possible to generate the timings using only one command if the living room trajectory files raw trajectory ground truth are not in the directory they will be automatically downloaded in the following command we use trajectory 2 and we generate the timings for the opencl version only make 2 opencl log in order to use all the available languages and for all the available trajectories do the following make 0 cpp log 0 opencl log 0 openmp log 0 cuda log make 1 cpp log 1 opencl log 1 openmp log 1 cuda log make 2 cpp log 2 opencl log 2 openmp log 2 cuda log make 3 cpp log 3 opencl log 3 openmp log 3 cuda log parameters for different dataset trajectories living room these parameters are also present in the makefile and can be used with the command above see automatic timings section trajectory 0 offset 0 34 0 5 0 24 voxel grid size 5 0m max ate 0 1m mean ate 0 01m trajectory 1 offset 0 485 0 5 0 55 voxel grid size 5 0m max ate 0 06m mean ate 0 028m trajectory 2 offset 0 34 0 5 0 24 voxel grid size 4 8m max ate 0 044m mean ate 0 02m trajectory 3 offset 0 2685 0 5 0 4 voxel grid size 5 0m max ate 0 292m mean ate 0 117m file organization plain slambench build will content the compilation and test result cmake cmake module file kfusion kfusion test case include common files including the tested kernel prototypes src cpp c openmp implementation opencl opencl implementation cuda cuda implementation thridparty includes several tools use by makefile and 3rd party headers power measurement currently power measurement is only implemented on hardkernel boards implementing power monitoring using on board sensors odroid xue and odroid xu3 when executing on these platforms a file power rpt is produced at the end of each run this will contain a frame by frame analysis of mean power and time for each frame the power is separated between the cortex a7 cortex a15 gpu and dram running kfusion thirdparty processpowerrpt power rpt will produce total energy used by each resource during the processing of the sequence in the qt interface power is monitored and graphed on a frame by frame basis the graphing will only be visible on a suitably equipped board the power monitor and indeed all statistics logging is on a per sequence basis i e if you open restart a scene file the logging will restart the statistics for a run can be saved by selecting file save power from the main menu when the run has been completed statistics are only recorded when frames are processing pausing the sequence should not impact on the final statistics in the future we propose to add support for power estimation using on chip counters where available this should be included in a future release set up on os x warning slambench is widely tested and fully supported on ubuntu the os x version may result instable we reckon to use the ubuntu version install homebrew bash ruby e curl fsslhttps raw githubusercontent com homebrew install master install install and change the default to gcc and g only clang llvm available otherwise bash brew tap homebrew versions brew install gcc48 sudo mv usr bin gcc usr bin gccorig sudo ln s usr local bin gcc 4 8 usr bin gcc sudo mv usr bin g usr bin g orig sudo ln s usr local bin g 4 8 usr bin g sudo mv usr bin c usr bin c orig sudo ln s usr local bin g 4 8 usr bin c opencl is already installed out of the box no need to install install cuda guide here http docs nvidia com cuda cuda getting started guide for mac os x axzz3l7qjzmec install qt bash brew install qt add to your bashrc bash export path usr local opt qt5 bin path install openni and dependencies needs macports already installed https www macports org install php download openni here http structure io openni and try to run the samples bin simpleviewer program to check if the camera is working bash sudo port install libtool sudo port install libusb universal cd openni install sh in slambench modify cmake findopenni cmake adding to the lib path users lnardi sw openni macosx x64 2 2 samples bin and to the include path users lnardi sw openni macosx x64 2 2 include add to your bashrc bash export dyld library path users lnardi sw openni macosx x64 2 2 samples bin dyld library path known issues failure to track using opencl on amd some issues have been reported on amd platforms we will look into this visualisation using qt may be offset on some platforms notably arm build issues using qt on arm visualisation requires opengl but qt on arm is often built using gles including packages obtained from distribution repo building from source with opengl set to desktop resolves this frame rates on qt gui appear optimistic the rate shown in the status bar is by default the computation time to process the frame and render any output it excludes the time take by the qt interface to display the rendered images and acquire frame performance difference between cuda opencl this is a known issue that we are investigating it s mainly cause by a difference of global work group size between the both version and a major slowdown of cuda in the rendering kernels is cause by the use of float3 instead of float4 which result by an alignment issue this alignment issue doesn t appear in opencl as cl float3 are the same as cl float4 cuda nvprof slows down the performance on some platforms the nvprof instrumentation has a 2x slowdown on mac os for the high level kfusion building blocks so if we run using make 2 cuda log we will not measure the maximum speed of the machine for the high level building blocks it is questionable then if we should keep measuring the cuda high level and low level performance at the same time or in order to be more accurate it is better to run the two measurements in two separate runs os x version has not been widely tested release history release candidate 1 2 to be define bugfix remove extra line of log release candidate 1 1 17 mar 2015 bugfix move bilateralfilterkernel from preprocessing to tracking bugfix wrong interpretation of icp threshold parameter esthetic uniformisation of halfsamplerobustimage kernel performance change float3 to float4 for the rendering kernels no effect on opencl but high performance improvement with cuda performance add a dedicated buffer for the opencl rendering feature add osx support release candidate 1 0 12 nov 2014 first public release | front_end |
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FullStack_Info_HW03 | fullstack info hw03 full stack web development hw03 javascript jquery 1 user sees labeled to do and doing lists which are empty upon page load the lists are visually distinct from each other 2 user can add one to do item at a time using a text input field and an add item button 3 each newly added to do item appears at the top of the to do list not the bottom 4 user can click a button within each to do item to mark it as complete at which point a the to do item disappears from the to do list b the to do item appears at the top of the doing list c items on the doing list should be styled differently than those on the to do list as an additional visual indication of their completion 5 user can click a button within each doing item to unmark it as complete at which point a the doing item disappears from the doing list b the doing item appears at the top of the to do list with the same styling as the other to do list items 6 items on each list remain there until the user marks or unmarks them 7 your site has a title and intuitive labeling or instructions on how to use it 8 you can use only jquery and javascript no additional plugins libraries 9 your js and css code is separate from your html i e there should be no inline css styling or javascript within your html file 10 all of your javascript is commented appropriately 11 your code is clean and concise minimal repetition and unused code extra credit 4 pts 1 add a done section 2 user can move items from the doing list to the done list 3 user can move itesm from the done list to the doing list 4 items on the done list should be styled differently than those on the to do and doing lists as an additional visual indication of their completion | front_end |
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galatea-ui | galatea ui the official ui for interacting with the pygmalion models very early work in progress contributing if you wish to contribute this section has some relevant information tech stack the important parts of the stack are solidjs https www solidjs com for interactivity tailwindcss https tailwindcss com for styling pnpm https pnpm io for dependency management quick start if you have node and pnpm installed and working you can start the development server with bash install dependencies pnpm install start the dev server pnpm start by default it expects the back end to be running locally at http localhost 3000 if that s not the case you can override this with the core api server environment variable code quality checks the project uses eslint for linting prettier for enforcing code style and typescript to check for type errors when opening a pr please make sure you re not introducing any new errors in any of these checks by running bash auto fixes any style problems pnpm run style fix auto fixes any linting problems and prints the ones that can t be auto fixed pnpm run lint fix runs the typescript compiler so any type errors will be shown pnpm run typecheck | front_end |
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Omegabase | omegabase this is a project omegabase which i used to participate in seecs social hackathon and my responsibilities were android development front end and backend my team won this hackathon you can find about this project on one of my teammate s website here http www talhaparacha com entry test app | server |
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edx-harvard-cs50-mobile-app-development-with-react-native | img src https s3 us east 1 amazonaws com storage trumplearning com cmsfiles mobile app development with react native 1xcryefi jpg width 100 h1 cs50 s mobile app development with react native h1 h2 course description h2 this course picks up where cs50 leaves off transitioning from web development to mobile app development with react native br br the course introduces you to modern javascript including es6 and es7 as well as to jsx a javascript extension through hands on projects you ll gain experience with react and its paradigms app architecture and user interfaces the course culminates in a final project for which you ll implement an app entirely of your own design h2 projects h2 h3 project 0 todo app h3 the goal of this project is to practice javascript and its paradigms by creating a todo app this app should be able to add todos and track the number of total todos as well as the number of unchecked todos h3 project 1 pomodoro timer h3 for this project you ll be implementing a pomodoro timer this timer will help people trying to use the pomodoro technique https en wikipedia or wiki pomodoro technique br br it will vibrate to tell you when to take breaks or resume working based on some determined values h3 project 2 movie browser omdb api rest h3 for this project you ll be implementing a movie browser it will allow users to search for movies included in the open movie database http www omdbapi com and view additional information about any movies they select h3 project 3 final trivial otdb api rest h3 for this project you ll be implementing a trivial game it will allow users to play trivial game using the open trivial database https opentdb com | harvard javascript react-native cs50 css html trivial-pursuit pomodoro-timer movie-database vanilla-javascript react | front_end |
pinephone-lvgl-zig | lvgl for pinephone and webassembly with zig and apache nuttx rtos https lupyuen github io images lvgl4 title jpg lvgl for pinephone and webassembly with zig and apache nuttx rtos read the articles nuttx rtos for pinephone feature phone ui in lvgl zig and webassembly https lupyuen github io articles lvgl4 possibly lvgl in webassembly with zig compiler https lupyuen github io articles lvgl3 nuttx rtos for pinephone boot to lvgl https lupyuen github io articles lvgl2 build an lvgl touchscreen app with zig https lupyuen github io articles lvgl can we build an lvgl app in zig for pinephone that will run on apache nuttx rtos can we preview a pinephone app with zig lvgl and webassembly in a web browser to make the ui coding a little easier let s find out lvgl zig app let s run this lvgl zig app on pinephone https github com lupyuen pinephone lvgl zig blob c7a33f1fe3af4babaa8bc5502ca2b719ae95c2ca lvgltest zig l55 l89 how is createwidgetswrapped called createwidgetswrapped will be called by the lvgl widget demo lv demo widgets https github com lvgl lvgl blob v8 3 3 demos widgets lv demo widgets c l96 l198 which we ll replace by this zig version https github com lupyuen pinephone lvgl zig blob c7a33f1fe3af4babaa8bc5502ca2b719ae95c2ca lvgltest zig l32 l41 where s the zig wrapper for lvgl our zig wrapper for lvgl is defined here lvgl zig https github com lupyuen pinephone lvgl zig blob main lvgl zig we also have a version of the lvgl zig code that doesn t call the zig wrapper lvgltest zig https github com lupyuen pinephone lvgl zig blob c7a33f1fe3af4babaa8bc5502ca2b719ae95c2ca lvgltest zig l91 l126 build lvgl zig app nuttx build runs this gcc command to compile lv demo widgets c https github com lvgl lvgl blob v8 3 3 demos widgets lv demo widgets c l96 l198 for pinephone bash make trace cd home pinephone wip nuttx apps graphics lvgl aarch64 none elf gcc c fno common wall wstrict prototypes wshadow wundef werror os fno strict aliasing fomit frame pointer g march armv8 a mtune cortex a53 isystem home pinephone wip nuttx nuttx include d nuttx pipe i home pinephone wip nuttx apps graphics lvgl i home pinephone wip nuttx apps include wno format wno unused variable i lvgl src core i lvgl src draw i lvgl src draw arm2d i lvgl src draw nxp i lvgl src draw nxp pxp i lvgl src draw nxp vglite i lvgl src draw sdl i lvgl src draw stm32 dma2d i lvgl src draw sw i lvgl src draw swm341 dma2d i lvgl src font i lvgl src hal i lvgl src misc i lvgl src widgets dlv assert handler assert 0 lvgl demos widgets lv demo widgets c o lvgl demos widgets lv demo widgets c users luppy pinephone wip nuttx apps graphics lvgl o we ll copy the above gcc options to the zig compiler and build this zig program for pinephone lvgltest zig https github com lupyuen pinephone lvgl zig blob main lvgltest zig here s the shell script bash build the lvgl zig app function build zig go to lvgl zig folder pushd pinephone lvgl zig git pull check that nuttx build has completed and lv demo widgets o exists if f apps graphics lvgl lvgl demos widgets lv demo widgets o then echo error build nuttx first before building zig app exit 1 fi compile the zig app for pinephone armv8 a with cortex a53 todo change to your nuttx project directory zig build obj verbose cimport target aarch64 freestanding none mcpu cortex a53 isystem nuttx include i apps include i apps graphics lvgl i apps graphics lvgl lvgl src core i apps graphics lvgl lvgl src draw i apps graphics lvgl lvgl src draw arm2d i apps graphics lvgl lvgl src draw nxp i apps graphics lvgl lvgl src draw nxp pxp i apps graphics lvgl lvgl src draw nxp vglite i apps graphics lvgl lvgl src draw sdl i apps graphics lvgl lvgl src draw stm32 dma2d i apps graphics lvgl lvgl src draw sw i apps graphics lvgl lvgl src draw swm341 dma2d i apps graphics lvgl lvgl src font i apps graphics lvgl lvgl src hal i apps graphics lvgl lvgl src misc i apps graphics lvgl lvgl src widgets lvgltest zig copy the compiled app to nuttx and overwrite lv demo widgets o todo change to your nuttx project directory cp lvgltest o apps graphics lvgl lvgl demos widgets lv demo widgets o return to nuttx folder popd download the lvgl zig app git clone https github com lupyuen pinephone lvgl zig build nuttx for pinephone cd nuttx make j build the lvgl zig app build zig link the lvgl zig app with nuttx make j original build script https gist github com lupyuen aa1f5c0c45e6029b10e5e2f955d8386c updated build script https github com lupyuen pinephone lvgl zig blob 2e1c97e49e51b1cbbe0964a9512eba141d0dd09f build sh l192 l223 nuttx build files https github com lupyuen pinephone lvgl zig releases tag nuttx build files and our lvgl zig app runs ok on pinephone lvgl for pinephone with zig and apache nuttx rtos https lupyuen github io images lvgl2 zig jpg simulate pinephone ui with zig lvgl and webassembly read the article possibly lvgl in webassembly with zig compiler https lupyuen github io articles lvgl3 we re now building a feature phone ui for nuttx on pinephone can we simulate the feature phone ui with zig lvgl and webassembly in a web browser to make the ui coding a little easier we have previously created a simple lvgl app with zig for pinephone pinephone lvgl zig https github com lupyuen pinephone lvgl zig zig natively supports webassembly webassembly on zig https ziglang org documentation master webassembly so we might run zig javascript in a web browser like so webassembly with zig in a web browser https dev to sleibrock webassembly with zig pt ii ei7 but lvgl doesn t work with javascript yet lvgl runs in a web browser by compiling with emscripten and sdl lvgl with emscripten and sdl https github com lvgl lv web emscripten therefore we shall do this 1 use zig to compile lvgl from c to webassembly with zig cc https github com lupyuen zig bl602 nuttx zig compiler as drop in replacement for gcc 1 use zig to connect the javascript ui canvas rendering input events to lvgl webassembly like this https dev to sleibrock webassembly with zig pt ii ei7 webassembly demo with zig and javascript we can run zig webassembly javascript in a web browser like so webassembly with zig in a web browser https dev to sleibrock webassembly with zig pt ii ei7 let s run a simple demo demo mandelbrot zig demo mandelbrot zig zig program that compiles to webassembly demo game js demo game js javascript that loads the zig webassembly demo demo html demo demo html html that calls the javascript to compile zig to webassembly bash git clone recursive https github com lupyuen pinephone lvgl zig cd pinephone lvgl zig cd demo zig build lib mandelbrot zig target wasm32 freestanding dynamic rdynamic according to this https ziglang org documentation master freestanding this produces the compiled webassembly mandelbrot wasm mandelbrot wasm start a local web server like web server for chrome https chrome google com webstore detail web server for chrome ofhbbkphhbklhfoeikjpcbhemlocgigb browse to demo demo html we should see the mandelbrot set yay mandelbrot set rendered with zig and webassembly https lupyuen github io images zig wasm png import javascript functions into zig how do we import javascript functions into our zig program this is documented here webassembly on zig https ziglang org documentation master webassembly in our zig program this is how we import and call a javascript function demo mandelbrot zig demo mandelbrot zig zig import print function from javascript extern fn print i32 void test printing to javascript console warning this is slow if iterations 1 print iterations we define the javascript function print when loading the webassembly module in our javascript demo game js demo game js javascript export javascript functions to zig let importobject javascript environment exported to zig env javascript print function exported to zig print function x console log x load the webassembly module https developer mozilla org en us docs webassembly javascript interface instantiatestreaming async function bootstrap store references to webassembly functions and memory exported by zig game await webassembly instantiatestreaming fetch mandelbrot wasm importobject start the main function main start the loading of webassembly module bootstrap will this work for passing strings and buffers as parameters nope the parameter will be passed as a number probably a webassembly data address to pass strings and buffers between javascript and zig see daneelsan zig wasm logger https github com daneelsan zig wasm logger compile zig lvgl app to webassembly does our zig lvgl app lvgltest zig compile to webassembly let s take the earlier steps to compile our zig lvgl app lvgltest zig to compile for webassembly we change zig build obj to zig build lib target becomes target wasm32 freestanding remove mcpu add dynamic and rdynamic like this bash compile the zig app for webassembly todo change to your nuttx project directory zig build lib verbose cimport target wasm32 freestanding dynamic rdynamic isystem nuttx include i apps include i apps graphics lvgl i apps graphics lvgl lvgl src core i apps graphics lvgl lvgl src draw i apps graphics lvgl lvgl src draw arm2d i apps graphics lvgl lvgl src draw nxp i apps graphics lvgl lvgl src draw nxp pxp i apps graphics lvgl lvgl src draw nxp vglite i apps graphics lvgl lvgl src draw sdl i apps graphics lvgl lvgl src draw stm32 dma2d i apps graphics lvgl lvgl src draw sw i apps graphics lvgl lvgl src draw swm341 dma2d i apps graphics lvgl lvgl src font i apps graphics lvgl lvgl src hal i apps graphics lvgl lvgl src misc i apps graphics lvgl lvgl src widgets lvgltest zig according to this https ziglang org documentation master freestanding nuttx build files https github com lupyuen pinephone lvgl zig releases tag nuttx build files ok no errors this produces the compiled webassembly lvgltest wasm now we tweak lvgltest zig lvgltest zig for webassembly and call it lvglwasm zig lvglwasm zig bash compile the zig app for webassembly todo change to your nuttx project directory zig build lib verbose cimport target wasm32 freestanding dynamic rdynamic isystem nuttx include i apps include i apps graphics lvgl i apps graphics lvgl lvgl src core i apps graphics lvgl lvgl src draw i apps graphics lvgl lvgl src draw arm2d i apps graphics lvgl lvgl src draw nxp i apps graphics lvgl lvgl src draw nxp pxp i apps graphics lvgl lvgl src draw nxp vglite i apps graphics lvgl lvgl src draw sdl i apps graphics lvgl lvgl src draw stm32 dma2d i apps graphics lvgl lvgl src draw sw i apps graphics lvgl lvgl src draw swm341 dma2d i apps graphics lvgl lvgl src font i apps graphics lvgl lvgl src hal i apps graphics lvgl lvgl src misc i apps graphics lvgl lvgl src widgets lvglwasm zig according to this https ziglang org documentation master freestanding nuttx build files https github com lupyuen pinephone lvgl zig releases tag nuttx build files we removed our custom panic handler the default one works fine for webassembly this produces the compiled webassembly lvglwasm wasm lvglwasm wasm start a local web server like web server for chrome https chrome google com webstore detail web server for chrome ofhbbkphhbklhfoeikjpcbhemlocgigb browse to our html lvglwasm html lvglwasm html which calls our javascript lvglwasm js lvglwasm js to load the compiled webassembly our javascript lvglwasm js lvglwasm js calls the zig function lv demo widgets that s exported to webassembly by our zig app lvglwasm zig lvglwasm zig but the webassembly won t load because we haven t fixed the webassembly imports fix webassembly imports what happens if we don t fix the webassembly imports in our zig program suppose we forgot to import puts javascript console will show this error when the web browser loads our zig webassembly text uncaught in promise linkerror webassembly instantiate import 0 module env function puts error function import requires a callable but we haven t compiled the lvgl library to webassembly yep that s why lvgl functions like lv label create are failing when the web browser loads our zig webassembly text uncaught in promise linkerror webassembly instantiate import 1 module env function lv label create error function import requires a callable we need to compile the lvgl library with zig cc and link it in compile lvgl to webassembly with zig compiler how to compile lvgl from c to webassembly with zig compiler we ll use zig cc https github com lupyuen zig bl602 nuttx zig compiler as drop in replacement for gcc since zig can compile c programs to webassembly in the previous section we re missing the lvgl function lv label create in our zig webassembly module lv label create is defined in this file text apps lvgl src widgets lv label c according to make trace lv label c is compiled with bash compile lvgl in c todo change to your nuttx project directory cd apps graphics lvgl aarch64 none elf gcc c fno common wall wstrict prototypes wshadow wundef werror os fno strict aliasing fomit frame pointer ffunction sections fdata sections g march armv8 a mtune cortex a53 isystem nuttx include d nuttx pipe i apps graphics lvgl i apps include wno format wno format security wno unused variable i lvgl src core i lvgl src draw i lvgl src draw arm2d i lvgl src draw nxp i lvgl src draw nxp pxp i lvgl src draw nxp vglite i lvgl src draw sdl i lvgl src draw stm32 dma2d i lvgl src draw sw i lvgl src draw swm341 dma2d i lvgl src font i lvgl src hal i lvgl src misc i lvgl src widgets dlv assert handler assert 0 lvgl src widgets lv label c o lv label c users luppy pinephone wip nuttx apps graphics lvgl o let s use the zig compiler to compile lv label c from c to webassembly change aarch64 none elf gcc to zig cc remove march mtune add the target target wasm32 freestanding add dynamic and rdynamic add lc because we re calling c standard library add dfar because we won t need far pointers add dlv mem custom 1 because we re using malloc instead of lvgl s tlsf allocator set the default font to montserrat 20 text dlv font montserrat 14 1 dlv font montserrat 20 1 dlv font default montserrat 20 1 dlv use font placeholder 1 add dlv use log 1 to enable logging add dlv log level lv log level trace for detailed logging for extra logging text dlv log trace obj create 1 dlv log trace timer 1 dlv log trace mem 1 change dlv assert handler to text dlv assert handler void lv assert handler void lv assert handler to handle assertion failures ourselves https github com lupyuen pinephone lvgl zig blob bee0e8d8ab9eae3a8c7cea6c64cc7896a5678f53 lvglwasm zig l170 l190 change the output to text o pinephone lvgl zig lv label o like this bash compile lvgl from c to webassembly todo change to your nuttx project directory cd apps graphics lvgl zig cc target wasm32 freestanding dynamic rdynamic lc dfar dlv mem custom 1 dlv font montserrat 14 1 dlv font montserrat 20 1 dlv font default montserrat 20 1 dlv use font placeholder 1 dlv use log 1 dlv log level lv log level trace dlv log trace obj create 1 dlv log trace timer 1 dlv log trace mem 1 dlv assert handler void lv assert handler void lv assert handler c fno common wall wstrict prototypes wshadow wundef werror os fno strict aliasing fomit frame pointer ffunction sections fdata sections g isystem nuttx include d nuttx pipe i apps graphics lvgl i apps include wno format wno format security wno unused variable i lvgl src core i lvgl src draw i lvgl src draw arm2d i lvgl src draw nxp i lvgl src draw nxp pxp i lvgl src draw nxp vglite i lvgl src draw sdl i lvgl src draw stm32 dma2d i lvgl src draw sw i lvgl src draw swm341 dma2d i lvgl src font i lvgl src hal i lvgl src misc i lvgl src widgets lvgl src widgets lv label c o pinephone lvgl zig lv label o nuttx build files https github com lupyuen pinephone lvgl zig releases tag nuttx build files this produces the compiled webassembly lv label o will zig compiler let us link lv label o with our zig lvgl app let s ask zig compiler to link lv label o with our zig lvgl app lvglwasm zig lvglwasm zig bash compile the zig app for webassembly todo change to your nuttx project directory zig build lib verbose cimport target wasm32 freestanding dynamic rdynamic lc dfar dlv mem custom 1 dlv font montserrat 14 1 dlv font montserrat 20 1 dlv font default montserrat 20 1 dlv use font placeholder 1 dlv use log 1 dlv log level lv log level trace dlv log trace obj create 1 dlv log trace timer 1 dlv log trace mem 1 dlv assert handler void lv assert handler void lv assert handler i isystem nuttx include i apps include i apps graphics lvgl i apps graphics lvgl lvgl src core i apps graphics lvgl lvgl src draw i apps graphics lvgl lvgl src draw arm2d i apps graphics lvgl lvgl src draw nxp i apps graphics lvgl lvgl src draw nxp pxp i apps graphics lvgl lvgl src draw nxp vglite i apps graphics lvgl lvgl src draw sdl i apps graphics lvgl lvgl src draw stm32 dma2d i apps graphics lvgl lvgl src draw sw i apps graphics lvgl lvgl src draw swm341 dma2d i apps graphics lvgl lvgl src font i apps graphics lvgl lvgl src hal i apps graphics lvgl lvgl src misc i apps graphics lvgl lvgl src widgets lvglwasm zig lv label o source https github com lupyuen pinephone lvgl zig blob 2e1c97e49e51b1cbbe0964a9512eba141d0dd09f build sh l87 l191 nuttx build files https github com lupyuen pinephone lvgl zig releases tag nuttx build files now we see this error in the web browser text uncaught in promise linkerror webassembly instantiate import 0 module env function lv obj clear flag error function import requires a callable lv label create is no longer missing because zig compiler has linked lv label o into our zig lvgl app yep zig compiler will happily link webassembly object files with our zig app yay now we need to compile lv obj clear flag and the other lvgl files from c to webassembly with zig compiler compile entire lvgl library to webassembly when we track down lv obj clear flag and the other missing functions by sheer tenacity we get this trail of lvgl source files that need to be compiled from c to webassembly text widgets lv label c core lv obj c misc lv mem c core lv event c core lv obj style c core lv obj pos c misc lv txt c draw lv draw label c core lv obj draw c misc lv area c core lv obj scroll c font lv font c core lv obj class c and many more based on lvgl 8 3 3 https github com lvgl lvgl tree v8 3 3 so we wrote a script to compile the above lvgl source files from c to webassembly with zig cc https github com lupyuen pinephone lvgl zig blob 2e1c97e49e51b1cbbe0964a9512eba141d0dd09f build sh l7 l191 which calls compile lvgl to compile a single lvgl source file from c to webassembly with zig cc https github com lupyuen pinephone lvgl zig blob 2e1c97e49e51b1cbbe0964a9512eba141d0dd09f build sh l226 l288 what happens after we compile the whole bunch of lvgl source files from c to webassembly now the web browser says that strlen is missing text uncaught in promise linkerror webassembly instantiate import 0 module env function strlen error function import requires a callable let s fix strlen is it really ok to compile only the necessary lvgl source files instead of compiling all the lvgl source files be careful we might miss out some symbols zig compiler happily assumes that they are at webassembly address 0 lvgl screen not found https github com lupyuen pinephone lvgl zig lvgl screen not found and remember to compile the lvgl fonts lvgl fonts https github com lupyuen pinephone lvgl zig lvgl fonts todo disassemble the compiled webassembly and look for other undefined variables at webassembly address 0 c standard library is missing strlen is missing from our zig webassembly but strlen should come from the c standard library musl not sure why strlen is missing but we fixed it temporarily by copying from the zig library source code https github com lupyuen pinephone lvgl zig blob e99593df6b46ced52f3f8ed644b9c6e455a9d682 lvglwasm zig l213 l265 this seems to be the same problem mentioned here https github com andrewrk lua in the browser status referenced by this pull request https github com ziglang zig pull 2512 and this issue https github com ziglang zig issues 5854 todo maybe because we didn t export strlen in our main program lvglwasm zig todo do we compile c standard library ourselves from musl newlib wasi libc https github com webassembly wasi libc what if we change the target to wasm32 freestanding musl nope doesn t help same problem what if we use zig build exe instead of zig build lib sorry zig build exe is meant for building wasi executables see this https www fermyon com wasm languages c lang zig build exe is not supposed to work for webassembly in the web browser see this https github com ziglang zig issues 1570 issuecomment 426370371 lvgl porting layer for webassembly lvgl expects us to provide a millis function that returns the number of elapsed milliseconds text uncaught in promise linkerror webassembly instantiate import 0 module env function millis error function import requires a callable we implement millis ourselves for webassembly https github com lupyuen pinephone lvgl zig blob bee0e8d8ab9eae3a8c7cea6c64cc7896a5678f53 lvglwasm zig l170 l190 todo fix millis how would it work in webassembly using a counter in the code above we defined lv assert handler and custom logger to handle assertions and logging in lvgl let s talk about lvgl logging webassembly logger for lvgl let s trace the lvgl execution with a webassembly logger remember printf won t work in webassembly we set the custom logger for lvgl so that we can print log messages to the javascript console https github com lupyuen pinephone lvgl zig blob f9dc7e1afba2f876c8397d753a79a9cb40b90b75 lvglwasm zig l32 l43 the custom logger is defined in our zig program https github com lupyuen pinephone lvgl zig blob f9dc7e1afba2f876c8397d753a79a9cb40b90b75 lvglwasm zig l149 l152 wasmlog is our zig logger for webassembly wasmlog zig wasmlog zig based on daneelsan zig wasm logger https github com daneelsan zig wasm logger jsconsolelogwrite and jsconsolelogflush are defined in our javascript https github com lupyuen pinephone lvgl zig blob 1ed4940d505e263727a36c362da54388be4cbca0 lvglwasm js l55 l66 wasm getstring also comes from our javascript https github com lupyuen pinephone lvgl zig blob 1ed4940d505e263727a36c362da54388be4cbca0 lvglwasm js l10 l27 now we can see the lvgl log messages in the javascript console yay pic below text custom logger warn 0 001 1 lv disp get scr act no display registered to get its active screen in lv disp c line 54 let s initialise the lvgl display webassembly logger for lvgl https lupyuen github io images zig wasm2 png initialise lvgl display according to the lvgl docs this is how we initialise and operate lvgl 1 call lv init 1 register the lvgl display and lvgl input devices 1 call lv tick inc x every x milliseconds in an interrupt to report the elapsed time to lvgl not required because lvgl calls millis to fetch the elapsed time 1 call lv timer handler every few milliseconds to handle lvgl related tasks source https docs lvgl io 8 3 porting project html initialization to register the lvgl display we should do this create lvgl draw buffer https docs lvgl io 8 3 porting display html draw buffer register lvgl display https docs lvgl io 8 3 porting display html examples but we can t do this in zig zig nope lv disp drv t is an opaque type var disp drv c lv disp drv t c lv disp drv init disp drv because lv disp drv t is an opaque type lv disp drv t contains bit fields hence it s opaque https lupyuen github io articles lvgl appendix zig opaque types thus we apply this workaround to create lv disp drv t in c fix opaque types https lupyuen github io articles lvgl fix opaque types and we get this lvgl display interface for zig display c display c finally this is how we initialise the lvgl display in zig webassembly https github com lupyuen pinephone lvgl zig blob d584f43c6354f12bdc15bdb8632cdd3f6f5dc7ff lvglwasm zig l38 l84 now we handle lvgl tasks handle lvgl tasks earlier we talked about handling lvgl tasks 1 call lv tick inc x every x milliseconds in an interrupt to report the elapsed time to lvgl not required because lvgl calls millis to fetch the elapsed time https lupyuen github io articles lvgl3 lvgl porting layer for webassembly 1 call lv timer handler every few milliseconds to handle lvgl tasks from the lvgl docs https docs lvgl io 8 3 porting project html initialization this is how we call lv timer handler in zig lvglwasm zig https github com lupyuen pinephone lvgl zig blob main lvglwasm zig l69 l85 zig main function for our zig lvgl app pub export fn lv demo widgets void omitted init lvgl display create the widgets for display createwidgetswrapped catch e in case of error quit std log err createwidgetswrapped failed e return handle lvgl tasks todo call this from web browser javascript so that web browser won t block var i usize 0 while i 5 i 1 c lv timer handler we re ready to render the lvgl display in our html page something doesn t look right yeah we should have called lv timer handler from our javascript triggered by a javascript timer or requestanimationframe but for our quick demo this will do for now render lvgl display in webassembly https lupyuen github io images lvgl3 render jpg render lvgl display in web browser let s render the lvgl display in the web browser pic above based on daneelsan minimal zig wasm canvas https github com daneelsan minimal zig wasm canvas lvgl renders the display pixels to canvas buffer https github com lupyuen pinephone lvgl zig blob 5e4d661a7a9a962260d1f63c3b79a688037ed642 display c l95 l107 init disp buf is called by our zig program https github com lupyuen pinephone lvgl zig blob d584f43c6354f12bdc15bdb8632cdd3f6f5dc7ff lvglwasm zig l49 l63 lvgl calls flushdisplay in zig when the lvgl display canvas is ready to be rendered https github com lupyuen pinephone lvgl zig blob d584f43c6354f12bdc15bdb8632cdd3f6f5dc7ff lvglwasm zig l49 l63 flushdisplay in zig calls render in javascript to render the lvgl display canvas https github com lupyuen pinephone lvgl zig blob d584f43c6354f12bdc15bdb8632cdd3f6f5dc7ff lvglwasm zig l86 l98 remember to call lv disp flush ready or web browser will hang on reload render in javascript draws the lvgl display to our html canvas https github com lupyuen pinephone lvgl zig blob 1ed4940d505e263727a36c362da54388be4cbca0 lvglwasm js l29 l53 which calls getcanvasbuffer https github com lupyuen pinephone lvgl zig blob d584f43c6354f12bdc15bdb8632cdd3f6f5dc7ff lvglwasm zig l100 l104 in zig and get canvas buffer in c to fetch the lvgl canvas buffer canvas buffer https github com lupyuen pinephone lvgl zig blob 5e4d661a7a9a962260d1f63c3b79a688037ed642 display c l9 l29 remember to set direct mode in the display driver https github com lupyuen pinephone lvgl zig blob 86700c3453d91bc7d2fe0a46192fa41b7a24b6df display c l94 l95 and the lvgl display renders ok in our html canvas yay pic below render lvgl display in web browser https lupyuen github io images zig wasm3 png handle lvgl timer to execute lvgl tasks periodically here s the proper way to handle the lvgl timer in javascript https github com lupyuen pinephone lvgl zig blob 435435e01a4ffada2c93ecc3ec1af73a6220e7a0 feature phone js l134 l150 handletimer comes from our zig lvgl app it executes lvgl tasks periodically https github com lupyuen pinephone lvgl zig blob 86700c3453d91bc7d2fe0a46192fa41b7a24b6df feature phone zig l213 l222 handle lvgl input let s handle mouse and touch input in lvgl we create an lvgl button in our zig lvgl app https github com lupyuen pinephone lvgl zig blob 86700c3453d91bc7d2fe0a46192fa41b7a24b6df feature phone zig l185 l196 eventhandler is our zig handler for button events https github com lupyuen pinephone lvgl zig blob 86700c3453d91bc7d2fe0a46192fa41b7a24b6df feature phone zig l198 l208 when our app starts we register the lvgl input device https github com lupyuen pinephone lvgl zig blob 7eb99b6c4deca82310e42d30808944f25bb6255c feature phone zig l69 l75 we define register input in c because lv indev t is an opaque type in zig https github com lupyuen pinephone lvgl zig blob main display c this tells lvgl to call readinput periodically to poll for input more about this below indev drv is our lvgl input device driver https github com lupyuen pinephone lvgl zig blob 7eb99b6c4deca82310e42d30808944f25bb6255c feature phone zig l287 l288 now we handle mouse and touch events in our javascript https github com lupyuen pinephone lvgl zig blob 435435e01a4ffada2c93ecc3ec1af73a6220e7a0 feature phone js l77 l123 which calls notifyinput in our zig app to set the input state and input coordinates https github com lupyuen pinephone lvgl zig blob 86700c3453d91bc7d2fe0a46192fa41b7a24b6df feature phone zig l224 l235 lvgl polls our readinput zig function periodically to read the input state and input coordinates https github com lupyuen pinephone lvgl zig blob 86700c3453d91bc7d2fe0a46192fa41b7a24b6df feature phone zig l237 l253 we define set input data in c because lv indev data t is an opaque type in zig https github com lupyuen pinephone lvgl zig blob main display c and the lvgl button will respond correctly to mouse and touch input in the web browser pic below try the lvgl button demo https lupyuen github io pinephone lvgl zig feature phone html watch the demo on youtube https youtube com shorts j6ugzvykc4u feature share see the log https github com lupyuen pinephone lvgl zig blob e70b2df50fa562bec7e02f24191dbbb1e5a7553a readme md todo handle lvgl input https lupyuen github io images lvgl3 wasm4 png feature phone ui read the article nuttx rtos for pinephone feature phone ui in lvgl zig and webassembly https lupyuen github io articles lvgl4 let s create a feature phone ui for pinephone on apache nuttx rtos we create 3 lvgl containers for the display label call cancel buttons and digit buttons https github com lupyuen pinephone lvgl zig blob b8b12209dc99a7c477aaeaa475362e795f9b05fc feature phone zig l113 l136 we create the display label https github com lupyuen pinephone lvgl zig blob b8b12209dc99a7c477aaeaa475362e795f9b05fc feature phone zig l139 l167 then we create the call and cancel buttons inside the second container https github com lupyuen pinephone lvgl zig blob b8b12209dc99a7c477aaeaa475362e795f9b05fc feature phone zig l169 l184 finally we create the digit buttons inside the third container https github com lupyuen pinephone lvgl zig blob b8b12209dc99a7c477aaeaa475362e795f9b05fc feature phone zig l186 l201 or use an lvgl button matrix https docs lvgl io 8 3 widgets core btnmatrix html when we test our zig lvgl app in webassembly we see this feature phone ui https lupyuen github io images lvgl3 wasm5 png try the feature phone demo https lupyuen github io pinephone lvgl zig feature phone html watch the demo on youtube https www youtube com shorts ika0bcsa22u see the log https github com lupyuen pinephone lvgl zig blob 1feb919e17018222dd3ebf79b206de97eb4cfbeb readme md output log handle buttons in feature phone ui now that we have rendered the feature phone ui in zig and lvgl let s wire up the buttons clicking any button will call our button event handler https github com lupyuen pinephone lvgl zig blob 9650c4bc2ef8065410ca4e643cde6ab6ae2d2f7d feature phone zig l189 l197 in our button event handler we identify the button clicked https github com lupyuen pinephone lvgl zig blob 9650c4bc2ef8065410ca4e643cde6ab6ae2d2f7d feature phone zig l205 l220 if it s a digit button we append the digit to the phone number https github com lupyuen pinephone lvgl zig blob 9650c4bc2ef8065410ca4e643cde6ab6ae2d2f7d feature phone zig l238 l242 if it s the cancel button we erase the last digit of the phone number https github com lupyuen pinephone lvgl zig blob 9650c4bc2ef8065410ca4e643cde6ab6ae2d2f7d feature phone zig l232 l238 if it s the call button we call pinephone s lte modem to dial the phone number https github com lupyuen pinephone lvgl zig blob 9650c4bc2ef8065410ca4e643cde6ab6ae2d2f7d feature phone zig l222 l231 simulated for webassembly the buttons work ok on webassembly pic below let s run the feature phone ui on pinephone and apache nuttx rtos feature phone ui https lupyuen github io images lvgl3 wasm6 png try the feature phone demo https lupyuen github io pinephone lvgl zig feature phone html watch the demo on youtube https youtu be vbkhk5q6rne see the log https github com lupyuen pinephone lvgl zig blob 665847f513a44648b0d4ae602d6fcf7cc364a342 readme md output log feature phone ui for apache nuttx rtos we created an lvgl feature phone ui for webassembly will it run on pinephone let s refactor the lvgl feature phone ui so that the same zig source file will run on both webassembly and pinephone with apache nuttx rtos we moved all the webassembly specific functions to wasm zig wasm zig https github com lupyuen pinephone lvgl zig blob a0ead2b86fda34a23afee71411915ac8315537a0 wasm zig l19 l288 our zig lvgl app imports wasm zig wasm zig only when compiling for webassembly https github com lupyuen pinephone lvgl zig blob 0aa3a1123ae64aaa75734456ce920de23ddc6aa2 feature phone zig l15 l19 in our javascript we call initdisplay from wasm zig wasm zig to initialise the lvgl display and lvgl input for webassembly https github com lupyuen pinephone lvgl zig blob 521b7c7e06beaa53b1d6c8d88671650bddaae88e feature phone js l124 l153 what about pinephone on apache nuttx rtos when compiling for nuttx our zig lvgl app imports nuttx zig nuttx zig https github com lupyuen pinephone lvgl zig blob 0aa3a1123ae64aaa75734456ce920de23ddc6aa2 feature phone zig l15 l19 which defines the custom panic handler and custom logger specific to nuttx https github com lupyuen pinephone lvgl zig blob f2b768eabaa99ebb0acf5454823871ddf5675a59 nuttx zig l7 l70 we compile our zig lvgl app for nuttx using the exact same zig source file for webassembly https github com lupyuen pinephone lvgl zig blob 4650bc8eb5f4d23fae03d17e82b511682e288f3d build sh l403 l437 and our feature phone ui runs on pinephone with nuttx yay pic below the exact same zig source file runs on both webassembly and pinephone no changes needed this is super helpful for creating lvgl apps feature phone ui on pinephone and apache nuttx rtos https lupyuen github io images lvgl3 pinephone jpg watch the demo on youtube https www youtube com shorts tounj0xep q see the pinephone log https github com lupyuen pinephone lvgl zig blob 07ec0cd87b7888ac20736a7472643ee5d4758096 readme md pinephone log lvgl fonts remember to compile the lvgl fonts or nothing will be rendered bash compile lvgl library from c to webassembly with zig compiler compile lvgl font lv font montserrat 14 c lv font montserrat 14 compile lvgl font lv font montserrat 20 c lv font montserrat 20 compile the zig lvgl app for webassembly zig build lib dlv font montserrat 14 1 dlv font montserrat 20 1 dlv font default montserrat 20 1 dlv use font placeholder 1 lv font montserrat 14 o lv font montserrat 20 o source https github com lupyuen pinephone lvgl zig blob 2e1c97e49e51b1cbbe0964a9512eba141d0dd09f build sh l21 l191 lvgl memory allocation what happens if we omit dlv mem custom 1 by default lvgl uses the two level segregate fit tlsf allocator http www gii upv es tlsf for heap memory but tlsf allocator fails in block next https github com lvgl lvgl blob v8 3 3 src misc lv tlsf c l453 l460 text main start loop start lv demo widgets start before lv init info lv init begin in lv obj c line 102 trace lv mem alloc allocating 76 bytes in lv mem c line 127 trace lv mem alloc allocated at 0x1a700 in lv mem c line 160 trace lv mem alloc allocating 28 bytes in lv mem c line 127 trace lv mem alloc allocated at 0x1a750 in lv mem c line 160 warn lv init log level is set to trace which makes lvgl much slower in lv obj c line 176 trace lv mem realloc reallocating 0x14 with 8 size in lv mem c line 196 error block next asserted at expression block is last block in lv tlsf c line 459 004a5b4a 0x29ab2 uncaught in promise runtimeerror unreachable at std builtin default panic 004a5b4a 0x29ab2 at lv assert handler 004a5b4a 0x2ac6c at block next 004a5b4a 0xd5b3 at lv tlsf realloc 004a5b4a 0xe226 at lv mem realloc 004a5b4a 0x20f1 at lv layout register 004a5b4a 0x75d8 at lv flex init 004a5b4a 0x16afe at lv extra init 004a5b4a 0x16ae5 at lv init 004a5b4a 0x3f28 at lv demo widgets 004a5b4a 0x29bb9 thus we set dlv mem custom 1 to use malloc instead of lvgl s tlsf allocator block next https github com lvgl lvgl blob v8 3 3 src misc lv tlsf c l453 l460 calls offset to block https github com lvgl lvgl blob v8 3 3 src misc lv tlsf c l440 l444 which calls tlsf cast https github com lvgl lvgl blob v8 3 3 src misc lv tlsf c l274 maybe the pointer cast doesn t work for clang webassembly but zig doesn t support malloc for webassembly we used zig s fixedbufferallocator https github com lupyuen pinephone lvgl zig blob 43fa982d38a7ae8f931c171a80b006a9faa95b58 lvglwasm zig l38 l44 to implement malloc ourselves https github com lupyuen pinephone lvgl zig blob 43fa982d38a7ae8f931c171a80b006a9faa95b58 lvglwasm zig l195 l237 remember to copy the old memory in realloc https github com lupyuen pinephone lvgl zig blob aade32dd70286866676b2d9728970c6b3cca9489 readme md todo if we ever remove dlv mem custom 1 remember to set dlv mem size 1000000 https github com lupyuen pinephone lvgl zig blob aa080fb2ce55f9959cce2b6fff7e5fd5c9907cd6 readme md lvgl memory allocation todo how to disassemble compiled webassembly with cross reference to source code like objdump source see wabt https github com webassembly wabt and binaryen https github com webassembly binaryen lvgl screen not found why does lvgl say no screen found in lv obj get disp https github com lvgl lvgl blob v8 3 3 src core lv obj tree c l270 l289 that s because the display linked list lv disp ll is allocated by lv iterate roots in lv gc clear roots https github com lvgl lvgl blob v8 3 3 src misc lv gc c l42 and we forgot to compile lv gc clear roots https github com lvgl lvgl blob v8 3 3 src misc lv gc c l42 in lv gc c https github com lvgl lvgl blob v8 3 3 src misc lv gc c l42 duh zig compiler assumes that missing variables like lv disp ll are at webassembly address 0 after compiling lv gc clear roots https github com lvgl lvgl blob v8 3 3 src misc lv gc c l42 and lv gc c https github com lvgl lvgl blob v8 3 3 src misc lv gc c l42 the no screen found error below no longer appears todo disassemble the compiled webassembly and look for other undefined variables at webassembly address 0 text info lv init begin in lv obj c line 102 trace lv init finished in lv obj c line 183 before lv disp drv register warn lv obj get disp no screen found in lv obj tree c line 290 info lv obj create begin in lv obj c line 206 trace lv obj class create obj creating object with 0x12014 class on 0 parent in lv obj class c line 45 warn lv obj get disp no screen found in lv obj tree c line 290 see the complete log https github com lupyuen pinephone lvgl zig blob 9610bb5209a072fc5950cf0559b1274d53dd8b8b readme md lvgl screen not found zig with rancher desktop the official zig download for macos https ziglang org download no longer runs on my 10 year old macbook pro that s stuck on macos 10 15 to run the latest version of zig compiler i use rancher desktop and vscode remote containers vscode remote containers on rancher desktop https docs rancherdesktop io how to guides vs code remote containers here s how 1 install rancher desktop https rancherdesktop io 1 in rancher desktop click settings set container engine to dockerd moby under kubernetes uncheck enable kubernetes to reduce cpu utilisation 1 restart vscode to use the new path install the vscode docker extension in vscode click the docker icon in the left bar 1 under containers click and new dev container select alpine 1 in a while we ll see vscode running inside the alpine linux container we have finally linux on macos text uname a linux bc0c45900671 5 15 96 0 virt 1 alpine smp sun 26 feb 2023 15 14 12 0000 x86 64 gnu linux 1 now we can download and run the latest and greatest zig compiler for linux x64 from here https ziglang org download bash wget https ziglang org builds zig linux x86 64 0 11 0 dev 3283 7cb3a6750 tar xz tar xvf zig linux x86 64 0 11 0 dev 3283 7cb3a6750 tar xz zig linux x86 64 0 11 0 dev 3283 7cb3a6750 zig version 1 to install the nuttx toolchain on alpine linux build apache nuttx rtos on alpine linux https gist github com lupyuen 880caa0547378028243b8cc5cfdc50a8 1 to forward network ports click the ports tab beside terminal to configure other features in the alpine linux container edit the file devcontainer devcontainer json zig version here s what happens if we don t run zig in a container we re stuck with an older version of zig which version of zig are we using we re using an older version 0 10 0 dev 2351 b64a1d5ab sadly zig 0 10 1 and later won t run on my 10 year old macbook pro that s stuck on macos 10 15 text compile the zig app for pinephone armv8 a with cortex a53 todo change to your nuttx project directory zig build obj verbose cimport target aarch64 freestanding none mcpu cortex a53 isystem nuttx include i apps include lvgltest zig dyld lazy symbol binding faileddyld lazy symbol binding faileddyld lazy symbol binding failed symbol not found ulock wai symbol not found ulock wait2 referenced from users lupt2 referenced from users lupdyld lazy symbol binding failedpy zig macos x86 64 0 10 1 zig py zig macos x86 64 0 10 1 zig dyld lazy symbol binding failedwhich was built for mac os x 11 symbol not found ulock wai symbol not found ulock waiwhich was built for mac os x 11 7 expected in usr lib libsy symbol not found ulock wai7 expected in usr lib libsystem b dylib stem b dylib t2 referenced from users lupt2 referenced from users lupt2 referenced from users luppy zig macos x86 64 0 10 1 zig py zig macos x86 64 0 10 1 zig py zig macos x86 64 0 10 1 zig which was built for mac os x 11 which was built for mac os x 11 which was built for mac os x 11 7 expected in usr lib libsy7 expected in usr lib libsydyld symbol not found ulock7 expected in usr lib libsystem b dylib stem b dylib wait2 referenced from usersstem b dylib luppy zig macos x86 64 0 10 1 zdyld symbol not found ulockig which was built for mac os x wait2 referenced from users 11 7 expected in usr lib ldyld symbol not found ulockdyld symbol not found ulock luppy zig macos x86 64 0 10 1 zibsystem b dylib wait2 referenced from usersig which was built for mac os x wait2 referenced from users luppy zig macos x86 64 0 10 1 z 11 7 expected in usr lib l luppy zig macos x86 64 0 10 1 zig which was built for mac os xibsystem b dylib ig which was built for mac os x 11 7 expected in usr lib l 11 7 expected in usr lib libsystem b dylib ibsystem b dylib dyld symbol not found ulockdyld lazy symbol binding faileddyld lazy symbol binding failed 1 11157 abort zig build obj verbose cimport target aarch64 freestanding none mcpu i i tried building zig from source but it didn t work either build zig from source the official zig download for macos https ziglang org download no longer runs on my 10 year old macbook pro that s stuck on macos 10 15 see the previous section so i tried building zig from source according to these instructions building zig from source https github com ziglang zig wiki building zig from source here s what i did bash brew install llvm git clone recursive https github com ziglang zig cd zig mkdir build cd build cmake dzig static llvm on dcmake prefix path brew prefix llvm brew prefix zstd make install brew install llvm failed previously here https github com lupyuen pinephone lvgl zig blob 7c6af9cd59788b67b18b85966b78f5b9aaadb10e readme md build zig from source update this has been fixed https github com lupyuen pinephone lvgl zig commit b3e395839047180b67502dbf81a358a1d604b8a9 so i tried building llvm from source from here https github com ziglang zig wiki how to build llvm libclang and liblld from source posix bash cd downloads git clone depth 1 branch release 16 x https github com llvm llvm project llvm project 16 cd llvm project 16 git checkout release 16 x mkdir build release cd build release cmake llvm dcmake install prefix home local llvm16 release dcmake build type release dllvm enable projects lld clang dllvm enable libxml2 off dllvm enable terminfo off dllvm enable libedit off dllvm enable assertions on dllvm parallel link jobs 1 g ninja ninja install but llvm fails to build text ninja install 1908 4827 building cxx object lib target amdgpu asmparser cmakefiles llvmamdgpuasmparser dir amdgpuasmparser cpp o failed lib target amdgpu asmparser cmakefiles llvmamdgpuasmparser dir amdgpuasmparser cpp o applications xcode app contents developer usr bin g dgtest has rtti 0 d debug d stdc constant macros d stdc format macros d stdc limit macros i users luppy llvm project 16 build release lib target amdgpu asmparser i users luppy llvm project 16 llvm lib target amdgpu asmparser i users luppy llvm project 16 llvm lib target amdgpu i users luppy llvm project 16 build release lib target amdgpu i users luppy llvm project 16 build release include i users luppy llvm project 16 llvm include isystem usr local include fpic fvisibility inlines hidden werror date time werror unguarded availability new wall wextra wno unused parameter wwrite strings wcast qual wmissing field initializers pedantic wno long long wc 98 compat extra semi wimplicit fallthrough wcovered switch default wno noexcept type wnon virtual dtor wdelete non virtual dtor wstring conversion wctad maybe unsupported fdiagnostics color o3 dndebug std c 17 isysroot applications xcode app contents developer platforms macosx platform developer sdks macosx10 15 sdk fno exceptions fno rtti undebug md mt lib target amdgpu asmparser cmakefiles llvmamdgpuasmparser dir amdgpuasmparser cpp o mf lib target amdgpu asmparser cmakefiles llvmamdgpuasmparser dir amdgpuasmparser cpp o d o lib target amdgpu asmparser cmakefiles llvmamdgpuasmparser dir amdgpuasmparser cpp o c users luppy llvm project 16 llvm lib target amdgpu asmparser amdgpuasmparser cpp users luppy llvm project 16 llvm lib target amdgpu asmparser amdgpuasmparser cpp 5490 13 error no viable constructor or deduction guide for deduction of template arguments of tuple std tuple hsamd v3 assemblerdirectivebegin applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 625 5 note candidate template ignored requirement lazy and std 1 is same std 1 allocator arg t const char std 1 lazy all value was not satisfied with tp allocargt const char alloc char 21 dummy true tuple allocargt alloc const a applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 641 5 note candidate template ignored requirement checkargsconstructor true void enable implicit was not satisfied with tp char 17 char 21 dummy true tuple const tp t noexcept all is nothrow copy constructible tp value value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 659 14 note candidate template ignored requirement checkargsconstructor true void enable explicit was not satisfied with tp char 17 char 21 dummy true explicit tuple const tp t noexcept all is nothrow copy constructible tp value value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 677 7 note candidate template ignored substitution failure with tp alloc char 21 dummy true cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a const tp t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 697 7 note candidate template ignored substitution failure with tp alloc char 21 dummy true cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a const tp t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 723 9 note candidate template ignored substitution failure with tp up char const 17 char const 21 cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 756 9 note candidate template ignored substitution failure with tp up char const 17 char const 21 cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 783 9 note candidate template ignored substitution failure with tp alloc char 21 up cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 803 9 note candidate template ignored substitution failure with tp alloc char 21 up cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 612 23 note candidate function template not viable requires 0 arguments but 2 were provided libcpp constexpr tuple applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 615 5 note candidate function template not viable requires 1 argument but 2 were provided tuple tuple const default applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 616 5 note candidate function template not viable requires 1 argument but 2 were provided tuple tuple default applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 822 9 note candidate function template not viable requires single argument t but 2 arguments were provided tuple tuple t noexcept is nothrow constructible baset tuple value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 837 9 note candidate function template not viable requires single argument t but 2 arguments were provided tuple tuple t noexcept is nothrow constructible baset tuple value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 850 9 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc a tuple t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 864 9 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc a tuple t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 469 28 note candidate function template not viable requires 1 argument but 2 were provided class libcpp template vis tuple applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 932 1 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc tuple args const tuple args applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 934 1 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc tuple args tuple args users luppy llvm project 16 llvm lib target amdgpu asmparser amdgpuasmparser cpp 5492 13 error no viable constructor or deduction guide for deduction of template arguments of tuple std tuple hsamd assemblerdirectivebegin applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 625 5 note candidate template ignored requirement lazy and std 1 is same std 1 allocator arg t const char std 1 lazy all value was not satisfied with tp allocargt const char alloc char 29 dummy true tuple allocargt alloc const a applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 641 5 note candidate template ignored requirement checkargsconstructor true void enable implicit was not satisfied with tp char 25 char 29 dummy true tuple const tp t noexcept all is nothrow copy constructible tp value value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 659 14 note candidate template ignored requirement checkargsconstructor true void enable explicit was not satisfied with tp char 25 char 29 dummy true explicit tuple const tp t noexcept all is nothrow copy constructible tp value value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 677 7 note candidate template ignored substitution failure with tp alloc char 29 dummy true cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a const tp t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 697 7 note candidate template ignored substitution failure with tp alloc char 29 dummy true cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a const tp t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 723 9 note candidate template ignored substitution failure with tp up char const 25 char const 29 cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 756 9 note candidate template ignored substitution failure with tp up char const 25 char const 29 cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 783 9 note candidate template ignored substitution failure with tp alloc char 29 up cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 803 9 note candidate template ignored substitution failure with tp alloc char 29 up cannot reference member of primary template because deduced class template specialization tuple is an explicit specialization tuple allocator arg t const alloc a up u applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 612 23 note candidate function template not viable requires 0 arguments but 2 were provided libcpp constexpr tuple applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 615 5 note candidate function template not viable requires 1 argument but 2 were provided tuple tuple const default applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 616 5 note candidate function template not viable requires 1 argument but 2 were provided tuple tuple default applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 822 9 note candidate function template not viable requires single argument t but 2 arguments were provided tuple tuple t noexcept is nothrow constructible baset tuple value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 837 9 note candidate function template not viable requires single argument t but 2 arguments were provided tuple tuple t noexcept is nothrow constructible baset tuple value applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 850 9 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc a tuple t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 864 9 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc a tuple t applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 469 28 note candidate function template not viable requires 1 argument but 2 were provided class libcpp template vis tuple applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 932 1 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc tuple args const tuple args applications xcode app contents developer toolchains xcodedefault xctoolchain usr bin include c v1 tuple 934 1 note candidate function template not viable requires 3 arguments but 2 were provided tuple allocator arg t const alloc tuple args tuple args 2 errors generated 1917 4827 building cxx object lib target amdgpu disassembler cmakefiles llvmamdgpudisassembler dir amdgpudisassembler cpp o ninja build stopped subcommand failed so i can t build zig from source on my 10 year old macbook pro output log here s the log from the javascript console text main start lv demo widgets start info lv init begin in lv obj c line 102 warn lv init log level is set to trace which makes lvgl much slower in lv obj c line 176 trace lv init finished in lv obj c line 183 info lv obj create begin in lv obj c line 206 trace lv obj class create obj creating object with 0x1773c class on 0 parent in lv obj class c line 45 trace lv obj class create obj creating a screen in lv obj class c line 55 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 info lv obj create begin in lv obj c line 206 trace lv obj class create obj creating object with 0x1773c class on 0 parent in lv obj class c line 45 trace lv obj class create obj creating a screen in lv obj class c line 55 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 info lv obj create begin in lv obj c line 206 trace lv obj class create obj creating object with 0x1773c class on 0 parent in lv obj class c line 45 trace lv obj class create obj creating a screen in lv obj class c line 55 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 createwidgets start info lv obj create begin in lv obj c line 206 trace lv obj class create obj creating object with 0x1773c class on 0x39e320 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 info lv obj create begin in lv obj c line 206 trace lv obj class create obj creating object with 0x1773c class on 0x39e320 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 info lv obj update layout layout update begin in lv obj pos c line 314 trace lv obj update layout layout update end in lv obj pos c line 317 info lv obj update layout layout update begin in lv obj pos c line 314 trace lv obj update layout layout update end in lv obj pos c line 317 info lv obj create begin in lv obj c line 206 trace lv obj class create obj creating object with 0x1773c class on 0x39e320 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 info lv obj update layout layout update begin in lv obj pos c line 314 trace lv obj update layout layout update end in lv obj pos c line 317 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39e57a parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e692 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39e9bc parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e692 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39ec98 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39ef5e parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39f237 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39f4f8 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39f7bd parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39fa86 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x39fd53 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x3a0024 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x3a02f9 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x3a05d2 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x3a08af parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x3a0b90 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 info lv btn create begin in lv btn c line 51 trace lv obj class create obj creating object with 0x17d4c class on 0x39e792 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv btn constructor begin in lv btn c line 64 trace lv btn constructor finished in lv btn c line 69 info lv label create begin in lv label c line 75 trace lv obj class create obj creating object with 0x17720 class on 0x3a0e75 parent in lv obj class c line 45 trace lv obj class create obj creating normal object in lv obj class c line 82 trace lv obj constructor begin in lv obj c line 403 trace lv obj constructor finished in lv obj c line 428 trace lv label constructor begin in lv label c line 691 trace lv label constructor finished in lv label c line 721 createwidgets end lv demo widgets end info lv obj update layout layout update begin in lv obj pos c line 314 info flex update update 0x39e57a container in lv flex c line 211 info flex update update 0x39e692 container in lv flex c line 211 info flex update update 0x39e792 container in lv flex c line 211 trace lv obj update layout layout update end in lv obj pos c line 317 info lv obj update layout layout update begin in lv obj pos c line 314 info flex update update 0x39e57a container in lv flex c line 211 trace lv obj update layout layout update end in lv obj pos c line 317 info lv obj update layout layout update begin in lv obj pos c line 314 trace lv obj update layout layout update end in lv obj pos c line 317 info lv obj update layout layout update begin in lv obj pos c line 314 trace lv obj update layout layout update end in lv obj pos c line 317 info lv obj update layout layout update begin in lv obj pos c line 314 trace lv obj update layout layout update end in lv obj pos c line 317 get canvas buffer 803944 non empty pixels main end mousedown readinput state 1 x 162 y 491 info 4 322 4056 indev proc press pressed at x 162 y 491 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 4 355 33 indev proc release released in lv indev c line 969 eventhandler clicked mouseup info 4 373 18 lv obj update layout layout update begin in lv obj pos c line 314 info 4 374 1 flex update update 0x39e57a container in lv flex c line 211 trace 4 375 1 lv obj update layout layout update end in lv obj pos c line 317 info 4 376 1 lv obj update layout layout update begin in lv obj pos c line 314 trace 4 377 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels readinput state 0 x 162 y 491 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels 2get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 334 y 494 info 4 689 312 indev proc press pressed at x 334 y 494 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 4 721 32 indev proc release released in lv indev c line 969 eventhandler clicked info 4 740 19 lv obj update layout layout update begin in lv obj pos c line 314 trace 4 741 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 334 y 494 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 570 y 493 info 5 108 367 indev proc press pressed at x 570 y 493 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 5 158 50 indev proc release released in lv indev c line 969 eventhandler clicked info 5 162 4 lv obj update layout layout update begin in lv obj pos c line 314 trace 5 163 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 570 y 493 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels get canvas buffer 803940 non empty pixels get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 186 y 669 info 6 075 912 indev proc press pressed at x 186 y 669 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 6 106 31 indev proc release released in lv indev c line 969 eventhandler clicked info 6 124 18 lv obj update layout layout update begin in lv obj pos c line 314 trace 6 125 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 186 y 669 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels get canvas buffer 803940 non empty pixels get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 336 y 643 info 6 474 349 indev proc press pressed at x 336 y 643 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 6 509 35 indev proc release released in lv indev c line 969 eventhandler clicked info 6 513 4 lv obj update layout layout update begin in lv obj pos c line 314 trace 6 514 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 336 y 643 get canvas buffer 803952 non empty pixels get canvas buffer 803944 non empty pixels get canvas buffer 803940 non empty pixels get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 519 y 631 info 6 941 427 indev proc press pressed at x 519 y 631 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 6 975 34 indev proc release released in lv indev c line 969 eventhandler clicked info 6 979 4 lv obj update layout layout update begin in lv obj pos c line 314 trace 6 980 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 519 y 631 get canvas buffer 803952 non empty pixels get canvas buffer 803698 non empty pixels get canvas buffer 803956 non empty pixels 2get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 559 y 282 info 7 725 745 indev proc press pressed at x 559 y 282 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 7 757 32 indev proc release released in lv indev c line 969 eventhandler clicked info 7 775 18 lv obj update layout layout update begin in lv obj pos c line 314 trace 7 776 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels get canvas buffer 803956 non empty pixels mouseup readinput state 0 x 559 y 282 get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 559 y 282 info 8 159 383 indev proc press pressed at x 559 y 282 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 8 191 32 indev proc release released in lv indev c line 969 eventhandler clicked info 8 209 18 lv obj update layout layout update begin in lv obj pos c line 314 trace 8 210 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup get canvas buffer 803956 non empty pixels readinput state 0 x 559 y 282 get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 559 y 282 info 8 493 283 indev proc press pressed at x 559 y 282 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 8 525 32 indev proc release released in lv indev c line 969 eventhandler clicked info 8 543 18 lv obj update layout layout update begin in lv obj pos c line 314 trace 8 544 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup get canvas buffer 803956 non empty pixels readinput state 0 x 559 y 282 get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 155 y 643 info 9 376 832 indev proc press pressed at x 155 y 643 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 9 408 32 indev proc release released in lv indev c line 969 eventhandler clicked info 9 427 19 lv obj update layout layout update begin in lv obj pos c line 314 trace 9 428 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels get canvas buffer 803956 non empty pixels mouseup readinput state 0 x 155 y 643 get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 327 y 640 info 9 844 416 indev proc press pressed at x 327 y 640 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 9 876 32 indev proc release released in lv indev c line 969 eventhandler clicked info 9 894 18 lv obj update layout layout update begin in lv obj pos c line 314 trace 9 895 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 327 y 640 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 554 y 637 info 10 362 467 indev proc press pressed at x 554 y 637 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 10 392 30 indev proc release released in lv indev c line 969 eventhandler clicked info 10 411 19 lv obj update layout layout update begin in lv obj pos c line 314 trace 10 412 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels get canvas buffer 803956 non empty pixels mouseup readinput state 0 x 554 y 637 get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 197 y 768 info 11 029 617 indev proc press pressed at x 197 y 768 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 11 059 30 indev proc release released in lv indev c line 969 eventhandler clicked info 11 081 22 lv obj update layout layout update begin in lv obj pos c line 314 trace 11 082 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels get canvas buffer 803956 non empty pixels mouseup readinput state 0 x 197 y 768 get canvas buffer 803952 non empty pixels get canvas buffer 803940 non empty pixels get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 362 y 766 info 11 428 346 indev proc press pressed at x 362 y 766 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 11 460 32 indev proc release released in lv indev c line 969 eventhandler clicked info 11 478 18 lv obj update layout layout update begin in lv obj pos c line 314 trace 11 479 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 362 y 766 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 593 y 769 info 11 895 416 indev proc press pressed at x 593 y 769 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 11 928 33 indev proc release released in lv indev c line 969 eventhandler clicked info 11 945 17 lv obj update layout layout update begin in lv obj pos c line 314 trace 11 946 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 593 y 769 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 368 y 915 info 12 629 683 indev proc press pressed at x 368 y 915 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 12 662 33 indev proc release released in lv indev c line 969 eventhandler clicked info 12 680 18 lv obj update layout layout update begin in lv obj pos c line 314 trace 12 681 1 lv obj update layout layout update end in lv obj pos c line 317 2get canvas buffer 803944 non empty pixels mouseup readinput state 0 x 368 y 915 get canvas buffer 803956 non empty pixels get canvas buffer 803952 non empty pixels get canvas buffer 803940 non empty pixels get canvas buffer 803944 non empty pixels mousedown readinput state 1 x 219 y 274 info 13 328 647 indev proc press pressed at x 219 y 274 in lv indev c line 819 get canvas buffer 803944 non empty pixels info 13 361 33 indev proc release released in lv indev c line 969 eventhandler clicked call 1234567890 running in webassembly simulate the phone call get canvas buffer 803944 non empty pixels mouseup get canvas buffer 803956 non empty pixels readinput state 0 x 219 y 274 get canvas buffer 803952 non empty pixels 3get canvas buffer 803944 non empty pixels pinephone log here s the log from pinephone on apache nuttx rtos text dram 2048 mib trying to boot from mmc1 notice bl31 v2 2 release v2 2 904 gf9ea3a629 notice bl31 built 15 32 12 apr 9 2020 notice bl31 detected allwinner a64 h64 r18 soc 1689 notice bl31 found u boot dtb at 0x4064410 model pinephone notice psci system suspend is unavailable u boot 2020 07 nov 08 2020 00 15 12 0100 dram 2 gib mmc device mmc 1c11000 seq 1 is in use by mmc 1c10000 mmc 1c0f000 0 mmc 1c10000 2 mmc 1c11000 1 loading environment from fat warning bad crc using default environment starting usb no working controllers found hit any key to stop autoboot 0 switch to partitions 0 ok mmc0 is current device scanning mmc 0 1 found u boot script boot scr 653 bytes read in 3 ms 211 9 kib s executing script at 4fc00000 gpio pin 114 gpio 114 value is 1 276622 bytes read in 16 ms 16 5 mib s uncompressed size 10387456 0x9e8000 36162 bytes read in 4 ms 8 6 mib s 1078500 bytes read in 50 ms 20 6 mib s flattened device tree blob at 4fa00000 booting using the fdt blob at 0x4fa00000 loading ramdisk to 49ef8000 end 49fff4e4 ok loading device tree to 0000000049eec000 end 0000000049ef7d41 ok starting kernel nsh mkfatfs command not found nuttshell nsh nuttx 12 0 3 nsh lvgldemo lv demo widgets start createwidgets start createwidgets end lv demo widgets end eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked eventhandler clicked call 1234567890 running on pinephone make an actual phone call | lvgl nuttx pinephone zig wasm | os |
awesome-cv-conference-journals | awesome cv conference journals 3d slam 3d robio https www robio org 12 international conference on robotics and biomimetics robio icra https www ieee ras org conferences workshops ful https www ieee ras org conferences workshops fully sponsored icra 5 ieee international conference on robotics and automation bmvc https bmvc2019 org 9 british machine vision conference 3dv http 3dv2020 dgcv nii ac jp 11 international conference on 3d vision http www opticsjournal net journals gxxb htm act http www opticsjournal net journals gxxb htm action index http www opticsjournal net journals zgjg htm http www joelcn com ch index aspx optical engineering https www spiedigitallibrary org journals optica https www spiedigitallibrary org journals optical engineering sso 1 measurment https www journals elsevier com measurement pattern recognition https www journals elsevier com pattern recognit https www journals elsevier com pattern recognition cvpr http cvpr2020 thecvf com 6 ieee conference on computer vision and pattern recognition iccv http iccv2019 thecvf com 10 11 ieee international conference on computer vision eccv https eccv2020 eu 8 european conference on computer vision aaai http www aaai org 5 the association for the advance of artificial intelligence iccp http www iccp ro iccp2019 9 ieee international conference on intelligent computer communication and processing icpr https www icpr2020 it 9 international conference on pattern recognition pr https www journals elsevier com pattern recognit https www journals elsevier com pattern recognition pattern recognition ijcv https www springer com journal 11263 international journal of computer vision cviu https www journals elsevier com computer vision https www journals elsevier com computer vision and image understanding computer vision and image understanding bmvc https bmvc2019 org 9 british machine vision conference artificial intelligence journal of artificial intelligence research pami ieee transactions on pattern analysis and machine intelligence neural computation ieee transactions on neural networks and learning systems icip https 2020 ieeeicip org 10 ieee icip 2020 international conference on image processing tip https ieeexplore ieee org xpl recentissue jsp pu https ieeexplore ieee org xpl recentissue jsp punumber 83 opennewwindow ieee transactions on image processing sippr http www iwsippr org 4 international symposium on signal image processing and pattern recognition icdip http www icdip org 5 international conference on digital image processing icpr https www icpr2020 it 9 international conference on pattern recognition slam icra https www ieee ras org conferences workshops ful https www ieee ras org conferences workshops fully sponsored icra 5 ieee international conference on robotics and automation iros https www iros2019 org 11 international conference on intelligent robots and systems robio https www robio org 12 robio ieee robotics and automation society iccv http iccv2019 thecvf com 10 11 ieee international conference on computer vision cvpr http cvpr2020 thecvf com 6 ieee conference on computer vision and pattern recognition rss https roboticsconference org 6 robotics science and systems aim http aim2020 org 6 ieee asme international conference on advanced intelligent mechatronics icma http 2019 ieee icma org 8 ieee international conference on mechatronics and automation icra https www ieee ras org conferences workshops ful https www ieee ras org conferences workshops fully sponsored icra 5 ieee international conference on robotics and automation cvpr http cvpr2020 thecvf com 6 ieee conference on computer vision and pattern recognition iccv http iccv2019 thecvf com 10 11 ieee international conference on computer vision eccv https eccv2020 eu 8 european conference on computer vision accv http accv2020 kyoto 11 asian conference on computer vision bmvc https bmvc2019 org 9 british machine vision conference tpami https ieeexplore ieee org xpl recentissue jsp pu https ieeexplore ieee org xpl recentissue jsp punumber 34 ieee transactions on pattern analysis and machine intelligence tip https ieeexplore ieee org xpl recentissue jsp ieee transactions on image processing cvpr http cvpr2020 thecvf com 6 ieee conference on computer vision and pattern recognition iccv http iccv2019 thecvf com 10 11 ieee international conference on computer vision eccv https eccv2020 eu 8 european conference on computer vision aaai http www aaai org 5 the association for the advance of artificial intelligence ijcai https www ijcai org 7 international joint conferences on artificial intelligence nips https neurips cc 12 the neural information processing systems icml https icml cc 7 international conference on machine learning ecml https ecmlpkdd2020 net 9 european conference on machine learning acml http www acml conf org 2019 11 asian conference on machine learning ecai http ecai2020 eu 6 european conference on artificial intelligence colt https learningtheory org colt2019 https learningtheory org colt2019 iros https www iros2019 org 11 international conference on intelligent robots and systems icra https www ieee ras org conferences workshops ful https www ieee ras org conferences workshops fully sponsored icra 5 ieee international conference on robotics and automation ieee iv https 2020 ieee iv org 6 ieee intelligent vehicles symposium itsc https www itsc2019 org 10 ieee intelligent transportation systems conference icves http www icves2019 org 9 ieee international conference on vehicular electronics and safety rss https roboticsconference org 6 robotics science and systems miccai http www miccai org 10 international conference on medical image computing and computer assisted intervention isbi http 2020 biomedicalimaging org 4 international symposium on biomedical imaging midl https 2020 midl io 4 international symposium on biomedical imaging 1 2 3 4 isbi http 2020 biomedicalimaging org 4 international symposium on biomedical imaging midl https 2020 midl io 4 international symposium on biomedical imaging sippr http www iwsippr org 4 international symposium on signal image processing and pattern recognition 5 icra https www ieee ras org conferences workshops ful https www ieee ras org conferences workshops fully sponsored icra 5 ieee international conference on robotics and automation aaai http www aaai org 5 the association for the advance of artificial intelligence icdip http www icdip org 5 international conference on digital image processing 6 cvpr http cvpr2020 thecvf com 6 ieee conference on computer vision and pattern recognition rss https roboticsconference org 6 robotics science and systems aim http aim2020 org 6 ieee asme international conference on advanced intelligent mechatronics ecai http ecai2020 eu 6 european conference on artificial intelligence ieee iv https 2020 ieee iv org 6 ieee intelligent vehicles symposium 7 ijcai https www ijcai org 7 international joint conferences on artificial intelligence icml https icml cc 7 international conference on machine learning 8 eccv https eccv2020 eu 8 european conference on computer vision icma http 2019 ieee icma org 8 ieee international conference on mechatronics and automation 9 bmvc https bmvc2019 org 9 british machine vision conference iccp http www iccp ro iccp2019 9 ieee international conference on intelligent computer communication and processing icpr https www icpr2020 it 9 international conference on pattern recognition ecml https ecmlpkdd2020 net 9 european conference on machine learning icves http www icves2019 org 9 ieee international conference on vehicular electronics and safety 10 iccv http iccv2019 thecvf com 10 11 ieee international conference on computer vision icip https 2020 ieeeicip org 10 ieee icip 2020 international conference on image processing itsc https www itsc2019 org 10 ieee intelligent transportation systems conference miccai http www miccai org 10 international conference on medical image computing and computer assisted intervention 11 3dv http 3dv2020 dgcv nii ac jp 11 international conference on 3d vision iccv http iccv2019 thecvf com 10 11 ieee international conference on computer vision iros https www iros2019 org 11 international conference on intelligent robots and systems accv http accv2020 kyoto 11 asian conference on computer vision acml http www acml conf org 2019 11 asian conference on machine learning 12 robio https www robio org 12 international conference on robotics and biomimetics robio nips https neurips cc 12 the neural information processing systems | ai |
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HS-Design | hs design this repository was created for ux ui design tasks where you can track which issues are designed and can be implemented in our products br lines images lines png press kit bellow you can download press kit if you need our brand marks and logotypes for publishing horizontal systems horizontal systems site http horizontalsystems io brand color 05c46b on light background preview images hs logo on light preview png br svg logo presskit hs logo on light svg nbsp nbsp png logo presskit hs logo on light png nbsp nbsp svg mark presskit hs mark on light svg nbsp nbsp png mark presskit hs mark on light png nbsp nbsp on dark background preview images hs logo on dark preview png br svg logo presskit hs logo on dark svg nbsp nbsp png logo presskit hs logo on dark png nbsp nbsp svg mark presskit hs mark on dark svg nbsp nbsp png mark presskit hs mark on dark png nbsp nbsp monochrome preview images hs logo on green preview png br svg logo presskit hs logo monochrome svg nbsp nbsp png logo presskit hs logo monochrome png nbsp nbsp svg mark presskit hs mark monochrome svg nbsp nbsp png mark presskit hs mark monochrome png nbsp nbsp lines images lines png unstoppable wallet unstoppable wallet site http unstoppable money brand color ffbe43 on light background preview images uw logo on light preview png br svg logo presskit uw logo on light svg nbsp nbsp png logo presskit uw logo on light png nbsp nbsp svg mark presskit uw appicon on light svg nbsp nbsp png mark presskit uw appicon on light png nbsp nbsp on dark background preview images uw logo on dark preview png br svg logo presskit uw logo on dark svg nbsp nbsp png logo presskit uw logo on dark png nbsp nbsp svg mark presskit uw appicon on dark svg nbsp nbsp png mark presskit uw appicon on dark png nbsp nbsp monochrome preview images uw logo monochrome preview2 png br svg logo presskit uw logo monochrome svg nbsp nbsp png logo presskit uw logo monochrome png nbsp nbsp svg mark presskit uw appicon monochrome svg nbsp nbsp png mark presskit uw appicon monochrome png nbsp nbsp lines images lines png litrex academy litrex academy site http litrex academy brand color ffbe43 on light background preview images litrex logo on light preview png br svg logo presskit litrex logo on light svg nbsp nbsp png logo presskit litrex logo on light png nbsp nbsp svg mark presskit litrex mark on light svg nbsp nbsp png mark presskit litrex mark on light png nbsp nbsp on dark background preview images litrex logo on dark preview png br svg logo presskit litrex logo on dark svg nbsp nbsp png logo presskit litrex logo on dark png nbsp nbsp svg mark presskit litrex mark on dark svg nbsp nbsp png mark presskit litrex mark on dark png nbsp nbsp monochrome preview images litrex logo monochrome preview png br svg logo presskit litrex logo monochrome svg nbsp nbsp png logo presskit litrex logo monochrome png nbsp nbsp svg mark presskit litrex mark monochrome svg nbsp nbsp png mark presskit litrex mark monochrome png nbsp nbsp lines images lines png definials coming soon http soon | os |
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iTwinUI | p align center picture source media prefers color scheme dark srcset https itwin github io itwinui logo dark svg img src https itwin github io itwinui logo svg alt itwinui logo picture p p align center an open source design system that helps us build a unified web experience p itwinui is a design system for building beautiful and well working web ui components within bentley systems itwin js applications it supports light and dark color schemes and also comes with high contrast versions of both itwinui consists of the following packages itwin itwinui css https github com itwin itwinui blob main packages itwinui css readme md the css for every component as well as some global styles itwin itwinui variables https github com itwin itwinui blob main packages itwinui variables readme md css variables for itwinui s design tokens itwin itwinui react https github com itwin itwinui blob main packages itwinui react readme md react components that consume itwin itwinui css itwinui v3 is now available to upgrade from an older version check out the v3 migration guide https github com itwin itwinui wiki itwinui react v3 migration guide usage the easiest way to get started with itwinui is by using react components from itwin itwinui react jsx import themeprovider button from itwin itwinui react import itwin itwinui react styles css export default function app return themeprovider theme light button hello button themeprovider for more details check out the itwinui documentation website https itwinui bentley com contributing are you interested in helping itwinui grow and expand you can submit feature requests or bugs by creating issues https github com itwin itwinui issues please read our contributing md https github com itwin itwinui blob main contributing md for more information | os |
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imylu | what new unlike imylu 0 1 imylu 0 2 will be based on numpy and scipy to make the code simple and efficient what does imylu do most of popular machine learning algorithms have been implemented by pure python code in the project which is specially recommended for people who would like to learn the algorithm details by reading python code rather than lots of mathematical formulas however the necessary mathematical formulas and derivations are included in the code comments imylu is compatible with python 3 6 3 7 why this name imylu chinese used to pronounce ml as aimu ailu and the name imylu was inspired by this folders guide avatar https github com tushushu imylu blob 0 2 pic dictionary tree png | ai |
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NoobChain-Tutorial-Part-1 | noobchain tutorial part 1 a simple java blockchain for educational purposes this is for https medium com programmers blockchain create simple blockchain java tutorial from scratch 6eeed3cb03fa tutorial if you have any other questions you can message me on the blockchain developers club https discord gg zsyqqyk discord server dependencies you will need to import gson gson gson 2 8 2 jar http central maven org maven2 com google code gson gson 2 8 2 gson 2 8 2 jar java version jdk1 8 0 77 contact kasscrypto gmail com | blockchain |
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mltutorial | machine learning tutorial view notbooks here http nbviewer ipython org github twistedhardware mltutorial tree master notebooks for video tutorial check https www youtube com user roshanrush | ai |
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LearningX | learningx examples and tutorials we provide here a suite of python examples that walk you through concepts in classical deep reinforcement learning basic advanced machine learning usage of the examples is simple just run the main file for each project each project example contains its own readme md file discussing the theory and applications classical reinforcement learning the multi armed bandit problem classical rl multiarmed bandit a href classical rl multiarmed bandits img src classical rl multiarmed bandit images coverart png width 30 a q learning in gridworld classical rl gridworld a href classical rl gridworld img src classical rl gridworld images coverart png width 20 a optimal blackjack strategy classical rl blackjack a href classical rl blackjack img src classical rl blackjack images coverart png width 30 a deep reinforcement learning balancing cartpole beam on openai gym deep rl cartpole a href deep rl cartpole img src deep rl cartpole images cartpole gif width 35 a playing pong from pixels on openai gym deep rl pong a href deep rl pong img src deep rl pong images pong gif width 25 a basic machine learning classification basic ml classification a href basic ml classification img src basic ml classification images coverart png width 25 a decision tree k nearest neighbours logistic regression gradient descent regression basic ml regression a href basic ml regression img src basic ml regression images coverart png width 25 a linear regression gradient descent stochastic gradient descent unsupervised learning basic ml unsupervised a href basic ml unsupervised img src basic ml unsupervised images coverart png width 20 a k means clustering advanced machine learning building model trees advanced ml model tree a href advanced ml model tree img src advanced ml model tree images coverart png width 30 a tree ensembles bagging and boosting advanced ml tree ensembles a href advanced ml tree ensembles img src advanced ml tree ensembles images coverart bagging png width 30 a a href advanced ml tree ensembles img src advanced ml tree ensembles images coverart boosting png width 30 a author anson wong | reinforcement-learning deep-learning neural-network q-learning deep-reinforcement-learning python deep multiagent-reinforcement-learning learning tutorials tutorial-exercises tutorial-code examples machine-learning machine-learning-algorithms data-science optimization agent | ai |
css | p align center a href https webpixels io ref github target blank img src https webpixels s3 eu central 1 amazonaws com public github logo png width 200 height a p h3 align center webpixels css sup 2 sup h3 p align center utility and component centric design system based on bootstrap for fast responsive ui development br a href https webpixels io docs strong explore documentation strong a br br a href https github com webpixels css issues new template bug report md report bug a a href https github com webpixels css issues new template feature request md request feature a a href https webpixels io components ui components a a href https webpixels io blog blog a p p align center a href https webpixels io ref github target blank img src https webpixels s3 eu central 1 amazonaws com public github products css png a p install via npm for most projects and to take advantage of the customization features you ll want to install webpixels css and its peer dependencies via npm txt npm install webpixels css latest bootstrap latest save dev this will automatically install the latest bootstrap version so you don t need to do that manually create the sass files in your scss folder create two new files and name them main scss utility scss import the base styles and components in your main scss you ll import the source sass files bootstrap is automatically loaded when you use the source files so you don t need to worry about what bootstrap files should you incorporate in your styles scss functions import bootstrap scss functions main import webpixels css main import the utility classes in webpixels css you ll notice that we don t create custom styles but rather make use of the utility classes we are using the new bootstrap utility api to generate a comprehensive list of classes in your utility scss you ll import all the utilities scss import webpixels css utility documentation check out our documentation website https webpixels io docs ref github integrations if you want to see how it works check out these functional examples of using bootstrap and webpixels css in common js frameworks like webpack parcel vite and more see all integrations https github com webpixels css tree master integrations detailed ui components library explore copy use and mix hundreds of carefully crafted components made just for bootstrap explore components https webpixels io components ref github beautiful designer made templates get your new web design project started with these amazing templates or copy and paste elements into your existing projects to give them a creative boost explore templates https webpixels io templates ref github community get updates on the development of our css tool and chat with the project maintainers and community members follow webpixels https twitter com intent user screen name webpixels on twitter get inspired through our designs on dribbble https dribbble com webpixels read and subscribe to the official webpixels blog https webpixels io blog join github discussions https github com webpixels css discussions thank you bootstrap https github com twbs bootstrap license made with by webpixels https webpixels io ref github webpixels css is open sourced software licensed under the mit license https github com webpixels css blob master license | css css-framework component-centric utility-classes design-system bootstrap5 sass ui-components bootstrap bootstrap-components bootstrap-template scss ui-development ui-library | os |
ionic-calendar | ionic calendar multilanguage image https raw githubusercontent com gbrits ionic calendar master calendar png raw true a straight forward calendar module that has the optional capability to expand to clickable days and trackable events with unobtrusive boiler plating ionic support this module was tested to ionic v3 19 0 there is currently no support for ionic 4 please feel free to participate and your fixes will be merged installing go ahead and install via npm npm install ionic3 calendar en save within your app module ts file make sure to add the import javascript import calendarmodule from ionic3 calendar en ngmodule imports calendarmodule usage getting started basic usage is as follows javascript ion calendar calendar ion calendar ion calendar calendar lang es ion calendar spanish support ion calendar calendar lang en ion calendar or you can explicitly indicate english to make days clickable and emit back information about the day selected include the ondayselect binding javascript ion calendar calendar ondayselect ondayselect event ion calendar you can add a button to jump to today for ease of navigation javascript button ion button click calendar today jump to today button events adding events to the calendar as seen in the screenshot atop those tiny notification blips can appear on a given day if your backend api responds with the right date makeup for the given month i suggest you write something that provides data for the former and the latter month for the sake of edge days on a given month the month number starts from 0 for january to 11 for december accepted format of data javascript this currentevents year 2017 month 11 date 25 year 2017 month 11 date 26 the consequent invocation of these events would be done like so javascript ion calendar calendar events currentevents ondayselect ondayselect event onmonthselect onmonthselect event ion calendar changelog 20th june 2018 language prop added spanish supported 8th december 2017 added events capability 5th december 2017 added english comments to code added english month names instead of numerals on fe minor colour adjustments for legibility authors laker liu initial work ionic3 calendar https github com laker007 ionic3 calendar it s not what you start in life it s what you finish | front_end |
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picoRTOS | picortos very small lightning fast yet portable rtos with smp suppport presentation picortos is a teeny tiny rtos with as little overhead as humanely possible supported architectures single core arm cortex m0 arm cortex m3 arm cortex m4f atmega2560 avr6 atmega328p avr5 ti c2000 c28x powerpc e200z4 powerpc e200z7 multi core smp powerpc e200z4 smp powerpc e200z7 smp rp2040 smp raspberry pico simulation posix threads linux win32 threads windows working principle on every new schedule tick task 0 is executed first any call to a sleeping function picortos schedule picortos sleep or picortos sleep until will allow the scheduler to move to the next task until it reaches idle or a new tick occurs and the cycle starts over to increase speed and predictability every task is identified by its exclusive level of priority no round robin support is offered no memory management is offered everything is static which makes the static analyzer s job much easier for critical applications advanced features ipcs are available to architectures that support the correct associated atomic operations a small infringement has been made to the hard real time philosophy of the project by supporting the config arch emulate atomic on platforms that don t support native atomic operations this is not recommended though the following ipcs are provided spinlocks require arch test and set futexes require arch test and set re entrant mutexes require arch compare and swap conditions require mutexes how to use copy the picortos directory in your project and add picortos c to your build create a picortosconfig h file at the root of your project sample configs are available for every supported cpu in arch x y samples then add the relevant arch files to your build example for arm cortex m0 src picortos picortos c src picortos arch arm cm0 picortos port c src picortos arch arm cm0 picortos portasm s cflags ipicortos ipicortos arch include ipicortos arch arm cm0 code wise using picortos is quite straightforward include picortos h void main void picortos init struct picortos task task0 struct picortos task task1 static picortos stack t stack0 config default stack count static picortos stack t stack1 config default stack count picortos task init task0 task0 main task0 context stack0 config default task count picortos task init task1 task1 main task1 context stack1 config default task count picortos add task task0 task0 prio picortos add task task1 task1 prio picortos start hint tasks are converted to internal structures in picortos add task and can be local but stacks need to be persistant prefer static to globals to reduce scope demo a bunch of demo code is available under the demo directory so you can see for yourself if this software suits your needs | os |
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SeqGPT | div align center img src assets logo jpg width 55 an out of the box large language model for open domain sequence understanding div tianyu yu chengyue jiang chao lou shen huang xiaobin wang wei liu jiong cai yangning li yinghui li kewei tu hai tao zheng ningyu zhang pengjun xie fei huang yong jiang div div strong damo academy alibaba group strong div div equal contribution corresponding author div div div align center license https img shields io github license alibaba nlp seqgpt license paper https img shields io badge arxiv 2308 10529 red https arxiv org abs 2308 10529 div spotlights div align center img src assets overview jpg width 85 div br a bilingual model english and chinese specially enhanced for open domain nlu trained with diverse synthesized data and high quality nlu dataset handle all nlu tasks that can be transformed into a combination of atomic tasks classification and extraction update news seqgpt is continuously updating we have provided online demos for everyone in the future we will provide new versions of models with upgraded capabilities please continue to pay attention 2023 10 09 we provide api https help aliyun com zh dashscope developer reference opennlu api details of seqgpt 3b for users who want to access larger seqgpt 2023 09 20 we provide a sample script for fine tuning on a custom dataset at here https github com modelscope swift blob main examples pytorch llm scripts seqgpt 560m full sft sh 2023 08 23 we release the weight of seqgpt 560m at both modelscope https www modelscope cn models damo nlp seqgpt 560m and hugging face https huggingface co damo nlp seqgpt 560m you can download and inference with our model simply following the usage case inference 2023 08 23 we provide an online demo of seqgpt at modelscope https www modelscope cn studios ttcoding open ner summary try it now 2023 08 21 we release the paper of seqgpt seqgpt an out of the box large language model for open domain sequence understanding https arxiv org abs 2308 10529 more implementation details and experimental results are presented in the paper performance we perform a human evaluation on seqgpt 7b1 and chatgpt using the held out datasets ten annotators are tasked to decide which model gives the better answer or two models are tied with each other seqgpt 7b1 outperforms chatgpt on 7 10 nlu tasks but lags behind in sentiment analysis sa slot filling sf and natural language inference nli div align center img src assets human eval 7b vs chatgpt jpg width 300 div usage install sh conda create n seqgpt python 3 8 16 conda activate seqgpt pip install r requirements txt inference python from transformers import autotokenizer automodelforcausallm automodel import torch model name or path damo nlp seqgpt 560m tokenizer autotokenizer from pretrained model name or path model automodelforcausallm from pretrained model name or path tokenizer padding side left tokenizer truncation side left if torch cuda is available model model half cuda model eval gen tok gen while true sent input input strip task input classify press 1 extract press 2 strip labels input label set e g labela labelb labelc strip replace task if task 1 else changing the instruction can harm the performance p n n format sent task labels gen tok input ids tokenizer p return tensors pt padding true truncation true max length 1024 input ids input ids to model device outputs model generate input ids num beams 4 do sample false max new tokens 256 input ids input ids get input ids input ids outputs outputs 0 len input ids 0 response tokenizer decode outputs skip special tokens true print bot n format response citation if you found this work useful consider giving this repository a star and citing our paper as followed misc yu2023seqgpt title seqgpt an out of the box large language model for open domain sequence understanding author tianyu yu and chengyue jiang and chao lou and shen huang and xiaobin wang and wei liu and jiong cai and yangning li and yinghui li and kewei tu and hai tao zheng and ningyu zhang and pengjun xie and fei huang and yong jiang year 2023 eprint 2308 10529 archiveprefix arxiv primaryclass cs cl | ai |
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LearningOpenCV3 | learning opencv 3 oreillymedia github https github com oreillymedia learning opencv 3 examples github msvc2015 msvc github bin 250mb opencv 600mb qt dll install 300mb 1 opencv install include lib 2 with qt qt 9 3 opencv enable nonfree 16 4 with opengl 9 qt msvc2015 qt mscv2015 x86 9 10gb wtl 5mb wtl 9 wxwidgets 4gb wxwidgets 9 https www youtube com playlist list pludq35yka fupqgji1m1cucfz914sdt1s https www facebook com groups opencpp https jishin86 github io about https github com yws6909 div float left img src imgs 2 jpg width 20 height 20 img src imgs 3 jpg width 20 height 20 img src imgs 4 jpg width 20 height 20 img src imgs 1 jpg width 20 height 20 div | opencv opencv3 cpp computervision | ai |
InfoTec | infotec tabla de contenido 1 info general info general 2 tecnolog as tecnolog as 3 colaboraci n colaboraci n 4 faqs faqs info general este es un proyecto acad mico de desarrollo web donde implementamos nuestros conocimientos en lenguaje html css y javascript todo esto basado en las ense anzas presentadas en clase screenshot imagen de la portada de la p gina web imagenes infotec sitio png tecnolog as una lista de tecnolog as utilizadas dentro del proyecto git https git scm com github https github com github desktop https desktop github com azure devops https azure microsoft com es mx visual studio code https code visualstudio com version 1 56 2 html version html5 css version css3 javascript version ecmascript 2016 colaboraci n desarrolladores involucrados en el desarrollo de este proyecto anderson david mendoza ramos aldo cupe mej a jos humberto requejo guti rrez faqs una lista de preguntas frecuentes 1 cu l es el prop sito de crear esta p gina web consideramos esta creaci n como una prueba de inicio a nuestra etapa de desarrolladores webs 2 les parece complicado iniciar en el mundo del desarrollo web no consideramos este proceso como algo dificil ya que solo necesitas estos rquisitos para poder internarte en este mundo del desarrollo curiosidad por aprender nuevas cosas creatividad atracci n hacia el mundo de la tecnolog a compromiso | server |
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BESSPIN-FreeRTOS-RISC-V_Galois_demo | this material is based upon work supported by the defense advanced research project agency darpa under contract no hr0011 18 c 0013 any opinions findings conclusions or recommendations expressed in this material are those of the author s and do not necessarily reflect the views of darpa distribution statement a approved for public release distribution unlimited besspin risc v galois p1 set of tests for besspin p1 processors see besspin gfe https github com galoisinc besspin gfe for more details these tests are a part of the test suite for gfe mcus these tests don t need any additional hardware main blinky blinks to the uart to show scheduler runs main full standard full stack freertos demonstration these tests require additional hardware main iic smoketest on i2c interface main gpio toggles gpio pins main uart outputs and reads from both uarts main sd write and read from an sd card main udp udp echo server and client main tcp tcp echo server and client | os |
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Awesome-RegionLLMs | awesome regionllms awesome https awesome re badge svg https awesome re models position enhanced visual instruction tuning for multimodal large language models arxiv 08 2023 paper https arxiv org abs 2308 13437 code https www catalyzex com paper arxiv 2308 13437 code omnidatacomposer a unified data structure for multimodal data fusion and infinite data generation arxiv 08 2023 paper https arxiv org abs 2308 04126 code https github com shajiayu1 omnidatacomposer regionblip a unified multi modal pre training framework for holistic and regional comprehension arxiv 08 2023 paper https arxiv org abs 2308 02299 code https github com mightyzau regionblip qwen vl a frontier large vision language model with versatile abilities arxiv 08 2023 paper https arxiv org abs 2308 12966 code https github com qwenlm qwen vl lisa reasoning segmentation via large language model arxiv 08 2023 paper https arxiv org abs 2308 00692 code https github com dvlab research lisa bubogpt enabling visual grounding in multi modal llms arxiv 07 2023 paper https arxiv org abs 2307 08581 code https github com magic research bubogpt gpt4roi instruction tuning large language model on region of interest arxiv 07 2023 paper https arxiv org abs 2307 03601 code https github com jshilong gpt4roi shikra unleashing multimodal llm s referential dialogue magic arxiv 07 2023 paper https arxiv org abs 2306 15195 code https github com shikras shikra kosmos 2 grounding multimodal large language models to the world arxiv 06 2023 paper https arxiv org abs 2306 14824 code https github com microsoft unilm tree master kosmos 2 visorgpt learning visual prior via generative pre training arxiv 05 2023 paper https arxiv org abs 2305 13777 code https github com sierkinhane visorgpt videochat chat centric video understanding arxiv 05 2023 paper https arxiv org abs 2305 06355 code https github com opengvlab ask anything contextual object detection with multimodal large language models arxiv 05 2023 paper https arxiv org abs 2305 18279 code https github com yuhangzang contextdet caption anything interactive image description with diverse multimodal controls arxiv 05 2023 paper https arxiv org abs 2305 02677 code https github com ttengwang caption anything chatvideo a tracklet centric multimodal and versatile video understanding system arxiv 04 2023 paper https arxiv org abs 2304 14407 what does clip know about a red circle visual prompt engineering for vlms arxiv 04 2023 paper https arxiv org abs 2304 06712 polyformer referring image segmentation as sequential polygon generation arxiv 02 2023 paper https arxiv org abs 2302 07387 code https github com amazon science polygon transformer task dataset refcoco refcocog refcoco visual genome flickr30k | ai |
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eo-learn | package version https badge fury io py eo learn svg https pypi org project eo learn conda version https img shields io conda vn conda forge eo learn svg https anaconda org conda forge eo learn supported python versions https img shields io pypi pyversions eo learn svg style flat square https pypi org project eo learn build status https github com sentinel hub eo learn actions workflows ci action yml badge svg branch master https github com sentinel hub eo learn actions docs status https readthedocs org projects eo learn badge version latest https eo learn readthedocs io license https img shields io pypi l eo learn svg https github com sentinel hub eo learn blob master license overall downloads http pepy tech badge eo learn https pepy tech project eo learn last month downloads https pepy tech badge eo learn month https pepy tech project eo learn docker pulls https img shields io docker pulls sentinelhub eolearn svg https hub docker com r sentinelhub eolearn code coverage https codecov io gh sentinel hub eo learn branch master graph badge svg https codecov io gh sentinel hub eo learn doi https zenodo org badge 135559956 svg https zenodo org badge latestdoi 135559956 img align right src docs source figures eo learn logo png alt width 300 eo learn eo learn makes extraction of valuable information from satellite imagery easy the availability of open earth observation eo data through the copernicus and landsat programs represents an unprecedented resource for many eo applications ranging from ocean and land use and land cover monitoring disaster control emergency services and humanitarian relief given the large amount of high spatial resolution data at high revisit frequency techniques able to automatically extract complex patterns in such spatio temporal data are needed eo learn is a collection of open source python packages that have been developed to seamlessly access and process spatio temporal image sequences acquired by any satellite fleet in a timely and automatic manner eo learn is easy to use it s design modular and encourages collaboration sharing and reusing of specific tasks in a typical eo value extraction workflows such as cloud masking image co registration feature extraction classification etc everyone is free to use any of the available tasks and is encouraged to improve the develop new ones and share them with the rest of the community eo learn makes extraction of valuable information from satellite imagery as easy as defining a sequence of operations to be performed on satellite imagery image below illustrates a processing chain that maps water in satellite imagery by thresholding the normalised difference water index in user specified region of interest docs source figures eo learn illustration png eo learn library acts as a bridge between earth observation remote sensing field and python ecosystem for data science and machine learning the library is written in python and uses numpy arrays to store and handle remote sensing data its aim is to make entry easier for non experts to the field of remote sensing on one hand and bring the state of the art tools for computer vision machine learning and deep learning existing in python ecosystem to remote sensing experts package overview eo learn package is structured into several modules according to different functionalities some modules contain extensions under the extra subfolder those modules typically require additional package dependencies which don t get installed by default since they are usually very specific to the task the modules are core the main module which implements basic building blocks eopatch eotask and eoworkflow and commonly used functionalities coregistration tasks which deal with image co registration features a collection of utilities for extracting data properties and feature manipulation geometry geometry related tasks used for transformation and conversion between vector and raster data io input output tasks that deal with obtaining data from sentinel hub services or saving and loading data locally mask tasks used for masking of data and calculation of cloud snow other masks ml tools various tools that can be used before or after the machine learning process visualization visualization tools for the core elements of eo learn installation requirements the package requires python version 3 8 linux before installing eo learn on linux it is recommended to install the following system libraries bash sudo apt get install gcc libgdal dev graphviz proj bin libproj dev libspatialindex dev mac os before installing eo learn on mac os it is recommended to install the following system libraries with homebrew https brew sh bash brew install graphviz gcc gdal cmake spatialindex proj windows before installing eo learn on windows it is recommended to install the following packages from unofficial windows wheels repository https www lfd uci edu gohlke pythonlibs bash gdal rasterio shapely fiona pypi distribution eo learn is available on pypi and can be installed with bash pip install eo learn for some modules there are extra dependencies available related to specific tasks these were kept separate in order to keep the eo learn installation light you can install these with e g bash pip install eo learn extra pip install eo learn visualization the full list including their descriptions is available here ray for installing ray and its dependencies zarr for installing the zarr functionality for chunked timestamp saving loading extra for installing interpolation and clustering specific dependencies or for installing s2cloudless in cloud masking visualization for using plotting libraries and utilities full for installing all dependencies described so far docs for developers dependencies for building documentation dev for developers dependencies for testing and code contribution conda forge distribution the package requires a python environment 3 8 thanks to the maintainers of the conda forge feedstock benhuff dcunn mwilson8 oblute rluria14 eo learn can be installed using conda forge as follows bash conda config add channels conda forge conda install eo learn run with docker a docker image with the latest released version of eo learn is available at docker hub https hub docker com r sentinelhub eolearn it provides a full installation of eo learn together with a jupyter notebook environment you can pull and run it with bash docker pull sentinelhub eolearn latest docker run p 8888 8888 sentinelhub eolearn latest an extended version of the latest image additionally contains all example notebooks and data to get you started with eo learn run it with bash docker pull sentinelhub eolearn latest examples docker run p 8888 8888 sentinelhub eolearn latest examples both docker images can also be built manually from github repository bash docker build f docker eolearn dockerfile tag sentinelhub eolearn latest docker build f docker eolearn examples dockerfile tag sentinelhub eolearn latest examples documentation for more information on the package content visit readthedocs https eo learn readthedocs io more examples examples and introductions to the package can be found here https github com sentinel hub eo learn tree master examples a larger collection of examples is available at the eo learn examples https github com sentinel hub eo learn examples repository while the examples there are not always up to date they can be a great source of ideas in the past eo learn served as a collection of many useful tasks originating from various contributors or projects in order to keep eo learn light and easy to maintain we have decided to move these specific tasks to eo learn examples extra tasks https github com sentinel hub eo learn examples tree main extra tasks contributions the list of all eo learn contributors are listed in the credits file credits md if you would like to contribute to eo learn please check our contribution guidelines contributing md blog posts and papers introducing eo learn https medium com sentinel hub introducing eo learn ab37f2869f5c by devis peressutti land cover classification with eo learn part 1 mastering satellite image data in an open source python environment https medium com sentinel hub land cover classification with eo learn part 1 2471e8098195 by matic lubej land cover classification with eo learn part 2 going from data to predictions in the comfort of your laptop https medium com sentinel hub land cover classification with eo learn part 2 bd9aa86f8500 by matic lubej land cover classification with eo learn part 3 pushing beyond the point of good enough https medium com sentinel hub land cover classification with eo learn part 3 c62ed9ecd405 by matic lubej innovations in satellite measurements for development https blogs worldbank org opendata innovations satellite measurements development use eo learn with aws sagemaker https medium com drewbo19 use eo learn with aws sagemaker 9420856aafb5 by drew bollinger spatio temporal deep learning an application to land cover classification https www researchgate net publication 333262625 spatio temporal deep learning an application to land cover classification by anze zupanc tree cover prediction with deep learning https medium com dataseries tree cover prediction with deep learning afeb0b663966 by daniel moraite norsc19 workshop on eo learn https github com sentinel hub norsc19 eo learn workshop tracking a rapidly changing planet https medium com developmentseed tracking a rapidly changing planet bc02efe3545d by development seed land cover monitoring system https medium com sentinel hub land cover monitoring system 84406e3019ae by jovan visnjic and matej aleksandrov eo learn webinar https www youtube com watch v rv yk7vbk4o by anze zupanc cloud masks at your service https medium com sentinel hub cloud masks at your service 6e5b2cb2ce8a ml examples for common agriculture policy https medium com sentinel hub area monitoring concept effc2c262583 high level concept https medium com sentinel hub area monitoring concept effc2c262583 data handling https medium com sentinel hub area monitoring data handling c255b215364f outlier detection https medium com sentinel hub area monitoring observation outlier detection 34f86b7cc63 identifying built up areas https medium com sentinel hub area monitoring how to train a binary classifier for built up areas 7f2d7114ed1c similarity score https medium com sentinel hub area monitoring similarity score 72e5cbfb33b6 bare soil marker https medium com sentinel hub area monitoring bare soil marker 608bc95712ae mowing marker https medium com sentinel hub area monitoring mowing marker e99cff0c2d08 pixel level mowing marker https medium com sentinel hub area monitoring pixel level mowing marker 968402a8579b crop type marker https medium com sentinel hub area monitoring crop type marker 1e70f672bf44 homogeneity marker https medium com sentinel hub area monitoring homogeneity marker 742047b834dc parcel boundary detection https medium com sentinel hub parcel boundary detection for cap 2a316a77d2f6 land cover classification still to come minimum agriculture activity still to come combining the markers into decisions https medium com sentinel hub area monitoring combining markers into decisions d74f70fe7721 the challenge of small parcels https medium com sentinel hub area monitoring the challenge of small parcels 96121e169e5b traffic light system https medium com sentinel hub area monitoring traffic light system 4a1348481c40 expert judgement application https medium com sentinel hub expert judgement application 67a07f2feac4 scale up your eo learn workflow using batch processing api https medium com sentinel hub scale up your eo learn workflow using batch processing api d183b70ea237 by maxim lamare questions and issues feel free to ask questions about the package and its use cases at sentinel hub forum https forum sentinel hub com or raise an issue on github https github com sentinel hub eo learn issues you are welcome to send your feedback to the package authors eo research team through any of sentinel hub communication channel https sentinel hub com develop communication channels license see license https github com sentinel hub eo learn blob master license acknowledgements this project has received funding from the european union s horizon 2020 research and innovation programme under grant agreements no 776115 and no 101004112 | machine-learning eo-data eo-research python-package | ai |
eosio.contracts | eosio contracts version 1 9 2 the design of the eosio blockchain calls for a number of smart contracts that are run at a privileged permission level in order to support functions such as block producer registration and voting token staking for cpu and network bandwidth ram purchasing multi sig etc these smart contracts are referred to as the bios system msig wrap formerly known as sudo and token contracts this repository contains examples of these privileged contracts that are useful when deploying managing and or using an eosio blockchain they are provided for reference purposes eosio bios contracts eosio bios eosio system contracts eosio system eosio msig contracts eosio msig eosio wrap contracts eosio wrap the following unprivileged contract s are also part of the system eosio token contracts eosio token dependencies eosio cdt v1 7 x https github com eosio eosio cdt releases tag v1 7 0 eosio v2 0 x https github com eosio eos releases tag v2 0 8 optional dependency only needed to build unit tests build to build the contracts follow the instructions in build and deploy https developers eos io manuals eosio contracts latest build and deploy section contributing contributing guide contributing md code of conduct contributing md conduct license mit license the included icons are provided under the same terms as the software and accompanying documentation the mit license we welcome contributions from the artistically inclined members of the community and if you do send us alternative icons then you are providing them under those same terms important see license license for copyright and license terms all repositories and other materials are provided subject to the terms of this important important md notice and you must familiarize yourself with its terms the notice contains important information limitations and restrictions relating to our software publications trademarks third party resources and forward looking statements by accessing any of our repositories and other materials you accept and agree to the terms of the notice | eosio smart-contracts | blockchain |
samp-stdlib | samp stdlib the san andreas multiplayer pawn standard library package designed for the sampctl package management system http sampctl com the current latest version is 0 3 7 r2 2 1 the master branch head does not currently contain any rc libaries why the package management system built into the sampctl tool is based on github similar to that of the go language so it simplifies the process to have the standard library stored here on github too this means there doesn t need to be any special case code written for the standard library it can just be a package like all others how do versions work versions are represented by git tags https help github com articles working with tags always specify a version when working with sampctl to depend on the latest version simply use sampctl samp stdlib 0 3 7 r2 2 1 as a dependency what happens during release candidates rcs the master branch will contain rc libraries if there is an active rc the most recent rc was 0 3 8 but since this was cancelled this repository contains no 0 3 8 rc libraries version tags are fully compatible with sampctl https github com southclaws sampctl wiki dependencies versioning sampctl http bit ly sampctl simplifies version control this repository exists to help sampctl users who work with multiple sa mp server versions versioning starts at 0 3z specifically 0 3z r1 0 3z is the earliest version supported by sampctl http bit ly sampctl most servers use the latest version so it didn t seem worth archiving every sa mp library version some tags point to the same commit some releases only changed the server s internals and never touched the libraries in these cases the version tags still exist in this repo but they simply point to the same commit | pawn-package sampctl sa-mp standard-library pawn sa-mp-development | os |
VisualQuery | visualquery visually make queries to search or filter | front_end |
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google-cloud-platform | cloud chaos chaos engineering for google cloud platform slack https img shields io badge slack join 20chat 20 e2 86 92 e01563 svg https cloudchaos community slack com github stars https img shields io github stars cloudchaos google cloud platform style social https github com cloudchaos google cloud platform stargazers github issues https img shields io github issues cloudchaos google cloud platform https github com cloudchaos google cloud platform issues getting started installation bash installing ansible sudo apt update sudo apt install software properties common sudo apt install software properties common sudo apt install ansible list of chaos experiment service name chaos experiment name chaos experiment type compute engine cpu utilizer cpu compute engine io utilizer io running chaos experiment shell bash scripts runner sh service name chaos experiment type chaos duration s units example bash scripts runner sh compute engine cpu 10 20 | cloud |
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point2cyl | point2cyl reverse engineering 3d objects from point clouds to extrusion cylinders point2cyl reverse engineering 3d objects from point clouds to extrusion cylinders https arxiv org abs 2112 09329 mikaela angelina uy sup sup yen yu chang sup sup minhyuk sung purvi goel joseph lambourne tolga birdal and leonidas guibas cvpr 2022 pic network teaser v4 compressed png introduction we propose point2cyl a supervised network transforming a raw 3d point cloud to a set of extrusion cylinders reverse engineering from a raw geometry to a cad model is an essential task to enable manipulation of the 3d data in shape editing software and thus expand their usages in many downstream applications particularly the form of cad models having a sequence of extrusion cylinders a 2d sketch plus an extrusion axis and range and their boolean combinations is not only widely used in the cad community software but also has great expressivity of shapes compared to having limited types of primitives e g planes spheres and cylinders in this work we introduce a neural network that solves the extrusion cylinder decomposition problem in a geometry grounded way by first learning un derlying geometric proxies precisely our approach first predicts per point segmentation base barrel labels and nor mals then estimates for the underlying extrusion param eters in differentiable and closed form formulations our experiments show that our approach demonstrates the best performance on two recent cad datasets fusion gallery and deepcad and we further showcase our approach on reverse engineering and editing inproceedings uy point2cyl cvpr22 title point2cyl reverse engineering 3d objects from point clouds to extrusion cylinders author mikaela angelina uy and yen yu chang and minhyuk sung and purvi goel and joseph lambourne and tolga birdal and leonidas guibas booktitle conference on computer vision and pattern recognition cvpr year 2022 pre requisites code was tested using python 3 8 with cuda 11 0 python3 8 m venv env source env bin activate pip install r requirements txt data download dataset downloads can be found in the link http download cs stanford edu orion point2cyl data tar gz and it should be extracted in the project home folder deepcad processed data and splits can be found here http download cs stanford edu orion point2cyl deepcad zip training to train point2cyl without sketches example commands are as follows python train point2cyl without sketch py logdir log point2cyl without sketch pred seg pred normal pred bb data dir data to train point2cyl with sketches example commands are as follows python train point2cyl py logdir log point2cyl pred seg pred normal pred bb pc logdir log point2cyl without sketch is pc init is pc train im logdir results igr dense is im init is im train data dir data evaluation example commands to run evaluation script are as follows for point2cyl without sketches python eval py logdir results point2cyl without sketch dump dir dump point2cyl without sketch data dir data for point2cyl with sketches python eval py logdir results point2cyl dump dir dump point2cyl data dir data pre trained models the pretrained models for our point2cyl can be found in results results deepcad pretrained model can be downloaded here http download cs stanford edu orion point2cyl deepcad zip visualization example commands to run visualization script are as follows python visualizer py logdir results point2cyl model id 55838 a1513314 0000 1 dump dir dump 55838 a1513314 0000 1 output dir output 55838 a1513314 0000 1 data dir data license this repository is released under mit license see license file for details | cloud |
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ObjectRecognitionMobileApplication | objectrecognitionmobileapplication the application and deployment of machine learning models in mobile devices has increased in past years as the processing capacity of mobile devices has increased this brought a whole new level of user experience by giving mobile app developers the ability to integrate the power of machine learning into their apps this represents a big step forward in mobile development as well as normal people the interest of disabled people in smartphones is increasing thanks to the developing machine learning applications the lives of people with disabilities will become easier we are now able to offer the option to experience this on ios devices in this thesis expecting to develop an ios application that can identify the objects in the environment and notify the user with a voice command it is aimed to provide the best and fastest service to users by using ios specific machine learning frameworks project goal is to create a well thought out application that will help society and is aligned with the engineering field we are currently studying used frameworks libraries and models for object recognition mobile application vision used for image classification avkit it creates media playback user interfaces that include transport controls chapter navigation picture in picture support and the display of subtitles and closed captions uikit it covers table views and navigation controllers including core labels and buttons for the ios app avfoundation used for text to speech of classificated object core ml it supports vision for analyzing images resnet50 it s trained model the interface of the object recognition mobile application is designed very simply after the application receives permission to access the camera from the phone the real time camera view will take up most of the application screen the application contains only one screen and the recognized object information on this screen will appear as text in the lower or upper corner at the same time we have printed the information of the object for which image classification has been made as text and this information will be translated into voice commands using the necessary libraries as the app developer a simple speaker icon was used for voice command considering the interface should be simple when the user wants to hear the information of the object by voice command he will press the speaker icon this icon can be placed anywhere on the screen but since right handed users make up the majority of the population it would be more logical to put it on the right side to explain in order the classes that form the basis of the project you see above appdelegate swift it is responsible for handling application level events such as application launch scenedelegate swift responsible for a uiscenesession s scene lifecycle events such as scene creation destruction and state restore viewcontroller swift it is the part where the vision core ml classification codes used in the project are included helper swift it is the class that contains the codes written to transmit the information of the classified object to the user audibly thanks to the avfoundation library main storyboard lunchscreen storyboard it is the class where the interface of the application is created assets xcassets it is the place where files such as png jpeg that should be in the application are kept usually icon design is done here resnet50 mlmodel model weights are stored using full accuracy 32 bit floating point values in this trained model infoplist the plist extension is a format produced by apple that allows you to use it by reading or adding data from the system by saving data in xml format as a structure on xcode | os |
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socialApp-lco | socialapp lco a simple app for learning backend development to understand how routing works a very basic hardcoded api which returns the username followers and the following of the user of instagram linkdin and github learned how to create a api pushing it to heroku and use swagger to write documentation for the api the app is live in production at https lcobhagya herokuapp com and can be accessed using following different routes https lcobhagya herokuapp com api v1 instagram https lcobhagya herokuapp com api v1 linkdn https lcobhagya herokuapp com api v1 github | server |
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SE-HEROES-Social-and-Learning-Game | se heroes social and learning game the purpose of this project is to create a standalone application seheroes that serves as a learning teaching and gaming platform that allows students to learn the knowledge of software development life cycle sldc and provides teachers a teaching platform where they can add questions and give assignments to students our team aims to develop a game app that can complement teachers teachings through game plays seheroes provides a monster fighting game theme user interface that allows users to explore a world full of monsters each world represents a life cycle of the sdlc and students will need to answer questions in mainly mcq format in order to defeat the monsters it enables students to recap and learn by going through questions in a form of battling enemies as they move across levels leaderboard in the game gives students a rough idea of how they are doing compared to the rest whereas the teachers will have their workload reduced as the app provides auto grading upon level completion teachers will be able to assign weekly assignments to students to keep track of their weekly progress and subsequently generate a report to overview the performance of their students se heroes operates using the google firebase firestore for backend development and also unity c for frontend game development | server |
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Scorex | scorex the modular blockchain framework important this is repository of outdated version 1 of scorex framework that is not supported anymore second version of scorex may be found at https github com scorexfoundation scorex motivation there are two huge problems around cryptocurrencies development project scorex aims to weaken bitcoin core source code contains more 100k lines of code 80k of c only nxt is more than 45k line of java code all parts of the design network transactional consensus protocols are mixed in a hard way so researchers and developers are not in good start positions to make experiments in opposite scorex is less than 4k lines of scala code transactional layer is as simple as that consensus algo could be switched easily with two consensus algos out of the box one could be replaced with an another with just one line of code edited new coins are trying to make money immediately often having just one or two pretty controversial feature scorex is the free and open tool aiming to make other systems development easier features compact functional code modular design scala language two 100 proof of stake consensus algos out of the box nxt like and qora like one algo could be replaced with an another with just one line of code edited additional consensus module proof of work consensus algo is available as separate module https github com scorexproject permacoin consensus simplest transactional model asynchronous network layer on top of tcp json api command line client for the json api cryptographic primitives externalized into separate scrypto framework https github com scorexproject scrypto getting started quick start guide https github com scorexproject scorex wiki getting started documentation https github com scorexproject scorex wiki example project https github com scorexproject lagonaki additional consensus module https github com scorexproject permacoin consensus ci http 23 94 190 226 8080 job scorex releases https github com scorexproject scorex releases command line client run cli sh after launching server to issue api requests to it via command line client see api section below some examples of cli commands get blocks first post payment amount 400 fee 1 sender 2kx3dywjpyyflerwprmlhwkl1zgykhapnkr recipient y2bxljiahpumso8ibbdehv81vwknyttxsh more reading besides of documentation https github com scorexproject scorex wiki there are other resources describing scorex articles the architecture of a cryptocurrency docs articles components md on the way to a modular cryptocurrency part 1 generic block structure docs articles modular1 md on the way to a modular cryptocurrency part 2 stackable api docs articles modular2 md on private blockchains technically docs artices private chains md readmes scorex basics sub module scorex basics readme md others api description docs api md please join our mail list https groups io g scorex dev https groups io g scorex dev contributions contributions are welcome please take a look into issues https github com consensusresearch scorex lagonaki issues testing codebase is very small at the moment so writing a test is not just good for start but useful as well license to the extent possible under law the authors have dedicated all copyright and related and neighboring rights to this software to the public domain worldwide this software is distributed without any warranty you can find applied cc0 license legalcode in the copying copying | blockchain |
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laboratory | here is my laboratory building build new software engineering rooms and doing lot of enjoable expriments on tools topic technologies and etc feel free to open issue and contribute to the project p align center img src https img shields io github license mohammadne laboratory style for the badge img src https img shields io github stars mohammadne laboratory style for the badge p | cloud |
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halstack-react | p align center a href https developer dxc com halstack img src website screens common images halstack logo svg alt halstack design system logo a p h1 align center halstack design system h1 halstack is an open source design system built and maintained by dxc technology with the purpose of providing all the necessary tools for designing and implementing accessible intuitive and consistent user experiences with react how to start you can start using halstack right now bash npm i dxc technology halstack react usage jsx import react from react import dxcbutton dxctextinput from dxc technology halstack react const app dxctextinput label enter your name dxcbutton label submit type submit where to start learn everything you need to know about halstack principles and components on the official documentation site https developer dxc com halstack contributing any feedback is always welcome in halstack before opening a new issue pull request or discussion please read carefully and respect our contribution guidelines https github com dxc technology halstack react wiki contributing thanks a href https www chromatic com img src https user images githubusercontent com 321738 84662277 e3db4f80 af1b 11ea 88f5 91d67a5e59f6 png width 153 height 30 alt chromatic a thanks to chromatic https www chromatic com for providing the visual testing platform that helps us review ui changes and catch visual regressions | react design-system ux cdk | os |
hn_summary | p align center img src https github com jiggy ai hn summary blob master hn summary jpg alt hn summary bot avatar width 256 p hn summary is an open source bot which sumarizes top stories on hacker news and publishes the summaries to a telegram channel join the hn summary channel on telegram to see the bot in action and enjoy the story summaries https t me hn summary flag bad summaries on the telegram channel with to help mitigate and improve you can find summaries of the current top hacker news articles here as well https news jiggy ai https news jiggy ai feel free to open pr issue or dm me at wskish on telegram or twitter with feedback overview whenever a new story appears on the hacker news api topstories json endpoint this bot summarizes it currently using openai gpt 3 5 turbo and sends the story title summary and url to the hn summary channel on telegram the purpose of this project is to help build intuition on the capabilities of the current generation of large language models while surfacing a broader swath of top hacker news content it could also serve as a platform for experimentation with other language model capabilities such as semantic search limitations large language models such as gpt 3 are prone to crazy hallucinations and sometimes make things up while writing in a very authoritative tone the code for extracting text from html is very basic and error prone pr s welcome in addition many sites such as news sites are either paywalled or make it difficult to extract text we now attempt to catch this case via prompt engineering but when one does slip through we tend to get fanciful hallucinations based on just the title and fqdn links to content types other than pdf and html are currently ignored text extraction from reddit and twitter and other commercial links are broken and probably produce wildly hallucinated summaries telegram messages are limited to 4k currently the response is truncated to 4k major dependencies the following environment variables are used to inject credentials and other required configuration for the major dependencies openai openai api key your openai api key postgresql database for keeping track of items we have already seen and associated item info hnsum postgres host the database fqdn hnsum postgres user the database username hnsum postgres pass the database password telegram hnsum telegram api token the bot s telegram api token hnsum telegram channel id the telegram chat where the bot will post the summaries | gpt hacker-news news telegram-bot hackernews gpt-3 llm gpt3 gpt-3-prompts | ai |
nuistconnect | macos linux windows alrash webauthenticate https github com alrash webauthenticate bash git clone git github com rrrrrm nuistconnect git nuistconnect sudo nuistconnect install sh i bash sudo nuistconnect install sh u rm r nuistconnect nuistconnect sh bash echo n base64 sudo vim usr local bin nuistconnect sh username domain cmcc chinanet password base64 todo linux c license wtfpl http www wtfpl net xiongzj nuist edu cn xiongzj superbear me | server |
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charcoal | charcoal ui pixiv design system monorepo test https github com pixiv charcoal actions workflows test yml badge svg https github com pixiv charcoal actions workflows test yml storybook storybook badge svg https pixiv github io charcoal this is the monorepo for the charcoal ui packages by pixiv how to use see our documentation https charcoal web pixiv design or readme of each package in packages npm packages package version charcoal ui foundation styled npm version https img shields io npm v charcoal ui foundation https www npmjs com package charcoal ui foundation charcoal ui icons styled npm version https img shields io npm v charcoal ui icons https www npmjs com package charcoal ui icons charcoal ui icons cli styled npm version https img shields io npm v charcoal ui icons cli https www npmjs com package charcoal ui icons cli charcoal ui react styled npm version https img shields io npm v charcoal ui react https www npmjs com package charcoal ui react charcoal ui react sandbox styled npm version https img shields io npm v charcoal ui react sandbox https www npmjs com package charcoal ui react sandbox charcoal ui styled styled npm version https img shields io npm v charcoal ui styled https www npmjs com package charcoal ui styled charcoal ui tailwind config styled npm version https img shields io npm v charcoal ui tailwind config https www npmjs com package charcoal ui tailwind config charcoal ui tailwind diff styled npm version https img shields io npm v charcoal ui tailwind diff https www npmjs com package charcoal ui tailwind diff charcoal ui theme styled npm version https img shields io npm v charcoal ui theme https www npmjs com package charcoal ui theme charcoal ui utils styled npm version https img shields io npm v charcoal ui utils https www npmjs com package charcoal ui utils contribution setup requires yarn and nodenv sh nodenv install cat node version yarn install development start the development server on http localhost 6006 yarn build yarn storybook if you want to start development for documentation site run the following command and go to http localhost 5000 yarn website commit charcoal ui is using commitlint https github com conventional changelog commitlint and following the conventional commits https www conventionalcommits org ja v1 0 0 rules | design-systems ui-library ui-design | os |
ioticos_admin | contributors contributors shield contributors url forks forks shield forks url stargazers stars shield stars url downloads down shield markdown links images https www markdownguide org basic syntax reference style links contributors shield https img shields io github contributors ioticos ioticos admin style plastic contributors url https github com ioticos ioticos admin graphs contributors forks shield https img shields io github forks ioticos ioticos admin label fork style plastic forks url https github com ioticos ioticos admin network members stars shield https img shields io github stars ioticos ioticos admin style plastic stars url https github com ioticos ioticos admin stargazers down shield https img shields io github downloads ioticos ioticos admin total style plastic div align center img src https raw githubusercontent com ioticos ioticos admin master images ioticos png width 400px img div project logo br p align center h1 align center ioticos admin h1 p align center un emprendimiento iot en pocos clics br a href https github com github username repo strong explore the docs strong a br br a href https ioticosadmin ml app ingresa a la demo a a href https github com ioticos ioticos admin issues report bug a a href https github com ioticos ioticos admin issues request feature a p p table of contents contenido sobre el proyecto sobre el proyecto recomendaciones y advertencias recomendaciones y advertencias instalaci n instalaci n configuraci n configuraci n about the project sobre el proyecto div align center img src https raw githubusercontent com ioticos ioticos admin master images dashboard jpg width 800px img div ioticos admin es una plataforma iot desarrolada en php bajo el framework codeigniter br ioticos admin te permitir en pocos pasos tener un sistema iot corriendo en cualquier servicio hosting de m nimas prestaciones br la plataforma puede mostrar datos en tiempo real desde tus dispositivos mediante el broker mqtt de a href https ioticos org ioticos com a br por otro lado tendr s tu propia base de datos mysql tanto para acumular los datos que env an tus dispositivos como para llevar la gesti n de usuarios br importante no dejes de ver el proyecto para esp32 para usar con esta plataforma br br br recomendaciones y advertencias ser de mucha utilidad que te familiarices con el framework codeigniter el proyecto se en cuentra en plena etapa de desarrollo contamos con tu ayuda para mejorarlo getting started instalaci n actualizaci n 31 de enero actualmente hay 2 formas de instalaci n 1 la que requiere un hosting tipo 000webhost link https github com ioticos ioticos admin blob master install hosting md 2 docker vino a quedarse link https github com ioticos ioticos admin blob master install docker md ioticos admin colaboradores pablo gaby benja federico pereira https github com lordbasex project link https github com ioticos ioticos admin https github com ioticos ioticos admin | server |
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eznlp | easy natural language processing overparameterized neural networks are lazy chizat et al 2019 so we design structures and objectives that can be easily optimized eznlp is a pytorch based package for neural natural language processing currently supporting the following tasks text classification experimental results docs text classification md named entity recognition experimental results docs entity recognition md relation extraction experimental results docs relation extraction md attribute extraction machine translation image captioning this repository also maintains the code of our papers check this link docs deep span md for deep span representations for named entity recognition accepted to findings of acl 2023 check this link docs boundary smoothing md for boundary smoothing for named entity recognition in acl 2022 check the annotation scheme publications framework scheme pdf and hwamei 500 publications framework hwamei 500 md dataset described in a unified framework of medical information annotation and extraction for chinese clinical text on artificial intelligence in medicine installation create an environment bash conda create name eznlp python 3 8 conda activate eznlp install dependencies bash conda install numpy 1 18 5 pandas 1 0 5 xlrd 1 2 0 matplotlib 3 2 2 conda install pytorch 1 7 1 torchvision 0 8 2 torchtext 0 8 1 cpuonly cudatoolkit 10 2 cudatoolkit 11 0 c pytorch pip install r requirements txt install eznlp from source recommended bash python setup py sdist pip install dist eznlp version tar gz no deps with pip bash pip install eznlp no deps running the code text classification bash python scripts text classification py dataset dataset options entity recognition bash python scripts entity recognition py dataset dataset options relation extraction bash python scripts relation extraction py dataset dataset options attribute extraction bash python scripts attribute extraction py dataset dataset options citation if you find our code useful please cite the following papers inproceedings zhu2023deep title deep span representations for named entity recognition author zhu enwei and liu yiyang and li jinpeng booktitle findings of the association for computational linguistics acl 2023 month jul year 2023 address toronto canada publisher association for computational linguistics url https aclanthology org 2023 findings acl 672 doi 10 18653 v1 2023 findings acl 672 pages 10565 10582 inproceedings zhu2022boundary title boundary smoothing for named entity recognition author zhu enwei and li jinpeng booktitle proceedings of the 60th annual meeting of the association for computational linguistics volume 1 long papers month may year 2022 address dublin ireland publisher association for computational linguistics url https aclanthology org 2022 acl long 490 doi 10 18653 v1 2022 acl long 490 pages 7096 7108 article zhu2023framework title a unified framework of medical information annotation and extraction for c hinese clinical text author zhu enwei and sheng qilin and yang huanwan and liu yiyang and cai ting and li jinpeng journal artificial intelligence in medicine volume 142 pages 102573 year 2023 publisher elsevier references chizat l oyallon e and bach f on lazy training in differentiable programming in neurips 2019 | natural-language-processing nlp pytorch information-extraction named-entity-recognition | ai |
livingstyleguide | livingstyleguide build status https travis ci org livingstyleguide livingstyleguide svg branch v2 https travis ci org livingstyleguide livingstyleguide easily create living style guides front end style guides pattern libraries by adding markdown documentation to your sass project follow lsgorg https twitter com lsgorg for updates preview https cloud githubusercontent com assets 103399 3854622 2fb68574 1eda 11e4 862c 33e7d7943c56 jpg on the left homify com https www homify com s style guide non public repository on the right http style guide eurucamp org 2015 public repository https github com eurucamp livingstyleguide eurucamp getting started command line interface command line interface rails integration rails integration middleman integration middleman integration grunt grunt gulp gulp broccoli broccoli ember cli ember cli writing examples writing examples styling the style guide styling the style guide command line interface 1 setup gem install livingstyleguide 2 create sass styleguide lsg replace sass with the directory name of your sass files with replace with your default sass scss file name scss application css scss set the html title of the document title my living style guide import all your style guide files import sass lsg 3 write documentation for each module sass partials buttons lsg to describe buttons scss in the same folder buttons button class button example button button button class button primary example button button 4 call livingstyleguide compile sass styleguide lsg public styleguide html this will automatically combine all markdown files and convert them to html create a beautiful style guide saves the style guide as public styleguide html show the html source syntax highlighted close to each example tips for the command line interface create your project with or without compass http compass style org this can be easily integrated into non ruby build systems if you omit the input and output filenames stdin and stdout will be used rails integration be aware from lsg v2 on rails 3 x is not supported due to outdated sprockets and tilt versions 1 setup add this line to your application s gemfile ruby gem livingstyleguide and then execute bundle rails s 2 create app assets stylesheets styleguide html lsg with replace with your default sass scss file name scss application css scss set the html title of the document title my living style guide import all your style guide files import lsg 3 write documentation for each module app assets stylesheets partials buttons lsg to describe buttons sass in the same folder buttons button class button example button button button class button primary example button button 4 open http localhost 3000 assets styleguide html this will automatically combine all markdown files and convert them to html create a beautiful style guide show the html source syntax highlighted close to each example tips for rails add the styleguide html to the precompile list in config application rb ruby config assets precompile styleguide html there is a rails example application https github com livingstyleguide examples tree master rails example available on github use sass rails v5 to allow sass v3 2 ruby gemfile gem sass rails 5 0 0 beta1 see issue 99 https github com livingstyleguide livingstyleguide issues 99 for discussions using it with rails 4 since rails 4 non digest assets are not created anymore if you want a public sharable url consider using something like non stupid digest assets https github com alexspeller non stupid digest assets middleman integration 1 setup add this line to your application s gemfile gem livingstyleguide and then execute bundle middleman 2 create source styleguide html lsg with replace with your default sass scss file name scss application css scss set the html title of the document title my living style guide import all your style guide files import css lsg 3 write documentation for each module source css partials buttons lsg to describe buttons sass in the same folder buttons button class button example button button button class button primary example button button 4 open http localhost 4567 styleguide html this will automatically combine all markdown files and convert them to html create a beautiful style guide show the html source syntax highlighted close to each example tips for middleman don t put the styleguide html lsg into your css folder source css it won t work there is a middleman example application https github com livingstyleguide examples tree master middleman example available on github a more complex production project can be found online http livingstyleguide com eurucamp the complete source of this middleman project is available on github https github com eurucamp livingstyleguide eurucamp you ll find a lot of configuration on how to make the style guide look beautiful grunt see nexwaygroup grunt livingstyleguide https github com nexwaygroup grunt livingstyleguide readme gulp see efacilitation gulp livingstyleguide https github com efacilitation gulp livingstyleguide readme broccoli see livingstyleguide broccoli livingstyleguide https github com livingstyleguide broccoli livingstyleguide usage ember cli see livingstyleguide broccoli livingstyleguide https github com livingstyleguide broccoli livingstyleguide usage comments on ember cli can be found there writing the style guide just write normal markdown the style guide examples are written in code blocks surrounded by three backticks h1 this is an example h1 just make sure when you write a headline put a space between and the headline in other words headline not headline in addition to markdown there are several commands starting with an which automate things to make generating style guides more fun commands can be used within and outside of code blocks but will have a different meaning commands available are import importing files colors colors haml haml examples scss manipulating css per example javascript javascript examples coffee script coffee coffeescript examples font example font examples require require ruby files or gems importing files you can import any other lsg file at any place within any lsg file import a file import folder file lsg import a file lsg will be added by default import folder file import a file starting with folder file lsg this works automatically import folder file import multiple files import folder lsg import folder importing from multiple folders import lsg import importing a haml file the resulting html will be rendered into the style guide import folder file haml import folder haml import haml all file types supported by tilt https github com rtomayko tilt readme can be imported by default import is looking for lsg files writing examples a default example outputs the html source as real html in a wrapper to display the results syntax highligted code below example button class button example button button there are more commands to generate output they start with an and can be put in the code block colors you can automatically generate color swatches out of your sass variables colors light red gray green red dark red black by clicking the color swatch in the style guide users can copy the hex code of the color useful for designers when pointing the cursor on the variable name it will be copied on click instead useful for developers the output will respect newlines the example below will create a 3 3 matrix of color swatches and groups shades in columns which might be more easy to understand leaves a cell empty in the matrix colors light red gray green red dark red black the livingstyleguide also supports css colors and sass functions all of them will work colors red ca1f70 fff rgba 0 0 0 0 5 my color my color function lighten red 10 darken my color 20 haml examples this will output the code as html but display the syntax highlighted source as haml learn how to use haml by default default commands haml button button example button manipulating css per example you can add any css to each example if it helps to make it better in the style guide only for example add some margin between elements button class button example button button button class button primary example button button css button button margin left 3em this adds 3em margin between both buttons to avoid this to affect other examples the css code will be scoped to this example only each example automatically gets a unique id if you need the same css code for several examples you can put the css outside of the example this way it will be scoped to the current file button class button example button button button class button primary example button button a class button example button a a class button primary example button a css button button margin left 3em for sass you can also use sass and scss sass button button margin left 3em scss button button margin left 3em within the scss sass helper all variables mixins of your project are available for example if my styles scss sets my project margin you can write this scss my styles scss scss button button margin left my project margin it is possible to add sass code without scoping works for css scss sass scss scope global code or as a shortcut inspired by sass global variables for scss sass scss global code javascript examples this will show and execute the javascript e g you designed tabs and need few lines of jquery to bring them alive javascript button click function alert hello world coffeescript examples same example but using coffeescript http coffeescript org it will be executed as javascript and displayed as coffeescript coffee script button click alert hello world font examples show which fonts should be used on your website this will output and example text block a z a z 0 9 and some special characters of the given font it accepts valid css like for font 32px comic sans ms font example 32px comic sans ms use your own text defaults to abc nabc n123 n if not set font example 32px comic sans ms schwei gequ lt z ndet typograf jakob verflixt de pangramme an require ruby files or gems you can require any ruby file e g for custom commands or ruby gems e g a compass plugin loads my ruby file rb require my ruby file loads the susy gem must be installed on your system require susy output code if you just want to output code with no extras just like in a normal markdown file you only need to add the language html div some html that just gets syntax higlighted but not put into the document s dom div no syntax highlighter plain div some html that just gets syntax higlighted but not put into the document s dom div default options you can set options to apply to all commands or all commands giving a name this is useful when you depend on haml or other templating engines add a list of default commands to your styleguide html lsg for example without defaults header haml my header my style guide haml my example with defaults default type haml header my header my style guide my example working with existing view templates if you want your style guide to work as an api you might have views already written somewhere else and don t want to write the same html code into the style guide first there is the data command which sets local variables to render the view h1 foo h1 type erb data foo bar this will render as h1 bar h1 in the html but show the erb source below the data is written using json or yaml syntax as json is a subset of yaml h1 foo h1 type erb data format yaml foo bar if there is already a view template let s name it views headline html erb you can use it use views headline html erb data foo bar note you don t need to set the type as this is taken from the view template file suffix tipp edge cases by repeating using the same template with different data you can show edge cases like very long user names or missing values in your style guide styling the style guide custom header the examples in the screenshot above readme use custom headers to have an individual look you can add whatever html you want and some sass to style it to your styleguide html lsg header div class my header img src my style guide logo svg alt my style guide h1 my style guide h1 div you can use any templating engine supported by tilt header type haml my header img src my style guide logo svg alt my style guide h1 my style guide custom footer see custom header custom header just use footer custom head elements see custom header custom header just use head this way you can add any meta tag or link additional files search enable search for the style guide search box this will add a search box on top of the style guide which commands the content via javascript you can also customize e g translate the placeholder for the search box search box placeholder buscar custom settings most of the design of the style guide itself is calculated by few variables in the styleguide html lsg style font family comic sans ms arial sans serif style font size 7em style background color red style border color my color style color eee style code color darken red 10 style color swatch border radius 0 for a full list of options have a look at the source https github com livingstyleguide livingstyleguide blob master stylesheets livingstyleguide scss just strip lsg from the variables every sass expression is allowed variables defined in your production sass are available code color generates a whole color scheme for syntax highlighting in your corporate colors color swatch border radius 0 creates squared color swatches just play a bit and create an individual style guide which represents your personal taste including javascript if you need external javascript files to be included in the style guide there are two options before in the head or after just before the closing body it accepts a list of urls ending with js or plain javascript code javascript before assets modernizr js javascript after http code jquery com jquery 2 1 3 min js javascript after assets application js javascript after function custom code if you use javascript javascript examples or coffee script coffeescript examples your application files and jquery might need to be included in the javascript before section using coffeescript same example as above just using coffeescript note it is using the indented syntax no colon but indent following lines by two spaces which works well with coffeescript javascript before assets modernizr js javascript after http code jquery com jquery 2 1 3 min js javascript after assets application js javascript after transpiler coffee script custom code installation add this line to your application s gemfile ruby gem livingstyleguide and then execute bundle or install it yourself as gem install livingstyleguide contributing 1 fork it 2 create your feature branch git checkout b my new feature 3 check your changes for coding style scss lint c scss style yml scss rubocop config ruby style yml 4 commit your changes git commit am add some feature 5 push to the branch git push origin my new feature 6 create new pull request code of conduct we do follow the contributor covenant code of conduct our version including contact information can be found in code of conduct de contributor covenant code of conduct https www contributor covenant org version 1 4 code of conduct html code of conduct de https livingstyleguide org code of conduct html copyright copyright 2012 2017 nico hagenburger http www hagenburger net see mit license md mit license md for details get in touch with hagenburger http twitter com hagenburger on twitter or open an issue https github com livingstyleguide livingstyleguide issues new | livingstyleguide sass css front-end frontend style-guide styleguide ruby frontend-components rails documentation-tool | front_end |
berry-free-react-admin-template | berry free react material ui admin template tweet https img shields io twitter url http shields io svg style social https twitter com intent tweet text get 20berry 20react 20 20the 20most 20beautiful 20material 20designed 20admin 20dashboard 20template 20 url https berrydashboard io via codedthemes hashtags reactjs webdev developers javascript license mit https img shields io badge license mit yellow svg https opensource org licenses mit price https img shields io badge price free 0098f7 svg https github com codedthemes berry free react admin template blob main license berry is a free material ui admin dashboard template built with react it is meant to provide the best possible user experience with highly customizable feature rich pages it is a complete dashboard template that has easy and intuitive responsive design whether it is viewed on retina screens or laptops star star star do not forget to star top right of this page it if you like the theme star star star img 8566 jpg https berrydashboard io imp images berry github free repo 1 jpg pro version https berrydashboard io of berry react template contains features like typescript next js seed versions apps authentication methods i e jwt auth0 firebase advance components form plugins layouts widgets and many more berry free https berrydashboard io free berry https material ui com store items berry react material admin 9 demo pages 45 demo pages multi language dark light mode typescript version design files figma 6 color options rtl jwt firebase auth0 authentications more components https berrydashboard io dashboard default why berry berry offers everything you need to create dashboards we have included the following high end features in our initial release modern aesthetics ui design material ui components fully responsive all modern browser supported easy to use code structure flexible high performance code easy documentation guide free berry react version preview https berrydashboard io free download from github https github com codedthemes berry free react admin template berry pro version preview https berrydashboard io purchase from mui store https material ui com store items berry react material admin table of contents getting started getting started documentation documentation technology stack technology stack author author issues issues license license more products more free react material admin templates follow us follow us getting started clone from github git clone https github com codedthemes berry free react admin template git documentation berry documentation https codedthemes gitbook io berry helps you with installation deployment and troubleshooting technology stack material ui v5 https material ui com built with react hooks api redux react context api for state management react router for navigation routing support of react script code splitting css in js where css is composed using javascript instead of defined in external files author berry is developed by team codedthemes https codedthemes com issues to report a bug please submit an issue https github com codedthemes berry free react admin template issues on github we will respond as soon as possible to resolve the issue license licensed cover under mit https github com codedthemes datta able bootstrap dashboard blob master license berry nodejs version by appseed free nodejs https appseed us product react node js berry dashboard premium berry nodejs https appseed us full stack react berry dashboard more free react material admin templates free materially https codedthemes com item materially free reactjs admin template free mantis https mantisdashboard io free img 8566 jpg https camo githubusercontent com a2364ad8c498b2a7378dae5e1a5eb5d8e1fcb2d6ceeb8b54acdc2e8bc2508775 68747470733a2f2f6d616e74697364617368626f6172642e696f2f6164762d62616e6e65722d696d616765732f6f672d736f6369616c2e706e67 https mantisdashboard io free more premium react material admin templates mantis https mui com store items mantis react admin dashboard template materially https codedthemes com item materially reactjs admin dashboard follow us website https berrydashboard io blog https blog berrydashboard io codedthemes https codedthemes com dribbble https dribbble com codedthemes facebook https www facebook com codedthemes twitter https twitter com codedthemes | berry-react-template material-ui reactjs react javascript-applications material-design material-theme freeadmintemplate dashboard-templates react-dashboard hacktoberfest react-18 react-remix remix remix-run | front_end |
frontpress | frontpress logo horizontal https cloud githubusercontent com assets 762639 21735541 ca6f11ce d451 11e6 88ae 291b3f82c931 png a full front end angularjs template for wordpress rest api build status https travis ci org frontpressorg frontpress svg branch master https travis ci org frontpressorg frontpress gitter chat https badges gitter im teles frontpress svg https gitter im teles frontpress cdnjs https img shields io cdnjs v frontpress svg https cdnjs com libraries frontpress bower version https img shields io bower v frontpress svg npm version https img shields io npm v frontpress svg https www npmjs com package frontpress codacy badge https api codacy com project badge coverage da783fc5da8c4f0e98d6f0a18d01dc0b https www codacy com app frontpress frontpress codacy coverage https api codacy com project badge grade 8da469f973d143189c352cdd852d23ca https www codacy com app josetelesmaciel frontpress dependencies status https david dm org teles frontpress status svg https david dm org teles frontpress devdependencies status https david dm org teles frontpress dev status svg https david dm org teles frontpress type dev install frontpress using npm shell npm install frontpress save angularjs is the only frontpress dependency you will need to import html script type text javascript src path to angular min js script script type text javascript src path to frontpress release frontpress min js script you may install frontpress using bower https github com frontpressorg frontpress wiki installation bower package or import it directly from cdn using cdnjs https github com frontpressorg frontpress wiki installation cdn js usage add frontpress to your required modules list javascript angular module myblog frontpress make your index html your minimal index html can be just like that html doctype html html ng app myblog include frontpress page head attribute directive if you want head page head script type text javascript src path to angular min js script script type text javascript src path to frontpress release frontpress min js script script type text javascript src path to my blog javascript js script head body ui view directive is required ui view ui view body html configure your javascript configure your module using frontpressprovider javascript angular module myblog config function frontpressprovider frontpressprovider configure load restapiurl https demo wp api org wp json apiversion v2 pagesize 5 infinitescroll true routes post postyear postmonth postday postslug home pagination page pagenumber titles post posttitle sitename home home sitename overrides sitename my awesome spa blog contributing if you want to contribute to frontpress main code start by running a build version of the code bash npm run dev more info on contributing md contributing md it s done disclaimer by default as any spa frontpress homepage will run on a route further relevant informations how can i discover my restapiurl https github com frontpressorg frontpress wiki how to use frontpress for wordpress api version 1 https github com frontpressorg frontpress wiki what configuration is required https github com frontpressorg frontpress wiki all configuration options https github com frontpressorg frontpress wiki what is a spa and why you should care about it https github com frontpressorg frontpress wiki readme for frontpress core developers https github com frontpressorg frontpress wiki license mit teles https github com teles | wordpress-api angularjs spa angularjs-templates cdnjs wordpress angular wordpress-theme | front_end |
ComputeLibrary | important from release 22 05 master branch has been replaced with main following our inclusive language update more information here https arm software github io computelibrary latest contribution guidelines xhtml s5 0 inc lang important from release 22 08 armv7a with android build will no longer be tested or maintained important from release 23 02 the 23 02 release introduces a change to the default tensor extend padding behavior to remain compatible with previous behavior users will need to set the new flag itensorinfo lock paddings on tensors for which paddings should not be extended such as the input and output of the model that need to be mapped to a camera frame or frame buffer br div align center img src https raw githubusercontent com arm software computelibrary gh pages acl logo png br br div compute library https img shields io badge latest release 23 08 green the compute library is a collection of low level machine learning functions optimized for arm cortex a arm neoverse and arm mali gpus architectures br the library provides superior performance to other open source alternatives and immediate support for new arm technologies e g sve2 key features open source software available under a permissive mit license over 100 machine learning functions for cpu and gpu multiple convolution algorithms gemm winograd fft direct and indirect gemm support for multiple data types fp32 fp16 int8 uint8 bfloat16 micro architecture optimization for key ml primitives highly configurable build options enabling lightweight binaries advanced optimization techniques such as kernel fusion fast math enablement and texture utilization device and workload specific tuning using opencl tuner and gemm optimized heuristics br repository link release https github com arm software computelibrary development https review mlplatform org admin projects ml computelibrary br documentation documentation https img shields io badge documentation 23 08 green https arm software github io computelibrary latest note the documentation includes the reference api changelogs build guide contribution guide errata etc br pre built binaries all the binaries can be downloaded from here https github com arm software computelibrary releases or from the tables below br platform operating system release archive download raspberry pi 4 linux 32bit https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux armv7a neon tar gz raspberry pi 4 linux 64bit https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a neon tar gz odroid n2 linux 64bit https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a neon tar gz https img shields io badge build opencl blue https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a cl tar gz https img shields io badge build neon cl yellowgreen https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a neon cl tar gz hikey960 linux 64bit https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a neon tar gz https img shields io badge build opencl blue https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a cl tar gz https img shields io badge build neon cl yellowgreen https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a neon cl tar gz br architecture operating system release archive download armv7 linux https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux armv7a neon tar gz https img shields io badge build opencl blue https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux armv7a cl tar gz https img shields io badge build neon cl yellowgreen https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux armv7a neon cl tar gz arm64 v8a android https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin android arm64 v8a neon tar gz https img shields io badge build opencl blue https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin android arm64 v8a cl tar gz https img shields io badge build neon cl yellowgreen https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin android arm64 v8a neon cl tar gz arm64 v8a linux https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a neon tar gz https img shields io badge build opencl blue https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a cl tar gz https img shields io badge build neon cl yellowgreen https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8a neon cl tar gz arm64 v8 2 a android https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin android arm64 v8 2 a neon tar gz https img shields io badge build opencl blue https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin android arm64 v8 2 a cl tar gz https img shields io badge build neon cl yellowgreen https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin android arm64 v8 2 a neon cl tar gz arm64 v8 2 a linux https img shields io badge build neon orange https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8 2 a neon tar gz https img shields io badge build opencl blue https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8 2 a cl tar gz https img shields io badge build neon cl yellowgreen https github com arm software computelibrary releases download v23 08 arm compute v23 08 bin linux arm64 v8 2 a neon cl tar gz br please refer to the following link for more pre built binaries https img shields io badge v23 08 bins yellowgreen https github com arm software computelibrary releases tag v23 08 pre build binaries are generated with the following security good coding practices related flags wall wextra wformat 2 winit self wstrict overflow 2 wswitch default woverloaded virtual wformat security wctor dtor privacy wsign promo weffc pedantic fstack protector strong supported architectures technologies arm cpus arm cortex a processor family using arm neon technology arm neoverse processor family arm cortex r processor family with armv8 r aarch64 architecture using arm neon technology arm cortex x1 processor using arm neon technology arm mali gpus arm mali g processor family arm mali t processor family x86 br supported systems android bare metal linux openbsd macos tizen br resources tutorial running alexnet on raspberry pi with compute library https community arm com processors b blog posts running alexnet on raspberry pi with compute library gian marco s talk on performance analysis for optimizing embedded deep learning inference software https www embedded vision com platinum members arm embedded vision training videos pages may 2019 embedded vision summit gian marco s talk on optimizing cnns with winograd algorithms at the evs https www embedded vision com platinum members arm embedded vision training videos pages may 2018 embedded vision summit iodice gian marco s talk on using sgemm and ffts to accelerate deep learning https www embedded vision com platinum members arm embedded vision training videos pages may 2016 embedded vision summit iodice br experimental builds important bazel and cmake builds are experimental cpu only builds please see the documentation https arm software github io computelibrary latest how to build xhtml for more details br how to contribute contributions to the compute library are more than welcome if you are interested on contributing please have a look at our how to contribute guidelines https arm software github io computelibrary latest contribution guidelines xhtml developer certificate of origin dco before the compute library accepts your contribution you need to certify its origin and give us your permission to manage this process we use the developer certificate of origin dco v1 1 https developercertificate org to indicate that you agree to the the terms of the dco you sign off your contribution by adding a line with your name and e mail address to every git commit message signed off by john doe john doe example org you must use your real name no pseudonyms or anonymous contributions are accepted public mailing list for technical discussion the computelibrary project has a public mailing list acl dev lists linaro org the list is open to anyone inside or outside of arm to self subscribe in order to subscribe please visit the following website https lists linaro org mailman3 lists acl dev lists linaro org br license and contributions the software is provided under mit license contributions to this project are accepted under the same license other projects this project contains code from other projects as listed below the original license text is included in those source files the opencl header library is licensed under apache license version 2 0 which is a permissive license compatible with mit license the half library is licensed under mit license the libnpy library is licensed under mit license the stb image library is either licensed under mit license or is in public domain it is used by this project under the terms of mit license br trademarks and copyrights android is a trademark of google llc arm cortex mali and neon are registered trademarks or trademarks of arm limited or its subsidiaries in the us and or elsewhere bazel is a trademark of google llc registered in the u s and other countries cmake is a trademark of kitware inc registered in the u s and other countries linux is the registered trademark of linus torvalds in the u s and other countries mac and macos are trademarks of apple inc registered in the u s and other countries tizen is a registered trademark of the linux foundation windows is a trademark of the microsoft group of companies | neon opencl computer-vision arm armv7 armv8 aarch64 machine-learning simd android cpp neural-network sve linux | ai |
cs193p-Fall-2017 | stanford engineering cs193p developing ios 11 apps with swift fall 2017 art itunesu jpg raw true this repo contains my lecture notes and projects from paul hegarty s classic cs 193p iphone application development course http web stanford edu class cs193p cgi bin drupal offered by the school of engineering at stanford and is available on itunes u https itunes apple com us course developing ios 11 apps with swift id1309275316 this course is described as being updated for ios 11 and swift 4 tools and apis required to build applications for the iphone and ipad platforms using the ios sdk the course covers user interface design for mobile devices and unique user interactions using multi touch technologies object oriented design using model view controller paradigm memory management the swift programming language other topics include animation mobile device power management multi threading networking and performance considerations apple documents apple developer documentation https developer apple com documentation swift org https swift org swift programming language https developer apple com library content documentation swift conceptual swift programming language index html swift api guidelines https swift org documentation api design guidelines other tutorials lets build that app https www letsbuildthatapp com art play png raw true https www youtube com channel ucup2vj6krutqbfrmdci92ma code with chris https codewithchris com art play png raw true https www youtube com channel uc2d6ervcemtcf5oghf1 trw the 7 day app action plan https codewithchris com actionplan cornell https www youtube com channel ucudpjox1yprgxso6aftbzsg art play png raw true https youtu be wwjqigjvnaa brian advent art play png raw true https www youtube com channel ucysengjfeiyapeer9k8aikw ray wenderlich https www raywenderlich com art play png raw true https www youtube com user rwenderlich lectures lecture slides code video date 1 course overview intro to ios 11 xcode 9 and swift 4 https drive google com open id 13hhb7smc4z8jeotzukhu9dv3u6z7jqr8 art xcode png raw true democode lecture 1 concentration art play png raw true https youtu be 71pyob4tpre list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 2 mvc concentration demo continued https drive google com open id 16jrukjgdrr gve1a5dzmxapm0uhllb3z art xcode png raw true democode lecture 2 concentration art play png raw true https youtu be w7a79cx3uay list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 3 swift programming language https drive google com open id 1q9653aft1nwu0dg1rzzmmcw0yu1w28dq art xcode png raw true democode lecture 3 concentration art play png raw true https youtu be zbpjtpzf8x4 list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 4 more swift https drive google com open id 1uip1suseihw4xcjr6fc c0ljpbvrnxgj art play png raw true https youtu be fu2v0yrqiow list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 5 drawing https drive google com open id 1jn0swh3ssuf037fo5vmm1ll08q2gebne art play png raw true https youtu be h2hm2atanru list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 6 multitouch https drive google com open id 1wkos1q03lcvuwh5t0n0dg7en3urye0zr art play png raw true https youtu be a0x5j3m2i8 list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 7 multiple mvcs timer and animation https drive google com open id 1upqheyzftxhw4dl93dh0y1t0bui t7xg art play png raw true https youtu be 5b5irk9wyji list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 8 animation https drive google com open id 1czbesrn58elxi9et3w y2dbmm4cwic5s art play png raw true https youtu be 84zhyhawyqo list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 9 view controller lifecycle and scroll view https drive google com open id 14l1o5jiwgxhay3mo17okmzrkhhwwpy7g art play png raw true https youtu be tlspovdxdg8 list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 10 multithreading and autolayout https drive google com open id 1wihyotfsejeuqtks80iy af3wqur1dhy art play png raw true https youtu be kl2bdyisgoc list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 11 drag and drop table view and collection view https drive google com open id 1omjkzrxjzk8oacr9m0grkzn3sdq npy4 art play png raw true https youtu be m3x9o9wbn9o list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 12 drag and drop table view collection view and text field https drive google com open id 1wds sd ctyanfnqgq5j 15qpk62qdiy art play png raw true https youtu be ctulaxbitho list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 13 persistence and documents https drive google com open id 1qjbyagxjrswoyplet qfn48dpvzoqkhs art play png raw true https youtu be ckcjijbxyly list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 14 persistence and documents demo https drive google com open id 1ljcjc8cjxn3zc linoex7 ivzkq6 0jv art play png raw true https youtu be gs3kj4xsqdy list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 15 alerts notifications application lifecycle https drive google com open id 1ciuti2ljfdcz0 wozb2mqzaxbacf5bbj art play png raw true https youtu be k1tmzhuuyt0 list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 16 more segues https drive google com open id 1fkbupdlplig2yhwyxwhzueeaump0bq 6 art play png raw true https youtu be ke9fzodg5pk list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 17 core motion and camera https drive google com open id 1cnxorvzbztwqi0nqthdgqtx0y1c54p4x art play png raw true https youtu be qoty7cel9za list plpa aybrweuzgfmkt w65z64mognkrzmq fall 2017 friday sessions sessions lecture video date 1 debugging and xcode tips and tricks art play png raw true https youtu be utig4lt7t8 fall 2017 2 github and source control workflow art play png raw true https youtu be lvhxql24eos fall 2017 3 instruments art play png raw true https youtu be s soycybngu fall 2017 reading assignments reading name 1 reading 1 intro to swift https drive google com open id 1hda3ipwauwrwqx rd qu oycpvwlddnd 2 reading 2 intro to swift https drive google com open id 1qtjisckqugjco3 2jh0kwqxnsy8gnpf1 3 reading 3 finishing off swift https drive google com open id 1vvosik2igrgqkjznivfntub4dwq6ncdj assignments ps name code 1 assignment 1 concentration https drive google com open id 1u b4agsqqkbrou5dtkryhz6nwdqdws8g 2 assignment 2 set https drive google com open id 14bpf6u5yygdfnxiirtzrhjjxajpyxfyt 3 assignment 3 graphical set https drive google com open id 1ilax7nrz80mke8 tstmo7hnnjgpxzhpe 4 assignment 4 animated set https drive google com open id 1xgem7hnwycnvsccb5akpz6sqzxge3zst 5 assignment 5 image gallery https drive google com open id 1l4tgfykwhd3oxuogxhql 9ucafe6nxxk 6 assignment 6 persistent image gallery https drive google com open id 1gjakftrhzsrh1sezkzuav8kxvkjcxjgp licensing my cs193p projects are licensed under the mit license license | iphone swift swift-programming-language stanford ios11 ios | os |
tiny-rtos | tinysevenos this project is pretty suitable for newbees to learn some rtos specially embedded really time os teches and c skills | os |
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webscraping-plant-daddy | webscraping studies | server |
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TG-Reading-List | text generation reading list this is a text generation reading list maintained by the tsinghua natural language processing group we will keep adding papers and improving the list any suggestions are welcome datasets datasets story generation story generation text generation text generation tools tools papers papers related papers prepare papers seq2seq based methods seq2seq based variational autoencoder based methods vae based generative adversarial nets based methods gan based reinforcement learning based methods rl based knowledge based methods kbs based style transfer style transfer h2 id datasets datasets h2 h3 id story generation story generation h2 rocstories http cs rochester edu nlp rocstories mostafazadeh nasrin and chambers nathanael and he xiaodong and parikh devi and batra dhruv and vanderwende lucy and kohli pushmeet and allen james 2016 a corpus and evaluation framework for deeper understanding of commonsense stories https www aclweb org anthology n16 1098 in proceedings of naacl hlt 2016 vist http visionandlanguage net vist huang ting hao kenneth and ferraro francis and mostafazadeh nasrin and misra ishan and agrawal aishwarya and devlin jacob and girshick ross and he xiaodong and kohli pushmeet and batra dhruv and zitnick c lawrence and parikh devi and vanderwende lucy and galley michel and mitchell margaret 2016 visual storytelling https www aclweb org anthology n16 1147v1 in proceedings of acl 2016 writingprompts https dl fbaipublicfiles com fairseq data writingprompts tar gz fan angela and lewis mike and dauphin yann 2018 hierarchical neural story generation http aclweb org anthology p18 1082 in proceedings of acl 2018 h3 id text generation text generation h2 yelp review generation dataset https drive google com open id 1xct04xwrvhbrsa7t5fev2wsukjmd4snk xu jingjing and ren xuancheng and lin junyang and sun xu 2018 diversity promoting gan a cross entropy based generative adversarial network for diversified text generation http www aclweb org anthology d18 1428 in proceedings of emnlp 2018 amazon review generation dataset https s3 amazonaws com amazon reviews pds readme html mcauley julian john and leskovec jure 2013 from amateurs to connoisseurs modeling the evolution of user expertise through online reviews https arxiv org pdf 1303 4402 in proceedings of www 2013 zhihu dataset https github com hit computer mta lstm and composition dataset https github com hit computer mta lstm feng xiaocheng and liu ming and liu jiahao and qin bing and sun yibo and liu ting 2018 topic to essay generation with neural networks https www ijcai org proceedings 2018 0567 pdf in proceedings of ijcai 2018 acl title and abstract dataset https github com eaglew acl titles abstracts dataset wang qingyun and zhou zhihao and huang lifu and whitehead spencer and zhang boliang and ji heng and knight kevin 2018 paper abstract writing through editing mechanism https aclweb org anthology p18 2042 in proceedings of acl 2018 agenda dataset https github com rikdz graphwriter rik koncel kedziorski and dhanush bekal and yi luan and mirella lapata and hannaneh hajishirzi 2019 text generation from knowledge graphs with graph transformers https arxiv org pdf 1904 02342 in proceedings of naacl hlt 2019 data4stylizeds2s https github com markwunlp data4stylizeds2s wu yu and wang yunli and liu shujie 2020 a dataset for low resource stylized sequence to sequence generation https www msra cn wp content uploads 2020 01 a dataset for low resource stylized sequence to sequence generation pdf in proceedings of aaai 2020 h2 id tools tools h2 hu zhiting and yang zichao and zhao tiancheng and shi haoran and he junxian and wang di and ma xuezhe and liu zhengzhong and liang xiaodan and qin lianhui and others 2018 texar a modularized versatile and extensible toolbox for text generation http www aclweb org anthology w18 2503 in proceedings of acl 2018 github https github com asyml texar zhu yaoming and lu sidi and zheng lei and guo jiaxian and zhang weinan and wang jun and yu yong 2018 textgen a benchmarking platform for text generation models https arxiv org pdf 1802 01886 in proceedings of sigir 2018 github https github com geek ai texygen radford alec and wu jeffrey and child rewon and luan david and amodei dario and sutskever ilya 2019 language models are unsupervised multitask learners https www techbooky com wp content uploads 2019 02 better language models and their implications pdf openai blog 1 8 github https github com openai gpt 2 seraphina goldfarb tarrant and haining feng and nanyun peng 2019 plan write and revise an interactive system for open domain story generation https arxiv org pdf 1904 02357 in proceedings of naacl hlt 2019 github https github com seraphinatarrant plan write revise xu qiongkai and xu chenchen and qu lizhen 2019 alter auxiliary text rewriting tool for neural language generation https arxiv org pdf 1909 06564 in proceedings of emnlp 2018 demo github https github com xuqiongkai alter h2 id 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code https github com shrimai style transfer through back translation citation https scholar google com hk scholar cites 9688974258985905206 as sdt 2005 sciodt 0 5 hl en 47 xu jingjing and sun xu and zeng qi and ren xuancheng and zhang xiaodong and wang houfeng and li wenjie 2018 unpaired sentiment to sentiment translation a cycled reinforcement learning approach https www aclweb org anthology p18 1090 in proceedings of acl 2018 code https github com lancopku unpaired sentiment translation citation https scholar google com hk scholar cites 14501351265800361600 as sdt 2005 sciodt 0 5 hl en 21 santos cicero nogueira dos and melnyk igor and padhi inkit 2018 fighting offensive language on social media with unsupervised text style transfer https www aclweb org anthology p18 2031 in proceedings of acl 2018 citation https scholar google com hk scholar cites 2210048976046793442 as sdt 2005 sciodt 0 5 hl en 9 yang zichao and hu zhiying and dyer chris and xing eric p and berg kirkpatrick taylor 2018 unsupervised text style transfer using language models as discriminators https papers nips cc paper 7959 unsupervised text style transfer using language models as discriminators pdf in proceedings of neurips 2018 citation https scholar google com hk scholar cites 488841870167588176 as sdt 2005 sciodt 0 5 hl en 31 zhang zhirui and ren shuo and liu shujie and wang jianyong and chen peng and li mu and zhou ming and chen enhong 2018 style transfer as unsupervised machine translation https arxiv org pdf 1808 07894 arxiv preprint arxiv 1808 07894 citation https scholar google com hk scholar cites 1955701347518044479 as sdt 2005 sciodt 0 5 hl en 5 gong hongyu and bhat suma and wu lingfei and xiong jinjun and hwu wen mei 2019 reinforcement learning based text style transfer without parallel training corpus https www aclweb org anthology n19 1320 in proceedings of naacl hlt 2019 citation https scholar google com hk scholar cites 4008944923987714295 as sdt 2005 sciodt 0 5 hl en 1 luo fuli and li peng and zhou jie and yang pengcheng and chang baobao and sui zhifang and sun xu 2019 a dual reinforcement learning framework for unsupervised text style transfer https arxiv org pdf 1905 10060 in proceedings of ijcai 2019 code https github com luofuli dualrl citation https scholar google com hk scholar cites 3399351837013788481 as sdt 2005 sciodt 0 5 hl en 3 lee joseph and xie ziang and wang cindy and drach max and jurafsky dan and ng andrew y 2019 neural text style transfer via denoising and reranking https www aclweb org anthology w19 2309 in proceedings of acl 2019 workshop tian youzhi and hu zhiting and yu zhou 2018 structured content preservation for unsupervised text style transfer https arxiv org pdf 1810 06526 pdf arxiv preprint arxiv 1810 06526 code https github com youzhitian structured content preservation for unsupervised text style transfer citation https scholar google com hk scholar cites 11482628433107496292 as sdt 2005 sciodt 0 5 hl zh cn 2 fu zhenxin and tan xiaoye and peng nanyun and zhao dongyan and yan rui 2018 style transfer in text exploration and evaluation https www aaai org ocs index php aaai aaai18 paper viewfile 17015 15745 in proceedings of aaai 2018 code https github com fuzhenxin text style transfer citation https scholar google com hk scholar cites 9103690709456613215 as sdt 2005 sciodt 0 5 hl zh cn 69 jin zhijing and jin di and jonas mueller and nicholas matthews and enrico santus 2019 imat unsupervised text attribute transfer via iterative matching and translation https arxiv org pdf 1901 11333 pdf proceedings of emnlp 2019 code https github com zhijing jin imt citation https scholar google com hk scholar cites 13989233818887797462 as sdt 2005 sciodt 0 5 hl zh cn 1 guillaume lample sandeep subramanian eric smith ludovic denoyer marc aurelio ranzato y lan boureau 2019 multiple attribute text style transfer rewriting https openreview net pdf id h1g2nhc5kq proceedings of iclr 2019 citation https scholar google com hk scholar cites 9470659499240433770 as sdt 2005 sciodt 0 5 hl zh cn 5 ruochen xu tao ge furu wei 2019 formality style transfer with hybrid textual annotations https arxiv org pdf 1903 06353 pdf arxiv preprint arxiv 1903 06353 vineet john lili mou hareesh bahuleyan olga vechtomova 2018 disentangled representation learning for non parallel text style transfer https arxiv org pdf 1808 04339 pdf arxiv preprint arxiv 1808 04339 code https github com vineetjohn linguistic style transfer citation https scholar google com hk scholar cites 9121025177635026925 as sdt 2005 sciodt 0 5 hl zh cn 9 zhao yanoeng and bi wei and cai deng and liu xiaojiang and tu kewei and shi shuming 2018 language style transfer from sentences with arbitrary unknown styles https arxiv org pdf 1808 04071 pdf arxiv preprint arxiv 1808 04071 citation https scholar google com hk scholar cites 3245751791305360380 as sdt 2005 sciodt 0 5 hl zh cn 2 yuanzhe pang and kevin gimpel 2018 learning criteria and evaluation metrics for textual transfer between non parallel corpora https arxiv org pdf 1810 11878 pdf arxiv preprint arxiv 1810 11878 jonas mueller david gifford tommi jaakkola 2017 sequence to better sequence continuous revision of combinatorial structures http proceedings mlr press v70 mueller17a mueller17a pdf in proceedings of icml 2017 citation https scholar google com hk scholar cites 4687027610989448483 as sdt 2005 sciodt 0 5 hl zh cn 36 alexey romanov anna rumshisky anna rogers and david donahue 2019 adversarial decomposition of text representation https arxiv org pdf 1808 09042 pdf in proceedings of naacl 2019 remi mir bjarke felbo nick obradovich iyad rahwan 2019 evaluating style transfer for text https arxiv org pdf 1904 02295 pdf in proceedings of naacl 2019 ning dai jianze liang xipeng qiu xuanjing huang 2019 style transformer unpaired text style transfer without disentangled latent representation https arxiv org pdf 1905 05621 pdf in proceedings of acl 2019 code https github com fastnlp fastnlp chen wu xuancheng ren fuli luo xu sun 2019 a hierarchical reinforced sequence operation method for unsupervised text style transfer https arxiv org pdf 1906 01833 pdf in proceedings of acl 2019 code https github com chenwu98 point then operate sudhakar akhilesh and upadhyay bhargav and maheswaran arjun 2019 transforming delete retrieve generate approach for controlled text style transfer https arxiv org pdf 1908 09368v1 in proceedings of emnlp 2019 code https github com agaralabs transformer drg styletransfer | text-generation reading-list paper code | ai |
Unity-2017-Mobile-Game-Development | unity 2017 mobile game development this is the code repository for unity 2017 mobile game development https www packtpub com game development unity 2017 mobile game development utm source github utm medium repository utm campaign 9781787288713 published by packt https www packtpub com utm source github it contains all the supporting project files necessary to work through the book from start to finish about the book unity has established itself as an overpowering force for developing mobile games if you love mobile games and want to learn how to make them but have no idea where to begin then this book is just what you need this book takes a clear step by step approach to building an endless runner game using unity with plenty of examples on how to create a game that is uniquely your own starting from scratch you will build set up and deploy a simple game to a mobile device you will learn to add touch gestures and design ui elements that can be used in both landscape and portrait mode at different resolutions you will explore the best ways to monetize your game projects using unity ads and in app purchases before you share your game information on social networks next using unity s analytics tools you will be able to make your game better by gaining insights into how players like and use your game finally you ll learn how to publish your game on the ios and android app stores for the world to see and play along instructions and navigation all of the code is organized into folders each folder starts with a number followed by the application name for example chapter02 the code will look like the following summary update is called once per frame summary void update check if target is a valid object if target null set our position to an offset of our target transform position target position offset change the rotation to face target transform lookat target throughout this book we will work within the unity 3d game engine which you can download from http unity3d com unity download the projects were created using unity 2017 2 0f3 but the project should work with minimal changes in future versions of the engine for the sake of simplicity we will assume that you are working on a windows powered computer when developing for android and a macintosh computer when developing for ios though unity allows you to code in c boo or unityscript for this book we will be using c related products mastering unity 2017 game development with c second edition https www packtpub com web development mastering unity 2017 game development c second edition utm source github utm medium repository utm campaign 9781788479837 unity 2017 game optimization second edition https www packtpub com game development unity 2017 game optimization second edition utm source github utm medium repository utm campaign 9781788392365 mastering unity 5 x https www packtpub com game development mastering unity 5x utm source github utm medium repository utm campaign 9781785880742 download a free pdf i if you have already purchased a print or kindle version of this book you can get a drm free pdf version at no cost br simply click on the link to claim your free pdf i p align center a href https packt link free ebook 9781787288713 https packt link free ebook 9781787288713 a p | front_end |
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Bus-Reservation-System | h1 align center bus reservation system h1 p align center img style padding 10px src https img shields io badge open 20source 20 9cf style for the badge br img style padding 10px src https img shields io github contributors souravmondaldev bus reservation system style flat square img style padding 10px src https img shields io github forks souravmondaldev bus reservation system label forks style flat square img style padding 10px src https img shields io github stars souravmondaldev bus reservation system style flat square img style padding 10px src https img shields io github languages count souravmondaldev bus reservation system style flat square img style padding 10px src https img shields io github license souravmondaldev bus reservation system style flat square this is a simple bus reservation system programmed using cpp this program allows you to add bus details then you can reserve a bus seat according to vacant seat available one can check for list for vacant seats in a bus it also allows you to see the available bus for now this is a simple implementation of c code using class and structure how to run before running make sure you are having an c ide for windows users and g compiler installed for linux users for windows user just open the file with any cpp ide and just compile and run for unix users first navigate to the directory where this busrsm cpp file stored and then run the follwoing commands in terminal c g filename cpp a out unix a exe windows normal input output format for the code c souravmondal sourav pc documents g smbusres cpp souravmondal sourav pc documents a out sm bus travel agency 1 add new bus details 2 reserve your seats 3 show the available seats in a bus 4 buses available now 5 exit enter your choice 1 enter bus no 123 enter driver s name sam arrival time 12 05am departure 12 20am from hjk to lki 1 add new bus details 2 reserve your seats 3 show the available seats in a bus 4 buses available now 5 exit enter your choice 1 enter bus no 245 enter driver s name josh arrival time 01 15pm departure 01 30pm from klo to pkl 1 add new bus details 2 reserve your seats 3 show the available seats in a bus 4 buses available now 5 exit enter your choice 4 bus no 123 driver sam arrival time 12 05am departure time 12 20am from hjk to lki bus no 245 driver josh arrival time 01 15pm departure time 01 30pm from klo to pkl 1 add new bus details 2 reserve your seats 3 show the available seats in a bus 4 buses available now 5 exit enter your choice 3 enter bus no 123 bus no 123 driver sam arrival time 12 05am departure time 12 20am from hjk to lki 1 empty 2 empty 3 empty 4 empty 5 empty 6 empty 7 empty 8 empty 9 empty 10 empty 11 empty 12 empty 13 empty 14 empty 15 empty 16 empty 17 empty 18 empty 19 empty 20 empty 21 empty 22 empty 23 empty 24 empty 25 empty 26 empty 27 empty 28 empty 29 empty 30 empty 31 empty 32 empty there are 32 seats empty in bus no 123 1 add new bus details 2 reserve your seats 3 show the available seats in a bus 4 buses available now 5 exit enter your choice 2 bus no 123 seat number 36 there are only 32 seats available in this bus seat number 32 enter passanger s name mike 1 add new bus details 2 reserve your seats 3 show the available seats in a bus 4 buses available now 5 exit enter your choice 3 enter bus no 123 bus no 123 driver sam arrival time 12 05am departure time 12 20am from hjk to lki 1 empty 2 empty 3 empty 4 empty 5 empty 6 empty 7 empty 8 empty 9 empty 10 empty 11 empty 12 empty 13 empty 14 empty 15 empty 16 empty 17 empty 18 empty 19 empty 20 empty 21 empty 22 empty 23 empty 24 empty 25 empty 26 empty 27 empty 28 empty 29 empty 30 empty 31 empty 32 mike there are 31 seats empty in bus no 123 the seat no 32 is reserved for mike 1 add new bus details 2 reserve your seats 3 show the available seats in a bus 4 buses available now 5 exit enter your choice 5 successfully logged out from the application visit again thanks you created by sourav mondal usage cpp void addnewbus used to add a new bus details void allotment used to allot a set to an passenger void empty to check if the buses are empty void show shows avialble bus seats void avail shows all avialable buses void position int i to get the all reserved bus seats cons file handling not added a file system can make this block of code more reusable and complete any pr for file handling solution is appriciated contributing pull requests are welcome for major changes please open an issue first to discuss what you would like to change please make sure to update tests as appropriate feel free to contact here souravmondal0341 gmail com credits souravmondal https github com souravmondaldev | bus-reservation cpp class-cpp function object-oriented-programming filehandling | os |
studio-frontend | studio frontend codecov https codecov io gh edx studio frontend branch master graph badge svg https codecov io gh edx studio frontend build status https travis ci com edx studio frontend svg branch master https travis ci com edx studio frontend npm https img shields io npm v edx studio frontend svg https www npmjs com package edx studio frontend npm https img shields io npm dt edx studio frontend svg https www npmjs com package edx studio frontend semantic release https img shields io badge 20 20 f0 9f 93 a6 f0 9f 9a 80 semantic release e10079 svg https github com semantic release semantic release react front end for edx studio for an introduction to what this repo is and how it fits into the rest of the edx platform read studio frontend developing frontend separate from edx platform https engineering edx org studio frontend developing frontend separate from edx platform 7c91d76c7360 development requirements docker 17 06 ce https docs docker com engine installation which should come with docker compose https docs docker com compose install built in a working running edx devstack https github com openedx devstack to install and run locally git clone git github com edx studio frontend git cd studio frontend make up you can append detached to the make up command to run docker in the background to install a new node package in the repo assumes container is running make shell npm install package save dev exit git add package json to make changes to the docker image locally modify the dockerfile as needed and run docker build t edxops studio frontend latest webpack will serve pages in development mode at http localhost 18011 the following pages are served in the development page url assets http localhost 18011 assets html accessibility policy http localhost 18011 accessibilitypolicy html edit image modal http localhost 18011 editimagemodal html notes the development server will run regardless of whether devstack is running along side it if devstack is not running requests to the studio api will fail you can start up the devstack at any time by following the instructions in the devstack repository and the development server will then be able to communicate with the studio container api requests will return the following statuses given your current setup studio running logged in api return no n a 504 yes no 404 yes yes non staff account 403 yes yes staff account 200 development inside devstack studio to load studio frontend components from the webpack dev server inside your studio instance running in devstack https github com openedx devstack 1 in your devstack edx platform folder create cms envs private py if it does not exist already 2 add studio frontend container url http localhost 18011 to cms envs private py 3 reload your studio server make studio restart pages in studio that have studio frontend components should now request assets from your studio frontend docker container s webpack dev server if you make a change to a file that webpack is watching the studio page should hot reload or auto reload to reflect the changes testing the production build inside devstack studio the webpack development build of studio frontend is optimized for speeding up developement but sometimes it is necessary to make sure that the production build works just like the development build this is especially important when making changes to the webpack configs sandboxes use the production webpack build see section below but they also take a long time to provision you can more quickly test the production build in your local docker devstack by following these steps 1 if you have a cms envs private py file in your devstack edx platform folder then make sure the line studio frontend container url http localhost 18011 is commented out 2 reload your studio server make studio restart 3 run the production build of studio frontend by running make shell and then npm run build inside the docker container 4 copy the production files over to your devstack studio s static assets folder by running this make command on your host machine in the studio frontend folder make copy dist 5 run studio s static asset pipeline make studio static your devstack studio should now be using the production studio frontend files built by your local checkout testing in studio frontend where do test files go if you are developing a component and you are adding new js or jsx test files the test files would go in the same location as the file this makes it easier to track and test for example if you are developing a component assetssearch in src components you would name the test file after the component name assetssearch test jsx similarly if you are adding a file parsedatetime jsx in the src utils place the test file at same location with the name parsedatetime test jsx how to run tests locally to run the whole suite of tests you can run npm run test inside the docker container shell make shell npm run test if you want to run a particular test file only you can run npm run test t path you can also add only to any it or describe block in a particular test file to only run that particular test for example it only to run only that test or describe only to run only the tests in that describe block how to debug locally running tests to debug tests running locally first open the node debugger 1 navigate to chrome inspect in your browser 2 choose open dedicated devtools for node it will open in a new window 3 check that the default network configuration in the connection tab is 127 0 0 1 9229 i e port 9229 on localhost next after adding a debugger statement above the test code you d like to debug use these commands inside the studio frontend repo make shell node inspect 0 0 0 0 node modules bin jest runinband the node debugger should grab focus as soon as your first breakpoint is hit you can specify individual test files by appending path to yourtestfile test jsx to the end of the node command testing a branch on a sandbox it is a good practice to test out any major changes to studio frontend in a sandbox since it is much closer to a production environment than devstack once you have a branch of studio frontend up for review 1 create a new branch in edx platform off master 2 edit the package json in that branch so that it will install studio frontend from your branch in review json edx studio frontend edx studio frontend your branch name 3 commit the change and push your edx platform branch 4 follow this document on provisioning a sandbox https openedx atlassian net wiki spaces edxops pages 13960183 sandboxes using your edx platform branch the sandbox should automatically pull the studio frontend branch run the production webpack build and then install the dist files into its static assets during provisioning releases this all happens automagically on merges to master hooray there are just a few things to keep in mind what is the latest version check github https github com openedx studio frontend releases npm https www npmjs com package edx studio frontend or the npm badge at the top of this readme https github com openedx studio frontend studio frontend package json no longer contains the correct version on github as it creates an odd loop of something merged to master run semantic release semantic release modified package json better check that in and make a pr a pr merged to master run semantic release etc this is the default behavior for semantic release https github com semantic release semantic release blob caribou docs support faq md why is the packagejsons version not updated in my repository commit message linting in order for semantic release to determine which release type major minor patch to make commits must be formatted as specified by these angular conventions https github com angular angular js blob 62e2ec18e65f15db4f52bb9f695a92799c58b5f1 developers md git commit guidelines travisbuddy will let you know if anything is wrong before you merge your pr it can be difficult at first but eventually you get used to it and the added value of automatic releases is well worth it in our opinions a note on merge messages note that when you merge a pr to master using a merge commit we ve disabled squash n merge there are actually 2 commits that land on the master branch the first is the one contained in your pr which has been linted already the other is the merge commit which commitlint is smart enough to ignore due to these regexes https github com marionebl commitlint blob ddb470c4d45ccf6e2d5a82ce911b96594ccffb59 40commitlint is ignored src index js the point here is that you should not change the default merge pull request number from branch message on your merge commit or else the master build will fail and we won t get a deploy updating latest docker image in docker hub if you are making changes to the dockerfile or docker compose yml you may want to include them in the default docker container 1 run make from scratch 2 run docker tag edxops studio frontend latest edxops studio frontend latest 3 run docker push edxops studio frontend latest 4 check that last updated was updated here https hub docker com r edxops studio frontend tags adding a new app there s a bunch of boilerplate that needs to be created to set up a new studio frontend app that can be independently embedded into a page in studio see the openedx workshop https github com openedx studio frontend compare openedx workshop branch which demonstrates setting up a very basic helloworld app create a new webpack entry https github com openedx studio frontend compare openedx workshop diff 56ee2db4e3db0c7354bb996b003e70ber12 add a new htmlwebpackplugin https github com openedx studio frontend compare openedx workshop diff d5d0cff71a84339db815178b7a3c23fcr95 to create a new page in the development server to display the component create a new app root index file https github com openedx studio frontend compare openedx workshop diff 78a72e926d58cefa762dc661a8745f68r1 which will initialize the app for any new components that the app will use create a new folder under src components with an upper camel case name for each component create an index jsx https github com openedx studio frontend compare openedx workshop diff 7fea6fccbbbbf8e8648b63713da96714r1 to render the component a test file https github com openedx studio frontend compare openedx workshop diff 4cd7210c4c2b6f2c3b6b2a0c1b67b2e5r1 named with a test jsx extension that uses jest and enzyme to unit test the component if the component contains any display strings a displaymessages jsx https github com openedx studio frontend compare openedx workshop diff e214e9bb31c5529b699ebb2e86be2cbfr1 file if the component needs any styling a scss https github com openedx studio frontend compare openedx workshop diff 5ce63f6d51132465b6b5d8980cc3dfc8r1 file to embed the app inside studio update the version of studio frontend https github com openedx edx platform blob master package json in edx platform include the component s built css and js in a template using the studiofrontend mako template tag https github com openedx edx platform compare openedx workshop sfe css css in studio frontend is a bit tricky because components are embedded in existing studio pages we have to isolate the css https engineering edx org studio frontend developing frontend separate from edx platform 7c91d76c7360 fdf0 this prevents studio css affecting studio frontend components and from studio frontend css affecting the surrounding studio page however there are a few key points to know about this 1 all studio frontend styles are scoped to the sfe wrapper div in a way this div acts like the body element for the embedded studio frontend component if any elements from studio frontend are placed outside of this div then they will be unstyled or only have studio styles applied to them 2 studio frontend elements are fully reset using a browser default stylesheet https github com thallada default stylesheet so weird things will occasionally happen with the styling because it is not a perfect process use a browser dev tools style inspector to see what styles are being applied remove styles from default css if you think they might be conflicting with other styling e g for some reason ordered lists appear as unordered we still have not figured that one out 3 selectors that you write in studio frontend scss files will be prepended with a selector to the wrapper div during the webpack build process root sfe sfe wrapper this is so that studio frontend styles affect only the contents of the embedded studio frontend component and so that they are specific https developer mozilla org en us docs web css specificity enough that they override any studio styling 4 the edx bootstrap scss file contains only the bootstrap variables and mixin definitions this file is safe to import into individual component scss files it allows you to for example color an element using the primary color defined in the current bootstrap theme with the primary variable 5 only import sfe scss in javascript at the root of a studio frontend app this file contains all of the bootstrap style definitions and the css reset there is a lot of css in the file so we only want to import it once per app 6 we currently have css modules enabled in the webpack css loader https github com webpack contrib css loader but aren t really using the features of it css modules allows you to rename classname selectors defined in the css to be more specific but we currently have it configured to leave the names alone we found it simpler to just reference bootstrap classes with a plain string e g col 1 vs styles col 1 css modules helps avoid class name collision between different components on the same page we haven t run into this issue with studio frontend yet but we might want to consider using it in the future once we do 7 make sure the font awesome css is imported in javascript in the app root index file ideally studio frontend should not need these css hacks in the future studio frontend should control the full html page instead of being embedded in a studio page shell that way studio frontend components would be free from legacy studio styles and would not need to apply any resets getting help if you need assistance with this repository please see our documentation for getting help https github com openedx edx platform getting help for more information issue tracker we use jira for our issue tracker not github issues please see our documentation for tracking issues https github com openedx edx platform issue tracker for more information on how to track issues that we will be able to respond to and track accurately thanks how to contribute contributions are very welcome but for legal reasons you must submit a signed individual contributor s agreement before we can accept your contribution see our contributing https github com openedx github blob master contributing md file for more information it also contains guidelines for how to maintain high code quality which will make your contribution more likely to be accepted reporting security issues please do not report security issues in public please email security edx org | front_end |
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fabricator | fabricator logo resources logo fabricator drawio dark png gh dark mode only fabricator logo resources logo fabricator drawio white png gh light mode only p align center a flexible open source framework to generate datasets with large language models p p align center img alt version src https img shields io badge version 0 1 green img alt python src https img shields io badge python 3 10 blue img alt static badge src https img shields io badge license apache2 0 green p div align center hr installation installation basic concepts basic concepts examples examples tutorials tutorials tutorial 1 overview md paper https arxiv org abs 2309 09582 citation citation hr div overview this repository is b an easy to use open source library b to generate datasets with large language models if you want to train a model on a specific domain label distribution downstream task you can use this framework to generate a dataset for it b builds on top of deepset s haystack and huggingface s datasets b libraries thus we support a wide range of language models and you can load and use the generated datasets as you know it from the datasets library for your model training is b highly flexible b and offers various adaptions possibilities such as prompt customization integration and sampling of fewshot examples or annotation of the unlabeled datasets installation using conda git clone git github com flairnlp fabricator git cd fabricator conda create y n fabricator python 3 10 conda activate fabricator pip install e basic concepts this framework is based on the idea of using large language models to generate datasets for specific tasks to do so we need four basic modules a dataset a prompt a language model and a generator b dataset b we use huggingface s datasets library https github com huggingface datasets to load fewshot or unlabeled datasets and store the generated or annotated datasets with their dataset class once created you can share the dataset with others via the hub or use it for your model training b prompt b a prompt is the instruction made to the language model it can be a simple sentence or a more complex template with placeholders we provide an easy interface for custom dataset generation prompts in which you can specify label options for the llm to choose from provide fewshot examples to support the prompt with or annotate an unlabeled dataset in a specific way b llm b we use deepset s haystack library https github com deepset ai haystack as our llm interface deepset supports a wide range of llms including openai all models from the huggingface model hub and many more b generator b the generator is the core of this framework it takes a dataset a prompt and a llm and generates a dataset based on your specifications examples with our library you can generate datasets for any task you want you can start as simple as that generate a dataset from scratch python import os from haystack nodes import promptnode from fabricator import datasetgenerator from fabricator prompts import baseprompt prompt baseprompt task description generate a short movie review prompt node promptnode model name or path gpt 3 5 turbo api key os environ get openai api key max length 100 generator datasetgenerator prompt node generated dataset generator generate prompt template prompt max prompt calls 10 generated dataset push to hub your first generated dataset in our tutorial we introduce how to create classification datasets with label options to choose from how to include fewshot examples or how to annotate unlabeled data into predefined categories citation if you find this repository useful please cite our work misc golde2023fabricator title fabricator an open source toolkit for generating labeled training data with teacher llms author jonas golde and patrick haller and felix hamborg and julian risch and alan akbik year 2023 eprint 2309 09582 archiveprefix arxiv primaryclass cs cl | ai |
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