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caple-design-system | p align center a href https design caple ai target blank img width 240 src https user images githubusercontent com 3623695 85503605 04df2700 b625 11ea 972f 7bda9226a289 png a p h1 align center caple design system h1 p align center strong caple design system is an open source design system built by a href https cobalt run cobalt inc a strong p p align center a href https cobalt run img src https badgen net badge icon made 20by 20cobalt icon https caple static s3 ap northeast 2 amazonaws com cobalt badge svg label color 5b69c3 labelcolor 414c9a a a href https github com cobaltinc caple design system blob master license img src https img shields io badge license mit blue svg alt caple design system is released under the mit license a a href https github com cobaltinc caple design system blob master github contributing md img src https img shields io badge prs welcome brightgreen svg alt prs welcome a p rocket getting started if you re looking for react components take a look at caplt ui react package react if you want to only iconography assets checkout capl ui icons react packages icons react there are no packages for vue js and angular yet we plan to release them later package name description caple ui colors packages colors caple design system colors caple ui icons react packages icons react iconography assets for react caple ui react packages react caple design system ui for react components books documatation see our documentation site here https design caple ai for full how to docs and guidelines raised hands contributing all contributions are welcome please check out our contribution guidelines github contributing md for detailed information on how you can lend a hand page facing up license caple design system is made available under the mit license license | caple cobalt react react-components design-systems | os |
ETFDoc | etfdoc faculty project for course databases 2nd cyclus faculty of electrical engineering sarajevo | server |
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xl-sum | xl sum this repository contains the code data and models of the paper titled xl sum large scale multilingual abstractive summarization for 44 languages https aclanthology org 2021 findings acl 413 published in findings of the association for computational linguistics acl ijcnlp 2021 updates check out crosssum https github com csebuetnlp crosssum acl 23 the cross lingual extension of xl sum xl sum is now on explainaboard https github com neulab explainaboard the leaderboard can be found here http explainaboard nlpedia ai leaderboard task xlsum xl sum can now be downloaded via huggingface datasets https huggingface co datasets csebuetnlp xlsum the multilingual checkpoint is also available at huggingface model hub https huggingface co csebuetnlp mt5 multilingual xlsum table of contents xl sum xl sum table of contents table of contents datasets datasets models models benchmarks benchmarks multilingual rouge multilingual rouge training evaluation training evaluation license license citation citation datasets disclaimer you must agree to the license license and terms of use before using the dataset we are releasing two versions of the dataset an older version that has been reported in the paper and a newer version with another added language traditional chinese more data better formatting better extraction larger evaluation splits and deduplication we recommend using the latter and thus have organized the repository with data counts and benchmarks of the newer version the new version contains a total of 1 35 million article summary pairs making xl sum the largest text summarization dataset publicly available all dataset files are in jsonl format i e one json per line one example from the english dataset is given below in json format the fields are self explanatory id technology 17657859 url https www bbc com news technology 17657859 title yahoo files e book advert system patent applications summary yahoo has signalled it is investigating e book adverts as a way to stimulate its earnings text yahoo s patents suggest users could weigh the type of ads against the sizes of discount before purchase it says in two us patent applications that ads for digital book readers have been less than optimal to date the filings suggest that users could be offered titles at a variety of prices depending on the ads prominence they add that the products shown could be determined by the type of book being read or even the contents of a specific chapter phrase or word the paperwork was published by the us patent and trademark office late last week and relates to work carried out at the firm s headquarters in sunnyvale california greater levels of advertising which may be more valuable to an advertiser and potentially more distracting to an e book reader may warrant higher discounts it states free books it suggests users could be offered ads as hyperlinks based within the book s text in laid text or even dynamic content such as video another idea suggests boxes at the bottom of a page could trail later chapters or quotes saying brought to you by company a it adds that the more willing the customer is to see the ads the greater the potential discount higher frequencies may even be great enough to allow the e book to be obtained for free it states the authors write that the type of ad could influence the value of the discount with lower class advertising such as teeth whitener advertisements offering a cheaper price than high or middle class adverts for things like pizza the inventors also suggest that ads could be linked to the mood or emotional state the reader is in as a they progress through a title for example they say if characters fall in love or show affection during a chapter then ads for flowers or entertainment could be triggered the patents also suggest this could applied to children s books giving the tom hanks animated film polar express as an example it says a scene showing a waiter giving the protagonists hot drinks may be an excellent opportunity to show an advertisement for hot cocoa or a branded chocolate bar another example states if the setting includes young characters a coke advertisement could be provided inviting the reader to enjoy a glass of coke with his book and providing a graphic of a cool glass it adds that such targeting could be further enhanced by taking account of previous titles the owner has bought advertising free zone at present several amazon and kobo e book readers offer full screen adverts when the device is switched off and show smaller ads on their menu screens but the main text of the titles remains free of marketing yahoo does not currently provide ads to these devices and a move into the area could boost its shrinking revenues however philip jones deputy editor of the bookseller magazine said that the internet firm might struggle to get some of its ideas adopted this has been mooted before and was fairly well decried he said perhaps in a limited context it could work if the merchandise was strongly related to the title and was kept away from the text but readers particularly parents like the fact that reading is an advertising free zone authors would also want something to say about ads interrupting their narrative flow download https docs google com uc export download id 1fkxf9jaj0kptzlxusi3jdbp4xlv piid the complete dataset see the legacy legacy section for the older version s we used a 80 10 10 split for all languages with a few exceptions english was split 93 3 5 3 5 for the evaluation set size to resemble that of cnn dm and xsum scottish gaelic kyrgyz and sinhala had relatively fewer samples their evaluation sets were increased to 500 samples for more reliable evaluation same articles were used for evaluation in the two variants of chinese and serbian to prevent data leakage in multilingual training individual dataset download links with train dev test example counts are given below language iso 639 1 code bbc subdomain s train dev test total link amharic am https www bbc com amharic 5761 719 719 7199 download https docs google com uc export download id 1rvrasdwjuiltyfez nl73umv2aubhzd6 arabic ar https www bbc com arabic 37519 4689 4689 46897 download https docs google com uc export download id 1lot6kj6tpchubi6ky rqpdypwaqck jl azerbaijani az https www bbc com azeri 6478 809 809 8096 download https docs google com uc export download id 1dxmwzrwpwa3 ba3ma8s173tcyl 7viq9 bengali bn https www bbc com bengali 8102 1012 1012 10126 download https docs google com uc export download id 1h3gy8pk1xv3dwo3ewc9zjq4bu7tcs 1r burmese my https www bbc com burmese 4569 570 570 5709 download https docs google com uc export download id 1pqmc8mauvi9ksenxmlcffuh0i3vjek9l chinese simplified zh cn https www bbc com ukchina simp https www bbc com zhongwen simp 37362 4670 4670 46702 download https docs google com uc export download id 18lxt8 qtuowgfarh8ucailt uehpyhsv chinese traditional zh tw https www bbc com ukchina trad https www bbc com zhongwen trad 37373 4670 4670 46713 download https docs google com uc export download id 1j6ln7dwmuwwoin2scfiola5b l8zaijj english en https www bbc com english https www bbc com sinhala 306522 11535 11535 329592 download https docs google com uc export download id 1kltw4wthzddmigznqbldrtckamisortq french fr https www bbc com afrique 8697 1086 1086 10869 download https docs google com uc export download id 1ytc1tzcrwhracpcu1voefchl7 ieytwf gujarati gu https www bbc com gujarati 9119 1139 1139 11397 download https docs google com uc export download id 1ijdtir im2saa f2tw5unnu2g dwp1wg hausa ha https www bbc com hausa 6418 802 802 8022 download https docs google com uc export download id 1lmkb gypwzd32 wag enaweehm0opgz hindi hi https www bbc com hindi 70778 8847 8847 88472 download https docs google com uc export download id 1h3pxmwefyznxgxpm0kmpokt4ucdhbiky igbo ig https www bbc com igbo 4183 522 522 5227 download https docs google com uc export download id 1b5td0fabadd3xaeiwo zwbuov5kw85h indonesian id https www bbc com indonesia 38242 4780 4780 47802 download https docs google com uc export download id 1fv5o zv3mgqgpbqyx iaexknmdwpmynr japanese ja https www bbc com japanese 7113 889 889 8891 download https docs google com uc export download id 1y5wk4wi1lrhmy qroaf8ygm0wiu9mhkg kirundi rn https www bbc com gahuza 5746 718 718 7182 download https docs google com uc export download id 1dbpjgyogafclcvgwtgf0yp48u6gbds t korean ko https www bbc com korean 4407 550 550 5507 download https docs google com uc export download id 1f f8lonurmklzhh24b dgfhwsifps7x0 kyrgyz ky https www bbc com kyrgyz 2266 500 500 3266 download https docs google com uc export download id 19ytnlf m8gcelwmcnhy1vghznbq8ur5d marathi mr https www bbc com marathi 10903 1362 1362 13627 download https docs google com uc export download id 1wjnq5pqqm4fpq7vswezx1 ofolz9duiu nepali np https www bbc com nepali 5808 725 725 7258 download https docs google com uc export download id 1o t chy p sn2anslvaf97neyv1a3tfz oromo om https www bbc com afaanoromoo 6063 757 757 7577 download https docs google com uc export download id 1zcfg5l8a77p4bvovm3o7bxqfligyqcqy pashto ps https www bbc com pashto 14353 1794 1794 17941 download https docs google com uc export download id 1 zqzlvqgeb7fg4a nu17c0obi w0dqlt persian fa https www bbc com persian 47251 5906 5906 59063 download https docs google com uc export download id 1bymti8kksb3qzkb1qejegyoe8lcdevhn pidgin n a https www bbc com pidgin 9208 1151 1151 11510 download https docs google com uc export download id 17n8upuzsbwisvkpb7eklm3varn3ino6y portuguese pt https www bbc com portuguese 57402 7175 7175 71752 download https docs google com uc export download id 1mwujtxgdjm zerxwusdmc19qytsgepbt punjabi pa https www bbc com punjabi 8215 1026 1026 10267 download https docs google com uc export download id 1w6yughezoq nhzqrd a7oipitny553tl russian ru https www bbc com russian https www bbc com ukrainian 62243 7780 7780 77803 download https docs google com uc export download id 1bgzbx zyvuchet 7lblg6hkaq dfthy scottish gaelic gd https www bbc com naidheachdan 1313 500 500 2313 download https docs google com uc export download id 1lohjy8icngbrpjia5dd2st84dyliytt serbian cyrillic sr https www bbc com serbian cyr 7275 909 909 9093 download https docs google com uc export download id 1c vad4ydntcn0pqymbbvjt7epigwfuv9 serbian latin sr https www bbc com serbian lat 7276 909 909 9094 download https docs google com uc export download id 1jldu401 3xqbmpaajnvv7s1aibd goqg sinhala si https www bbc com sinhala 3249 500 500 4249 download https docs google com uc export download id 1hbsvf7t5qh8ox6c7lo1dqktbvda0vuao somali so https www bbc com somali 5962 745 745 7452 download https docs google com uc export download id 1f9 4djgtxmfhqujqnse2x170filsaiyi spanish es https www bbc com mundo 38110 4763 4763 47636 download https docs google com uc export download id 1ddhutm0cijq4tx9isag5aft9viexbroo swahili sw https www bbc com swahili 7898 987 987 9872 download https docs google com uc export download id 1witoesfdjdirzyzr92h0v0hgfpwi2vbh tamil ta https www bbc com tamil 16222 2027 2027 20276 download https docs google com uc export download id 1ukjkpzktubvckwlicsotuzyxbalz3t7h telugu te https www bbc com telugu 10421 1302 1302 13025 download https docs google com uc export download id 1ctbqtwypu5u09u1mbvin3b71w4b17gol thai th https www bbc com thai 6616 826 826 8268 download https docs google com uc export download id 1bg2pfl2yswh90j1ll7zmfhonaxj0tejf tigrinya ti https www bbc com tigrinya 5451 681 681 6813 download https docs google com uc export download id 13ob4gkiswgpejj4itphzd irpfack0p turkish tr https www bbc com turkce 27176 3397 3397 33970 download https docs google com uc export download id 1acnfiw mnonq kpon74rw5dujbu9mbh8 ukrainian uk https www bbc com ukrainian 43201 5399 5399 53999 download https docs google com uc export download id 1t5cnjvu3rehz ldtpvjtd5eqp5fveeoq urdu ur https www bbc com urdu 67665 8458 8458 84581 download https docs google com uc export download id 1vie5jfhyhbkkw6jlbfnu5qjstchstokn uzbek uz https www bbc com uzbek 4728 590 590 5908 download https docs google com uc export download id 1fk tsviqsfbkx8bagcud1ilrsirlvwus vietnamese vi https www bbc com vietnamese 32111 4013 4013 40137 download https docs google com uc export download id 1ufc9hptc gynti9tcxrvudhixgofs al welsh cy https www bbc com cymrufyw 9732 1216 1216 12164 download https docs google com uc export download id 1mmf9i kxo83ktj98avsrc30bnmtthvv6 yoruba yo https www bbc com yoruba 6350 793 793 7936 download https docs google com uc export download id 1ohxpjk7pq0jskbf906wzyyk4pgdeulll a lot of articles in bbc sinhala and bbc ukrainian were written in english and russian respectively they were identified using fasttext https arxiv org abs 1607 01759 and moved accordingly west african pidgin english models we are releasing a multilingual model checkpoint https docs google com uc export download id 137wuqtnkntwidpdlk3fnnqf3hcizon0d trained for 50k steps on the new data to use this model for evaluation inference refer to training evaluation training evaluation benchmarks multilingual model scores on test sets are given below we are also releasing the model generated outputs https docs google com uc export download id 16oatryw qcayevq9gtbr7akhcjkbdear for future analysis language rouge 1 rouge 2 rouge l amharic 20 0485 7 4111 18 0753 arabic 34 9107 14 7937 29 1623 azerbaijani 21 4227 9 5214 19 3331 bengali 29 5653 12 1095 25 1315 burmese 15 9626 5 1477 14 1819 chinese simplified 39 4071 17 7913 33 406 chinese traditional 37 1866 17 1432 31 6184 english 37 601 15 1536 29 8817 french 35 3398 16 1739 28 2041 gujarati 21 9619 7 7417 19 86 hausa 39 4375 17 6786 31 6667 hindi 38 5882 16 8802 32 0132 igbo 31 6148 10 1605 24 5309 indonesian 37 0049 17 0181 30 7561 japanese 48 1544 23 8482 37 3636 kirundi 31 9907 14 3685 25 8305 korean 23 6745 11 4478 22 3619 kyrgyz 18 3751 7 9608 16 5033 marathi 22 0141 9 5439 19 9208 nepali 26 6547 10 2479 24 2847 oromo 18 7025 6 1694 16 1862 pashto 38 4743 15 5475 31 9065 persian 36 9425 16 1934 30 0701 pidgin 37 9574 15 1234 29 872 portuguese 37 1676 15 9022 28 5586 punjabi 30 6973 12 2058 25 515 russian 32 2164 13 6386 26 1689 scottish gaelic 29 0231 10 9893 22 8814 serbian cyrillic 23 7841 7 9816 20 1379 serbian latin 21 6443 6 6573 18 2336 sinhala 27 2901 13 3815 23 4699 somali 31 5563 11 5818 24 2232 spanish 31 5071 11 8767 24 0746 swahili 37 6673 17 8534 30 9146 tamil 24 3326 11 0553 22 0741 telugu 19 8571 7 0337 17 6101 thai 37 3951 17 275 28 8796 tigrinya 25 321 8 0157 21 1729 turkish 32 9304 15 5709 29 2622 ukrainian 23 9908 10 1431 20 9199 urdu 39 5579 18 3733 32 8442 uzbek 16 8281 6 3406 15 4055 vietnamese 32 8826 16 2247 26 0844 welsh 32 6599 11 596 26 1164 yoruba 31 6595 11 6599 25 0898 multilingual rouge see rouge module multilingual rouge scoring training evaluation see training and evaluation module seq2seq license contents of this repository are restricted to only non commercial research purposes under the creative commons attribution noncommercial sharealike 4 0 international license cc by nc sa 4 0 https creativecommons org licenses by nc sa 4 0 copyright of the dataset contents belongs to the original copyright holders citation if you use any of the datasets models or code modules please cite the following paper inproceedings hasan etal 2021 xl title xl sum large scale multilingual abstractive summarization for 44 languages author hasan tahmid and bhattacharjee abhik and islam md saiful and mubasshir kazi and li yuan fang and kang yong bin and rahman m sohel and shahriyar rifat booktitle findings of the association for computational linguistics acl ijcnlp 2021 month aug year 2021 address online publisher association for computational linguistics url https aclanthology org 2021 findings acl 413 pages 4693 4703 | abstractive-text-summarization text-summarization text-summarisation abstractive-summarization multilingual multilinguality multilingual-text-summarization low-resource-languages dataset summarization-dataset summarization-corpora text-summarization-dataset text-summarization-model low-resource-summarization low-resource-text-summarizarion multilingual-summarization machine-learning deep-learning | ai |
ExpressMovieRestAPI | movie rest api implementation with express js this repo includes the development of a backend app using express js build status https api travis ci org sebetci expressmovierestapi svg https travis ci org sebetci expressmovierestapi routers 1 movies route http verb post body description api movies get empty list all movies api movies post title foo category bar country turkey year 1990 director id imdb score 9 7 create a new movie api movies movie id get empty get a movie api movies movie id put name foo surname bar update a movie with new info api movies movie id delete empty delete a movie api movies top10 get empty get the top 10 movies api movies between start year end year get empty movies between two dates 2 directors route http verb post body description api directors get empty list all directors api directors post name foo surname bar bio lorem ipsum create a new director api directors director id get empty get a director api directors director id put name foo surname bar bio lorem update a director with new info api directors director id delete empty delete a director api directors director id best10movie get empty the director s top 10 films index route http verb post body description register post username foo password 1234 create a new user authenticate post username foo password 1234 generate a token users route http verb post body description register post username foo password 1234 create a new user demo live demo on heroku https express movie rest api herokuapp com | api express movie nodejs rest-api | server |
Programming-with-python-by-Meta--assignments | meta python works this are all python assignments from meta database engineering specialization course by coursera | server |
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macs-rtos | https www astrosoft ru products development rtos macs https github com astrosoft mir macs rtos releases tag v1 6 0 https github com astrosoft mir macs rtos archive v1 6 0 zip macs master https github com astrosoft mir macs rtos releases download v1 6 0 macs master 1 6 0 zip credits md boomstarter authors md bsd license license license ru contributing md | os |
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vtb-more-tech | more tech 2020 vtb more tech presentation pdf https github com timoninas vtb more tech blob master presentation presentation pdf p align center img src https github com timoninas vtb more tech blob master presentation slide1 png p p align center img src https github com timoninas vtb more tech blob master presentation slide2 png p p align center img src https github com timoninas vtb more tech blob master presentation slide3 png p p align center img src https github com timoninas vtb more tech blob master presentation slide4 png p p align center img src https github com timoninas vtb more tech blob master presentation slide5 png p p align center img src https github com timoninas vtb more tech blob master presentation slide6 png p p align center img src https github com timoninas vtb more tech blob master presentation slide7 png p p align center img src https github com timoninas vtb more tech blob master presentation slide8 png p p align center img src https github com timoninas vtb more tech blob master presentation slide9 png p p align center img src https github com timoninas vtb more tech blob master presentation slide10 png p p align center img src https github com timoninas vtb more tech blob master presentation slide11 png p p align center img src https github com timoninas vtb more tech blob master presentation slide12 png p | swift hackathon mobile | front_end |
Practical-Computer-Vision | practical computer vision this is the code repository for practical computer vision https www packtpub com big data and business intelligence practical computer vision utm source github utm medium repository utm campaign 9781788297684 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 in this book you will find several recently proposed methods in various domains of computer vision you will start by setting up the proper python environment to work on practical applications this includes setting up libraries such as opencv tensorflow and keras using anaconda using these libraries you ll start to understand the concepts of image transformation and filtering you will find a detailed explanation of feature detectors such as fast and orb you ll use them to find similar looking objects with an introduction to convolutional neural nets you will learn how to build a deep neural net using keras and how to use it to classify the fashion mnist dataset with regard to object detection you will learn the implementation of a simple face detector as well as the workings of complex deep learning based object detectors such as faster r cnn and ssd using tensorflow you ll get started with semantic segmentation using fcn models and track objects with deep sort not only this you will also use visual slam techniques such as orb slam on a standard dataset by the end of this book you will have a firm understanding of the different computer vision techniques and how to apply them in your applications 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 import numpy as np import matplotlib pyplot as plt import cv2 the list of software needed for this book is as follows anaconda distribution v5 0 1 opencv v3 3 0 tensorflow v1 4 0 keras v2 1 2 to run all of the code effectively ubuntu 16 04 is preferable with nvidia gpu and at least 4 gb of ram the code will also run without gpu support related products mastering opencv with practical computer vision projects https www packtpub com application development mastering opencv practical computer vision projects utm source github utm medium repository utm campaign 9781849517829 opencv 3 computer vision with python cookbook https www packtpub com application development opencv 3 computer vision python cookbook utm source github utm medium repository utm campaign 9781788474443 practical industrial internet of things security https www packtpub com business practical industrial internet things security utm source github utm medium repository utm campaign 9781788832687 suggestions and feedback click here https docs google com forms d e 1faipqlse5qwunkgf6puvzpirpdtuy1du5rlzew23ubp2s p3wb gcwq 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 9781788297684 https packt link free ebook 9781788297684 a p | ai |
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llmchain-rs | h1 align center llmchain modern data transformations with llm h1 p align center large language models inspired by langchain p div align center a href https crates io crates llmchain img src https img shields io crates v llmchain svg a div features models llms chat models embedding models llms openai azureopenai databendcloud https app databend com prompts llms chat prompt templates indexes documents loaders text splitters vector store retrievers documents loaders markdownloader directoryloader textloader githubpullrequestloader documents splitters markdownsplitter textsplitter vector store databendcloud https app databend com chains seamlessly combines multiple actions to create unified coherent ai services examples please see examples https github com shafishlabs llmchain rs tree main examples who is using llmchain askbend https github com datafuselabs askbend leveraging databend cloud for advanced ai services | ai |
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KITTI_visual_odometry | kitti odometry in python and opencv beginner s guide to computer vision this repository contains a jupyter notebook tutorial for guiding intermediate python programmers who are new to the fields of computer vision and autonomous vehicles through the process of performing visual odometry with the kitti odometry dataset http www cvlibs net datasets kitti eval odometry php there is also a video series on youtube https www youtube com watch v sxw0cplattq list plrhdcreroai9hfgzdbiencg5dx7s3nz6x that walks through the material in this tutorial the tutorial will start with a review of the fundamentals of computer vision necessary for this task and then proceed to lay out and implement functions to perform visual odometry using stereo depth estimation utilizing the opencv python package motion will be estimated by reconstructing 3d position of matched feature keypoints in one frame using the estimated stereo depth map and estimating the pose of the camera in the next frame using the solvepnpransac function it will then use this framework to compare performance of different combinations of stereo matchers feature matchers distance thresholds for filtering feature matches and use of lidar correction of stereo depth estimation the final estimated trajectory given by the approach in this notebook drifts over time but is accurate enough to show the fundamentals of visual odometry this will be an ongoing project to improve these results in the future and more tutorials will be added as developments occur please reach out with any comments or suggestions how to use this repository clone this repository into a folder which also contains your download of the kitti odometry dataset in a separate folder called dataset the tutorial is contained in the kitti visual odometry ipynb jupyter notebook sample images stereo disparity map of first sequence image disparity map images disparity map png estimated depth map from stereo disparity estimated depth map images depth map png final estimated trajectory vs ground truth estimated trajectory images estimated trajectory png contents kitti visual odometry ipynb main tutorial notebook with complete documentation functions codealong ipynb notebook from the video tutorial series | ai |
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design-jekyll-theme | design jekyll theme a jekyll theme based on the ui kit https github com italia design ui kit and built with bootstrap italia https github com italia bootstrap italia getting started the theme itself is a starting point for a jekyll based website you can refer to the official jekyll docs https jekyllrb com docs for further details on how to install it locally if you already have bundler installed you can install jekyll and budler gems with bundle install however if you want to install the dependencies locally you can run bundle install path vendor bundle you can build the site and make it available on a local server with bundle exec jekyll serve config config yml config dev yml picking one of the two config files where config yml is the production file config dev yml is the development file notes you can run the server just with bundle exec jekyll serve the webiste will be available on http localhost 4000 design jeyll theme this is the default settings to allow usage with github pages the aforementioned addition of config dev yml is needed to run the server on http localhost 4000 without any subpath license this repository is licensed with a bsd 3 clause license please check the license license file to know more details about this | jekyll-theme jekyll design | os |
ZeroOctave-Javascript-Projects | div id top div h1 align center zerooctave javascript projects h1 p align center a href https github com zerooctave zerooctave javascript projects img alt zerooctave javascript projects src https github com zerooctave zerooctave javascript projects blob main assets images zer png a p div align center hactoberfest https img shields io badge hactoberfest e2 9d a4 red maintenance https img shields io badge maintained 3f yes orange svg open source love https img shields io badge open 20source e2 9d a4 red contributions welcome https img shields io badge contributions welcome brightgreen svg style flat beginners friendly https img shields io badge beginner 20friendly 20 yes orange github contributors https img shields io github contributors zerooctave zerooctave javascript projects color blue github forks https img shields io github forks zerooctave zerooctave javascript projects https github com zerooctave zerooctave javascript projects network github stars 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javascript projects utm source badge review utm medium badge utm souce badge zerooctave 0045 javascript 0045 projects discussion body target blank img src https api producthunt com widgets embed image v1 review svg post id 346465 theme light alt zerooctave 0045 javascript 0045 projects learn 0032 web 0032 development 0032 by 0032 making 0032 projects product hunt style width 250px height 54px width 250 height 54 a p align right a href bottom img src https img shields io badge bottom red style for the badge a p div id about div about getting started with web development what else would be better than practising it so welcome developer you are at the right place zerooctave javascript projects provide some awesome web development projects to work upon and enhance your skills the motive of this project is to help new learners like you to get familiar with web development skills happy coding so what are you waiting for br div id open source program div this project is a part of the following open source program br table tbody tr td align center a href https hacktoberfest digitalocean com target blank img src https encrypted tbn0 gstatic com images q tbn and9gcszxuuufuwutwoutwdseiuzwklbsda6z 0bzyx x0jpqa s alt hacktoberfest width 200 br sub b hacktoberfest 2022 b sub a td a td td align center a href https icc techsahead netlify app target blank img src assets images icc png alt icc width 200 br sub b icc 2021 b sub a td a td td align center a href https dwoc io target blank img src assets images dwoc png alt dwoc21 width 125 br sub b dwoc 2021 b sub a td a td td align center a href https gssoc girlscript tech target blank img src assets images gssoc jpg alt gssoc22 width 125 br sub b gssoc 2022 b sub a td a td td align center a href https ssoc getsocialnow co target blank img src assets images ssoc png alt ssoc2022 width 125 br sub b ssoc 2022 b sub a td a td tr tbody table br div id before div before you begin we would request you to go through the contributing guidelines throughly so that you know what you are doing little knowledge of github would be benificial for you so that you know what you are doing how not to contribute to open source on github https astrodevil hashnode dev how not to contribute to open source on github tips for beginners don t put files here there always follow proper directory follow proper naming pattern while pushing new files eg if a project name is gym website then their file name should be gym website html gym website css gym website js similar for all files don t mix the files or make new folders if not necessary div id tech stack div tech stack img alt html5 src https img shields io badge html5 20 23e34f26 svg style for the badge logo html5 logocolor white img alt css3 src https img shields io badge css3 20 231572b6 svg style for the badge logo css3 logocolor white img alt javascript src https img shields io badge javascript 20 23323330 svg style for the badge logo javascript logocolor 23f7df1e div id contributing div contributing guidelines are we missing any of your favorite features which you think you can add to it for major changes please open an issue first to discuss what you would like to change you are welcome to contribute in this project pull requests are welcome to start contributing follow the below guidelines 1 fork this https github com zerooctave zerooctave javascript projects repository 2 clone your forked copy of the project git clone https github com your user name zerooctave javascript projects git 3 navigate to the project directory file folder cd zerooctave javascript projects 4 add a reference remote to the original repository git remote add upstream https github com zerooctave zerooctave javascript projects git 5 check the remotes for this repository git remote v 6 always take a pull from the upstream repository to your master branch to keep it at par with the main project updated repository git pull upstream main 7 create a new branch git checkout b your branch name 8 perfom your desired changes to the code base 9 track your changes heavy check mark git add 10 commit your changes git commit m relevant message 11 push the committed changes in your feature branch to your remote repo git push u origin your branch name 12 to create a pull request click on compare and pull requests 13 add appropriate title and description to your pull request explaining your changes and efforts done 14 click on create pull request 15 woohoo you have made a pr to the zerooctave javascript projects boom wait for your submission to be accepted and your pr to be merged thank you for your interest in contributing to our repo kudos to you information source before contributing read some important guidelines here contributing md important guidelines div id help div this will help why clone everything to the machine just press dot after opening the forked repo in a browser tab see the magic want to preview your live changes copy and paste the project html url into githack https raw githack com you will get 2 urls for production and development copy and paste them into a new tab see the magic div id projects div available projects s no projects s no projects s no projects 01 analog clock https zerooctave github io zerooctave javascript projects public analog clock html 02 shell game https zerooctave github io zerooctave javascript projects public shell game html 03 auto write text https zerooctave github io zerooctave javascript projects public auto write text html 04 word definition https zerooctave github io zerooctave javascript projects public word definition html 05 calculator https zerooctave github io zerooctave javascript projects public calculator html 06 color flipper 1 https zerooctave github io zerooctave javascript projects public color flipper 1 html 07 color flipper 2 https zerooctave github io zerooctave javascript projects public color flipper 2 html 08 digital clock https zerooctave github io zerooctave javascript projects public digital clock html 09 log in form https zerooctave github io zerooctave javascript projects public loginform html 10 purple heart animation https zerooctave github io zerooctave javascript projects public purple heart html 11 take quiz https zerooctave github io zerooctave javascript projects public quiz html 12 gravity simulator https zerooctave github io zerooctave javascript projects public gravity html 13 notification https zerooctave github io zerooctave javascript projects public toast notification html 14 speech to text converter https zerooctave github io zerooctave javascript projects public speech to text converter html 15 check weather https zerooctave github io zerooctave javascript projects public weather app html 16 guess color https zerooctave github io zerooctave javascript projects public guess color html 17 speed typer https zerooctave github io zerooctave javascript projects public speed typer html 18 caesar cipher https zerooctave github io zerooctave javascript projects public caesarcipher html 19 restaurant website https zerooctave github io zerooctave javascript projects public restaurant restaurant html 20 rock paper scissor https zerooctave github io zerooctave javascript projects public rock paper scissor rock paper scissor html 21 incrementinator 2 0 https zerooctave github io zerooctave javascript projects public incrementinator html 22 quotes https zerooctave github io zerooctave javascript projects public accordion html 23 aipan art handcraft https zerooctave github io zerooctave javascript projects public aipanart html 24 auto image slider https zerooctave github io zerooctave javascript projects public auto image slider html 25 bmi calculator https zerooctave github io zerooctave javascript projects public bmi calculator html 26 count down timer https zerooctave github io zerooctave javascript projects public countdown timer html 27 counter https zerooctave github io zerooctave javascript projects public counter html 28 drum kit https zerooctave github io zerooctave javascript projects public drum kit html 29 food recepie center https zerooctave github io zerooctave javascript projects public food website html 30 height converter https zerooctave github io zerooctave javascript projects public height converter html 31 hulu https zerooctave github io zerooctave javascript projects public hulu html 32 image editor https zerooctave github io zerooctave javascript projects public image editor html 33 loan calculator https zerooctave github io zerooctave javascript projects public loan calculator html 34 maths formulae website https zerooctave github io zerooctave javascript projects public maths formulae html 35 modal window generator https zerooctave github io zerooctave javascript projects public modal html 36 an ngo website https zerooctave github io zerooctave javascript projects public ngo html 37 note app https zerooctave github io zerooctave javascript projects public noteapp html 38 popup https zerooctave github io zerooctave javascript projects public popup html 39 random color generator https zerooctave github io zerooctave javascript projects public random color generator html 40 responsive navigation bar https zerooctave github io zerooctave javascript projects public responsive nav html 41 resume builder https zerooctave github io zerooctave javascript projects public resume builder html 42 dice game https zerooctave github io zerooctave javascript projects public dice game html 43 speed typing https zerooctave github io zerooctave javascript projects public speed html 44 spotify clone https zerooctave github io zerooctave javascript projects public spotify clone html 45 stone paper scissors https zerooctave github io zerooctave javascript projects public stone paper scissors html 46 tip calculator https zerooctave github io zerooctave javascript projects public tip calculator html 47 3d solar system https zerooctave github io zerooctave javascript projects public solar html 48 prime factor calculator https zerooctave github io zerooctave javascript projects public primecalc html 49 magic note https zerooctave github io zerooctave javascript projects public todo html 50 weather calculator https zerooctave github io zerooctave javascript projects public weather app html 51 weight converter https zerooctave github io zerooctave javascript projects public weight conv html 52 word count calculator https zerooctave github io zerooctave javascript projects public word count calculator html 53 crypto app https zerooctave github io zerooctave javascript projects public crypto app html 54 scientific calculator https zerooctave github io zerooctave javascript projects public scientific calculator html 55 github profiles https zerooctave github io zerooctave javascript projects public github profiles html 56 books library https zerooctave github io zerooctave javascript projects public bookslibrary html 57 guess the number https zerooctave github io zerooctave javascript projects public guess the number html 58 simon game https zerooctave github io zerooctave javascript projects public simon game html 59 pong game https zerooctave github io zerooctave javascript projects public pong html 60 dictionary app https zerooctave github io zerooctave javascript projects public dictionary html 61 custom ice cream maker https zerooctave github io zerooctave javascript projects public icecream html 62 sneaker site https zerooctave github io zerooctave javascript projects public sneaker html 63 crud project https zerooctave github io zerooctave javascript projects public crud project html 64 currency converter https zerooctave github io zerooctave javascript projects public currency converter html 65 hangman game https zerooctave github io zerooctave javascript projects public hangman html 66 to do list https zerooctave github io zerooctave javascript projects public to do html 67 transpose matrix calculator https zerooctave github io zerooctave javascript projects public transpose matrix calculator html 68 password generator https zerooctave github io zerooctave javascript projects public password generator html 69 memory game https zerooctave github io zerooctave javascript projects public memory html 70 rd return calculator https zerooctave github io zerooctave javascript projects public rd return calculator html 71 meditation feature https zerooctave github io zerooctave javascript projects public meditation html 72 move tv series quote generator https zerooctave github io zerooctave javascript projects public moviequotegenerator html 73 function grapher https zerooctave github io zerooctave javascript projects public function grapher html 74 third degree equation solver https zerooctave github io zerooctave javascript projects public third degree equation calculator html 75 speech synthesis https zerooctave github io zerooctave javascript projects public speech synthesis html 76 color changing app https zerooctave github io zerooctave javascript projects public color changing app html 77 key detector https zerooctave github io zerooctave javascript projects public key detector html 78 tic tac toe https zerooctave github io zerooctave javascript projects public tic tac toe html 79 qr code generator https zerooctave github io zerooctave javascript projects public qr code generator html 80 microsoft clone https zerooctave github io zerooctave javascript projects public microsoftclone html 81 youtube clone https zerooctave github io zerooctave javascript projects public youtube clone index html 82 expense tracker https zerooctave github io zerooctave javascript projects public expense html 83 15 puzzle https zerooctave github io zerooctave javascript projects public 15puzzle html 84 type writer effect https zerooctave github io zerooctave javascript projects public type writer html 85 book shopping website https zerooctave github io zerooctave javascript projects public book shopping website book html 86 movie search app https zerooctave github io zerooctave javascript projects public movie search app html 87 random quote generator https zerooctave github io zerooctave javascript projects public random quote generator html 88 rgb mixer https zerooctave github io zerooctave javascript projects public rgbmixer html 89 google clone https zerooctave github io zerooctave javascript projects public google clone html 90 tinder clone https zerooctave github io zerooctave javascript projects public tinder clone html 91 gym website https zerooctave github io zerooctave javascript projects public gym website html 92 temperature converter https zerooctave github io zerooctave javascript projects public temperature converter html 93 google clone1 https zerooctave github io zerooctave javascript projects public googleclone1 googleclone1 html 94 travel website https zerooctave github io zerooctave javascript projects public travel website html 95 happy hacktober https zerooctave github io zerooctave javascript projects public happy hacktober happyhactober html 96 accordion https zerooctave github io zerooctave javascript projects public accordion html 97 animated portfolio https zerooctave github io zerooctave javascript projects public animatedportfolio html 98 anime app https zerooctave github io zerooctave javascript projects public animeapp html 99 basex calculator https zerooctave github io zerooctave javascript projects public basex calculator html 100 car race https zerooctave github io zerooctave javascript projects public car race html 101 color code converter https zerooctave github io zerooctave javascript projects public color code converter html 102 color chooser https zerooctave github io zerooctave javascript projects public colorchooser html 103 dial code fetcher https zerooctave github io zerooctave javascript projects public dialcodefetcher html 104 dino game https zerooctave github io zerooctave javascript projects public dino game html 105 drawing app https zerooctave github io zerooctave javascript projects public drawingapp html 106 email validator https zerooctave github io zerooctave javascript projects public emailvalidator html 107 find num https zerooctave github io zerooctave javascript projects public findnum html 108 food website https zerooctave github io zerooctave javascript projects public food website html 109 browser detector https zerooctave github io zerooctave javascript projects public browser detector html 110 maps https zerooctave github io zerooctave javascript projects public maps html 111 mapty https zerooctave github io zerooctave javascript projects public mapty html 112 movie quote generator https zerooctave github io zerooctave javascript projects public moviequotegenerator html 113 multiple portfolio https zerooctave github io zerooctave javascript projects public multiple portfolio html 114 form validation https zerooctave github io zerooctave javascript projects public formvalidation html 115 music player https zerooctave github io zerooctave javascript projects public musicplayer html 116 palindrome https zerooctave github io zerooctave javascript projects public palindrome html 117 placeholder https zerooctave github io zerooctave javascript projects public placeholder html 118 quiz app https zerooctave github io zerooctave javascript projects public quiz app html 119 report calculator https zerooctave github io zerooctave javascript projects public reportcalculator html 120 responsive landing https zerooctave github io zerooctave javascript projects public responsivelanding html 121 reviews https zerooctave github io zerooctave javascript projects public reviews html 122 snake https zerooctave github io zerooctave javascript projects public snake html 123 socials https zerooctave github io zerooctave javascript projects public socials html 124 star catching game https zerooctave github io zerooctave javascript projects public star catching game html 125 sticky notes https zerooctave github io zerooctave javascript projects public sticky notes html 126 stopwatch https zerooctave github io zerooctave javascript projects public stopwatch html 127 tap music https zerooctave github io zerooctave javascript projects public tap music html 128 tiktok clone https zerooctave github io zerooctave javascript projects public tiktok clone html 129 toast notification https zerooctave github io zerooctave javascript projects public toast notification html 130 to do https zerooctave github io zerooctave javascript projects public todo html 131 confirm password validator https zerooctave github io zerooctave javascript projects public confirmpasswordvalidator html 132 blurry loading https zerooctave github io zerooctave javascript projects public blurry loading html 133 news website https zerooctave github io zerooctave javascript projects public news site html 134 drink water https zerooctave github io zerooctave javascript projects public drinkwater html 135 url keeper https zerooctave github io zerooctave javascript projects public url keeper html 136 dad s joke https zerooctave github io zerooctave javascript projects public dadsjoke html 137 theme clock https zerooctave github io zerooctave javascript projects public theme clock html 138 vaccine slot finder https zerooctave github io zerooctave javascript projects public vaccineslot html 139 food filter https zerooctave github io zerooctave javascript projects public food filter html 140 sudoku solver https zerooctave github io zerooctave javascript projects public sudokusolver html 141 candy store https zerooctave github io zerooctave javascript projects public candy store index html 142 word search https zerooctave github io zerooctave javascript projects public wordsearch html 143 country capital homepage https zerooctave github io zerooctave javascript projects public country capital homepage html 144 flappy bird https zerooctave github io zerooctave javascript projects public flappybird html 145 connect four https zerooctave github io zerooctave javascript projects public connectfour html 146 maze game https zerooctave github io zerooctave javascript projects public mazegame html 147 coin toss game https zerooctave github io zerooctave javascript projects public coin toss game html 148 movies recommendation page https zerooctave github io zerooctave javascript projects public movies rec html 149 myntra clone https zerooctave github io zerooctave javascript projects public myntraclone html 150 random choice picker https zerooctave github io zerooctave javascript projects public randomchoicepicker html 151 daily prophet https zerooctave github io zerooctave javascript projects public dailyprophet html 152 moving car https zerooctave github io zerooctave javascript projects public movingcar html 153 postmaster https zerooctave github io zerooctave javascript projects public postmaster html 154 wordle clone https zerooctave github io zerooctave javascript projects public wordle clone html 155 feedback and reply https zerooctave github io zerooctave javascript projects public feedbackthankyou html 156 range slider https zerooctave github io zerooctave javascript projects public rangeslider html 157 vigenere cipher https zerooctave github io zerooctave javascript projects public vigenerecipher html 158 expanding cards ui design https zerooctave github io zerooctave javascript projects public expandingcardsuidesign html 159 grocery manager https zerooctave github io zerooctave javascript projects public grocerymanager html 160 reflex trainer https zerooctave github io zerooctave javascript projects public reflex training html 161 birthday card https zerooctave github io zerooctave javascript projects public birthday card html 162 cv screener https zerooctave github io zerooctave javascript projects public cv screener html 163 switching testimonial box https zerooctave github io zerooctave javascript projects public switchingtestimonialbox html 164 2048 game https zerooctave github io zerooctave javascript projects public 2048 html 165 color game https zerooctave github io zerooctave javascript projects public color game html 166 animated eye https zerooctave github io zerooctave javascript projects public animatedeye html 167 tourist website https zerooctave github io zerooctave javascript projects public tourist website index html 168 audio play https zerooctave github io zerooctave javascript projects public audioplay html 169 tearable cloth https zerooctave github io zerooctave javascript projects public tearable cloth html 170 rain effects https zerooctave github io zerooctave javascript projects public raineffects html 171 camera web app https zerooctave github io zerooctave javascript projects public camera app html 172 dynamic picture frame https zerooctave github io zerooctave javascript projects public picture frame html 173 faq collapse https zerooctave github io zerooctave javascript projects public faqcollapse html 174 multiplication table generator https zerooctave github io zerooctave javascript projects public multiplication table generator html 175 expense tracker calculator https zerooctave github io zerooctave javascript projects public trackerexpense index html 176 check my ip https zerooctave github io zerooctave javascript projects public check my ip check my ip html 177 socialtray https rococo praline 28f4e4 netlify app 178 simplyrecipes https zerooctave github io zerooctave javascript projects public simplyrecipes 179 employee database https zerooctave github io zerooctave javascript projects public employeedatabase html br div id maintainer div project maintainers table tbody tr td align center a href https github com astrodevil img alt github profile of mr nand src https avatars githubusercontent com u 73425223 v 4 width 130px br sub b mr nand b sub a br a href https github com zerooctave zerooctave javascript projects commits author astrodevil title code a td a td td align center a href https github com noir 07 img alt github profile of abhishek kumar src https avatars githubusercontent com u 73756334 v 4 width 130px br sub b abhishek kumar b sub a br a href https github com zerooctave zerooctave javascript projects commits author noir 07 title code a td a td td align center a href https github com sreelakshmig009 img alt github profile of sreelakshmi g src https avatars githubusercontent com u 81172589 v 4 width 130px br sub b sreelakshmi g b sub a br a href https github com zerooctave zerooctave javascript projects commits author sreelakshmig009 title code a td a td td align center a href https github com anmol baranwal img alt github profile of anmol baranwal src https avatars githubusercontent com u 74038190 v 4 width 130px br sub b anmol baranwal b sub a br a href https github com zerooctave zerooctave javascript projects commits author anmol baranwal title code a td a td tr tbody table a href https github com zerooctave zerooctave javascript projects img src 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a a href https github com zerooctave zerooctave javascript projects issues issue a and mention there which new features or extension can make this project better br br p align right a href top img src https img shields io badge back 20to 20top red style for the badge a p div align center show some by starring this awesome repository div div id bottom div | html5 css3 javascript contributions-welcome good-first-issue beginner-friendly javascriptprojects webdevelopment hacktoberfest html hactoberfest-accepted hacktoberfest2022 | front_end |
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debug windows linux mac br hr github com boltdb bolt https github com boltdb bolt k v github com spf13 viper https github com spf13 viper github com golang crypto https github com golang crypto github com libp2p go libp2p https github com libp2p go libp2p ipfs p2p github com corgi kx logcustom https github com corgi kx logcustom hr 1 demo linux mac shell git clone https github com corgi kx blockchain golang git shell go build mod vendor o chain main go br 2 p2p https img blog csdnimg cn 20191118103707708 png br 3 ip br demo shell vi config yaml yaml blockchain mine difficulty value 24 token reward num 25 trade pool length 2 log path chinese mnemonic path chinese mnemonic world txt network ip listen host 192 168 0 164 listen port 9000 rendezvous string meetme id id protocol id chain 1 1 0 br 4 1 shell chain https img blog csdnimg cn 20191118101305498 png x oss process image watermark type zmfuz3pozw5nagvpdgk shadow 10 text ahr0chm6ly9ibg9nlmnzzg4ubmv0l3fxxzm1otexmtg0 size 16 color 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1b6kydabxzdwq8xgtbddknphbo11ckihxs 3 setrewardaddr a 1e6arbxfncasypunjgxpjybr4jq3gz6hhd 1e6arbxfncasypunjgxpjybr4jq3gz6hhd 1 10tokens transfer from 12bwtcvwimms9rrkxxocev68wogymys4sk 12bwtcvwimms9rrkxxocev68wogymys4sk to 1b6kydabxzdwq8xgtbddknphbo11ckihxs 1e6arbxfncasypunjgxpjybr4jq3gz6hhd amount 10 10 https img blog csdnimg cn 2019111815314125 png x oss process image watermark type zmfuz3pozw5nagvpdgk shadow 10 text ahr0chm6ly9ibg9nlmnzzg4ubmv0l3fxxzm1otexmtg0 size 16 color ffffff t 70 br 7 2 2 25tokens https img blog csdnimg cn 20191118153547470 png getbalance getbalance a 12bwtcvwimms9rrkxxocev68wogymys4sk 12bwtcvwimms9rrkxxocev68wogymys4sk 80 getbalance a 1b6kydabxzdwq8xgtbddknphbo11ckihxs 1b6kydabxzdwq8xgtbddknphbo11ckihxs 35 getbalance a 1e6arbxfncasypunjgxpjybr4jq3gz6hhd 1e6arbxfncasypunjgxpjybr4jq3gz6hhd 10 br 8 printallblock 1 12bwtcvwimms9rrkxxocev68wogymys4sk 100utxo 2 br 12bwtcvwimms9rrkxxocev68wogymys4sk 100 utxo 90utxo 1b6kydabxzdwq8xgtbddknphbo11ckihxs 10utxo br 12bwtcvwimms9rrkxxocev68wogymys4sk 90 utxo 80utxo 1e6arbxfncasypunjgxpjybr4jq3gz6hhd 10utxo br 1b6kydabxzdwq8xgtbddknphbo11ckihxs 25utxo 25 printallblock hash 00000008acfb9a8dcf3bb923f4eb6f2ddfc27dcaff861ea6848a9074ca46d85b id 988ecbe7f374855aa94addb873f22960cf43646bdaeb562533f3e683478270db tx input id bb717bd6717c8cae3829875187b97f256859277ad4a52ac57cdbc132895ca154 0 8c8b0628ceadebbc9e97b490a40a23494d3f8286f1af045f1e1f18d529c49a90afa194799182c264ee15871b5dd35c773e5dd46427fc8e2c268356ce09f6b60b 8e0f1fe7d6177f11027818663048392cee8952cefcf1ceeec8edc84e176f46cedd338575f709b412eeab904d7027056354038f8aef7a1940f45264f7116ba793 12bwtcvwimms9rrkxxocev68wogymys4sk tx output 90 hash 0d0a1aeb1baf838828a54ac97b09524f0b0c3210 12bwtcvwimms9rrkxxocev68wogymys4sk 10 hash 6eb2d1846217aa089dfa26e3147b767e1de0b08d 1b6kydabxzdwq8xgtbddknphbo11ckihxs id 443b4a4f04204bd8ed2bdfcc096642a27457c27aa47c2ee81486d7440b059521 tx input id 988ecbe7f374855aa94addb873f22960cf43646bdaeb562533f3e683478270db 0 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12bwtcvwimms9rrkxxocev68wogymys4sk 2019 11 18 10 43 41 am 1 8604076799988393002 hash 0000000000000000000000000000000000000000000000000000000000000000 br 9 2 3 importmnword m br br | bitcoin pow blockchain golang p2p utxo crypto | blockchain |
openstack-REST | openstack rest project for the cloud computing course of the master of science in computer engineering university of pisa requirements the application must allow to schedule the automatic creation of an additional set of vms of a certain type at peak hours the following functionalities must be implemented at initialization the application should create two new flavors on the platform one standard flavor and a large flavor with more resources at scheduled time instances the application should trigger the creation of new vms based on one of the two flavors and an existing image at the end of the scheduled peak period the application should kill the additional vms in order to allow system administrator to schedule for the creation of new vms the application must expose a rest interface to schedule for the peak periods it should also enable the user to select the flavor and the image for the vms to be created repository the repository is organized in this way api directory contains the implementation of the api server web directory containes the implementation of the web server api server the api server communicates with the openstack instance through the openstacksdk https github com openstack openstacksdk python library and exposes the following endpoints get images returns all the images available on the system get flavors returns all the flavors available on the system get networks returns all the networks available on the system get schedules returns all the schedules programmed by the user post schedules creates a new schedule delete schedules scheduleid deletes the schedule identified by scheduleid the apis have been designed using swagger https swagger io from which the python flask server is built web server the web server offers a gui for managing schedules specifically it is used for the creation and deletion of schedules by interacting with the api server it is implemented using flask https flask palletsprojects com en 1 1 x usage both services can be deployed by bash docker compose up it starts the api service on port 8080 and the web service on port 8000 contributors francesco barbarulo https github com francescobarbarulo diego casu https github com diegocasu bruk tekalgne gurmesa https github com brukt giovan battista rolandi https github com giomba | cloud |
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FEWD-2014-Spring | fewd spring 2014 front end web development course files | front_end |
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M2-EmbSys | m2 embsys design and simulation of circuits and embedded systems case study 1 simple embeded system microwave oven 2 a mid level to complex embeded system washing machine | os |
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OpenNMT-py | opennmt py open source neural machine translation and large language models build status https github com opennmt opennmt py workflows lint 20 20tests badge svg https github com opennmt opennmt py actions documentation https img shields io badge docs latest blue svg https opennmt net opennmt py gitter https badges gitter im opennmt opennmt py svg https gitter im opennmt opennmt py utm source badge utm medium badge utm campaign pr badge forum https img shields io discourse status server https 3a 2f 2fforum opennmt net 2f https forum opennmt net opennmt py is the pytorch https github com pytorch pytorch version of the opennmt https opennmt net project an open source mit neural machine translation and beyond framework it is designed to be research friendly to try out new ideas in translation language modeling summarization and many other nlp tasks some companies have proven the code to be production ready we love contributions please look at issues marked with the contributions welcome https github com opennmt opennmt py issues q is 3aissue is 3aopen label 3a 22contributions welcome 22 tag before raising an issue make sure you read the requirements and the full documentation https opennmt net opennmt py examples unless there is a bug please use the forum https forum opennmt net or gitter https gitter im opennmt opennmt py to ask questions for beginners there is a step by step and explained tuto thanks to yasmin moslem tutorial https github com ymoslem opennmt tutorial please try to read and or follow before raising newbies issues otherwise you can just have a look at the quickstart https opennmt net opennmt py quickstart html steps new you will need pytorch v2 preferably v2 1 which fixes some scaled dot product attention issues llm support with converters for llama mistral openllama redpajama mpt 7b falcon support for 8bit and 4bit quantization along with lora adapters with or without checkpointing you can finetune 7b and 13b models on a single rtx 24gb with 4 bit quantization inference can be forced in 4 8bit using the same layer quantization as in finetuning tensor parallelism when the model does not fit on one gpu s memory both training and inference once your model is finetuned you can run inference either with opennmt py or faster with ctranslate2 mmlu evaluation script see results here https github com opennmt opennmt py blob master eval llm mmlu readme md for all usecases including nmt you can now use multiquery instead of multihead attention faster at training and inference and remove biases from all linear qkv as well as feedforward modules if you used previous versions of opennmt py you can check the changelog https github com opennmt opennmt py blob master changelog md or the breaking changes https github com opennmt opennmt py blob master docs source changes md tutorials how to replicate vicuna with a 7b or 13b llama or open llama mpt 7b redpajama language model tuto vicuna https github com opennmt opennmt py blob master docs source examples replicate vicuna replicatevicuna md how to finetune nllb 200 with your dataset tuto finetune nllb 200 https forum opennmt net t finetuning and curating nllb 200 with opennmt py 5238 how to create a simple opennmt py rest server tuto rest https forum opennmt net t simple opennmt py rest server 1392 how to create a simple web interface tuto streamlit https forum opennmt net t simple web interface 4527 replicate the wmt17 en de experiment wmt17 ende https github com opennmt opennmt py blob master docs source examples wmt17 translation md setup opennmt py requires python 3 8 pytorch 2 0 2 2 install opennmt py from pip bash pip install opennmt py or from the sources bash git clone https github com opennmt opennmt py git cd opennmt py pip install e note if you encounter a memoryerror during installation try to use pip with no cache dir optional some advanced features e g working pretrained models or specific transforms require extra packages you can install them with bash pip install r requirements opt txt manual installation of some dependencies apex is highly recommended to have fast performance especially the legacy fusedadam optimizer and fusedrmsnorm shell git clone https github com nvidia apex cd apex pip3 install v no build isolation config settings build option cpp ext cuda ext deprecated fused adam xentropy fast multihead attn cd flash attention as of oct 2023 flash attention 1 has been upstreamed to pytorch v2 but it is recommended to use flash attention 2 with v2 3 1 for sliding window attention support when using regular position encoding true or rotary with max relative positions 1 opennmt py will try to use an optimized dot product path if you want to use flash attention https github com dao ailab flash attention installation and features then you need to manually install it first bash pip install flash attn no build isolation if flash attention 2 is not installed then we will use f scaled dot product attention from pytorch 2 x when using max relative positions 0 or alibi max relative positions 2 opennmt py will use its legacy code for matrix multiplications flash attention and f scaled dot product attention are a bit faster and saves some gpu memory documentation faqs full html documentation https opennmt net opennmt py quickstart html faqs https github com opennmt opennmt py blob master docs source faq md acknowledgements opennmt py is run as a collaborative open source project project was incubated by systran and harvard nlp in 2016 in lua and ported to pytorch in 2017 current maintainers since 2018 fran ois hernandez https github com francoishernandez vincent nguyen https github com vince62s seedfall citation if you are using opennmt py for academic work please cite the initial system demonstration paper https www aclweb org anthology p17 4012 published in acl 2017 misc klein2018opennmt title opennmt neural machine translation toolkit author guillaume klein and yoon kim and yuntian deng and vincent nguyen and jean senellart and alexander m rush year 2018 eprint 1805 11462 archiveprefix arxiv primaryclass cs cl | deep-learning pytorch machine-translation neural-machine-translation language-model llms | ai |
meve | div align center a href https artsdt github io meve img src https artsdt github io meve logo svg width 150 a h1 meve ui h1 p vue2 argon design p p a href https artsdt github io meve a p div cdn html div id app div script src https cdn jsdelivr net npm vue 2 6 14 script script src https cdn jsdelivr net npm meve ui umd meve js script script src https cdn jsdelivr net npm meve touch emulator iife js script script vue use meve new vue template m button meve m button mount app script webpack vite shell install with npm or yarn or pnpm npm npm i meve ui meve touch emulator s yarn yarn add meve ui meve touch emulator pnpm pnpm add meve ui meve touch emulator js import vue from vue import app from app vue import meve from meve ui import meve ui es style js import meve touch emulator vue use meve new vue render h h app mount app vue version dev progress status vue2 60 wip vue3 0 pending | vue2 uikit argon-design-system | os |
FreeRTOS-Libraries-Integration-Tests | freertos libraries integration tests overview this repository contains tests that verify an integration of freertos iot libraries running on a specific microcontroller based development board for robustness and compatibility with aws s published best practices for aws iot core connectivity refer to freertos porting guide https docs aws amazon com freertos latest portingguide afr porting html for how to port freertos libraries and test your project the tests are used by aws iot device tester https docs aws amazon com freertos latest userguide device tester for freertos ug html idt as part of the aws device qualification for freertos https docs aws amazon com freertos latest qualificationguide afr qualification html the tests can also be run locally from your ide to verify your project but a test report from idt is required for aws device qualification tests the following test groups are included in this repository 1 transport interface test validates the implementation of transport interface required by coremqtt https docs aws amazon com freertos latest portingguide afr porting mqtt html and corehttp https docs aws amazon com freertos latest portingguide afr porting corehttp html the implementation can be plain text or tls see transport interface test src transport interface for details 2 pkcs11 test validates the implementation of pkcs11 interface required by corepkcs11 https docs aws amazon com freertos latest portingguide afr porting pkcs html see pkcs11 test src pkcs11 for details 3 ota test validates the implementation of physical abstract layer for over the air updates https docs aws amazon com freertos latest portingguide afr porting ota html see ota test src ota for details 4 mqtt test validates the integration with coremqtt library folder structure the folder inside the repository is organized as follows config template src common mqtt ota pkcs11 transport interface tools the root of the repository contains following top level folders 1 config template contains configuration header templates the templates should be copied into the parent project if running the tests with idt there is no need to edit the copied templates if running the tests without idt users need to fill in configuration values in the copied templates 2 src contains source code for the tests each test set is contained in a subfolder inside src refer to readme in each subfolder for details of the test group test cases and how to run these tests 3 tools contains utility tools for the tests such as echo server for transport interface test getting started prerequisites 1 the tests are ran as an individual test task you should have a working freertos project to add test task on 2 unity test framework is used to run the tests see unity https github com throwtheswitch unity for integration guide follow these steps to set up the tests 1 add freertos libraries integration tests as a submodule in your project with the following command git submodule add https github com freertos freertos libraries integration tests git path to submodule 2 change directory to the freertos libraries integration tests submodule with the following command cd path to submodule 3 determine the version of this repository needed according to the tables below if testing using the freertos https github com freertos freertos repository freertos release tag freertos libraries integration tests release tag 202112 00 https github com freertos freertos tree 202112 00 202205 01 https github com freertos freertos libraries integration tests tree 202205 01 202210 00 https github com freertos freertos tree 202210 00 202210 00 https github com freertos freertos libraries integration tests tree 202210 00 if testing using the freertos lts https github com freertos freertos lts repository freertos lts release tag freertos libraries integration tests release tag 202012 00 lts https github com freertos freertos lts tree 202012 00 lts 202205 01 https github com freertos freertos libraries integration tests tree 202205 01 202012 01 lts https github com freertos freertos lts tree 202012 01 lts 202205 01 https github com freertos freertos libraries integration tests tree 202205 01 202012 02 lts https github com freertos freertos lts tree 202012 02 lts 202205 01 https github com freertos freertos libraries integration tests tree 202205 01 202012 03 lts https github com freertos freertos lts tree 202012 03 lts 202205 01 https github com freertos freertos libraries integration tests tree 202205 01 202012 04 lts https github com freertos freertos lts tree 202012 04 lts 202205 01 https github com freertos freertos libraries integration tests tree 202205 01 202012 05 lts https github com freertos freertos lts tree 202012 05 lts 202205 01 https github com freertos freertos libraries integration tests tree 202205 01 202210 00 lts https github com freertos freertos lts tree 202210 00 lts 202210 00 https github com freertos freertos libraries integration tests tree 202210 00 4 checkout the version of this repository needed with the following command git checkout freertos libraries integration tests tag 5 copy config template test execution config template h and config template test param config template h to a project location in the build path and rename them to test execution config h and test param config h 6 include relevant files into the build system if using cmake qualification test cmake and corresponding test cmake files in src can be used to include relevant files 7 implement platform functions in src common platform function h https github com freertos freertos libraries integration tests blob main src common platform function h 8 implement test specific configurations this is usually in the form of implementing a parameter setup function which should fill out the struct of parameters passed into the function please refer to the documentation of specific tests 9 in your application call runqualificationtest function to start qualification tests for running the tests locally using your ide 1 in test param config h fill out the parameters required by the test 2 in test execution config h set test name test enabled to 1 3 compile and run the test application in your development environment for running the tests using aws iot device tester for device qualification see aws qualification program for freertos https docs aws amazon com freertos latest qualificationguide afr qualification html for details contribution see contributing contributing md for more information license this library is distributed under the mit open source license license | os |
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threadx | azure rtos threadx this advanced real time operating system rtos is designed specifically for deeply embedded applications among the multiple benefits it provides are advanced scheduling facilities message passing interrupt management and messaging services azure rtos threadx has many advanced features including picokernel architecture preemption threshold event chaining and a rich set of system services here are the key features and modules of threadx threadx key features docs threadx features png getting started azure rtos has been integrated to the semiconductor s sdks and development environment you can develop using the tools of choice from stmicroelectronics https www st com content st com en campaigns x cube azrtos azure rtos stm32 html nxp https www nxp com design software embedded software azure rtos for nxp microcontrollers azure rtos renesas https github com renesas azure rtos and microchip https mu microchip com get started simplifying your iot design with azure rtos we also provide getting started guide https github com azure rtos getting started and samples https github com azure rtos samples using hero development boards from semiconductors you can build and test with see overview of azure rtos threadx https learn microsoft com en us azure rtos threadx overview threadx for the high level overview and all documentation and apis can be found in azure rtos threadx documentation https learn microsoft com en us azure rtos threadx also there is dedicated learning path of azure rtos threadx https learn microsoft com training paths azure rtos threadx for learning systematically repository structure and usage directory layout cmake cmakelist files for building the project common core threadx files common modules core threadx module files common smp core threadx smp files docs documentation supplements ports architecture and compiler specific files see below for directory breakdown cortex m7 iar example iar compiler sample project example build iar workspace and sample project files inc tx port h for this architecture src source files for this architecture ac6 example ac6 keil sample project gnu example gnu sample project ports modules architecture and compiler specific files for threadx modules ports smp architecture and compiler specific files for threadx smp samples demo threadx c utility test cases and utilities branches releases the master branch has the most recent code with all new features and bug fixes it does not represent the latest general availability ga release of the library each official release preview or ga will be tagged to mark the commit and push it into the github releases tab e g v6 2 rel when you see xx xx xxxx 6 x or x x in function header this means the file is not officially released yet they will be updated in the next release see example below function release tx initialize low level cortex m23 gnu 6 x author scott larson microsoft corporation description this function is responsible for any low level processor initialization including setting up interrupt vectors setting up a periodic timer interrupt source saving the system stack pointer for use in isr processing later and finding the first available ram memory address for tx application define input none output none calls none called by tx initialize kernel enter threadx entry function release history date name description 09 30 2020 scott larson initial version 6 1 xx xx xxxx scott larson include tx user h resulting in version 6 x supported architecture ports threadx arc em cortex a12 cortex m0 cortex r4 arc hs cortex a15 cortex m23 cortex r5 arm11 cortex a17 cortex m3 cortex r7 arm9 cortex a34 cortex m33 c667x cortex a35 cortex m4 linux cortex a5 cortex m55 risc v32 cortex a53 cortex m7 rxv1 cortex a55 cortex m85 rxv2 cortex a57 rxv3 cortex a5x win32 cortex a65 xtensa cortex a65ae cortex a7 cortex a72 cortex a73 cortex a75 cortex a76 cortex a76ae cortex a77 cortex a8 cortex a9 threadx modules azure rtos threadx modules https learn microsoft com azure rtos threadx modules chapter1 component provides an infrastructure for applications to dynamically load modules that are built separately from the resident portion of the application cortex a35 cortex a35 smp cortex a7 cortex m0 cortex m23 cortex m3 cortex m33 cortex m4 cortex m7 cortex r4 rxv2 threadx smp azure rtos threadx smp https learn microsoft com azure rtos threadx threadx smp chapter1 is a high performance real time smp kernel designed specifically for embedded applications arc hs smp cortex a34 smp cortex a35 smp cortex a53 smp cortex a55 smp cortex a57 smp cortex a5x smp cortex a5 smp cortex a65ae smp cortex a65 smp cortex a72 smp cortex a73 smp cortex a75 smp cortex a76ae smp cortex a76 smp cortex a77 smp cortex a78 smp cortex a7 smp cortex a9 smp linux adaptation layer for threadx azure rtos threadx is an advanced real time operating system rtos designed specifically for deeply embedded applications to help ease application migration to azure rtos threadx provides adaption layers https github com azure rtos threadx tree master utility rtos compatibility layers for various legacy rtos apis freertos posix osek etc component dependencies the main components of azure rtos are each provided in their own repository but there are dependencies between them as shown in the following graph this is important to understand when setting up your builds dependency graph docs deps png you will have to take the dependency graph above into account when building anything other than threadx itself building and using the library instruction for building the threadx as static library using arm gnu toolchain and cmake if you are using toolchain and ide from semiconductor you might follow its own instructions to use azure rtos components as explained in the getting started getting started section 1 install the following tools cmake https cmake org download version 3 0 or later arm gnu toolchain for arm none eabi https developer arm com downloads arm gnu toolchain downloads ninja https ninja build org 1 cloning the repo bash git clone https github com azure rtos threadx git 1 define the features and addons you need in tx user h and build together with the component source code you can refer to tx user sample h https github com azure rtos threadx blob master common inc tx user sample h as an example 1 building as a static library each component of azure rtos comes with a composable cmake based build system that supports many different mcus and host systems integrating any of these components into your device app code is as simple as adding a git submodule and then including it in your build using the cmake add subdirectory while the typical usage pattern is to include threadx into your device code source tree to be built linked with your code you can compile this project as a standalone static library to confirm your build is set up correctly an example of building the library for cortex m4 bash cmake bbuild gninja dcmake toolchain file cmake cortex m4 cmake cmake build build professional support professional support plans https azure microsoft com support options are available from microsoft for community support and others see the resources resources section below licensing license terms for using azure rtos are defined in the license txt file of this repo please refer to this file for all definitive licensing information no additional license fees are required for deploying azure rtos on hardware defined in the licensed hardware txt file if you are using hardware not defined in the licensed hardware txt file or have licensing questions in general please contact microsoft directly at https aka ms azrtos license resources the following are references to additional azure rtos resources product introduction and white papers https azure com rtos general technical questions https aka ms qna azure rtos product issues and bugs or feature requests https github com azure rtos threadx issues licensing and sales questions https aka ms azrtos license product roadmap and support policy https aka ms azrtos lts blogs and videos http msiotblog com and https aka ms iotshow azure rtos tracex installer https aka ms azrtos tracex installer you can also check previous questions https stackoverflow com questions tagged azure rtos threadx or ask new ones on stackoverflow using the azure rtos and threadx tags security azure rtos provides oems with components to secure communication and to create code and data isolation using underlying mcu mpu hardware protection mechanisms it is ultimately the responsibility of the device builder to ensure the device fully meets the evolving security requirements associated with its specific use case contribution please follow the instructions provided in the contributing md contributing md for the corresponding repository | embedded iot mcu microcontroller azure-rtos rtos real-time | os |
Zero-to-Hero-in-NLP | a series of jupyter notebooks to go from zero to hero in nlp visitors https visitor badge laobi icu badge page id samacker77 zero to hero in nlp title daily 20readers h3 style color red with end to end projects in python h3 github doesn t render jupyter notebooks very good clone this repo and read on local will be updating pdf versions soon this repository contains a z techniques for natural language processing for anyone looking to get started in nlp all the way from the roots to the recents developments in huge language models like gpt 3 the tools techniques methods algorithms mentioned in this repository are same as the ones taught by daniel jurafsky in his book speech and language processing along with co author james h martin speech and lanugage processing daniel jurafsky james h martin https web stanford edu jurafsky slp3 ed3book pdf who should use this repository while i highly encourage you to read the above mentioned book but if you don t feel like going through 600 pages use this repo this repository can be used by anyone who want to get started in natural language processing want to learn new tips techniques is looking to brush up their skills of nlp star this repo share with anyone who you think can benefit from this resource follow me on linkedin a href https www linkedin com in samacker77l target blank img src images linkedin png align left height 25 width 25 a br go through my visual work experience a href https sourcerer io samacker77 target blank img src images visual png align left height 25 width 25 a | natural-language-processing machine-learning nlp learning-by-doing | ai |
tinyOS | tinyos rtos | os |
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AltSchool-of-Cloud-Engineering-3rd-Semester-Mini-Project-Submission | altschool of cloud engineering 3rd semester mini project submission repository containing terraform and ansible scripts for the altschool of cloud engineering 3rd semester mini project executing terraform script terraform init terraform plan terraform apply auto approve executing ansible script ansible playbook i host inventory ansible script yml private key keypair file name pem | cloud |
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deep-dream-in-pytorch | deep dream in pytorch pytorch https github com pytorch pytorch implementation of the deep dream https en wikipedia org wiki deepdream computer vision algorithm installation install jupyter notebook with anaconda http jupyter org install run jupyter notebook and open deep dream pytorch ipynb deep dream pytorch ipynb note to improve performance set cuda enabled true in the notebook if you have a capable nvidia gpu examples cloud img cloud jpg deepdream cloud dd deepdream cloud jpg waves img wave jpg deepdream waves dd deepdream wave jpg starry night img starry night jpg deepdream starry night dd deepdream starry night jpg fun video games with good ai https play google com store apps dev id 8454869713871668206 tic tac toe http play google com store apps details id com popoko gomokuvn chess http play google com store apps details id com popoko chessru gomoku http play google com store apps details id com popoko gomokukr minesweeper http play google com store apps details id com popoko minesweeper | deep-learning deep-neural-networks pytorch deep-dream machine-learning ai caffe2 torch deepdream | ai |
CS310-Mobile-Application-Development-Project | cs310 footwear project a new flutter project getting started this project is a starting point for a flutter application a few resources to get you started if this is your first flutter project lab write your first flutter app https flutter dev docs get started codelab cookbook useful flutter samples https flutter dev docs cookbook for help getting started with flutter view our online documentation https flutter dev docs which offers tutorials samples guidance on mobile development and a full api reference | front_end |
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Signature-comparison-using-Siamese-Neural-Network | signature comparison using siamese neural network ai computer vision based signature recognition this project focuses on signature verification by keras and objecttensorflow detection api https github com tensorflow models tree master research object detection the system shall work in 2 steps step 1 accept store genuine signature image take actual signature scanned image of the on boarding customer and store it in a database against a unique customer id step 2 accept compare signature images accept inputs of customer id and corresponding signature image compare with the signature stored in db against the given customer id and return a confidence match score between the two signature images more details can be found in ppt dataset used cedar hindi and bengali dataset quick demo https youtu be hrvekq 5gtq the developing is on progress the repo will be updated soon architecture p align center img src imgs architecture png height 420 width 520 p preprocessing p align center img src imgs preprocessing png height 420 width 520 p result 1 p align center img src imgs result1 png height 420 width 520 p result 2 p align center img src imgs result2 jpg height 420 width 520 p tensorflow is an open source software library for numerical computation using data flow graphs nodes in the graph represent mathematical operations while the graph edges represent the multidimensional data arrays tensors communicated between them project demo installation 1 python and pip python is automatically installed on ubuntu take a moment to confirm by issuing a python v command that one of the following python versions is already installed on your system python 2 7 python 3 3 the pip or pip3 package manager is usually installed on ubuntu take a moment to confirm by issuing a pip v or pip3 v command that pip or pip3 is installed we strongly recommend version 8 1 or higher of pip or pip3 if version 8 1 or later is not installed issue the following command which will either install or upgrade to the latest pip version sudo apt get install python pip python dev for python 2 7 sudo apt get install python3 pip python3 dev for python 3 n 2 opencv see required commands to install opencv on ubuntu in here https gist github com dynamicguy 3d1fce8dae65e765f7c4 3 tensorflow install tensorflow by invoking one of the following commands pip install tensorflow python 2 7 cpu support no gpu support pip3 install tensorflow python 3 n cpu support no gpu support pip install tensorflow gpu python 2 7 gpu support pip3 install tensorflow gpu python 3 n gpu support 4 tensorflow object detection api see required commands to install tensorflow object detection api on ubuntu in here https github com tensorflow models blob master research object detection g3doc installation md 5 install flask 6 install sqlite run run py license this system is available under the mit license see the license file for more info | deeplearning neural-network | ai |
electron-multi-monitor | electron multi monitor introduction this package provides web developers with the ability to create applications which cover multiple browser windows via electron https electronjs org it removes the restriction for web developers to only have a single window to develop their product in the library will create linked javascript window objects for you meaning you only need to worry about one window object no need for special communication between the different windows just pure javascript to see the library in action clone the repository and run the example git clone https github com pvrobays electron multi monitor git cd electron multi monitor npm i npm run example demo 2 monitor example img src misc demo 2 monitor gif 10 monitor example overkill but possible img src misc demo 10 monitor gif getting started you can always check out the code from the demo found in the example folder 1 installation import easiest way to install it is via npm https www npmjs com get npm bash npm install electron multi monitor next you ll be able to import the multimonitor object inside your electron https electronjs org app ts import multimonitor from electron multi monitor p s if you re new to electron electron forge https www electronforge io is a great starting point they even have a guide https www electronforge io guides framework integration react with typescript on how to enable typescript react 2 create a multimonitor instance there are 2 ways of creating multimonitor instance 1 use the default instance ts const multimonitor multimonitor instance 2 or create your own via the multimonitorfactory ts const multimonitor new multimonitorfactory create the multimonitor object can be used to adapt move interact with the opened windows within your main process ts interface imultimonitor readonly monitors browserwindow openurl url string numberofmonitors number promise void destroyallmonitors void 3 launch multiple monitors now you can open your multi monitor page via the multimonitor instance ts multimonitor openurl url numberofwindowstoopen then console log monitor windows are opened have your url loaded this will open your url inside the number of windows you ve defined now you ll have the object window electronmultimonitor available in your render process ts interface ielectronmultimonitor readonly mainwindow window readonly othermonitors iothermonitor readonly numberofmonitors number interface iothermonitor readonly htmlroot htmlelement readonly window window it s now your responsibility to render the different ui elements on the different htmlroots if you don t want this responsibility you can check out electron multi monitor react https github com pvrobays electron multi monitor react which does all this for you contribute yes please i m looking for motivated contributors to help me if you re interested don t hesitate to contact me thanks picsum photos https picsum photos hosting the images for the example app | front_end |
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teleport-vision-api | alt text https raw githubusercontent com teleporthq teleport lib js master logo50 png teleporthq vision api alt text https i imgur com k3ut2dv jpg teleporthq vision api teleporthq vision api is a computer vision api specifically trained for detecting atomic ui elements in pictures of hand drawn wireframes as seen in the picture above it uses an architecture based on resnet101 https arxiv org abs 1512 03385 for extracting features and faster r cnn https arxiv org abs 1506 01497 for bounding box proposals the machine learning model was built and trained using tensorflow https github com tensorflow tensorflow list of elements it can distinguish paragraph label header button checkbox radiobutton rating toggle dropdown listbox textarea textinput datepicker stepperinput slider progressbar image video the api is currently in closed alpha but feel free to contact us how do i get a teleport token if you want early access guideline we had to decide on some conventions to obtain better results you can learn more in this blog post https teleporthq io blog enforcing convention for wireframe object detection alt text https teleporthq io playground assets scan0 jpg vision api guidelines using the vision api request send all requests to the api endpoint https api vision teleporthq io v2 detection request header make sure to add a content type key with the value application json and a teleport token key with the key provided by us request body the body of the request is a json with two keys image and threshold image is a required string parameter that denotes the direct url to a publicly available jpg or png image threshold is an optional parameter default value is 0 1 the detection model outputs a confidence score for each detection between 0 and 1 and won t include in the response detections with confidence lower than this threshold request body example img src https i imgur com hztwzls jpg width 300 height 300 image https i imgur com hztwzls jpg threshold 0 5 request example curl x post https api vision teleporthq io v2 detection h content type application json h teleport token your token d image https i imgur com hztwzls jpg threshold 0 5 response if your request is a valid one you will recieve back a json with the following structure box y x height width detectionclass numeric label detectionstring string label score confidence rating the json contains a list of objects each one of this objects corresponding to a detected atomic ui element in the image sent in the request all of the keys will appear in all of the objects in your response array box contains the coordinates of the bounding box surrounding the detected element x and y are the coordinates of the top left corner of the box and width and height are self explanatory all coordinates are normalized between 0 1 where 0 0 is the top left corner of your image and 1 1 is the bottom right corner in other words if you want to get the pixel coordinates you have to multiply x and width with the width of your image and y and height with the height of your image detectionclass is the numeric class of the detection detectionstring is the human readable label of the detection score represents how confident the algorithm is that the predicted object is a correct valid one it takes values between 0 1 where 1 represents a 100 confidence in its detection the detectionclass to detectionstring mapping is done according to this dictionary 1 paragraph 2 dropdown 3 checkbox 4 radiobutton 5 rating 6 toggle 7 textarea 8 datepicker 9 stepperinput 10 slider 11 video 12 label 13 table 14 list 15 header 16 button 17 image 18 linebreak 19 container 20 link 21 textinput response example full response here https gist github com dimitrif 986de27fdc5c849696719b8543ca8d35 box 0 06640399247407913 0 18573421239852905 0 0626835897564888 0 43779563903808594 detectionclass 15 detectionstring header score 0 995826005935669 box 0 16810636222362518 0 18520960211753845 0 04797615110874176 0 17563629150390625 detectionclass 16 detectionstring button score 0 9924671053886414 box 0 8350381255149841 0 5098391771316528 0 05998152494430542 0 23138082027435303 detectionclass 16 detectionstring button score 0 9921296238899231 previous version the previous version of the api is still available at this end point https api vision teleporthq io v1 detection the detectionclass to detectionstring mapping for this previous version is done according to this dictionary 1 paragraph 2 label 3 header 4 button 5 checkbox 6 radiobutton 7 rating 8 toggle 9 dropdown 10 listbox 11 textarea 12 textinput 13 datepicker 14 stepperinput 15 slider 16 progressbar 17 image 18 video how do i get a teleport token if you are interested in using this api feel free to get in touch with us via the following form https docs google com forms d e 1faipqlsdlzil3pnsxzejw2 s9c064k i m q mhpfxulrxzjouurrkw viewform | ai |
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Machine-Learning-with-Python | machine learning with python python codes for common machine learning algorithms | linear-regression polynomial-regression logistic-regression decision-trees random-forest svm svr knn-classification naive-bayes-classifier kmeans-clustering hierarchical-clustering pca lda xgboost-algorithm | ai |
India-Codes | india codes a data set of indian pin codes std codes and rto codes disclaimer most of the data are collected from internet sources like wikipedia feel free to fork it and fix errors if any | os |
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vision-web-service | implement of computer vision by python and tensorflow maybe you need add some files according to the tips when run the scripts blogs https www cnblogs com xiaozhi 5638 https github com sherlockchou86 vision web service blob master demo png | ai |
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Block-Track | block track a basic supply chain management system made with hyperledger blockchain a basic product flow product flow product flow png manufacturer distributor retailer customer medium articles part 1 https medium com coinmonks building a blockchain application using hyperledger fabric with angular frontend part 1 f070bf169231 part 2 https medium com coinmonks building a blockchain application using hyperledger fabric with angular frontend part 2 22ef7c77f53 bug fixes https medium com coinmonks fixing transaction issue in angular for hyperledger fabric blockchain application fe7e28a7bb6e | blockchain |
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magento2-alpaca-components | greenkeeper badge https badges greenkeeper io snowdogapps magento2 alpaca components svg https greenkeeper io browser status https badges herokuapp com browsers googlechrome 63 64 65 66 67 firefox 58 59 safari 11 iphone 11 2 android 64 iexplore 11 microsoftedge 16 this project is deprecated please use alpaca 2 0 https github com snowdogapps magento2 alpaca theme instead hr introduction components library of alpaca design system https www uxpin com studio blog design systems vs pattern libraries vs style guides whats difference created to speed up the process of working with design on magento 2 stores by creating each ui element module and view in a simplified front end developer friendly environment this components liblary is built on top of fractal js http fractal build guide magento 2 experience isn t required to work with this code demo preview https alpaca components now sh installation install dependencies using yarn run gulp dev to start fractal js development server run gulp if you want to generate static files for example to deploy them how to create a components library on top of alpaca it s necessary only to work outside the magento 1 copy paste package json gulpfile js eslintignore eslintrc sass lint yml stylelintrc gitignore files to the new project 2 create modules json file with an array of paths to parent components libraries in most cases it will look like this json snowdog module alpaca components 3 customize or add new files following the same structure as in alpaca components library 4 run gulp dev directory structure components directory is what you are going to import into the magento 2 theme docs and public are just for the local environment purposes you will find there sample images testing libs utility styles etc core concepts components architecture components are divided into 4 groups 1 globals contains code that other components can use in any place for example typography icons or sass variables 2 elements smallest ui parts for example buttons element can t depend on other elements element shouldn t have any layout 3 modules more complex ui parts like search form or header takes elements or modules and combine them together adding layout and context 4 views takes elements or modules and combine them together adding final layout and context you should be able to show it to client pm as a preview of ready to use store you shouldn t create any new ui elements everything needs to be reusable naming group name needs to be plural component name needs to be singular component name shouldn t be related to any project or place in the layout bad filters good dropdown list or collapsible list avoid using box block item info text cms especialy combined together for example info box avoid naming two components in similar way i e cms subcategories and cms subcategory colors by default alpaca components uses up to 7 step grayscale sass variables naming follow bem like naming convention i e when you component name is button and you are creating a variable for a padding it should be button padding same as in bem you are not allowed to build construction like button icon padding it should be button icon padding variables related to the pseudo classes and pseudo selectors should be treated as a bem elements button color hover also bem modificators are allowed in variables button padding secondary you can even stack them like this button padding secondary dark to target variable to specific breakpoint adding breakpoint at the end of the variable name button padding medium always use small medium large etc to describe the breakpoint examples of proper variables names scss swatch option border swatch option border color hover swatch option image height large swatch option size small swatch option image width small swatch option image width small large accessibility you can run gulp a11y to run dev server with accessibility tests enabled if on some view there is no a11y message please go to the component config and comment out preview docs only styles | os |
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solana | p align center a href https solana com img alt solana src https i imgur com ikyzq6t png width 250 a p solana crate https img shields io crates v solana core svg https crates io crates solana core solana documentation https docs rs solana core badge svg https docs rs solana core build status https badge buildkite com 8cc350de251d61483db98bdfc895b9ea0ac8ffa4a32ee850ed svg branch master https buildkite com solana labs solana builds branch master codecov https codecov io gh solana labs solana branch master graph badge svg https codecov io gh solana labs solana building 1 install rustc cargo and rustfmt bash curl https sh rustup rs ssf sh source home cargo env rustup component add rustfmt when building the master branch please make sure you are using the latest stable rust version by running bash rustup update when building a specific release branch you should check the rust version in ci rust version sh and if necessary install that version by running bash rustup install version note that if this is not the latest rust version on your machine cargo commands may require an override https rust lang github io rustup overrides html in order to use the correct version on linux systems you may need to install libssl dev pkg config zlib1g dev protobuf etc on ubuntu bash sudo apt get update sudo apt get install libssl dev libudev dev pkg config zlib1g dev llvm clang cmake make libprotobuf dev protobuf compiler on fedora bash sudo dnf install openssl devel systemd devel pkg config zlib devel llvm clang cmake make protobuf devel protobuf compiler perl core 2 download the source code bash git clone https github com solana labs solana git cd solana 3 build bash cargo build testing run the test suite bash cargo test starting a local testnet start your own testnet locally instructions are in the online docs https docs solana com cluster bench tps accessing the remote development cluster devnet stable public cluster for development accessible via devnet solana com runs 24 7 learn more about the public clusters https docs solana com clusters benchmarking first install the nightly build of rustc cargo bench requires the use of the unstable features only available in the nightly build bash rustup install nightly run the benchmarks bash cargo nightly bench release process the release process for this project is described here release md code coverage to generate code coverage statistics bash scripts coverage sh open target cov lcov local index html why coverage while most see coverage as a code quality metric we see it primarily as a developer productivity metric when a developer makes a change to the codebase presumably it s a solution to some problem our unit test suite is how we encode the set of problems the codebase solves running the test suite should indicate that your change didn t infringe on anyone else s solutions adding a test protects your solution from future changes say you don t understand why a line of code exists try deleting it and running the unit tests the nearest test failure should tell you what problem was solved by that code if no test fails go ahead and submit a pull request that asks what problem is solved by this code on the other hand if a test does fail and you can think of a better way to solve the same problem a pull request with your solution would most certainly be welcome likewise if rewriting a test can better communicate what code it s protecting please send us that patch disclaimer all claims content designs algorithms estimates roadmaps specifications and performance measurements described in this project are done with the solana labs inc sl good faith efforts it is up to the reader to check and validate their accuracy and truthfulness furthermore nothing in this project constitutes a solicitation for investment any content produced by sl or developer resources that sl provides are for educational and inspirational purposes only sl does not encourage induce or sanction the deployment integration or use of any such applications including the code comprising the solana blockchain protocol in violation of applicable laws or regulations and hereby prohibits any such deployment integration or use this includes the use of any such applications by the reader a in violation of export control or sanctions laws of the united states or any other applicable jurisdiction b if the reader is located in or ordinarily resident in a country or territory subject to comprehensive sanctions administered by the u s office of foreign assets control ofac or c if the reader is or is working on behalf of a specially designated national sdn or a person subject to similar blocking or denied party prohibitions the reader should be aware that u s export control and sanctions laws prohibit u s persons and other persons that are subject to such laws from transacting with persons in certain countries and territories or that are on the sdn list accordingly there is a risk to individuals that other persons using any of the code contained in this repo or a derivation thereof may be sanctioned persons and that transactions with such persons would be a violation of u s export controls and sanctions law | ledger blockchain solana performance-blockchain rustc bitcoin rust | blockchain |
nlp-pytorch-zh | pytorch cover jpg yif du https yifdu github io cc by nc nd 4 0 https creativecommons org licenses by nc nd 4 0 nlp nlp pytorch 0 2 pytorch 0 2 0 4 pytorch 1 0 pytorch 0 4 pytorch 1 0 https nlp pt apachecn org gitee https apachecn gitee io nlp pytorch zh apachecn http docs apachecn org apachecn 724187166 http shang qq com wpa qunwpa idkey 9bcf2fb3985835c9c2f15783ec9c85822e23be1191a6581eaf22f574b5192b19 https github com joosthub pytorchnlpbook pull request https github com wizardforcel 562826179 apachecn nlp pytorch zh https github com apachecn nlp pytorch zh github issue email apachecn 163 com http www apachecn org organization 348 html docker docker pull apachecn0 nlp pytorch zh docker run tid p port 80 apachecn0 nlp pytorch zh http localhost port pypi pip install nlp pytorch zh nlp pytorch zh port http localhost port npm npm install g nlp pytorch zh nlp pytorch zh port http localhost port http data apachecn org img about donate jpg | nlp python pytorch tutorial | ai |
TextTiling | given a text presented in alien life txt find all the possible segment boundaries using texttiling algorithm reference boundaries are marked with in the text perform the following tasks any programming language may be used however you should be able to execute the programs 1 remove all the punctuations and lowercase the characters 2 remove function words link to list of function words is provided 3 perform stemming you may use nltk for this 4 implement texttilingt without using nltk libray and segment alien life txt with it use m sigma to be the threshold where is the m mean depth score and sigma is the standard deviation 5 implement windowdiff measure and report segmentation performance 6 vary pseudo sentence length from 10 to 100 and plot windowdiff value report optimalpseudo sentence length | ai |
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avrasm-RTOS | avrasm rtos rtos rtos easyelectronics ru http we easyelectronics ru rtos 2 0 celeron http inventproject info authors avrasm2 avr studio 4 firmware atmel avr rtos rtos rtos avr8l cpu attiny10 attiny20 attiny40 rtos rtos e g salvo scm avrx rtos avrasm2 firmware atmel avr 8 bit https github com celeron avrasm rtos rtos firmware avr studio 4 rtos rtos data inc rtos macro inc api rtos kernel inc github https github com celeron avrasm newprojecttemplate celeron rtos macrobaselib inc atmel avr 8 bit avr instruction set http inventproject info blog avrasm biblioteka bazovyh makroopredelenij macrobaselib inc https github com celeron avrasm macrobaselib http inventproject info blog avrasm dispetcher zadach rtos 2 0 psevdo kooperativnaya os http inventproject info blog avrasm primer ispolzovaniya dispetchera zadach rtos 2 0 ustanovka i nastrojka di halt rtos http easyelectronics ru tag rtos http we easyelectronics ru blog os rtos http we easyelectronics ru tag rtos | os |
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IoT-Developer-Boot-Camp | div align center img src images miscellaneous projecticon png height 120 div license https img shields io badge license cc 20by nc 204 0 green https github com markding iot developer boot camp blob master license chat https img shields io gitter room markding iot developer boot camp https gitter im silabs iot english chinese readme cn md div align center img src images miscellaneous beacon png height 320 div table of contents background background architecture architecture install install usage usage contribution contribution maintainers maintainers contributors contributors community community changelog changelog background we would like to provide a quick start guide for those customer who are really new on our wireless product to get the project quickly setup and put it into the production after 1 day training course the customer should be in entry level able to get fundamental knowledge of the protocol and able to start their project architecture architecture images miscellaneous architecture png home zigbee bluetooth proprietary zwave platform hardware install get and install simplicity studio https www silabs com products development tools software simplicity studio and sdks usage read document on github wiki https github com markding iot developer boot camp wiki clone hands on code from github to local git clone https github com markding iot developer boot camp git b branch name if you may do the pull request later please fork the repository then clone it contribution please refer to contributing guideline contributing md maintainers div align left img src https avatars2 githubusercontent com u 1233397 s 460 v 4 height 30 mark ding hotmail com div contributors div align left img src https avatars2 githubusercontent com u 1233397 s 460 v 4 height 30 img src https avatars0 githubusercontent com u 22759647 s 460 v 4 height 30 img src https avatars2 githubusercontent com u 5843581 s 460 v 4 height 30 img src https avatars1 githubusercontent com u 9652350 s 460 v 4 height 30 img src https avatars0 githubusercontent com u 22948785 s 460 v 4 height 30 img src https avatars0 githubusercontent com u 55872625 s 460 v 4 height 30 div community slack https silabsiot slack com forum https www silabs com community gitter https gitter im silabs iot changelog changelog md | iot zigbee bluetooth mesh ble-mesh proprietary z-wave boot-camp | server |
Embedded-System-Air-condition | embedded system air condition design methodology internal and external peripherals serial communication timers d a converters interrupt controllers embedded system programming real time operating systems basics of real time programming real time debugging power and memory management https drive google com drive folders 1hzz3g6754wj77zswtbl6iywywzh2nddj usp sharing video and demo can be found in google drive in the link above | os |
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habitrpg-mobile | deprecation notice this app is no longer developed nor maintained we ve switched to native apps for android and ios ios github https github com habitrpg habitrpg ios app store https itunes apple com us app habitica id994882113 ls 1 mt 8 android github https github com habitrpg habitrpg android google play https play google com store apps details id com habitrpg android habitica habitrpg mobile official habitrpg mobile app build with phonegap http cordova apache org and angularjs http angularjs org requirements nodejs and npm are required to build habitrpg mobile please refer to your platform s documentation on how to install these getting started developing locally 1 clone the repository git clone https github com habitrpg habitrpg mobile git 2 install utilities npm install g bower cordova ionic 3 install dependencies npm install 4 install bower components bower install 5 start the local testing server gulp 6 navigate to http localhost 9000 building for mobile platforms are ios or android 1 add cordova platform ionic platform add platform 2 start the application on a connected device ionic run platform for all the other ionic commands see ionic help contributing if you would like to contribute please review the contributing to habitrpg wiki page http habitrpg wikia com wiki contributing to habitrpg issues if you find a general i e not exclusive to mobile platforms habitrpg issue please post it to the main habitrpg issue tracker https github com habitrpg habitrpg issues if you have an ionic framework issue or question consider posting it on the ionic forum http forum ionicframework com if there is truly an ionic framework error follow their guidelines for submitting an issue http ionicframework com contribute issues to the main ionic repository | front_end |
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heyU | heyu heyu is a messaging app based on ionic framework which is based on the angular framework of google the backend is based on firebase this is still under development currently picture and text messages can be sent | server |
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fay-sso | p align center a href https github com love fay fay sso img width 150 src https github com love fay fay sso blob master fay admin src assets images logo 150 3d150 png a p fay sso ie9 ie8 test fay sso fay uc lib fay admin main js fay admin package json fay admin fay uc fay sso npm install fay admin npm start fay uc npm start fay admin 8000 fay uc 8100 http 127 0 0 1 8000 session cookie session sso cookie sso token jwt token let us test this example then see my idea you will find it is so simple download this example you need down all of fay sso because lib of fay uc is used by main js of fay admin so i need to add package json in father of fay admin and fay uc of course we need npm install under fay sso npm install under fay sso and fay admin and fay uc cd fay admin and npm start then cd fay uc and npm start the fay admin s server port default is 8000 the fay uc s server port default is 8100 you can also change it all ready you could open the browser look for 127 0 0 1 8000 if you not login it returns to login page then you input any word to login you will find it returns to home page and look top right corner let s change fay admin s server port to 8001 and open 127 0 0 1 8001 in your browser you can find it has logined yeah this is sso safety is relative session is based on cookie so why we use session achieve sso we use cookie completely then request server with token you can use jwt fay uc src config json pre location http 127 0 0 1 8100 postmessagedomain http 127 0 0 1 8100 cookiemaxage 604800 alloweddomain 127 0 0 1 8000 secure false pre location fay uc postmessagedomain fay admin postmessagedomain fay uc cookiemaxage alloweddomain fay uc sso secure https how p align center a href https github com love fay fay sso img src https github com love fay images blob master sso 20170210150705196 jpeg a p p align center a href https github com love fay fay sso img src https github com love fay images blob master sso 20170210150735478 jpeg a p a com b com uc com a com b com iframe uc com html5 postmessage a com uc com uc com cookie a com cookie b com b com iframe uc com cookie postmessage b com b com cookie b com safari opera iframe cookie a com cookie iframe a com uc com a com cookie uc com uc com cookie a com postmessage iframe why i do it cas session session cookie cookie h5 cookie h5 postmessage | front_end |
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Repo-2017 | python codes in data science codes in nlp deep learning reinforcement learning and artificial intelligence b welcome to my github repo b i am a data scientist and i code in r python and wolfram mathematica here you will find some machine learning deep learning natural language processing and artificial intelligence models i developed keras version used in models keras 1 1 0 b autoencoder for audio b is a model where i compressed an audio file and used autoencoder to reconstruct the audio file for use in phoneme classification b collaborative filtering b is a recommender system where the algorithm predicts a movie review based on genre of movie and similarity among people who watched the same movie b convolutional nn lasagne b is a convolutional neural network model in lasagne to solve the mnist task b ensembled machine learning b is a py file where 7 machine learning algorithms are used in a classification task with 3 classes and all possible hyperparameters of each algorithm are adjusted iris dataset of scikit learn p align center img src https github com rubenszimbres repo 2017 raw master pictures 20 20formulas ensembled machinelearning png raw true p b gan generative adversarial b are models of generative adversarial neural networks b hyperparameter tuning rl b is a model where hyperparameters of neural networks are adjusted via reinforcement learning according to a reward hyperparameter tuning environment is changed through a policy mechanization of knowledge using the boston dataset hyperparameters tuned are learning rate epochs decay momentum number of hidden layers and nodes and initial weights b keras regularization l2 b is a neural network model for regression made with keras where a l2 regularization was applied to prevent overfitting b lasagne neural nets regression b is a neural network model based in theano and lasagne that makes a linear regression with a continuous target variable and reaches 99 4 accuracy it uses the dadosteselogit csv sample file b lasagne neural nets weights b is a neural network model based in theano and lasagne where is possible to visualize weights between x1 and x2 to hidden layer can also be adapted to visualize weights between hidden layer and output it uses the dadosteselogit csv sample file b multinomial regression b is a regression model where target variable has 3 classes b neural networks for regression b shows multiple solutions for a regression problem solved with sklearn keras theano and lasagne it uses the boston dataset sample file from sklearn and reaches more than 98 accuracy p align center img src https github com rubenszimbres repo 2017 raw master pictures 20 20formulas hiddenlayers jpg raw true p b nlp naive bayes classifier b is a model where movie reviews were labeled as positive and negative and the algorithm then classifies a totally new set of reviews using logistic regression decision trees and naive bayes reaching an accuracy of 92 b nlp anger analysis b is a doc2vec model associated with word2vec model to analyze level of anger using synonyms in consumer complaints of a u s retailer in facebook posts b nlp consumer complaint b is a model where facebook posts of a u s computer retailer were scraped tokenized lemmatized and applied word2vec after that t sne and latent dirichlet allocation were developed in order to classify the arguments and weights of each keyword used by a consumer in his complaint the code also analyzes frequency of words in 100 posts b nlp convolutional neural network b is a convolutional neural network for text in order to classify movie reviews b nlp doc2vec b is a natural language procesing file where cosine similarity among phrases is measured through doc2vec b nlp document classification b is a code for document classification according to latent dirichlet allocation b nlp facebook analysis b analyzes facebook posts regarding word frequency and topic modelling using lda b nlp facebook scrap b is a python code for scraping data from facebook b nlp latent dirichlet allocation b is a natural language processing model where a wikipedia page on statistical inference is classified regarding topics using latent dirichlet allocation with gensim nltk t sne and k means b nlp probabilistic ann b is a natural language processing model where sentences are vectorized by gensim and a probabilistic neural network model is deveoped using gensim for sentiment analysis b nlp semantic doc2vec neural network b is a model where positive and negative movie reviews were extracted and semantically classified with nltk and beautifulsoup then labeled as positive or negative text was then used as an input for the neural network model training after training new sentences are entered in the keras neural network model and then classified it uses the zip file b nlp sentiment positive b is a model that identifies website content as positive neutral or negative using beautifulsoup and nltk libraries plotting the results b nlp twitter analysis id b is a model that extracts posts from twitter based in id of user or hashtag b nlp twitter scrap b is a model that scraps twitter data and shows the cleaned text as output b nlp twitter streaming b is a model of analysis of real time data from twitter under development b nlp twitter streaming mood b is a model where the evolution of mood twitter posts is measured during a period of time b nlp wikipedia summarization b is a python code that summarizes any given page in a few sentences b nlp word frequency b is a model that calculates the frequency of nouns verbs words in facebook posts b probabilistic neural network b is a probabilistic neural network for time series prediction b real time twitter analysis b is a model where twitter streaming is extracted words and sentences tokenized word embeddings were created topic modeling was made and classified using k means then nltk sentimentanalyzer was used to classify each sentence of the streaming into positive neutral or negative accumulated sum was used to generate the plot and the code loops each 1 second collecting new tweets b resnet 2 b is a deep residual neural network b roc curve multiclass b is a py file where naive bayes was used to solve the iris dataset task and roc curve of different classes are plotted b squeezenet b is a simplified version of the alexnet b stacked machine learning b is a py notebook where t sne principal components analysis and factor analysis were applied to reduce dimensionality of data classification performances were measured after applying k means b support vector regression b is a svm model for non linear regression in an artificial dataset b text to speech b is a py file where python speaks any given text and saves it as an audio wav file b time series arima b is a arima model to forecast time series with an error margin of 0 2 b time series prediction with neural networks keras b is a neural network model to forecast time series using keras with an adaptive learning rate depending upon derivative of loss p align center img src https github com rubenszimbres repo 2017 blob master pictures 20 20formulas arima 10period png raw true p b variational autoencoder b is a vae made with keras b web crawler b is a code that scraps data from different urls of a hotel website b t sne dimensionality reduction b is a t sne model for dimensionality reduction which is compared to principal components analysis regarding its discriminatory power b t sne pca neural networks b is a model that compares performance or neural networks made after t sne pca and k means b t sne pca lda embeddings b is a model where t sne principal components analysis linear discriminant analysis and random forest embeddings are compared in a task to classify clusters of similar digits p align center img src https github com rubenszimbres repo 2017 raw master pictures 20 20formulas doc2vec png raw true p p align center img src https github com rubenszimbres repo 2017 raw master pictures 20 20formulas t sne lk png raw true p p align center img src https github com rubenszimbres repo 2017 blob master pictures 20 20formulas resnet me jpg raw true p | anomaly-detection deep-learning autoencoder keras keras-models denoising-autoencoders generative-adversarial-network glove keras-layer word2vec nlp natural-language-processing sentiment-analysis opencv segnet resnet-50 variational-autoencoder t-sne svm-classifier latent-dirichlet-allocation | ai |
nlp_smalltalk | natural language processing library for pharo smalltalk copyright 2005 to 2021 by mark watson license mit note the most frequent updates to this pharo smalltalk package will appear on the github repo for this project https github com mark watson nlp smalltalk note 2 on 4 25 2021 i converted this project to use the iceberg github support for pharo smalltalk all source code and data have been moved to the subdirectory src iceberg github documentation https books pharo org booklet managecode pdf 2019 03 24 managecode pdf https books pharo org booklet managecode pdf 2019 03 24 managecode pdf add this repository using the icewberg browser setup to be done one time after loading the code via iceberg part of speech tagging open a file browser and filein the kbsnlp st source file open a class browser and and look at the code in the kbnlp class open a workspace and one time only evaluate nlptagger initializelexicon try tagging a sentence to make sure the data was read from disk correctly nlptagger pptag the dog ran down the street if this does not work then probably the directory nlp smalltalk is not in the default directory the code containing the file path is read filestream filenamed nlp smalltalk lexicon txt readonly categorization i am using neojson to parse the category word count data so make sure neojson is installed neojson can be installed using gofer it smalltalkhubuser svenvancaekenberghe project neo configurationof neojson loadstable one time initialization nlpcategories initializecategoryhash try it nlpcategories classify the economy is bad and taxes are too high entity recognition implemented for products companies places and people s names one time initialization nlpentities initializeentities example nlpentities entities the coca cola factory is in london a dictionary companies a set coca cola places a set london products a set coca cola nlpentities humannamehelper john alex smith and andy jones went to the store a set john alex smith andy jones sentence segmentation one time initialization nlpsentences loaddata nlpsentences sentences today mr jones went to town he bought gas an orderedcollection an orderedcollection today mr jones went to town an orderedcollection he bought gas summarization no additional data needs to be loaded for summarization but all other data should be loaded as per the above directions here is a short example nlpsummarizer summarize the administration and house republicans have asked a federal appeals court for a 90 day extension in a case that involves federal payments to reduce deductibles and copayments for people with modest incomes who buy their own policies the fate of 7 billion in cost sharing subsidies remains under a cloud as insurers finalize their premium requests for next year experts say premiums could jump about 20 percent without the funding in requesting the extension lawyers for the trump administration and the house said the parties are continuing to work on measures including potential legislative action to resolve the issue requests for extensions are usually granted routinely the administration and house republicans have asked a federal appeals court for a 90 day extension in a case that involves federal payments to reduce deductibles and copayments for people with modest incomes who buy their own policies the fate of 7 billion in cost sharing subsidies remains under a cloud as insurers finalize their premium requests for next year in requesting the extension lawyers for the trump administration and the house said the parties are continuing to work on measures including potential legislative action to resolve the issue limitations does not currently handle special characters like categorization and summarization should also use bag of ngrams in addition to bag of words bow | ai |
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tribuo | p align center img width 50 alt tribuo logo src docs img tribuo logo colour png p tribuo a java prediction library v4 3 tribuo https tribuo org is a machine learning library in java that provides multi class classification regression clustering anomaly detection and multi label classification tribuo provides implementations of popular ml algorithms and also wraps other libraries to provide a unified interface tribuo contains all the code necessary to load featurise and transform data additionally it includes the evaluation classes for all supported prediction types development is led by oracle labs https labs oracle com machine learning research group we welcome community contributions all trainers are configurable using the olcut https github com oracle olcut configuration system this allows a user to define a trainer in an xml or json file and repeatably build models example configurations for each of the supplied trainers can be found in the config folder of each package these configuration files can also be written in json or edn by using the appropriate olcut configuration dependency models and datasets are serializable using java serialization all models and evaluations include a serializable provenance object which records the creation time of the model or evaluation the identity of the data and any transformations applied to it as well as the hyperparameters of the trainer in the case of evaluations this provenance information also includes the specific model used provenance information can be extracted as json or serialised directly using java serialisation for production deployments provenance information can be redacted and replaced with a hash to provide model tracking through an external system many tribuo models can be exported in onnx format for deployment in other languages platforms or cloud services tribuo runs on java 8 and we test on lts versions of java along with the latest release tribuo itself is a pure java library and is supported on all java platforms however some of our interfaces require native code and are thus supported only where there is native library support we test on x86 64 architectures on windows 10 macos and linux rhel ol centos 7 as these are supported platforms for the native libraries with which we interface if you re interested in another platform and wish to use one of the native library interfaces onnx runtime tensorflow and xgboost we recommend reaching out to the developers of those libraries note the model card and reproducibility packages require java 17 and as such are not part of the tribuo all maven central deployment documentation library architecture docs architecture md package overview docs packageoverview md javadoc 4 3 https tribuo org learn 4 3 javadoc 4 2 https tribuo org learn 4 2 javadoc 4 1 https tribuo org learn 4 1 javadoc 4 0 https tribuo org learn 4 0 javadoc helper programs docs helperprograms md developer documentation docs internals md roadmap docs roadmap md frequently asked questions docs faqs md tutorials tutorial notebooks including examples of classification clustering regression anomaly detection tensorflow document classification columnar data loading working with externally trained models and the configuration system can be found in the tutorials tutorials these use the ijava https github com spencerpark ijava jupyter notebook kernel and work with java 10 except the model card reproducibility tutorials which require java 17 to convert the tutorials code back to java 8 in most cases simply replace the var keyword with the appropriate types algorithms general predictors tribuo includes implementations of several algorithms suitable for a wide range of prediction tasks algorithm implementation notes bagging tribuo can use any tribuo trainer as the base learner random forest tribuo for both classification and regression extra trees tribuo for both classification and regression k nn tribuo includes options for several parallel backends as well as a single threaded backend neural networks tensorflow train a neural network in tensorflow via the tribuo wrapper models can be deployed using the onnx interface or the tf interface the ensembles and k nn use a combination function to produce their output these combiners are prediction task specific but the ensemble k nn implementations are task agnostic we provide voting and averaging combiners for multi class classification multi label classification and regression tasks classification tribuo has implementations or interfaces for algorithm implementation notes linear models tribuo uses sgd and allows any gradient optimizer factorization machines tribuo uses sgd and allows any gradient optimizer cart tribuo svm sgd tribuo an implementation of the pegasos algorithm adaboost samme tribuo can use any tribuo classification trainer as the base learner multinomial naive bayes tribuo regularised linear models liblinear svm libsvm or liblinear liblinear only supports linear svms gradient boosted decision trees xgboost tribuo also supplies a linear chain crf for sequence classification tasks this crf is trained via sgd using any of tribuo s gradient optimizers tribuo has a set of information theoretic feature selection algorithms which can be applied to classification tasks feature inputs are automatically discretised into equal width bins at the moment this includes implementations of mutual information maximisation mim conditional mutual information maximisation cmim minimum redundancy maximum relevancy mrmr and joint mutual information jmi to explain classifier predictions there is an implementation of the lime algorithm tribuo s implementation allows the mixing of text and tabular data along with the use of any sparse model as an explainer e g regression trees lasso etc however it does not support images regression tribuo s regression algorithms are multidimensional by default single dimensional implementations are wrapped in order to produce multidimensional output algorithm implementation notes linear models tribuo uses sgd and allows any gradient optimizer factorization machines tribuo uses sgd and allows any gradient optimizer cart tribuo lasso tribuo using the lars algorithm elastic net tribuo using the co ordinate descent algorithm regularised linear models liblinear svm libsvm or liblinear liblinear only supports linear svms gradient boosted decision trees xgboost clustering tribuo includes infrastructure for clustering and also supplies two clustering algorithm implementations we expect to implement additional algorithms over time algorithm implementation notes hdbscan tribuo a density based algorithm which discovers clusters and outliers k means tribuo includes both sequential and parallel backends and the k means initialisation algorithm anomaly detection tribuo offers infrastructure for anomaly detection tasks we expect to add new implementations over time algorithm implementation notes one class svm libsvm one class linear svm liblinear multi label classification tribuo offers infrastructure for multi label classification along with a wrapper which converts any of tribuo s multi class classification algorithms into a multi label classification algorithm we expect to add more multi label specific implementations over time algorithm implementation notes independent wrapper tribuo converts a multi class classification algorithm into a multi label one by producing a separate classifier for each label classifier chains tribuo provides classifier chains and randomized classifier chain ensembles using any of tribuo s multi class classification algorithms linear models tribuo uses sgd and allows any gradient optimizer factorization machines tribuo uses sgd and allows any gradient optimizer interfaces in addition to our own implementations of machine learning algorithms tribuo also provides a common interface to popular ml tools on the jvm if you re interested in contributing a new interface open a github issue and we can discuss how it would fit into tribuo currently we have interfaces to liblinear https github com bwaldvogel liblinear java via the liblinear java port of the original liblinear https www csie ntu edu tw cjlin liblinear v2 44 libsvm https www csie ntu edu tw cjlin libsvm using the pure java transformed version of the c implementation v3 25 onnx runtime https onnxruntime ai via the java api contributed by our group v1 12 1 tensorflow https tensorflow org using tensorflow java https github com tensorflow java v0 4 2 based on tensorflow v2 7 4 this allows the training and deployment of tensorflow models entirely in java xgboost https xgboost ai via the built in xgboost4j api v1 6 2 binaries binaries are available on maven central using groupid org tribuo to pull all the java 8 compatible components of tribuo including the bindings for tensorflow onnx runtime and xgboost which are native libraries use maven xml dependency groupid org tribuo groupid artifactid tribuo all artifactid version 4 3 1 version type pom type dependency or from gradle groovy implementation org tribuo tribuo all 4 3 1 pom transitive true for build gradle i e groovy istransitive true for build gradle kts i e kotlin the tribuo all dependency is a pom which depends on all the tribuo subprojects except for the model card and reproducibility projects which require java 17 most of tribuo is pure java and thus cross platform however some of the interfaces link to libraries which use native code those interfaces tensorflow onnx runtime and xgboost only run on supported platforms for the respective published binaries and tribuo has no control over which binaries are supplied if you need support for a specific platform reach out to the maintainers of those projects as of the 4 1 release these native packages all provide x86 64 binaries for windows macos and linux it is also possible to compile each package for macos arm64 i e apple silicon though there are no binaries available on maven central for that platform for tensorflow or xgboost as of the 4 3 release tribuo now depends on a version of onnx runtime which includes support for macos arm64 and linux aarch64 platforms when developing on an arm platform you can select the arm profile in tribuo s pom xml to disable the native library tests individual jars are published for each tribuo module it is preferable to depend only on the modules necessary for the specific project this prevents your code from unnecessarily pulling in large dependencies like tensorflow compiling from source tribuo uses apache maven https maven apache org v3 5 or higher to build tribuo is compatible with java 8 and we test on lts versions of java along with the latest release to build simply run mvn clean package all tribuo s dependencies should be available on maven central please file an issue for build related issues if you re having trouble though do check if you re missing proxy settings for maven first as that s a common cause of build failures and out of our control note if you re building using java 16 or earlier the model card and reproducibility packages will be disabled repository layout development happens on the main branch which has the version number of the next tribuo release with snapshot appended to it tribuo major and minor releases will be tagged on the main branch and then have a branch named va b x release branch for release va b 0 branched from the tagged release commit for any point releases i e va b 1 va b 2 etc following from that major minor release those point releases are tagged on the specific release branch e g v4 0 2 is tagged on the v4 0 x release branch contributing we welcome contributions see our contribution guidelines contributing md we have a discussion mailing list tribuo devel oss oracle com mailto tribuo devel oss oracle com archived here https oss oracle com pipermail tribuo devel we re investigating different options for real time chat check back in the future for bug reports feature requests or other issues please file a github issue https github com oracle tribuo issues security please consult the security guide security md for our responsible security vulnerability disclosure process license tribuo is licensed under the apache 2 0 license license txt release notes v4 3 1 https github com oracle tribuo blob main docs release notes tribuo v4 3 1 release notes md small bug fixes notably to cart trees and example densify bumps dependencies to more secure versions v4 3 0 https github com oracle tribuo blob main docs release notes tribuo v4 3 release notes md model card support feature selection for classification protobuf serialization format kd tree for distance computations speed improvements for sparse linear models version bumps for most dependencies and various other small fixes and improvements v4 2 2 https github com oracle tribuo blob main docs release notes tribuo v4 2 2 release notes md small bug fixes bump tf java to 0 4 2 jackson to 2 13 4 protobuf java to 3 19 6 opencsv to 5 7 1 v4 2 1 https github com oracle tribuo blob main docs release notes tribuo v4 2 1 release notes md bug fixes for kmeans multithreading nondeterministic iteration orders affecting onnx export and k means initialization and upgraded tf java to 0 4 1 v4 2 0 https github com oracle tribuo blob main docs release notes tribuo v4 2 release notes md added factorization machines classifier chains hdbscan added onnx export and oci data science integration added reproducibility framework various other small fixes and improvements including the regression fixes from v4 1 1 filled out the remaining javadoc added 4 new tutorials onnx export multi label classification reproducibility hdbscan expanded existing tutorials v4 1 1 https github com oracle tribuo blob main docs release notes tribuo v4 1 1 release notes md bug fixes for multi output regression multi label evaluation kmeans knn with securitymanager and update tf java 0 4 0 v4 1 0 https github com oracle tribuo blob main docs release notes tribuo v4 1 release notes md added tensorflow training support a bert feature extractor extratrees k means many linear model crf performance improvements new tutorials on tf and document classification many bug fixes documentation improvements v4 0 2 https github com oracle tribuo blob main docs release notes tribuo v4 0 2 release notes md many bug fixes csvdatasource jsondatasource rowprocessor libsvmtrainer evaluations regressor serialization improved javadoc and documentation added two new tutorials columnar data and external models v4 0 1 https github com oracle tribuo blob main docs release notes tribuo v4 0 1 release notes md bugfix for csvreader to cope with blank lines added idxdatasource to allow loading of native mnist format data v4 0 0 https github com oracle tribuo blob main docs release notes tribuo v4 0 release notes md initial public release v3 added provenance system the external model support and onnx integrations v2 expanded beyond a classification system to support regression clustering and multi label classification v1 initial internal release this release only supported multi class classification | machine-learning java deep-learning classification regression clustering nlp ml | ai |
model_response | get responses from llms this repository contains the code to get responses from large language models online requirements to install conda on your remote linux server use the following commands sh cd tmp wget https repo anaconda com miniconda miniconda3 latest linux x86 64 sh sh miniconda3 latest linux x86 64 sh to set up the environment with conda use the following commands sh conda create name get responses c conda forge python 3 7 pattern conda activate get responses python m pip install r requirements txt run the scripts example run sh python main py exp name q and a model type flan model name google flan t5 xl input examples q and a prompt csv output examples q and a response csv batch size 256 sh python main py exp name q and a model type gpt model name text davinci 003 input examples q and a prompt csv output examples q and a response csv batch size 256 if you want to run a bigger model like google flan t5 xxl and if you want to run it on multiple gpus because of out of memory error you can run the above command by replacing python with accelerate launch before running the script make sure to set the accelerate config file by running accelerate config changing parameters exp name your experiment type q and a the most generic type of experiment simply provide a csv file that has prompts on each line triplet provide concepts a b and c on each line let the llm decide if concept a is closer to concept b or concept c feature and concept provide two csv files one with features on each line and one with concepts on each line let the llm generate a prompt for each feature concept pair model type there is only flan and gpt available for now model name google flan t5 xl google flan t5 xxl etc for flan and text davinci 002 text davinci 003 etc for gpt input the path to your input csv file s output the desired path to store your output csv file batch size the batch size of data that is fed to the llm br setting up the api key to use the gpt model please create a file called api key txt under the main directory and paste your openai api key in it please refer to this a href https www educative io courses open ai api natural language processing python 7dxorx8xa0o website a for more information note that depending on your subscription plan your rate limit will be different and the time it takes to get all your responses may varies according to it prompt engineering to play around with prompt engineering check out src prompt engineering ipynb | ai |
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EventManagementSystem | event management system event management system is designed to ease the work of event manager where an application can easily add their event to a specific venue and also avoid any clashes in the same venue date and time group name group b group members name matric no username mohammad mu izzuddin 1918855 mohdmuiz11 nor bedriah binti munadi 1719890 bedriah muhammad izzuddin bin suhaili 1818479 izzuddinsuhaili97 muhammad azri bin zulkarnain 1814867 azurei0 faiq shahmmy bin shalizam 1818897 faiqshahmy tasks name task mu izzuddin add checks for duplication making flatlist layout for all events and use asyncstorage bedriah do the text input dropdown input for the venue and event and styling azri implemented the date picker calendar created an object to save the details of an event to be put into array variables and their state setters izzuddin implemented the alert confirmation on submit button faiq edit the flatlist layout and the alert confirmation dependencies asyncstorage https react native async storage github io async storage docs usage alternative to localstorage which can be use even app exit datetimepicker https github com react native datetimepicker datetimepicker using system date time picker for each platform moment https momentjs com docs use it date time formatter material dropdown https github com n4kz react native material dropdown consistent dropdown menu behaviour for ios android | front_end |
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mender-stm32l4a6-zephyr-example | mender stm32l4a6 zephyr example ci badge https github com joelguittet mender stm32l4a6 zephyr example workflows ci badge svg https github com joelguittet mender stm32l4a6 zephyr example actions issues badge https img shields io github issues joelguittet mender stm32l4a6 zephyr example https github com joelguittet mender stm32l4a6 zephyr example issues license badge https img shields io github license joelguittet mender stm32l4a6 zephyr example https github com joelguittet mender stm32l4a6 zephyr example blob master license mender mcu client https github com joelguittet mender mcu client is an open source over the air ota library updater for mcu devices this demonstration project runs on stm32l4 hardware using zephyr rtos getting started this project is used with a nucleo l4a6zg https www st com en evaluation tools nucleo l4a6zg html evaluation board and an ethernet w5500 https www wiznet io product item w5500 module available low cost at several places the device tree overlay nucleo l4a6zg firmware overlay specifies the wiring of the module as illustrated on the following image and it is possible to adapt it to your own hardware nucleo l4a6zg and w5500 wiring https raw githubusercontent com joelguittet mender stm32l4a6 zephyr example master github docs wiring png the project is built using zephyr rtos v3 4 0 and zephyr sdk v0 16 0 it depends on cjson https github com davegamble cjson there is no other dependencies to start using mender we recommend that you begin with the getting started section in the mender documentation https docs mender io to start using zephyr we recommend that you begin with the getting started section in the zephyr documentation https docs zephyrproject org latest develop getting started index html it is highly recommended to be familiar with zephyr environment and tools to use this example open the project clone the project and retrieve mender mcu client and cjson submodules using git submodule update init recursive then open a new zephyr virtual environment terminal configuration of the application the example application should first be configured to set at least mender server tenant token to set the tenant token of your account on https hosted mender io server you may want to customize few interesting settings mender server host if using your own mender server instance tenant token is not required in this case mender client authentication poll interval is the interval to retry authentication on the mender server mender client update poll interval is the interval to check for new deployments mender client inventory refresh interval is the interval to publish inventory data mender client configure refresh interval is the interval to refresh device configuration other settings are available in the kconfig in sections mender general options mender addons options mender network options mender scheduler options mender storage options and example configuration you can also refer to the mender mcu client api and configuration keys particularly it is possible to activate the device troubleshoot add on that will permit to display the zephyr console of the device directly on the mender interface as shown on the following screenshot troubleshoot console https raw githubusercontent com joelguittet mender stm32l4a6 zephyr example master github docs troubleshoot png in order to get the device troubleshoot add on working the following configuration keys must be defined in the prj conf file config heap mem pool size 1500 config shell backend serial n config shell autostart n config shell stack size 3072 important note due to w5500 support limitation in zephyr a single socket can be opened at a time impact is that when the device troubleshoot connection is established other connection will fail including the connections made by the applications this is why until a solution is found the device troubleshoot add on is not activated by default in this example building and flashing the application the application relies on mcuboot and requires to build a signed binary file to be flashed on the evaluation board use the following commands to build and flash mcuboot please adapt the paths to your own installation west build s home zephyrproject bootloader mcuboot boot zephyr d build mcuboot b nucleo l4a6zg ddtc overlay file path to mender stm32l4a6 zephyr example nucleo l4a6zg mcuboot overlay dconfig boot swap using move y dconfig boot max img sectors 256 west flash d build mcuboot use the following command to build sign and flash the application please adapt the paths to your own installation west build b nucleo l4a6zg path to mender stm32l4a6 zephyr example home zephyrproject bootloader mcuboot scripts imgtool py sign key home zephyrproject bootloader mcuboot root rsa 2048 pem header size 0x200 s 0x7e000 align 8 version head n1 path to mender stm32l4a6 zephyr example version txt build zephyr zephyr hex build zephyr zephyr signed hex west flash hex file build zephyr zephyr signed hex execution of the application after flashing the application on the nucleo l4a6zg evaluation board and displaying logs you should be able to see the following 00 00 00 012 000 inf eth w5500 w5500 initialized booting zephyr os build zephyr v3 4 0 00 00 00 017 000 inf mender stm32l4a6 zephyr example mac address of the device 00 08 dc 01 02 03 00 00 00 027 000 inf mender stm32l4a6 zephyr example running project mender stm32l4a6 zephyr example version 0 1 00 00 00 045 000 inf fs nvs 4 sectors of 2048 bytes 00 00 00 053 000 inf fs nvs alloc wra 0 7e8 00 00 00 061 000 inf fs nvs data wra 0 0 00 00 00 068 000 inf mender stm32l4a6 zephyr example mender client initialized 00 00 00 078 000 inf mender stm32l4a6 zephyr example mender configure initialized 00 00 00 089 000 inf mender stm32l4a6 zephyr example mender inventory initialized 00 00 00 110 000 inf mender cmake source dir mender mcu client platform board zephyr src mender storage c 111 authentication keys are not available 00 00 00 126 000 inf mender cmake source dir mender mcu client core src mender client c 322 generating authentication keys 00 00 05 051 000 inf mender stm32l4a6 zephyr example your address 192 168 1 216 00 00 05 061 000 inf mender stm32l4a6 zephyr example lease time 43200 seconds 00 00 05 071 000 inf mender stm32l4a6 zephyr example subnet 255 255 255 0 00 00 05 081 000 inf mender stm32l4a6 zephyr example router 192 168 1 1 00 03 50 215 000 inf mender cmake source dir mender mcu client platform board zephyr src mender storage c 187 ota id not available 00 03 59 183 000 err mender cmake source dir mender mcu client core src mender api c 735 401 unauthorized dev auth unauthorized 00 03 59 198 000 inf mender stm32l4a6 zephyr example mender client authentication failed 1 3 which means you now have generated authentication keys on the device generating is a bit long but authentication keys are stored in storage partition of the mcu so it s done only the first time the device is flashed you now have to accept your device on the mender interface once it is accepted on the mender interface the following will be displayed 00 04 59 233 000 inf mender stm32l4a6 zephyr example mender client authenticated 00 05 03 588 000 inf mender cmake source dir mender mcu client core src mender client c 443 checking for deployment 00 05 04 997 000 inf mender cmake source dir mender mcu client core src mender client c 451 no deployment available congratulation your device is connected to the mender server device type is mender stm32l4a6 zephyr example and the current software version is displayed create a new deployment first retrieve mender artifact https docs mender io downloads mender artifact tool change version txt file to 0 2 rebuild and sign the firmware using the following commands we previously used hex file because it is required to flash the device but we now use bin file that is required for the mender mcu client west build b nucleo l4a6zg path to mender stm32l4a6 zephyr example home zephyrproject bootloader mcuboot scripts imgtool py sign key home zephyrproject bootloader mcuboot root rsa 2048 pem header size 0x200 s 0x7e000 align 8 version head n1 path to mender stm32l4a6 zephyr example version txt build zephyr zephyr bin build zephyr zephyr signed bin then create a new artifact using the following command line path to mender artifact write rootfs image compression none device type mender stm32l4a6 zephyr example artifact name mender stm32l4a6 zephyr example v head n1 path to mender stm32l4a6 zephyr example version txt output path build zephyr mender stm32l4a6 zephyr example v head n1 path to mender stm32l4a6 zephyr example version txt mender file build zephyr zephyr signed bin upload the artifact mender stm32l4a6 zephyr example v0 2 mender to the mender server and create a new deployment the device checks for the new deployment downloads the artifact and installs it on the slot1 partition then it reboots to apply the update 00 07 02 170 000 inf mender cmake source dir mender mcu client core src mender client c 443 checking for deployment 00 07 03 608 000 inf mender cmake source dir mender mcu client core src mender client c 463 downloading deployment artifact with id 121eb07a 1188 4316 a58d b798ee60988 00 07 05 062 000 inf mender stm32l4a6 zephyr example deployment status is downloading 00 07 07 798 000 inf mender cmake source dir mender mcu client core src mender artifact c 380 artifact has valid version 00 07 07 817 000 inf mender cmake source dir mender mcu client platform board zephyr src mender ota c 42 start flashing ota artifact zephyr signed bin with size 293224 00 07 33 707 000 inf mender cmake source dir mender mcu client core src mender client c 473 download done installing artifact 00 07 35 124 000 inf mender stm32l4a6 zephyr example deployment status is installing 00 09 15 191 000 inf mender stm32l4a6 zephyr example deployment status is rebooting 00 09 16 652 000 inf mender stm32l4a6 zephyr example device configuration received from the server 00 09 18 039 000 inf mender stm32l4a6 zephyr example restarting system 00 00 00 012 000 inf eth w5500 w5500 initialized booting zephyr os build zephyr v3 4 0 00 00 00 017 000 inf mender stm32l4a6 zephyr example mac address of the device 00 08 dc 01 02 03 00 00 00 027 000 inf mender stm32l4a6 zephyr example running project mender stm32l4a6 zephyr example version 0 2 00 00 00 045 000 inf fs nvs 4 sectors of 2048 bytes 00 00 00 052 000 inf fs nvs alloc wra 1 7d0 00 00 00 060 000 inf fs nvs data wra 1 1f8 00 00 00 067 000 inf mender stm32l4a6 zephyr example mender client initialized 00 00 00 077 000 inf mender stm32l4a6 zephyr example mender configure initialized 00 00 00 088 000 inf mender stm32l4a6 zephyr example mender inventory initialized 00 00 08 051 000 inf mender stm32l4a6 zephyr example your address 192 168 1 216 00 00 08 061 000 inf mender stm32l4a6 zephyr example lease time 43200 seconds 00 00 08 071 000 inf mender stm32l4a6 zephyr example subnet 255 255 255 0 00 00 08 081 000 inf mender stm32l4a6 zephyr example router 192 168 1 1 00 00 19 024 000 inf mender stm32l4a6 zephyr example mender client authenticated 00 00 19 035 000 inf mender cmake source dir mender mcu client platform board zephyr src mender ota c 146 application has been mark valid and rollback canceled 00 00 20 449 000 inf mender stm32l4a6 zephyr example deployment status is success 00 00 24 798 000 inf mender cmake source dir mender mcu client core src mender client c 443 checking for deployment 00 00 26 258 000 inf mender cmake source dir mender mcu client core src mender client c 451 no deployment available congratulation you have updated the device mender server displays the success of the deployment failure or wanted rollback in case of failure to connect and authenticate to the server the current example application performs a rollback to the previous release you can customize the behavior of the example application to add your own checks and perform the rollback in case the tests fail using an other zephyr evaluation board the zephyr integration into the mender mcu client is generic and it is not limited to stm32 mcus several points discussed below should be taken into consideration to use an other hardware including evaluation boards with other mcu families flash sectors size the flash sector size is an important criteria to select an evaluation board the stm32l4a6zg mcu has 2kb sectors which is very convenient to define a custom layout other mcus have variable sectors size and it can be very difficult to choose the partitions what remains important is that partitions are aligned on sectors moreover slot0 partition and slot1 partition must have the same size signing the image signing the image requires to provide the size of the of slot0 partition and slot1 partition in the current example the size is 0x7e000 you should adapt this if you have a different flash layout configuration of the storage partition the storage partition should be at least 4kb and must contains at least 3 sectors in the current example the size of the storage partition is 8kb and the configuration is set with config mender storage sector count 4 4 sectors of 2kb you should adapt this if you have a different flash layout using an other network interface the example is currently using a w5500 module connected to the nucleo l4a6zg evaluation board according to the device tree overlay it is possible to use an other module depending of your own hardware the mender mcu client expect to have a tcp ip interface but it is not constraint by the physical hardware using an other mender instance the communication with the server is done using https to get it working the root ca that is providing the server certificate should be integrated and registered in the application see tls credential add in the src main c file format of the expected root ca certificate is der in this example we are using the https hosted mender io server while checking the details of the server certificate in your browser you will see that is is provided by amazon root ca 1 thus the amazon root ca 1 certificate amazonrootca1 cer retrieved at https www amazontrust com repository is integrated in the application | mcu mender ota stm32 zephyr | os |
awesome-os | awesome operating systems a curated list of awesome resources on operating system design and implementation conferences some of the conferences where to find publications on operating systems research acm architectural support for programming languages and operating systems https dl acm org conference asplos asplos acm symposium on operating systems principles https dl acm org conference sosp sosp usenix annual technical conference atc usenix symposium on operating systems design and implementation osdi horkshop on hot topics in operating systems hotos papers the unix time sharing system https dsf berkeley edu cs262 unix pdf 1974 by dennis m ritchie and ken thompson the seminal paper on the unix operating system by its creators exokernel an operating system architecture for application level resource management https web eecs umich edu mosharaf readings exokernel pdf 1995 by dawson r engler et al the exokernel approach aims to eliminate operating system abstractions by having a small kernel that exports hardware resources with a low level interface to untrusted library operating systems the design and implementation of an operating system to support distributed multimedia applications https citeseerx ist psu edu viewdoc download doi 10 1 1 38 8833 rep rep1 type pdf 1996 by ian leslie et al ieee journal on selected areas in communications corey an operating system for many cores https www usenix org legacy events osdi08 tech full papers boyd wickizer boyd wickizer pdf 2008 by silas boyd wickizer et al osdi 08 the multikernel a new os architecture for scalable multicore systems https www sigops org s conferences sosp 2009 papers baumann sosp09 pdf 2009 by andrew baumann et al sosp 09 this paper describes the multikernel design approach to operating system kernels which aims to improve scalability and support heterogenenous and diverse hardware there s also an awesome retrospective https www sigops org 2021 fish in a barrel an insiders retrospective of the sosp09 multikernel paper sel4 formal verification of an os kernel https citeseerx ist psu edu viewdoc download doi 10 1 1 150 4815 rep rep1 type pdf 2009 by gerwin klein et al sosp 09 this paper describes sel4 the first formally proven general purpose operating system rethinking the library os from the top down https www microsoft com en us research wp content uploads 2016 02 asplos2011 drawbridge pdf 2011 by donald e porter et al asplos 11 dune safe user level access to privileged cpu features https www usenix org system files conference osdi12 osdi12 final 117 pdf 2012 by adam belay et al osdi 12 unikernels library operating systems for the cloud https anil recoil org papers 2013 asplos mirage pdf 2013 by anil madhavapeddy et al asplos 13 arrakis the operating system is the control plane https www usenix org conference osdi14 technical sessions presentation peter 2014 by simon peter et al osdi 14 ix a protected dataplane operating system for high throughput and low latency https www usenix org system files conference osdi14 osdi14 paper belay pdf 2014 by adam belay et al osdi 14 multiprogramming a 64 kb computer safely and efficiently https www tockos org assets papers tock sosp2017 pdf 2017 by amit levy et al sosp 17 this paper details an operating system design where the type safety of rust programming language provides memory protection on mmu less hardware legoos a disseminated distributed os for hardware resource disaggregation https www usenix org system files osdi18 shan pdf 2018 by yizhou shan et al osdi 18 redleaf isolation and communication in a safe operating system https www usenix org conference osdi20 presentation narayanan vikram 2020 by vikram narayanan et al osdi 20 twizzler a data centric os for non volatile memory https www usenix org system files atc20 bittman pdf 2020 by daniel bittman et al atc 20 the demikernel datapath os architecture for microsecond scale datacenter systems https irenezhang net papers demikernel sosp21 pdf 2021 by irene zhang et al sosp 21 operating systems barrelfish http www barrelfish org demikernel https github com demikernel demikernel kerla https github com nuta kerla tock https www tockos org twizzler https twizzler io egos 2000 https github com yhzhang0128 egos 2000 | operating-systems awesome-list | os |
FedNLP | fednlp has been migrated to https github com fedml ai fedml tree master python app fednlp | federated-learning natural-language-processing nlp machine-learning | ai |
awesome-zephyr-rtos | awesome zephyr rtos refer to awesome zephyr https github com fkromer awesome zephyr for a comprehensive list this list is focused on collecting examples of the use of zephyr it helps me understand the rtos better if i can look through various examples please send pull requests and help improve the list reference projects applications a small self balancing robot https github com skalldri project wobble contains custom drivers documentation foc motor control firmware https github com teslabs spinner also refer to the corresponding talk https www youtube com watch v 9xkqqpuzh9w t 1s pinetime smartwatch using nordic nrf52 and zephyr rtos https github com najnesnaj pinetime zephyr contains custom drivers documentation risc v electronic badge open source software zephyr rtos application https github com antmicro riscv badge application mg100 zephyr rtos based firmware https github com lairdcp mg100 firmware a set of utility and driver classes to support ic peripherals in zephyr rtos https github com theheraldproject zephyr devices contains example for board description example ble application using zephyr rtos https github com donbraulio zephyr ble example pwm controlled by bluetooth through the zephyr rtos using the nrf52dk board https github com johan garrido minimal bt pwm board template for building zephyr rtos for sifive freedom e series products https github com sifive zephyr sifive freedom template a zephyr rtos based lorawan node https github com fcgdam zlorawan node desay d6 smart watch zephyr rtos https github com najnesnaj dsd6 zephyr getting started with zephyr rtos https github com bdcabreran zephyr rtos nucleo l476rg pwm controller servo motors https github com octobotics motor control drivers blackberry trackpad zephyr rtos driver https github com protobits bbtrackpad zephyr hcsr04 https github com smeetsomaiya zephyr sensor driver plus app tree master drivers sensor hcsr04 libraries internal apis essentials c standard library and errno https docs zephyrproject org latest reference libc index html kernel service https docs zephyrproject org latest reference kernel index html threads synchronization scheduling etc file system https docs zephyrproject org latest reference file system index html displays https docs zephyrproject org latest reference display index html peripherals https docs zephyrproject org latest reference peripherals index html gpio i2c pwm etc great to have formatted printing https docs zephyrproject org latest reference misc formatted output html printf like logging https docs zephyrproject org latest reference logging index html shell https docs zephyrproject org latest reference shell index html settings https docs zephyrproject org latest reference settings index html utilities https docs zephyrproject org latest reference util index html state machine framework https docs zephyrproject org latest guides smf index html allows for hierarchical state machines more useful apis some data structures https docs zephyrproject org latest reference data structures index html checksum json jwt https docs zephyrproject org latest reference misc index html timing for optimization and measurements https docs zephyrproject org latest reference timing functions index html task watchdog https docs zephyrproject org latest reference task wdt index html emulators for i2c spi and eeprom https docs zephyrproject org latest guides emulator index html available emulators external arduino package based on zephyrrtos or arduino api module for zephyr rtos https github com soburi arduino on zephyr calendar api for zephyr rtos https github com bpbradley zcalendar getting started tutorials zephyr tutorial for beginners https github com maksimdrachov zephyr rtos tutorial zephyr rtos examples https github com chunghanyi zephyr examples repository for custom zephyr rtos based boards https github com lairdcp zephyr boards templates platformio zephyr documentation https docs zephyrproject org latest guides platformio index html platformio documentation https docs platformio org en latest frameworks zephyr html utm source docs zephyrproject org examples blinking led on nxp imx rt https github com platformio platform nxpimxrt tree develop examples zephyr blink and arduino due https github com platformio platform atmelsam tree master examples zephyr blink using the logger subsystem https github com platformio platform atmelsam tree master examples zephyr subsys logger interfacing with an lcd without the use of the driver api model https github com platformio platform atmelsam tree master examples zephyr drivers lcd hd44780 multithreading and synchronization https github com platformio platform nxpimxrt tree develop examples zephyr synchronization using the can bus https github com platformio platform ststm32 tree develop examples zephyr drivers can writing thin c abstrastions https github com platformio platform ststm32 blob develop examples zephyr cpp synchronization src main cpp hid mouse over usb https github com platformio platform ststm32 tree develop examples zephyr subsys usb hid mouse tools header include map generator for zephyr rtos https github com smrtos zephyrincludemap | zephyr zephyr-rtos rtos embedded-systems embedded firmware iot microcontroller c | os |
Neural-Net-with-Financial-Time-Series-Data | div align center img src https github com benjikcf neural network with financial time series data blob master photos logo png br br div neural net with financial time series data is an open source software project using endogenous factors to predict daily log return of financial asset the project includes serveral technical indicators ie stochastics moving average convergence divergence oscillator to train a lstm neural network by stochastic gradient descent with warm restart sgdr and cosine annealing this flexible architecture enables you to deploy with nvidia cudnn computation without rewriting code by yourself hyperparameters are fine tuned by bayesian search latest result the current lstm model result for predicting daily log return alt text https github com benjikcf neural network with financial time series data blob master photos predicted vs true all last 20300 png old model result this old model uses lstm to predict stock price alt text https github com benjikcf neural network with financial time series data blob master photos 20170510result png lstm cell this is the lstm cell we used in the model alt text https github com benjikcf neural network with financial time series data blob master photos lstm png it is faster than normal lstm cell because of the implementation of cudnn lstm and batch normalization in the model update 26 03 2017 first update 1 recurrent neural network with lstm is added to the code 2 keras with tensorflow is also implemented 3 tensorboard for neural network visualization is also added to the code 14 04 2017 second update 1 normalized adjusted close price 2 a new data downloader has been implemented for simplicity 3 added more variable to predict the adjusted close price 4 more accurate result significantly less mean square error 5 extra visualization for close price 6 denormalization will be fixed soon 7 twitter sentiment analysis is currently on testing stage 16 04 2017 third update 1 updated denormalization 2 more test results available 18 04 2017 fourth update 1 updated fundamental data from kaggle for nyse 19 04 2017 fifth update 1 supporting python 3 5 on windows 10 2 significant improvement in accuracy 29 04 2017 sixth update 1 gspc data since 1970 has been added more training data higher accuracy 2 7 years of test data 3 object oriented programming 4 hyperparameters for dropout has been tested 08 05 2017 seventh update 1 all hyperparameters have been tested and results have been uploaded 2 fixed comment for the data loader 3 more technical analysis like volume moving average and other indexes will be added 28 05 2017 eighth update 1 using quandl instead of pandas datareader 2 correlation heatmap has been addded 3 using adjusted ohlcv for the network 4 all functions can be loaded from lstmstock py 5 a quandl api key is provided temporarily for those who do not own a quandl account 6 moving averages have been added 02 10 2017 nineth update alt text https github com benjikcf neural network with financial time series data blob master photos dataframe png 1 event driven analysis 2 switched to tensorflow lstm model 25 06 2018 tenth update 1 complete rewrite of news downloader removed newsapi in order to get full access to nytimes data for free 2 moving average convergence divergence oscillator macd stochastic oscillator average true range are added to train the model 3 log return is now used as target variable 4 keras on top of tensorflow is used 5 randomized search from sklearn is used for optimization 11 10 2018 eleventh update serveral state of the art techniques are applied 1 cudnn lstm is used to accelerate training 2 stochastic gradient descent with warm restart 3 cosine annealing 4 use bayesian search to optmize hyperparameters 5 new splitting method 6 dataset is provided 7 hdf files are used to accelerate reading time how to use quandl if you want to train your neural network on more data feel free to load the data directly from quandl you should be able to get the historic price data of a particular stock after login use export python api key and insert the api key to your model https www quandl com databases wikip alt text https github com benjikcf neural network with financial time series data blob master photos quandl png references bernal a fok s pidaparthi r 2012 financial market time series prediction with recurrent neural networks box g e jenkins g m reinsel g c ljung g m 2015 time series analysis forecasting and control john wiley sons gu j wang z kuen j ma l shahroudy a shuai b cai j 2015 recent advances in convolutional neural networks arxiv preprint arxiv 1512 07108 hutto c j gilbert e e 2014 vader a parsimonious rule based model for sentiment analysis of social media text eighth international conference on weblogs and social media icwsm 14 ann arbor mi june 2014 jaeger h 2001 the echo state approach to analysing and training recurrent neural networks with an erratum note bonn germany german national research center for information technology gmd technical report 148 34 13 jaeger h 2002 tutorial on training recurrent neural networks covering bppt rtrl ekf and the echo state network approach vol 5 gmd forschungszentrum informationstechnik maass w natschl ger t markram h 2002 real time computing without stable states a new framework for neural computation based on perturbations neural computation 14 11 2531 2560 | ai |
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ruazosi-ios-hw | ruazosi ios hw solutions of homework tasks from an additional course service and application development for operating system ios on faculty of electrical engineering and computing university of zagreb h2 1 homework tictactoe h2 the purpose of the homework is to get acquainted with the basics of swift programming language through the creation of popular game tic tac toe the game should have one screen with a 9 button fields when the game is completed it needs to be restarted during the game it could be restarted too h2 2 homework movies h2 an application that contains movie information needs to be created the user should be able to search movies by title change certain movie attributes and overview the image in new screen each film contains title year publishing the genre the name and surname of the director the short content and the image for this task the content of several movies needs to be hard coded in the app | os |
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adversarial-robustness-toolbox | adversarial robustness toolbox art v1 16 p align center img src docs images art lfai png raw true width 467 title art logo p br codeql https github com trusted ai adversarial robustness toolbox workflows codeql badge svg documentation status https readthedocs org projects adversarial robustness toolbox badge version latest http adversarial robustness toolbox readthedocs io en latest badge latest pypi https badge fury io py adversarial robustness toolbox svg https badge fury io py adversarial robustness toolbox codecov https codecov io gh trusted ai adversarial robustness toolbox branch main graph badge svg https codecov io gh trusted ai adversarial robustness toolbox code style black https img shields io badge code 20style black 000000 svg https github com psf black license mit https img shields io badge license mit yellow svg https opensource org licenses mit pypi python version https img shields io pypi pyversions adversarial robustness toolbox https pypi org project adversarial robustness toolbox slack img https img shields io badge chat on 20slack yellow svg https ibm art slack com downloads https static pepy tech badge adversarial robustness toolbox https pepy tech project adversarial robustness toolbox downloads https static pepy tech badge adversarial robustness toolbox month https pepy tech project adversarial robustness toolbox cii best practices https bestpractices coreinfrastructure org projects 5090 badge https bestpractices coreinfrastructure org projects 5090 readme readme cn md p align center img src https raw githubusercontent com lfai artwork master lfaidata assets lfaidata project badge graduate color lfaidata project badge graduate color png alt lf ai data width 300 p adversarial robustness toolbox art is a python library for machine learning security art is hosted by the linux foundation ai data foundation https lfaidata foundation lf ai data art provides tools that enable developers and researchers to defend and evaluate machine learning models and applications against the adversarial threats of evasion poisoning extraction and inference art supports all popular machine learning frameworks tensorflow keras pytorch mxnet scikit learn xgboost lightgbm catboost gpy etc all data types images tables audio video etc and machine learning tasks classification object detection speech recognition generation certification etc adversarial threats p align center img src docs images adversarial threats attacker png raw true width 400 title art logo img src docs images adversarial threats art png raw true width 400 title art logo p br art for red and blue teams selection p align center img src docs images white hat blue red png raw true width 800 title art red and blue teams p br learn more get started get started documentation documentation contributing contributing installation installation br examples examples readme md br notebooks notebooks readme md attacks attacks br defences defences br estimators estimators br metrics metrics br technical documentation https adversarial robustness toolbox readthedocs io slack https ibm art slack com invitation https join slack com t ibm art shared invite enqtmzkyotkyode4nzm4lta4ngq1otmxmzfmy2q1mze1nwi2mmezn2fjngnjogvlodvkzde0mja1nta4ogvkmjvknmq4mty1nmmyogm5ytg br contributing contributing md br roadmap roadmap br citing citing get started https github com trusted ai adversarial robustness toolbox wiki get started attacks https github com trusted ai adversarial robustness toolbox wiki art attacks defences https github com trusted ai adversarial robustness toolbox wiki art defences estimators https github com trusted ai adversarial robustness toolbox wiki art estimators metrics https github com trusted ai adversarial robustness toolbox wiki art metrics contributing https github com trusted ai adversarial robustness toolbox wiki contributing documentation https github com trusted ai adversarial robustness toolbox wiki documentation installation https github com trusted ai adversarial robustness toolbox wiki get started setup roadmap https github com trusted ai adversarial robustness toolbox wiki roadmap citing https github com trusted ai adversarial robustness toolbox wiki contributing citing art the library is under continuous development feedback bug reports and contributions are very welcome acknowledgment this material is partially based upon work supported by the defense advanced research projects agency darpa under contract no hr001120c0013 any opinions findings and conclusions or recommendations expressed in this material are those of the author s and do not necessarily reflect the views of the defense advanced research projects agency darpa | python attack adversarial-machine-learning poisoning trusted-ai artificial-intelligence extraction adversarial-attacks adversarial-examples evasion inference privacy ai trustworthy-ai red-team blue-team machine-learning | ai |
frontend-challenge-junior | frontend challenge j nior pontos importantes antes de iniciar sinalizar por e mail para a pessoa que est fazendo o seu recrutamento a data de nicio e a expectativa de entrega o prazo m dio de entrega do teste de 7 dias mas caso voc tenha algum imprevisto sinalize o novo prazo e o motivo pra gente mais importante voc desenvolver algumas das skills solicitadas ou passar um tempo mais demonstrando suas habilidades do que entregar algo incompleto ou que n o atenda todos os requisitos do teste teste para a vaga de frontend j nior codificar layout seguindo o wireframe https drive google com file d 10xpr 7qaexnbt4v2dokqans4 tocgejs view voc pode gerar uma paleta de cores que te agrade nesse site https coolors co clique em start the generator fontes playfair display https fonts google com specimen playfair display e pt sans https fonts google com specimen pt sans o wireframe representa o layout macro do site voc tem liberdade para escolher os espa amentos tamanho de fontes uso das cores efeitos e outros detalhes para as imagens pode ser usado geradores de imagens por dimens o como o picsum https picsum photos e o placeholder https placeholder com ou se preferir voc pode adicionar imagens de sua escolha no fullbanner com slider usar o swiper http idangero us swiper mas utilizar o swiper de forma inteligente em outras se es contam pontos deve ser feito o responsivo mantendo as mesmas sess es do desktop voc tem liberdade para decidir os pontos de quebra e o estilo das sess es no mobile mas importante que o site se adapte e fique leg vel voc tem total liberdade para criar efeitos nas sess es do site explore o artista dentro de voc o envio deve ser feito atrav s dos arquivos zipados ou no github pode ser feito pull request para esse reposit rio deve ser utilizado sass e gulp para o pr processamento do c digo entregar uma pasta com os arquivos de desenvolvimento e outra pasta com os arquivos minificados e comprimidos src dist na pasta src ficam os arquivos de desenvolvimento na pasta dist ficam os arquivos finais comprimidos e minificados n o deve ser usado nenhum framework de css bootstrap entre outros nem de js react vue angular entre outros para que possamos avaliar melhor a sua qualidade t cnica dicas navegue pelo site da https www vnda com br e visite tamb m o site de nossos clientes capriche demonstre suas habilidades css brinque com os efeitos utilize em todas as se es e seja detalhista queremos saber seu repert rio utilizar um padr o de c digo como o rscss conta muitos pontos tente dar sua cara pro projeto imagine uma marca fict cia ou n o d uma identidade visual pra ela tente utilizar o js al m do swiper e menu mobile veja algumas se es em que voc possa inserir algumas fun es n o precisa ser nada complexo plugins js s o bem vindos contanto que sejam utilizados de forma inteligente ainda n o tem dominada algumas das skills foque primeiro no que voc sabe v o mais longe poss vel e utilize o tempo restante pra aprender o que n o sabe afinal essas habilidades ser o utilizadas na sua rotina de trabalho passe seu caf e acredite no seu potencial | front_end |
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hibernatetools-gradle-plugin | hibernatetools gradle plugins purpose this plugin intend to ease hibernatetools through gradle it offer three tasks hibernate config to generate hibernate config files hbm2java to generate java classes hbm2dao to generate dao classes usage inside your build gradle file add this build script snippet for gradle 2 1 and after groovy plugins id org hibernate gradle tools version 1 2 4 for older gradle release groovy buildscript repositories maven url https plugins gradle org m2 dependencies classpath gradle plugin org hibernate gradle tools hibernatetools gradle plugin 1 2 4 apply plugin org hibernate gradle tools fallback to hibernate tools 5 2 this project has been updated to use hibernate tools 5 3 4 final but 5 2 x is still supported to override the hibernate tools version add reveng org hibernate hibernate tools 5 2 11 final force true to your build gradle s main dependencies section not the buildscript dependencies section configure the database now you have only to configure the database by using database section inside build gradle file example if using domain groovy database basepackage com project database model url jdbc mysql mydb domain fr if using host groovy database basepackage com project database model url jdbc mysql host dbname mydb this plugin allow to specify multiple catalog using groovy import org hibernate gradle tools database catalog catalog1 new schema schemay catalog2 new schema schemax basepackage org foo bar this plugin allow to specify multiple schema using groovy database catalog catalog1 new schema schemax tabley catalog2 new schema schemay basepackage org foo bar this plugin allow to specify multiple tables using groovy database catalog catalog1 new schema schemax tabley tablez catalog2 new schema schemay basepackage org foo bar the symbol means any characters repeated 0 on n times in given example class will be mapped from foo and bar tables and also any table where name start with other the config files hibernate tools needs are generated by the hibernate config task alternatively you can provide them by setting these properties groovy database configxml tmp hibernate cfg xml path to config file for hibernate tools 5 2 x hibernatepropertiesfile tmp hibernate properties path to config properties file for hibernate tools 5 3 x revengxml tmp hibernate reveng xml path to reveng file by default database section are defined as groovy class database def catalog new schema schema parameter are schema pattern name table pattern name string user string password string url jdbc mysql 127 0 0 1 integer port 3306 string dbname string driver com mysql jdbc driver string dialect org hibernate dialect mysqldialect string basepackage com project database model dialect and driver to use are located on hibernate http www tutorialspoint com hibernate hibernate configuration htm reverse engineering once the plugin is declared and database connection defined to get java classes you need only to run this command bash gradle hbm2dao this plugin provides three gradle target hbm2java hbm2dao hibernate config enjoy | server |
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gulp-starter-kit | gulp starter kit npm https img shields io npm v jr cologne create gulp starter kit svg https www npmjs com package jr cologne create gulp starter kit a simple gulp 4 starter kit for modern web development features use cases this gulp starter kit provides a simple way of setting up a modern web development environment here is a list of the current features copy html files from src to dist directory compile pug template files pug from src to html files and put them inside dist directory compile css preprocessor code sass scss less stylus to css autoprefix and minify css and put it inside dist directory compile es6 to es5 concatenate js files and minify code compress and copy images into dist directory copy dependencies specified in package json from src node modules directory into node modules folder inside dist directory import dependencies into your application with es6 modules spin up local dev server at http localhost 3000 including auto reloading requirements this should be installed on your computer in order to get up and running node js https nodejs org en required node version is 10 0 gulp 4 https gulpjs com dependencies these npm https www npmjs com packages are used in the gulp starter kit babel core https www npmjs com package babel core babel preset env https www npmjs com package babel preset env browser sync https www npmjs com package browser sync del https www npmjs com package del gulp https www npmjs com package gulp gulp autoprefixer https www npmjs com package gulp autoprefixer gulp babel https www npmjs com package gulp babel gulp concat https www npmjs com package gulp concat gulp dependents https www npmjs com package gulp dependents gulp clean css https www npmjs com package gulp clean css gulp plumber https www npmjs com package gulp plumber gulp sass https www npmjs com package gulp sass gulp sourcemaps https www npmjs com package gulp sourcemaps gulp uglify https www npmjs com package gulp uglify gulp imagemin https www npmjs com package gulp imagemin webpack stream https www npmjs com package webpack stream gulp pug https www npmjs com package gulp pug gulp less https www npmjs com package gulp less gulp stylus https www npmjs com package gulp stylus for more information take a look at the package json package json file or visit the linked npm package sites getting started in order to get started make sure you are meeting all requirements listed above then just go ahead and download the gulp starter kit for this you can choose between the following options npm init the recommended way of downloading the gulp starter kit uses the command npm init and the create gulp starter kit npm package https www npmjs com package jr cologne create gulp starter kit as the initializer for this just follow these steps 1 execute npm init jr cologne gulp starter kit your project name this creates a folder called your project name change that to your project name at the current location where your terminal command prompt is pointing to moreover this initializes your project and installs all dependencies 2 change your working directory to your project folder by executing cd your project name 3 spin up your web development environment with the command npm start 4 start coding in case you are lazy just use this command bash npm init jr cologne gulp starter kit your project name cd your project name npm start git clone the other way of downloading the gulp starter kit is by cloning this git repository before executing any commands make sure you have git https git scm com installed on your computer then follow these instructions 1 execute git clone https github com jr cologne gulp starter kit git your project name this creates a folder called your project name change that to your project name at the current location where your terminal command prompt is pointing to 2 change your working directory to your project folder by executing cd your project name 3 install all dependencies by executing npm install 4 spin up your web development environment with the command npm start 5 start coding if you are lazy just do everything at once bash git clone https github com jr cologne gulp starter kit git your project name cd your project name npm install npm start usage faq how to install the gulp starter kit into the current working directory you can install the gulp starter kit into the current working directory by appending current dir to the end of the npm init command example bash npm init jr cologne gulp starter kit your project name current dir what kinds of build scripts does the gulp starter kit offer the gulp starter kit offers two different build scripts 1 npm run build this is used to build all files and run all tasks without serving a development server and watching for changes 2 npm start this is the normal development script used to build all files and run all tasks but also to serve a development server and watch for changes how can i use another css preprocessor than sass in case you prefer to use one of the other supported css preprocessors over sass you can simply create a new directory src assets css processor name which is where all your css preprocessor files have to be placed after you have moved all your code to the new folder just make sure to delete the sass directory and everything should work as expected here s a list of the currently supported css preprocessors and the corresponding directory names sass src assets sass scss src assets scss less src assets less stylus src assets stylus how can i specify for which browsers css code should be autoprefixed the recommended way of specifying which browsers should be targeted by the css autoprefixer is to add a browserslist key to package json json browserslist last 3 versions 0 5 you can find more information on that topic https github com postcss autoprefixer browsers in the readme file of the employed postcss plugin https github com postcss autoprefixer what types of images are supported the following types of images are currently supported png jpg jpeg gif svg ico not compressed how can i specify dependencies which are then copied to the dist folder you don t need to specify your dependencies anywhere else than in your package json file just install your dependencies via npm and all your dependencies get automatically loaded and copied into the dist folder how can i load dependencies inside my application es6 modules are supported by this gulp starter kit just install your dependencies and import them like so js import axios from axios contributing feel free to contribute to this project any kinds of contributions are highly appreciated please make sure to follow the process below in order to contribute to this project 1 open an issue to describe what you are about to do you should make sure to get feedback as early as possile to ensure your work does not end up as waisted time 2 fork this repository by clicking the fork button at the top of this page 3 clone your newly created fork git clone https github com your github username gulp starter kit git 4 make your changes and commit them to your forked repository 6 once finished open a detailed pull request describing your changes 7 wait for your pr to be accepted and merged versioning this project uses the rules of semantic versioning for more information visit semver org https semver org license this project is licensed under the mit license https github com jr cologne gulp starter kit blob master license | gulp gulp-starter-kit sass babel browser-sync autoprefixer modern-web-dev imagemin sourcemaps webpack-stream es6-modules scss pug less stylus | front_end |
SoftDevReset | softdevreset app for controlling common softdevchat backend commands while the app is still in development img src https i ibb co xfljk99 capture png alt screenshot | server |
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llm-prompt-engineering | llm prompt engineering large language models llms such as gpt 3 have revolutionized the field of natural language processing and have opened up new opportunities for building intelligent applications such as an e commerce app with which users can interact to find learn inquire about the products and services offered the llm that can handle orders and payments then output the order summary in formats that can be stored in databases an intelligent news app that delivers news to users in a style tailored to user s personality and liking user can interact with the app and ask questions regarding the news topics to learn more however using llms in production applications can be challenging especially when it comes to writing prompts that elicit the desired response the prompts have to be very effective so that we can deploy them to production one of the biggest challenges of using llms in production applications is the potential for incorrect or misleading information while playing with chatbots like chatgpt https www python org or microsoft bing https bing com chat can be fun we cannot afford to have misinformation in our production applications this repository provides tips for writing effective prompts addressing the above issues usage you can check and read the techniques with prompt examples and try out the prompts in free chatgpt https chat openai com or you can run them in your local computer with your own api key how to run in local computer examples are written in jupyter notebooks you can run them with python3 jupyter notebooks if you are running on mac or linux or any unix terminal then just run the start sh file to run the program if you are a windows user use the following commands to run the program pre requisites python 3 https www python org pip3 openai api key sh step 1 install the dependencies pip3 install r requirements txt upgrade use pep517 step 2 add you openai api key in env file create a file called env in project root add the following without the initial symbol openai api key your secret api key step 3 run the program jupyter notebook src | ai |
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NodeJS-Web-Development | nodejs web development code files for nodejs web development third edition https www packtpub com web development nodejs web development third edition utm source github utm medium repo utm campaign 9781785881503 by packt publishing https www packtpub com this book is written for any software engineer who wants the adventure that comes with a new software platform embodying a new programming paradigm server side engineers may find the concepts behind node js refreshing giving you a different perspective on web application development javascript is a powerful language and node js s asynchronous nature plays to its strengths developers experienced with javascript in the browser may find it fun to bring that knowledge to new territory we assume that you already know how to write software and have an understanding of modern programming languages such as javascript for more information you can refer to the following books node web development https www packtpub com web development node web development utm source github utm medium repo utm campaign 9781849515146 node web development second edition https www packtpub com web development node web development second edition utm source github utm medium repo utm campaign 9781782163305 mastering node js https www packtpub com web development mastering nodejs utm source github utm medium repo utm campaign 9781782166320 | front_end |
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dril-instruct | dril instruct can large language models create good shitposts read more here https l4 pm wiki personal 20wiki ai 20stuff dril instruct html lora file here https huggingface co lun 4 dril instruct the idea take dril tweets ask vicuna 13b to generate a prompt that would spit out a dril tweet do this for all dril tweets you now have a dataset of instruction2dril finetune a vicuna model on top of that data and you can now have a shitpost generator drilinstruct files drilinstruct png how project state look at the blogpost it s finished create a seed prompt take some dril tweets and create their respective instructions manually a tsv file is left in files to create the main seed prompt from the seed prompt extrapolate instructions to all dril tweets using an existing instruction model we now have a dataset of instruction to dril tweet finetune on that and you get a shitposter that s the idea note this project was made with vicuna 13b cocktail https huggingface co reeducator vicuna 13b cocktail in mind including its system prompt using a different model means that changes must be done in prepare self instruct py to account for the system prompt of the model prepare extrapolate instructions to account for model parameters temperature top k etc git clone cd python3 prepare self instruct py files dril instruct many shot samples data tsv tmp prompt txt dril data snscrape vv progress jsonl twitter user dril tmp dril jsonl you need text generation webui with an instruct model loaded in it python3 prepare extrapolate instructions py tmp prompt txt tmp dril jsonl http 127 0 0 1 5000 tmp instructiosn jsonl tmp instructions jsonl now has a bunch of data that you can finetune with in this example we ll export to the fastchat format to finetune a vicuna model python3 prepare convert to fastchat py tmp instructions jsonl tmp fastchat json cd i used this project to make it work but more powerful machines probably can just use fastchat git clone https github com git cloner llama lora fine tuning cd then follow their instructions to get a lora file in its output my finetune of vicuna 13b cocktail was done in int8 mode deepspeed zero and an a100 80gb vram total spent was less than 10usd on runpod | artificial-intelligence large-language-models shitposting | ai |
chalk | chalk note this project is currently dormant with no current prospect for further development suggestion check out opennlp or stanfordnlp for the jvm or spacy for python if anyone would like to do something like spacy for scala that would be fantastic introduction chalk is a library for natural language processing nlp what s inside the latest stable version is 1 3 2 changes from the previous release include initial implementation of functional pipelines for nlp applications and actor based pipelines based on those components see the changelog https github com scalanlp chalk wiki changelog for changes in previous versions using chalk in sbt librarydependencies org scalanlp chalk 1 3 0 in maven dependency groupid org scalanlp groupid artifactid chalk artifactid version 1 3 0 version dependency requirements version 1 6 of the java 2 sdk http java sun com configuring your environment variables set java home to match the top level directory containing the java installation you want to use if you want to be able to use the chalk command line executable set chalk dir to where you put chalk and then add the directory chalk dir bin to your path building the system from source chalk uses sbt simple build tool with a standard directory structure to build chalk type in the chalk dir directory build update compile this will compile the source files and put them in target classes if this is your first time running it you will see messages about scala being downloaded this is fine and expected once that is over the chalk code will be compiled to try out other build targets do build to make sure all the tests pass do build test documentation for sbt is at http www scala sbt org questions or suggestions email jason baldridge jasonbaldridge gmail com or create an issue https github com scalanlp chalk issues | ai |
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MBD-Matlab | mbd matlab iti intake 43 embedded system track model based design course tasks | os |
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LWIP-FreeRTOS-Netconn-FTP-Server | lwip freertos netconn ftp server ftp server for lwip netconn api to be used in combination with freertos currently a work in progress started working from https github com gallegojm stm32 e407 ftpserver this code was written in cpp for every connection a thread is made and this thread is blocked by a semaphore each thread had it s own ftp class in the cpp code i am rewriting this class to a structure this structure contains all variables for that thread currently it is not a nice piece of code and a work in progress | os |
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system-design-react-code-examples | system design react code examples a curation of code examples and in depth technical implementation approaches to solve the common frontend system design issues in react target audience 1 advanced beginner intermediate developers wishing to get better technical understanding 2 developers exploring how to do handle technical things in their own projects 3 for my own reference as i need something like this for my own learning philosophy the philosophy behind this endeavour is to document as much as possible a practical guide for someone looking to level up fast implement things talk is cheap show me the code linus torvalds engineering design engineering design high level design high level design low level design low level design architecture deep dive rebuilding our tech stack for the new facebook com https engineering fb com 2020 05 08 web facebook redesign front end performance optimization with accelerated compositing part 1 https www alibabacloud com blog front end performance optimization with accelerated compositing part 1 594194 front end performance optimization with accelerated compositing part 2 https www alibabacloud com blog front end performance optimization with accelerated compositing part 2 594195 ssr based optimization of double 11 virtual venue a more complex rendering architecture https www alibabacloud com blog ssr based optimization of double 11 virtual venue a more complex rendering architecture 596970 spm a2c65 11461447 0 0 5c88790bsasvar react philosophies https github com mithi react philosophies idiomatic js https github com rwaldron idiomatic js client side architecture basics https khalilstemmler com articles client side architecture introduction css triggers https csstriggers com what forces layout reflow https gist github com paulirish 5d52fb081b3570c81e3a the web browser internals https www madhusagar org the web browser internals a mostly complete guide to react rendering behavior https blog isquaredsoftware com 2020 05 blogged answers a mostly complete guide to react rendering behavior engineering design team size user base knowledge base compliance governance user client expectations open source vs proprietary documentation prd future roadmaps high level design platform identification spa vs mpa ssr ssg csr tech stack https 10up github io engineering best practices react search engine optimization ci cd user experience a b testing https philipwalton com articles performant a b testing with cloudflare workers mvp planning server side architecture security state management internationalization example https pgjones dev tozo frontend i18n e2e testing tools integration authentication authorization quality assurance control user role management example https github com atulmy crate tree master code web src modules auth low level design code folder architecture example 2 in this blogpost https javascript plainenglish io 7 steps to modernize and optimize your react app 466cbea51b8f desktop mobile first approach system breakdown atomic design https bradfrost com blog post atomic web design component design https overreacted io writing resilient components writing resilient components form development example using react hook form https react hook form com advanced usage smartformcomponent storage management using localforage https github com localforage localforage redux persist code https github com th3wall react crwn cothing ecom api design example pattern code https github com oldboyxx jira clone blob master client src shared utils api js another example code https github com alan2207 bulletproof react blob master docs api layer md instrumentation design system https github com jbranchaud awesome react design systems routing management example pattern code https github com alan2207 bulletproof react tree master src routes css optimizations https developer mozilla org en us docs learn performance css code splitting https lihautan com css code splitting lazy loading of modules https web dev fast lazy load images and video accessibility https www w3 org wai tips developing image optimizations https web dev fast optimize your images pagination https dev to potouridisio the only pagination you ll ever need 1 2 3 4 5 4il5 debouncing throttling https codeburst io throttling and debouncing in javascript b01cad5c8edf performance https developer mozilla org en us docs web performance fcp lcp tti cls versioning example https github com pirelenito git revision webpack plugin plugin api code https github com danielcaldas el conversor blob master app webpack config js unit testing authentication and authorization management example using sagas https github com th3wall fakeflix blob main src redux auth auth sagas js high level design details br product requirement document prd design document identify scope requirement review your understanding with stakeholders br discuss about design wireframe think like an architect we should not consider team bandwidth capacity and time discuss about edge cases robustness handle spof single point of failure ex monitoring logging br identify business is it b2b business to business is it b2c business to consumer is it internal product is it customer facing product br identify platform desktop mobile tablet br identify users know your audience conduct surveys discuss about location and devices internet speed end users knowledge base ex technical user pilot product sometimes to understand audience br identify design approach responsive vs adaptive design desktop first vs mobile first br identify apis rest apis graph apis rpc json protocol buffers br role based management large system needs roles based access and permissions authentication and authorization read write view permissions discuss about routes component access br identify right platform compare frameworks based on the use case single page applications unsuitable for blogs news based products no reloading of a page at navigation no seo multi page applications reloading of a page at every page navigation progressive web applications provides offline support and native like functionality examples of pwa https github com hemanth awesome pwa server side rendering ssr https survivejs com webpack output server side rendering better seo important points to discuss are users on mobile is seo needed is spa enough is pwa enough service worker web worker compare ssr ssg csr any pricing model optional subscriptions based paid apis will my app be frontend heavy or backend heavy do i have resources for this skill is your application canvas or svg heavy figma draw io example https github com rrag react stockcharts examples2 is your application webrtc heavy video streaming example https github com openvidu openvidu call react br identify user flow discuss vision of a product do we need to build from scratch or we can leverage some existing functionalities discuss about authentication and authorization google auth oauth interact with the product manager to understand the scope before designing the application discuss happy scenarios discuss edge cases discuss failing scenarios br identify mvp minimum viable product problem solution build mvp mvp to customers discuss mvp phase with product manager discuss roadmaps and divide product in milestones after mvp release there can be a slight change in design approach to make the product better br volume of operations discuss about the end users of the product observe the data in something like google analytics for split by device location os etc in production later identify qps queries per second monitor throughput of the web server web application server benchmark for reference https www techempower com benchmarks section data r20 hw ph test fortune discuss about load testing stress testing use something like locust https locust io boomer https github com myzhan boomer inject analytics in application ex google analytics sentry newrelic for cost effectiveness instead of using ready made solution can define our events using kafka to stream the events to a backend server and use a grafana dashboard if required analytics data helps us to scale the system br seo search engine optimization https github com marcobiedermann search engine optimization crawling use of heading tags semantic tags html reference https htmlreference io example https github com joelhooks joelhooks com blob main src components seo js site ranking sitemap meta keywords example https github com slaterbbx borrellis bakery blob 7bf72923972f274a0dec69cb9fc59fbec1f3d576 src components seo js l13 organic approach vs inorganic approach use of alt tags 301 redirects bad for seo robots txt example https github com peterpeterparker tietracker blob main public robots txt open graph protocol https ogp me for social graph example https github com gabroun malikgabroun blob master src components seo js br component based design component wise deployment cycle ci cd monolith vs microservice architecture microservice example live https kachkaev ru code https gitlab com kachkaev website frontend micro frontend independent dev deployment for scalability https blog bitsrc io how we build micro front ends d3eeeac0acfc topcoder platform microfront earn app code https github com topcoder platform micro frontends earn app tree responsive topcode profile micro app code https github com topcoder platform micro frontends profile app static components vs dynamic components iframe shell approach appshell approach https github com googlechromelabs sw precache tree master app shell demo iframe approach https blog bitsrc io best practices in using iframes with react 6193feaa1e08 br state management how to maintain state through the application how to manage users data state management libraries redux flux ngrx redux architecture scalable redux architecture for react projects with redux saga and typescript https itnext io scalable redux architecture for react projects with redux saga and typescript f6afe1dece9b 10 tips for better redux architecture https medium com javascript scene 10 tips for better redux architecture 69250425af44 react redux pitfalls and best practices https tech bedrockstreaming com react redux pitfalls and best pratices redux saga example codebase react crwn cothing ecom https github com th3wall react crwn cothing ecom example codebase fakeflix https github com th3wall fakeflix blob main src redux rootsaga js rxjs example recipes https www learnrxjs io learn rxjs recipes basic example using redux observable https github com simonhorlick react redux observable example better example https github com mitsuruog react redux observable typescript sample sample application with a bit of outdated code https github com rxjsinaction banking in action redux thunk br handling apis polling short and long library https www npmjs com package react polling web sockets real time ex chat shared editors displaying live orderbook using websocket code https github com fibo order book tic tac toe game with socket io code https github com jl978 multiplayer react tic tac toe batch requests graphql caching get apis middleware concepts to cache response guide https roadmap sh guides http caching server sent events sse guide https germano dev sse websockets graceful handling eg x number of retries before giving up linear exponential backoff etc error handling error handling with async await pattern see the section async logic and side effects https redux js org usage writing logic thunks async logic and side effects others handle api calls using async await with the useeffect hook https javascript plainenglish io handling api calls using async await in useeffect hook 990fb4ae423 how to use async function in react hooks useeffect https javascript plainenglish io how to use async function in react hook useeffect typescript js 6204a788a435 br optimizing images add alt attributes images should be descriptive for seo load images based on screen size img srcset image compression ex jpeg 2000 webpack guide https lawrencewhiteside com courses webpack beyond the basics optimizing asset files with compression image sitemaps use svgs for generic dimensions in case of stretching of images discuss about image sprites for icons discuss about progressive images ex medium com using blurhash https github com woltapp blurhash br instrumentation measurement and tracking are key for a stable system monitoring code https github com philipwalton blog tree main functions log error logging for tracing using google analytics https github com philipwalton blog blob main articles the ga setup i use on every site i build md error tracking debugging custom tracking https github com philipwalton blog blob main articles the ga setup i use on every site i build md tracking custom data logs track all events happened in the application code implement analytics ga this https github com elgorditosalsero react gtm hook sentry to capture errors example code https github com ajayposhak blubus blob master client index js newrelic to detect failures doc https docs newrelic com docs browser browser monitoring installation install browser monitoring agent br versioning of artifacts artifacts tracking ex confluence rollback backup mechanisms br performance optimization techniques webpack to optimized compressed pages code splitting code splitting https hackernoon com effective code splitting in react a practical guide 2195359d5d49 gzip compression https www keycdn com support enable gzip compression brotli compression https www fastfwd com improve http compression with brotli using web workers react and web workers https levelup gitconnected com react and web workers c9b60b4b6ae8 example code https github com peterpeterparker tietracker tree main public workers another example code https github com rxjsinaction banking in action tree master app scripts workers using worker with webpack 4 https github com webpack contrib worker loader using worker with webpack 5 https mmazzarolo com blog 2021 09 03 loading web workers using webpack 5 web vitals fp lcp cls etc https 10up github io engineering best practices performance core web vitals lighthouse pagespeed insights website having 100 score https github com philipwalton blog fast loading initial load should be fast list of things to consider for fast load times https web dev fast smooth operations loading indicators light smooth meaningful animations to avoid jerks in transitions splash screens dialog with light animations example using react spring code https codesandbox io embed 7mqy09jyq going jank free achieving 60 fps smooth websites https murtada nl blog going jank free achieving 60 fps smooth websites animation directions should be the same dialog coming from bottom should close in bottom smooth animation should be added in sidebars for better ux example using react spring code https codesandbox io embed morr206pv8 how to implement smooth scrolling in react https www digitalocean com community tutorials how to implement smooth scrolling in react animation between data fetching apis request skeletal loaders example https www npmjs com package react loading skeleton example live https fakeflix th3wall codes code https github com th3wall fakeflix using blurhash https github com woltapp blurhash discuss about caching ex api resource cache browser cache memory cdn disk cache guide https roadmap sh guides http caching pagination vs infinite scroll implementing pagination https www pluralsight com courses react managing large data sets implementing infinite scroll https www pluralsight com courses react managing large data sets meaningful animation fakeflix example https fakeflix th3wall codes code https github com th3wall fakeflix using framer motion live https ecom crwn clothing herokuapp com code https github com th3wall react crwn cothing ecom micro interactions https userguiding com blog microinteraction react specific issues fixing wasterd rendering caching expensive operation results reducing bundle sizes lazy loading components video https www pluralsight com courses optimize performance react code https github com hendrikswan pluralsight react performance checking extra renders code https github com lemoncode react hooks by example tree master 18 why did you update optimizing react performance 12 tools and tips https www keycdn com blog react performance render performance optimization with react https weareadaptive com 2020 04 09 render performance optimization react br internationalization i18n localization i10n localization example live https kachkaev ru code https gitlab com kachkaev website frontend blob master src i18n ts numeric date and time formats date fns library https date fns org singular plurals use of currency keyboard usage example https codesandbox io s 8x6kzj7zmj file components list js symbols icons and colors text and graphics vary with different languages and religions may be subject to misinterpretation or viewed as insensitive varying legal requirements br accessibility alt attributes aria labels example code https github com jasontarka a11y examples multi device support slow network speed adaptive loading https addyosmani com blog adaptive loading live https adaptive loading web app react hooks code https github com googlechromelabs adaptive loading color contrast semantics tags see this https 10up github io engineering best practices tools a11y testing br security mitm xss https auth0 com blog cross site scripting xss csrf content security policy in express apps https ponyfoo com articles content security policy in express apps to get started let s use report only clickjacking content security policy csp https www pluralsight com courses defeating cross site scripting content security policy cors ssl testing deep analysis of the configuration of any ssl web server on the public internet testing your ssl web server https www ssllabs com ssltest analyze html security headers analyzing http response headers for sanity https securityheaders com example of good report https securityheaders com q https 3a 2f 2fgodje nl 2f badssl https badssl com other tools http 2 test https tools keycdn com http2 test http header checker https tools keycdn com curl website speed test https tools keycdn com speed performance test https tools keycdn com performance check font type https type scale com what does my site cost https whatdoesmysitecost com html5 security cheat sheet https cheatsheetseries owasp org cheatsheets html5 security cheat sheet html production best practices security https expressjs com en advanced best practice security html web application vulnerabilities index https www netsparker com web vulnerability scanner vulnerabilities br quality assurance and control stable products are successful specify standards code level artifacts level asset level code level git artifacts level artifactory asset level git blob storage s3 etc cdn git hooks pre commit hooks husky example code https gitlab com kachkaev website blob master package json example code https github com philipwalton blog blob main husky pre commit linters static analyzers example code https github com philipwalton blog blob main eslintrc example code https github com thenewboston developers website blob development eslintrc json unit testing mocking react hooks example blog https www richardkotze com coding mocking react hooks unit testing jest code https github com rkotze starwars react app tests react hooks testing library https github com testing library react hooks testing library react testing library example code https fullstackopen com en part5 testing react apps code accompanying testing react with jest and testing library course on udemy code https github com bonnie udemy testing library testing library thenewboston website live https github com thenewboston developers website code https github com thenewboston developers website react jest example code https github com securingsincity react jest example async testing code https codesandbox io s react ts unit test example kmubx file src hooks usestepper usestepper test tsx workflow testing user level flows tools cypress cypress has a demo real world app that uses best practices code https github com cypress io cypress realworld app artsy net code https github com artsy force tree main cypress integration testing e2e integration test using mocha and pupppeteer code https github com anishkny realworld e2e test automation suite using webdriver io that allows using sauce browserstack etc code https github com philipwalton blog blob main wdio conf cjs cross browsers testing cypress demo app code https github com cypress io cypress realworld app blob develop bitbucket pipelines yml here is how you detect the browser using both javascript and css https medium com weekly webtips here is how you detect the browser in use in both javascript and css bcb5a6458379 automated cross browser unit testing https github com philipwalton blog blob main articles learning how to set up automated cross browser javascript unit testing md cross platform testing cypress demo app code https github com cypress io cypress realworld app blob develop bitbucket pipelines yml br governance controlling the workflows and protecting the assets ux design developers product managers ux designing qa code level governance like prs approval sets standard in your team gitflow https www atlassian com git tutorials comparing workflows gitflow workflow artifacts assets level governance before go live like product manager approval stakeholders approvals br experiment based release cycle experiment flag which can help in the release cycle example in a recent codebase i worked we had a flag in the frontend codebase that was enabled disabled based on the response received from api in turn api routes in node js server were handled in 2 ways 1 the server code read the values based on the server configuration env values for that particular deployment 2 actual backend that had its configuration as well affecting the user experience and user journey br nfr non functional requirement discuss about ci cd docker pipeline alexander kachkaev s personal website has a good pipeline setup see code https gitlab com kachkaev website br codebases guides worth mentioning here artsy net https github com artsy force what to look for completed production app integrations tooling thenewboston https github com thenewboston developers website what to look for complete production app significant unit tests fakeflix https github com th3wall fakeflix what to look for significant codebase that has more complete implementation than usual blogposts articles crwn clothing https github com th3wall react crwn cothing ecom algorithm visualizer https github com algorithm visualizer algorithm visualizer what to look for abstraction for components spotify clone client https github com jl978 spotify clone client what to look for simple app with clean modern hooks implementation the front end checklist https github com thedaviddias front end checklist what to look for missing points from this document spoken at more detailed length engineering best practices https 10up github io engineering best practices what to look for many sections here serve as a good reference on their own zero to production web apps code https pgjones dev tozo frontend aims what to look for independent end to end simple setup that can be used as a base template bulletproof react code https github com alan2207 bulletproof react what to look for readymade opinionated guide for adding typescript to web app react redux typescript guide https github com piotrwitek react redux typescript guide typescript cheatsheet https github com typescript cheatsheets react boilerplate code setup with node js web application server acting as a backend for frontend https github com react boilerplate react boilerplate next js setup https github com unlyed next right now react redux redux saga styled components boilerplate https github com gilbarbara react redux saga boilerplate ssr boilerplate https github com cullenjett react ssr boilerplate boilerplate seed project for creating web apps with react js graphql js and relay https github com kriasoft react firebase starter boilerplate and tooling for web application development based on react reactjs redux babel webpack css modules postcss browsersync react hot loader and optimized for cdn hosting in firebase https github com koistya react static boilerplate universal react starter https github com rkotze universal react starter new york times kyt based starterkit https github com nytimes kyt create react app simple redux typescript boilerplate https github com hammondan react redux typesript boilerplate create react app react redux redux saga ant design tailwind css boilerplate https github com dospolov archive react redux saga antd tailwind boilerplate setting up development environment git and ssh keys https docs gitlab com ee ssh index html generating a new ssh key pair code to deploy an ec2 instance for development purposes https github com boraxtheclean developmentmachine https on local dev env https www freecodecamp org news how to get https working on your local development environment in 5 minutes 7af615770eec using prettier and husky to make your commits safe https medium com bartwijnants using prettier and husky to make your commits save 2960f55cd351 git cheatsheet https gist github com kartones 9353641 license this repository is mit licensed read more license | react system-design frontend architectural-patterns frontend-architecture javascript | os |
medical-reasoning | warning work in progress medical reasoning using gpt 3 5 official repository for the paper can large language models reason about medical questions https arxiv org abs 2207 08143 pwc https img shields io endpoint svg url https paperswithcode com badge can large language models reason about question answering on medqa usmle https paperswithcode com sota question answering on medqa usmle p can large language models reason about pwc https img shields io endpoint svg url https paperswithcode com badge can large language models reason about multiple choice question answering mcqa on 21 https paperswithcode com sota multiple choice question answering mcqa on 21 p can large language models reason about pwc https img shields io endpoint svg url https paperswithcode com badge can large language models reason about question answering on pubmedqa https paperswithcode com sota question answering on pubmedqa p can large language models reason about abstract although large language models llms often produce impressive outputs it remains unclear how they perform in real world scenarios requiring strong reasoning skills and expert domain knowledge we set out to investigate whether gpt 3 5 codex and instructgpt can be applied to answer and reason about difficult real world based questions we utilize two multiple choice medical exam questions usmle and medmcqa and a medical reading comprehension dataset pubmedqa we investigate multiple prompting scenarios chain of thought cot think step by step zero and few shot prepending the question with question answer exemplars and retrieval augmentation injecting wikipedia passages into the prompt for a subset of the usmle questions a medical expert reviewed and annotated the model s cot we found that instructgpt can often read reason and recall expert knowledge failure are primarily due to lack of knowledge and reasoning errors and trivial guessing heuristics are observed e g too often predicting labels a and d on usmle sampling and combining many completions overcome some of these limitations using 100 samples codex 5 shot cot not only gives close to well calibrated predictive probability but also achieves human level performances on the three datasets usmle 60 2 medmcqa 57 5 and pubmedqa 78 2 cot samples samples of generated cots for the usmle medmcqa and pubmedqa datasets can be accessed here https vlievin github io medical reasoning more samples will be made available through thoughtsource https github com openbiolink thoughtsource setup details summary install poetry summary shell curl ssl https raw githubusercontent com python poetry poetry master get poetry py python details details summary install dependencies summary shell poetry install details details summary setup elasticsearch summary shell wget https artifacts elastic co downloads elasticsearch elasticsearch 7 14 1 linux x86 64 tar gz tar xzf elasticsearch 7 14 1 linux x86 64 tar gz to run elasticsearch navigate to the elasticsearch 7 14 1 folder in the terminal and run bin elasticsearch details running one experiment use poetry run to load and run using the poetry environment shell poetry run experiment args example poetry run experiment engine code dataset name medqa us dataset subset 10 running a group of experiments groups of experiments are defined in pyproject toml shell poetry run poe medqa test poetry run poe medmcqa valid poetry run poe pubmedqa test poetry run poe mmlu test code citation misc https doi org 10 48550 arxiv 2207 08143 doi 10 48550 arxiv 2207 08143 url https arxiv org abs 2207 08143 author li vin valentin and hother christoffer egeberg and winther ole keywords computation and language cs cl artificial intelligence cs ai machine learning cs lg fos computer and information sciences fos computer and information sciences i 2 1 i 2 7 title can large language models reason about medical questions publisher arxiv year 2022 copyright arxiv org perpetual non exclusive license | ai |
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PyImageSearchGurus-Course | computervisioncourse notes and code from the course on computer vision opencv pyimagesearch gurus https www pyimagesearch com important links https setosa io ev https www fast ai https playground tensorflow org https github com ashishpatel26 tools to design or visualize architecture of neural network | computer-vision deep-learning python3 opencv opencv-python opencv4 feature-extraction object-detection | ai |
Express-chat | express chat this app is simple chat and fron end development by react js and backend development by node js i have used socket io and express js for backend web and i have uesd react material ui for front web this app chat used support section websites for example i going to use support seaction digicoin and easybuy my project capture2 https user images githubusercontent com 54766308 188194168 df3a21af 5527 4105 8541 48be4854b7b7 jpg | server |
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witai | wit ai godoc https godoc org github com neurodrone witai status svg https godoc org github com neurodrone witai https img shields io badge license mit blue svg https github com neurodrone witai blob master license go library for wit ai natural language processing api this library integrates with libwit locally and can perform both blocking and non blocking voice queries using wit ai service dependencies in order to start using this library you will need an account on https wit ai make sure you complete the quick start https wit ai docs console quickstart guide to get yourself all set up other dependencies latest libwit can be downloaded from wit ai releases https github com wit ai libwit releases libsox brew install sox on osx libcurl brew install curl on osx usage go package main import flag log github com ianschenck envflag github com neurodrone witai func main var this points to the client access token for your account on wit ai that you will possibly have stored within an environment variable accesstoken envflag string access token wit client access token the recording device you will use for voice queries usually you can leave it be default device flag string device witai defaultdevice device name for recording input envflag parse flag parse create a new wit ai context that will be used for queries ctx err witai newcontext device accesstoken witai error if err nil log fatalln cannot create new wit ai context err always make sure to close the context once you are done defer ctx close log println say something nice now done make chan struct query the wit ai voice service asyncly if err ctx voicequeryautoasync func s string r err witai newresult s if err nil r isvalid return log printf result q n r outcomes 0 text we can exit now that we have the result close done err nil log fatalln cannot query wit ai err wait exiting the process until the async result returns done installation as simple as go get github com neurodrone witai | golang nlp | ai |
STM32F407VG-freeRTOS-FATFS-SDIO-SD-CARD | stm32f407vg freertos fatfs sdio sd card finally i am able to make it work fatfs sd card read write with freertos hardware stm32f4 discovery board with stm32f407vg microsd card reader fat32 formatted sd card keil or iar | stm32f4-discovery freertos fatfs keil-uvision iar-workbench | os |
beego-in-action | beego in action beego http beego me is a framework in golang many companies are using beego in their live products if you are developing a web application golang and beego are good choices this book will teach you how to use beego to develop a micro blog system beefer you will learn many things about beego in this book this book is not only about beego but also about how to develop a real world web application in the full stack view gitbook https lei cao gitbooks io beego in action content zh index html english en zh | front_end |
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programmer | programmer looking for a full stack developer with years of professional experience with excellent problem solving skills in the web software amp app developments and game developer you are in the right place all of my programming skills front end html html5 json javascript ajax angular reactjs jquery vuejs css css3 twitter bootstrap mobile apps react native swift objectivec page speed optimize wordpress magento backend skills php framework yii laravel node js express js mvc oop curl mysql rest apis mobile app development android ios | server |
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closed-form-matting | closed form matting build status https travis ci org marcoforte closed form matting svg branch master https travis ci org marcoforte closed form matting python implementation of image matting method proposed in a levin d lischinski and y weiss a closed form solution to natural image matting ieee conf on computer vision and pattern recognition cvpr june 2006 new york the repository also contains implementation of background foreground reconstruction method proposed in levin anat dani lischinski and yair weiss a closed form solution to natural image matting ieee transactions on pattern analysis and machine intelligence 30 2 2008 228 242 requirements python 3 5 though it should run on 2 7 scipy numpy opencv python installation clone this repository and install the closed form matting package via pip bash git clone https github com marcoforte closed form matting git cd closed form matting pip install usage closed form matting cli inerface bash scribbles input closed form matting testdata source png s testdata scribbles png o output alpha png trimap input closed form matting testdata source png t testdata trimap png o output alpha png add flag solve fg to compute foreground color and output rgba image instead of alpha python interface python import closed form matting for scribles input alpha closed form matting closed form matting with scribbles image scribbles for trimap input alpha closed form matting closed form matting with trimap image trimap for prior with confidence alpha closed form matting closed form matting with prior image prior prior confidence optional const mask to get matting laplacian for image laplacian closed form matting compute laplacian image optional const mask foreground and background reconstruction cli interface requires opencv python bash solve foreground background image png alpha png foreground png background png python interface python from closed form matting import solve foreground background foreground background solve foreground background image alpha results original image scribbled image output alpha output foreground original image testdata source png scribbled image testdata scribbles png output alpha testdata output alpha png output foreground testdata output foreground png more information the computation is generally faster than the matlab version thanks to more vectorization note the computed laplacian is slightly different due to array ordering in numpy being different than in matlab to get same laplacian as in matlab change indsm np arange h w reshape h w ravelimg img reshape h w d to indsm np arange h w reshape h w order f ravelimg img reshape h w d order f again note that this will result in incorrect alpha if the d s b s orderings are not also changed to order f f for more information see the original paper http www wisdom weizmann ac il levina papers matting levin lischinski weiss cvpr06 pdf the original matlab code is here http www wisdom weizmann ac il levina matting tar gz disclaimer the code is free for academic research purpose use at your own risk and we are not responsible for any loss resulting from this code feel free to submit pull request for bug fixes | matting image-processing python laplacian image-matting | ai |
START-Summit-2017-Blockchain-Machine-Learning-Workshop | intro https raw githubusercontent com thoschm start summit 2017 blockchain machine learning workshop master img page 0000 jpg start summit 2017 blockchain machine learning workshop presentation material and sample code from the blockchain and machine learning workshop at start summit 2017 in switzerland intro the purpose of this code is to demonstrate in a simple example how to bring blockchain technology smart contracts and machine learning together it implements a simple chat client that can transmit messages images and tags to the blockchain tags are automatically extracted via a simple deep neural network using the keras python package with tensorflow backend in addition to just sending messages the client also supports listening for new messages on the blockchain from other participants for details please view the workshop presentation files runtestnet sh launches a local development blockchain for easy testing contract sol contains the smart contract code in solidity language installcontract py python script for sending our contract to the blockchain user py python script that contains the actual chat client classify py python script to classifiy an image file setup i really recommend using linux at this point the installation guidelines will focus on ubuntu linux 16 04 lts but should be similar for other distributions we need to install python 2 7 pip curl and git first open a linux terminal and enter the following command sudo apt get install python2 7 python pip curl git build essential libssl dev install current nodejs version curl sl https deb nodesource com setup 7 x sudo e bash sudo apt get install y nodejs install the blockchain test environment sudo npm install g ethereumjs testrpc solc install additional python packages sudo pip install u pip sudo pip install u numpy keras 2 0 0 tensorflow ethjsonrpc h5py pillow scipy now let s clone the workshop code cd git clone https github com thoschm start summit 2017 blockchain machine learning workshop git workshop code last step of preparation cloning a ready deep learning model cd git clone https github com fchollet deep learning models git cp deep learning models resnet50 py workshop code code cp deep learning models imagenet utils py workshop code code simple image classification example cd cd workshop code code get some image file in there python classify py image jpg when you run it the first time it will download pre trained network weights from the internet no need to train on your own output using tensorflow backend content downloading data from https s3 amazonaws com deep learning models image models imagenet class index json tree frog running the complete complete blockchain ml demo architecture https raw githubusercontent com thoschm start summit 2017 blockchain machine learning workshop master img page 0032 jpg starting the blockchain testnet cd cd workshop code code runtestnet sh here s the workshop slide testnet https raw githubusercontent com thoschm start summit 2017 blockchain machine learning workshop master img page 0033 jpg and here s our current output ethereumjs testrpc v3 0 3 available accounts 0 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 1 0xc590c4d665805458171411ac442b1c8b291f32f5 2 0x68b3555067cbd45d438ab6718d471e45ea658e97 3 0x2b91ec12075da8e7c400788108aa37d77eede040 4 0xa9e1315284a36b1cf03c008bf58f01e649641467 5 0x0bdda62c2ec3b4cbcc7c4eef73da1151822552a5 6 0x5bbeeb78b4dba70687e67f59efb087e759f61501 7 0x07a2a4db9732210252bf672a7a02ff387a8bd793 8 0x28b2cc00b3618dc16cc8db1cbe76a11bf59870db 9 0x30e0284721f67667538edeb2bf894bdc515e883d private keys 0 f1961f0b7437d703815fe85ff3e1a2f9f92e3a050e74d2cf471006c20aa3ad16 1 01307d3f762e45c483c45fe769cc2791e203e27837c911866e2de61e3b8db7fb 2 58d8fb6e827ab4c84619d458abae27a7ec8553fcceb8adf602ec4f8e0ab2b277 3 d3ec9d32db5b128d0bad0ce5323badba618e327c90553463751cd631ebaeece4 4 87c288352be5bbf38ecf22b571b4a2c8f8936e50ddd98ff678a4c5d0f5c5105c 5 35bd1c6339e7eef3d7c879e363c89e23578d25289c5994b76f8542771e5fb1f2 6 e5895317d53a9422bc39ae0709e2074343f57666e290d27a7c12e4fb7adcfba6 7 5e2e5fbfe292efe294ecfbf832a589e625fa4145a6069f841935c4eb61076d27 8 053d66ed79f92307daae8db58280206a8a700ca864bf69fac8406a8ed29eda6a 9 c25bba1d0ccd6d8fc48efa5708427a5944c79a5f5e1a28b6ab7d28e1cd15ccf3 hd wallet mnemonic enable debate helmet sport sort young flash ginger letter inside stone quiz base hd path m 44 60 0 0 account index gas limit 21489604 listening on localhost 8545 we have now created a local testnet that will look and feel the same way as a normal node rpc communication is the same the addresses under available accounts are the ids that will identify our network users like nicknames on a chat platform normally they would be sitting on difference computers distributed over the internet and the good news is the workshop code will work in a real blockchain network without any modification installing the smart contract on the chain now open a new terminal and let the testnet run we need it in the new console enter cd cd workshop code code python installcontract py this will compile the smart contract from the file contract sol into byte code and print it to the console also the code is sent to the blockchain via transaction to access it there we need to remember the contract address that is output as well client software ethereumjs testrpc v3 0 3 ethereum js block 0 address 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 compiling contract 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 contract sent waiting for it to be mined contract mined block 1 contract address 0x86817fbb2715c45d70163ba9de0b7af9c90f6282 launching the chat client please open now two new terminal and leave the testnet running we still need it since our smart contract in now inside the blockchain also please have an arbitrary image ready i like using images of frogs or beer but that s just my preference in the first one enter cd cd workshop code code python user py 0x86817fbb2715c45d70163ba9de0b7af9c90f6282 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 remember that we need to provide the address of our contract inside the chain and the address of our user account let s take the first one in the list therefore 1 copy the contract address from the terminal where the contract was installed in the chain 2 copy the 1st account address from the testnet terminal under available accounts 3 both will be given as arguments to the user py program output using tensorflow backend client software ethereumjs testrpc v3 0 3 ethereum js block 1 address 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 found contract on blockchain starting chat command line now let s do the same in our second empty terminal but with account address 2 as argument the contract address remains the same cd cd workshop code code python user py 0x86817fbb2715c45d70163ba9de0b7af9c90f6282 0xc590c4d665805458171411ac442b1c8b291f32f5 you see the second parameter is different output using tensorflow backend client software ethereumjs testrpc v3 0 3 ethereum js block 1 address 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 found contract on blockchain starting chat command line testing the decentralized message blockchain take one of the two chat windows and let it listen for a certain tag i ll take tree frog since i know that my image will be classified as tree frog however in normal use people will only be notified if a messages arrive that match their topic filter using tensorflow backend client software ethereumjs testrpc v3 0 3 ethereum js block 1 address 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 found contract on blockchain starting chat command line help commands help send status topics search listen topics tree frog hi hello how are you filter set for messages on topics tree frog hi hello how are you listen with the listen command i have set the chat client into listening mode to receive messages this could run in parallel in the background but it s just a demo now finally take the other chat window compose a new message and give it the image you have downloaded using tensorflow backend client software ethereumjs testrpc v3 0 3 ethereum js block 1 address 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 found contract on blockchain starting chat command line send composing new message message hi this is a test message and will be stored inside the blockchain along with a frog image file image jpg custom tags i like green animals sending precessing image label tree frog done transaction id 0x39a707aab2f5993366ec762afe0f9a66c99f61d16ba4b03de31a057261260ffe now the magic happens inside the other chat window please note that the complete communication has taken place over the blockchain no other channels were used window 1 sends the message image and tags to our smart contract inside the chain and window 2 listens for events and tags on the blockchain if a new message with certain tags which were automatically extracted from the image via machine learning arrives it will materialize message image and tags from the chain using tensorflow backend client software ethereumjs testrpc v3 0 3 ethereum js block 1 address 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 found contract on blockchain starting chat command line help commands help send status topics search listen topics tree frog hi hello how are you filter set for messages on topics tree frog hi hello how are you listen new block detected 2 message from user 0x0d56bafa9c8181199e99956a3f67eb937a47ce80 block 2 content hi this is a test message and will be stored inside the blockchain along with a frog tags i like green animals tree frog also the received image will be displayed result https raw githubusercontent com thoschm start summit 2017 blockchain machine learning workshop master img result png that s it an decentralized chat demo application using blockchain and machine learning technology in a few lines of python code and some cool properties users are anonymous nickname is a hash as long as people support the network it cannot be taken down or modified it supports easy search for topics and messages use the search command within the chat console and finally it shows how to combine ml and blockchain in an easy way and provides the building blocks for you to dive deeper into the matter if you have questions drop me an email btw datareply can build enterprise ready machine learning and blockchain solutions for you | start-summit-2017 blockchain machine-learning workshop machine-learning-workshop switzerland python-script workshop-presentation linux presentation-materials python | blockchain |
system-design-beginner | thi t k h th ng cho ng i m i ngu n d ch thu t the system design primer https github com donnemartin system design primer p align center img src http i imgur com jj3a5n8 png br p ng l c motivation h c c ch thi t k c c h th ng c kh n ng m r ng cao l m t i li u chu n b cho c c bu i ph ng v n v thi t k h c c ch thi t k c c h th ng c kh n ng m r ng cao h c c ch thi t k h th ng c kh n ng m r ng s gi p b n tr th nh m t k s t t h n thi t k h th ng l m t ch r t r ng c h ng h sa s c c t i nguy n r i r c tr n web v c c nguy n l thi t k h th ng repo n y l m t b s u t p c t ch c c c t i nguy n gi p b n h c c ch x y d ng c c h th ng c kh n ng m r ng anki flashcards p align center img src images zdcakb3 png br p m c l c start doctoc generated toc please keep comment here to allow auto update don t edit this section instead re run doctoc to update kh i ng kh e1 bb 9fi c4 91 e1 bb 99ng b c 1 b i gi ng v kh n ng m r ng b c6 b0 e1 bb 9bc 1 b c3 a0i gi e1 ba a3ng v e1 bb 81 kh e1 ba a3 n c4 83ng m e1 bb 9f r e1 bb 99ng b c 2 b i b o v kh n ng m r ng b c6 b0 e1 bb 9bc 2 b c3 a0i b c3 a1o v e1 bb 81 kh e1 ba a3 n c4 83ng m e1 bb 9f r e1 bb 99ng hi u n ng v kh n ng m r ng hi e1 bb 87u n c4 83ng v c3 a0 kh e1 ba a3 n c4 83ng m e1 bb 9f r e1 bb 99ng tr v th ng l ng c4 91 e1 bb 99 tr e1 bb 85 v c3 a0 th c3 b4ng l c6 b0 e1 bb a3ng t nh s n s ng v t nh nh t qu n t c3 adnh s e1 ba b5n s c3 a0ng v c3 a0 t c3 adnh nh e1 ba a5t qu c3 a1n nh l cap c4 91 e1 bb 8bnh l c3 bd cap c c m u nh t qu n consistency patterns c c3 a1c m e1 ba abu nh e1 ba a5t qu c3 a1n consistency patterns nh t qu n y u weak consistency nh e1 ba a5t qu c3 a1n y e1 ba bfu weak consistency eventual consistency nh t qu n n cu i c ng eventual consistency nh e1 ba a5t qu c3 a1n c4 91 e1 ba bfn cu e1 bb 91i c c3 b9ng nh t qu n m nh strong consistency nh e1 ba a5t qu c3 a1n m e1 ba a1nh strong consistency availability patterns availability patterns failover failover nh n b n nh c3 a2n b e1 ba a3n domain name system domain name system content delivery network cdn content delivery network cdn push cdn push cdn pull cdn pull cdn m t s t i nguy n cdn mi n ph m e1 bb 99t s e1 bb 91 t c3 a0i nguy c3 aan cdn mi e1 bb 85n ph c3 ad b c n b ng t i load balancer b e1 bb 99 c c3 a2n b e1 ba b1ng t e1 ba a3i load balancer layer 4 load balancing layer 4 load balancing layer 7 load balancing layer 7 load balancing m r ng theo chi u ngang horizontal scaling m e1 bb 9f r e1 bb 99ng theo chi e1 bb 81u ngang horizontal scaling reverse proxy web server reverse proxy web server load balancer vs reverse proxy load balancer vs reverse proxy application layer application layer microservices microservices service discovery service discovery c s d li u database c c6 a1 s e1 bb 9f d e1 bb af li e1 bb 87u database relational database management system rdbms relational database management system rdbms c s d li u nosql c c6 a1 s e1 bb 9f d e1 bb af li e1 bb 87u nosql sql hay nosql sql hay nosql cache cache client caching client caching cdn caching cdn caching web server caching web server caching database caching database caching application caching application caching caching at the database query level caching at the database query level caching at the object level caching at the object level khi n o n n c p nh t cache khi n c3 a0o n c3 aan c e1 ba adp nh e1 ba adt cache b t ng b asynchronism b e1 ba a5t c4 91 e1 bb 93ng b e1 bb 99 asynchronism message queues message queues task queues task queues back pressure back pressure communication communication hypertext transfer protocol http hypertext transfer protocol http transmission control protocol tcp transmission control protocol tcp user datagram protocol udp user datagram protocol udp remote procedure call rpc remote procedure call rpc representational state transfer rest representational state transfer rest so s nh rpc and rest so s c3 a1nh rpc and rest b o m t security b e1 ba a3o m e1 ba adt security end doctoc generated toc please keep comment here to allow auto update kh i ng b c 1 b i gi ng v kh n ng m r ng cs75 summer 2012 lecture 9 scalability harvard web development david malan https www youtube com watch v w9f d3oy4 c c ch c c p m r ng theo chi u d c vertical scaling m r ng theo chi u ngang horizontal scaling caching c n b ng t i load balancing nh n b n c s d li u database replication ph n m nh c s d li u database partitioning b c 2 b i b o v kh n ng m r ng scalability for dummies http www lecloud net tagged scalability c c ch c c p clones http www lecloud net post 7295452622 scalability for dummies part 1 clones c s d li u http www lecloud net post 7994751381 scalability for dummies part 2 database caches http www lecloud net post 9246290032 scalability for dummies part 3 cache b t ng b asynchronism http www lecloud net post 9699762917 scalability for dummies part 4 asynchronism b c ti p theo ti p theo l m t s kh i ni m m c cao h n hi u n ng performance v kh n ng m r ng scalability tr latency v th ng l ng throughput t nh s n s ng availability v t nh nh t qu n consistency hi u n ng v kh n ng m r ng m t d ch v c coi l c t nh m r ng scalable n u n mang l i k t qu ho t ng t ng theo t l thu n v i c c t i nguy n resource c th m v o t ng hi u n ng c th c hi u l m t l c l m c nhi u vi c h n hay l m c m t vi c l n h n sup a href http www allthingsdistributed com 2006 03 a word on scalability html 1 a sup m t c ch nh n kh c v hi u n ng v kh n ng m r ng n u b n c v n v hi u n ng h th ng c a b n s ch m khi ph c v m t ng i d ng n nh t n u b n c v n v kh n ng m r ng h th ng c a b n s nhanh khi ph c v ng i d ng n v s ch m n u ph i ch u t i l n ngu n v t i li u c th m a word on scalability http www allthingsdistributed com 2006 03 a word on scalability html scalability availability stability patterns http www slideshare net jboner scalability availability stability patterns tr v th ng l ng tr l th i gian th c hi n m t s h nh ng ho c t o ra m t s k t qu th ng l ng l s h nh ng c th c hi n hay s k t qu c a ra trong m t n v th i gian th ng th ng m c ch s l c c i th ng l ng v i tr ch p nh n c ngu n v t i li u c th m understanding latency vs throughput https community cadence com cadence blogs 8 b sd archive 2010 09 13 understanding latency vs throughput t nh s n s ng v t nh nh t qu n nh l cap p align center img src http i imgur com bglmi2u png br i a href http robertgreiner com 2014 08 cap theorem revisited source cap theorem revisited a i p m t h th ng t nh to n ph n t n distributed b n n n t m hi u th m v decentralized b n ch c th cung c p hai trong s c c t nh ng n d i y t nh nh t qu n consistency m i s ki n c read u nh n c phi n b n m i nh t c a s ki n ghi write g n nh t ho c l i t nh s n s ng availability m i request u nh n m t response kh ng c n m b o d li u nh n c l phi n b n m i nh t t nh ch u ng ph n m nh partition tolerance h th ng v n ti p t c ho t ng m c cho s ph n m nh t y arbitrary partitioning b g y ra do l i m ng m i tr ng m ng l kh ng ng tin c y v v y b n s c n t nh ch u ng ph n m nh b n s c n c n nh c gi a t nh nh t qu n v t nh s n s ng cp consistency and partition tolerance i m t response t node c ph n m nh c th g y ra timeout error cp l m t l a ch n t t n u b n c n m t ng d ng c ghi nguy n t ap availability and partition tolerance responses tr v phi n b n g n nh t c a d li u c tr n node c th kh ng ph i l m i nh t vi c ghi c th t n m t l ng th i gian cho vi c lan truy n ap s t t i v i c c ng d ng c n eventual consistency eventual consistency ho c c c ng d ng y u c u v n ho t ng m c cho c l i t b n ngo i c c m u nh t qu n consistency patterns v i nhi u b n sao c a c ng m t d ki u ch ng ta ph i i m t v i c c l a ch n v c ch ng b ch ng client c m t c i nh n nh t qu n v d li u nh t qu n y u weak consistency sau khi ghi vi c c c th nh n th y ho c kh ng nh t qu n y u s ho t ng t t v i ng d ng voip video chat game online c c ng d ng c n ph n h i nhanh v c th ch p nh n m t m t th ng tin eventual consistency nh t qu n n cu i c ng sau khi ghi vi c c cu i c ng s th y n c th sau m t th i gian d li u c nh n b n m t c ch b t ng b lo i n y c recommmend cho c c ng d ng c n t nh s n s ng cao m h nh base nh t qu n m nh strong consistency sau vi c ghi vi c c s th y n d li u c nh n b n m t c ch ng b n c th c th y c c h th ng file hay h c s d li u quan h n s h u ch v i c c ng d ng d ng giao t c m h nh acid ngu n v t i li u c th m transactions across data centers http snarfed org transactions across datacenters io html availability patterns c hai m u ch nh h tr t nh s n s ng cao fail over v nh n b n replication failover active passive v i active passive fail over heartbeats c g i gi a c c m y ch ch ng active server v m y ch b ng passive server s tr ng th i ch standby n u heartbeat b ng t qu ng m y ch th ng l y a ch ip c a m y ch ch ng v ti p t c d ch v vi c i ip n y c nhi u c ch gi i quy t b n c th xem zookeeper https zookeeper apache org active active trong m h nh active active t t c server u qu n l trafic chia s t i cho nhau n u c c server u tr ng th i public facing dns s c n bi t c c a ch ip c ng khai c a c c server n y n u c c server tr ng th i internal facing nghi p v c a ch ng tr nh s ph i bi t v t t c c c server n y active active failover c th c g i v i c i t n kh c l master master failover nh c i m failover fail over c n th m ph n c ng v ph c t p h n v n c kh n ng m t m t d li u n u server active s p tr c khi d li u m i c ghi ch a c nh n b n server passive nh n b n master slave and master master ch n y s c b n lu n s u h n ph n database database master slave replication master slave replication master master replication master master replication domain name system p align center img src http i imgur com ioylj4i jpg br i a href http www slideshare net srikrupa5 dns security presentation issa source dns security presentation a i p m t domain name system dns d ch m t t n mi n nh www example com th nh a ch ip ngo i ra n c th s d ng c n b ng t i dns c t nh th b c hierarchical v i m t v i server ch nh ch authoritative server m c cao nh t router ho c isp cung c p th ng tin v dns server n o s c li n l c khi c vi c tra c u c c server dns m c th p h n c d ng cho cache mappings ch ng c th kh ng c c p nh t m i nh t do tr t vi c lan truy n k t qu dns c th c cache b i tr nh duy t ho c h i u h nh trong m t kho ng th i gian s ng time to live ttl https en wikipedia org wiki time to live ns record name server ch nh dns servers cho t n mi n t n mi n con mx record mail exchange ch nh mail servers cho vi c ch p nh n c c tin nh n a record address nh x m t t n n m t a ch ip cname canonical nh x m t t n n m t t n kh c ho c cname example com to www example com ho c n m t b n ghi a d ch v nh cloudflare https www cloudflare com dns v route 53 https aws amazon com route53 cung c p c c d ch v dns c qu n l m t v i dns service c th nh tuy n trafic v i r t nhi u ph ng ph p weighted round robin http g33kinfo com info archives 2657 ch n c c traffic n server ang b o tr c n b ng gi a c c size cluster kh c nhau a b testing d a v o tr latency based d a v o v tr a l geolocation based nh c i m dns truy c p dns s t o ra m t tr nh m c d c gi m b t t vi c cache qu n l dns server c th ph c t p m c d ch ng c qu n l b i governments isps and large companies http superuser com questions 472695 who controls the dns servers 472729 dns services c th b t n c ng ddos attack http dyn com blog dyn analysis summary of friday october 21 attack l m cho ng i d ng kh ng th truy c p ng a ch ip ngu n v t i li u c th m dns architecture https technet microsoft com en us library dd197427 v ws 10 aspx wikipedia https en wikipedia org wiki domain name system dns articles https support dnsimple com categories dns content delivery network cdn p align center img src http i imgur com h9taugi jpg br i a href https www creative artworks eu why use a content delivery network cdn source why use a cdn a i p m t content delivery network cdn l m t m ng ph n t n to n c u c c proxy server ph c v c c n i dung t c c a i m g n h n cho ng i d ng th ng th ng c c n i dung t nh nh html css js nh v video c ph c v b i cdn m c d m t v i cdn nh amazon s cloudfront cung c p c c n i dung ng m t dns resolution s n i cho client bi t l y n i dung t cdn n o vi c cung c p n i dung t cdn c th c t i u hi u n ng ng k nh hai y u t ng i d ng nh n n i dung t i trung t m d li u g n h server s kh ng ph i ph c v c c request m cdn x l push cdn p align center img src https i cdn net wp content uploads 2016 12 picture1 1 png br i source cdn net i p push cdns nh n n i dung m i b t c khi n o c s thay i t server b n ch u ho n to n tr ch nhi m cho vi c cung c p n i dung upload tr c ti p l n cdn v vi t l i url tr t i cdn b n c th c u h nh khi n i dung h t h n v khi n o c c p nh t n i dung ch c c p nh t khi n l m i ho c c c p nh t l i t i thi u h a traffic nh ng t i a h a storage site v i m t l ng traffic nh ho c site v i n i dung t ph i c p nh t s ho t ng t t nh t v i cdn n y n i dung c t cdn m t l n thay v c pull l i sau m t kho ng th i gian nh t nh pull cdn p align center img src https i cdn net wp content uploads 2016 12 picture2 1 png br i source cdn net i p pull cdn l y n i dung m i t server khi ng i d ng u ti n y u c u n i dung b n n i dung server c a b n v vi t l i url tr n cdn k t qu l c c request s c ph c v ch m h n khi n i dung ch a k p cache l i kho ng th i gian s ng time to live ttl https en wikipedia org wiki time to live x c nh kho ng th i gian n i dung c cache pull cdns t i thi u h a l ng d li u ph i l u tr tr n cdn nh ng n c th t o ra c c traffic th a n u n i dung h t h n v c pull l i tr c khi n th c s c thay i c c site v i l ng traffic l n s ho t ng t t v i pull cdns v traffic c ph n u ra do ch c c c n i dung c y u c u g n y c l u cdn m t s t i nguy n cdn mi n ph cloudflare https www cloudflare com photon https jetpack com support photon jsdelivr https www jsdelivr com google hosted library https developers google com speed libraries nh c i m cdn chi ph cho cdn c th ng k d a v o l ng truy c p nh ng v n c n c n nh c v i nh ng chi ph b n ph i g nh ch u n u kh ng s d ng cdn n i dung c th c n u n v n trong th i gian s ng t i cdn m l i c c p nh t server cdn y u c u vi c vi t l i url tr t i n ngu n v t i li u c th m globally distributed content delivery http repository cmu edu cgi viewcontent cgi article 2112 context compsci the differences between push and pull cdns http www travelblogadvice com technical the differences between push and pull cdns wikipedia https en wikipedia org wiki content delivery network b c n b ng t i load balancer p align center img src http i imgur com h81n9ik png br i a href http horicky blogspot com 2010 10 scalable system design patterns html source scalable system design patterns a i p load balancers ph n t n c c request n c c t i nguy n t nh to n v d nh c c server v database m i tr ng h p load balancer tr v m t response t t i nguy n t nh to n n m t client th ch h p load balancers hi u qu trong ng n c c request n c c server ang c v n ng n ch n vi c m t t i nguy n b qu t i gi p lo i b i m ch t single points of failure load balancers c th c c i t v i ph n c ng t ho c b ng ph n m m nh haproxy m t v i l i ch kh c ssl termination gi i m c c request n v m h a c c response tr v v v y backend kh ng ph i lo vi c n y n a kh ng c n c i t x 509 certificates https en wikipedia org wiki x 509 cho m i server m t session persistence cung c p c c cookie v nh tuy n c c request c th n c ng m t instance n u ng d ng web kh ng theo d i session b o v tr c l i th ng ph i c i t nhi u load balancer c active passive v active active load balancer c th nh tuy n trafic d a tr n nhi u o bao g m ng u nhi n t c load nh t session cookies round robin or weighted round robin http g33kinfo com info archives 2657 layer 4 layer 7 layer 4 load balancing layer 4 load balancer nh n v o th ng tin l p transport quy t nh ph n t n request th ng th ng n bao g m c c a ch ip c a ngu n ch v port ph n header nh ng kh ng c n i dung c a package layer 4 load balancer chuy n ti p c c g i tin n v t c c upstream server bi u di n network address translation nat https www nginx com resources glossary layer 4 load balancing layer 7 load balancing layer 7 load balancer xem th ng tin t i l p application layer ph n t n request n c th bao g m th ng tin c a header message v cookies layer 7 load balancer ng t network traffic c n i dung tin a ra quy t nh sau m m t k t n i n server c l a ch n v d m t layer 7 load balancer c th ch ng video traffic t i c c server ch a video trong khi ch ng cho c c traffic nh y c m h n t i nh ng server c t nh b o m t cao security hardened server n i v chi ph cho s linh ho t layer 4 load balancing y u c u t th i gian v t i nguy n t nh to n h n layer 7 m c d t c ng c a hi u n ng c th l t i thi u c c h th ng c trang b hi n i m r ng theo chi u ngang horizontal scaling load balancer c th c ng gi p ch cho horizontal scaling n ng cao hi u n ng v kh n ng m r ng m r ng s d ng th m c c b m y l hi u qu h n v k t qu l t nh s n s ng cao h n l m r ng b ng c ch n ng c p m t server b ng c c ph n c ng t h n g i l m r ng theo chi u d c vertical scaling c ng d d ng h n thu c c t i n ng l m vi c tr n c c h th ng th ng m i so v i c c h th ng doanh nghi p c bi t nh c i m horizontal scaling m r ng ngang y u c u ph c t p h n v c n c clone server server n n stateless ch ng kh ng n n l u tr b t k d li u n o li n quan n ng i d ng nh sessions hay nh c nh n sessions c th l u m t trung t m d li u nh m t database sql nosql ho c cache b ng redis hay memcached downstream server v d nh cache hay database c n x l nhi u k t n i ng th i b i v upstream server c m r ng nh c i m load balancer the load balancer c th tr th nh th t c chai n u kh ng c t i nguy n ho c kh ng c c u nh t t c th t ng s ph c t p m t load balancer n l l m t i m l i n u d ng nhi u load balancer th vi c c u h nh l i ph c t p h n ngu n v t i li u c th m nginx architecture https www nginx com blog inside nginx how we designed for performance scale haproxy architecture guide http www haproxy org download 1 2 doc architecture txt scalability http www lecloud net post 7295452622 scalability for dummies part 1 clones wikipedia https en wikipedia org wiki load balancing computing layer 4 load balancing https www nginx com resources glossary layer 4 load balancing layer 7 load balancing https www nginx com resources glossary layer 7 load balancing elb listener config http docs aws amazon com elasticloadbalancing latest classic elb listener config html reverse proxy web server p align center img src http i imgur com n41azff png br i a href https upload wikimedia org wikipedia commons 6 67 reverse proxy h2g2bob svg source wikipedia a i br p m t reverse proxy l m t web server t p trung c c d ch v b n trong internal services v cung c p giao di n c chu n h a ra b n ngo i requests t clients c chuy n ti p n server c kh n ng ho n th nh n tr c khi reverse proxy tr v response c a server cho client c c l i ch k m theo bao g m t ng t nh b o m t che d u c c th ng tin v backend servers blacklist ips s k t n i t i a c c p cho m i client t ng kh n ng m r ng v linh ho t client ch nh n th y a ch ip c a reverse proxy cho ph p m r ng th m server ho c thay i c u h nh c a nh ng server n y ch m d t ssl ssl termination n i ph n c n b ng t i n n compression n n server response caching tr v c c response c cache c c n i dung t nh static content n u client y u c u c c n i dung t nh kh ng c n n server x l reverse proxy c th tr v tr c ti p c c n i dung n y html css js photos videos etc load balancer vs reverse proxy tri n khai m t load balancer l c l i n u b n c nhi u server m t c ch th ng xuy n load balancer nh tuy n traffic n m t t p c c server ph c v c ng m t ch c n ng reverse proxy c th h u d ng ngay c v i ch m t web server v i c c l i t ch n u tr n gi i ph p v d nh nginx v haproxy c th h tr c layer 7 reverse proxying v load balancing nh c i m reverse proxy t ng th m t nh ph c t p m t reverse proxy n l l m t i m l i n c u h nh nhi u reverse proxy v d m t failover https en wikipedia org wiki failover th l i th m t nh ph c t p ngu n v t i li u c th m reverse proxy vs load balancer https www nginx com resources glossary reverse proxy vs load balancer nginx architecture https www nginx com blog inside nginx how we designed for performance scale haproxy architecture guide http www haproxy org download 1 2 doc architecture txt wikipedia https en wikipedia org wiki reverse proxy application layer p align center img src http i imgur com yb5sywm png br i a href http lethain com introduction to architecting systems for scale platform layer source intro to architecting systems for scale a i p chia ra web layer t the application layer c n c bi t n nh platform layer cho ph p b n m r ng v c u h nh c hai m t c ch c l p th m m t api m i k t qu ch l th m m t application server m kh ng c n th m m t web server single responsibility principle ng h cho vi c c c c service nh v t tr l m vi c c ng v i nhau c c team nh v i c c d ch v nh c th tr ho ch m nh m h n cho s ph t tri n nhanh ch ng worker application layer c th cho ph p b t ng b asynchronism microservices v n b n n l microservices https en wikipedia org wiki microservices c th c mi u t nh m t b c c service c tri n khai c l p nh v h ng module m i service ch y m t ti n tr nh ri ng bi t v giao ti p th ng qua m t c ch g n nh c x c nh r h ng th c hi n m t nghi p v sup a href https smartbear com learn api design what are microservices 1 a sup pinterest nh l m t v d c th c c c microservice sau y user profile follower feed search photo upload service discovery c c h th ng nh consul https www consul io docs index html etcd https coreos com etcd docs latest and zookeeper http www slideshare net sauravhaloi introduction to apache zookeeper c th gi p c c service t m c c c service kh c b ng vi c theo d i c c t n a ch v c ng c ng k health checks https www consul io intro getting started checks html gi p ki m ch ng s to n v n c a c c service th ng c th c hi n b ng c ch s d ng http endpoint c consul v etcd c x y d ng tr n key value store r t h u d ng cho vi c l u tr c c gi tr c u h nh v c c d li u c chia s kh c nh c i m application layer th m m t application layer v i c c d ch v k t i l ng l o y u c u c ch ti p c n kh c v ki n tr c v n h nh v c c quan i m qu tr nh process viewpoint so v i m t monolithic system microservices c th th m ph c t p tr ng vi c tri n khai v v n h nh ngu n v t i li u c th m intro to architecting systems for scale http lethain com introduction to architecting systems for scale crack the system design interview http www puncsky com blog 2016 02 14 crack the system design interview service oriented architecture https en wikipedia org wiki service oriented architecture introduction to zookeeper http www slideshare net sauravhaloi introduction to apache zookeeper here s what you need to know about building microservices https cloudncode wordpress com 2016 07 22 msa getting started c s d li u database p align center img src http i imgur com xkm5cxz png br i a href https www youtube com watch v vg5onp8tu6q source scaling up to your first 10 million users a i p relational database management system rdbms m t csdl quan h nh sql l m t b s u t p c c data c t ch c d i d ng b ng acid l m t t p c c thu c t nh c a rdbms transactions https en wikipedia org wiki database transaction p align center img src https tedu com vn uploaddata images acid 600x338 png br p atomicity m i transaction ho c l t t c c c thao t c th nh c ng ho c t t c th t b i consistency b t k transaction n o c ng a csdl t m t tr ng th i h p l n y sang m t tr ng th i h p l kh c isolation c c giao d ch ph i t ch bi t nhau durability c c d li u commit l b n v ng c r t nhi u k thu t m r ng rdbms master slave replication master master replication federation sharding denormalization v sql tuning master slave replication server master ph c v c v ghi nh n b n c c d li u c ghi ra slave n i m d li u ch c c c c slave c th nh n b n ra c c slave kh c d ng c y n u master s p h th ng s tr ng th i ch c cho n khi m t slave c th ng l n l m master ho c master c kh i ph c p align center img src http i imgur com c9iogtn png br i a href http www slideshare net jboner scalability availability stability patterns source scalability availability stability patterns a i p nh c i m master slave replication c n th m c c logic x c nh c ch chuy n m t slave n n master master master replication t t c u h tr c ghi c c server l ngang h ng v vi c ghi n u m t master s p h th ng v n ti p t c c ghi p align center img src http i imgur com krahlgg png br i a href http www slideshare net jboner scalability availability stability patterns source scalability availability stability patterns a i p nh c i m master master replication b n s c n m t load balancer ho c s c n thay i logic c a application qu t nh ghi u h u h t h th ng master master l nh t qu n l ng l o x m ph m acid ho c s tr trong vi c ghi ng b gi i quy t xung t s c ng ph c t p n u th m server ghi nh c i m replication c kh n ng m t m t d li u n u master ch t tr c khi nh n b n c ho n th nh m i l n ghi s sinh ra c c l n nh n b n n u c r t nhi u ghi vi c nh n b n c th b sa l y v kh ng th l m nh c c h th ng nhi u c c ng nhi u read slave b n c ng c n nh n b n nhi u tr c n l n m t v i h th ng vi t l n master c th sinh nhi u lu ng ghi song song khi nh n b n ch cung c p vi t tu n t v i m t lu ng n nh n b n c n th m ph n c ng v ph c t p ngu n v t i li u c th m replication scalability availability stability patterns http www slideshare net jboner scalability availability stability patterns multi master replication https en wikipedia org wiki multi master replication federation p align center img src http i imgur com u3qv33e png br i a href https www youtube com watch v vg5onp8tu6q source scaling up to your first 10 million users a i p federation or ho c ph n chia theo h m chia database b ng h m v d thay v d ng m t database n b n c th c ba database forums users v products k t qu l s t traffic c ghi cho m i database v cu i c ng t lag cho nh n b n database nh h n k t qu l nhi u d li u c th c v a cho memory c th t o n n nhi u cache hit h n v c i thi n cache m t c ch c c b do c nhi u database b n c th ghi song song c i thi n th ng l ng nh c i m federation federation kh ng hi u qu n u schema y u c u h m ho c b ng l n b n s c n c p nh t application logic x c nh ghi v c tr n database n o join b ng s r t ph c t p v i m t server link http stackoverflow com questions 5145637 querying data by joining two tables in two database on different servers federation c n th m ph n c ng v ph c t p ngu n v t i li u c th m federation scaling up to your first 10 million users https www youtube com watch v vg5onp8tu6q sharding p align center img src http i imgur com wu8x5id png br i a href http www slideshare net jboner scalability availability stability patterns source scalability availability stability patterns a i p sharding ph n t n d li u xuy n su t c c database kh c nhau nh m i database gi m t ph n c a d li u l y user database l m v d n u c ng nhi u user c ng nhi u shard s c th m v o cluster t ng t nh u i m c a federation sharding k ch c index c gi m i c i thi n hi u n ng v truy v n nhanh h n n u m t shard s p c c shard kh c v n h at ng m c d b n v n c n nh n b n tr nh m t m t d li u nh federation b n c th ghi m t c ch song song b n c th d ng h ho c v tr a l shard m t b ng c nhi u ng i d ng nh c i m sharding c n c p nh t l i logic d li u c th b l m shard v d s c nhi u request v o m t shard trong khi c c shard kh c r nh r i c n b ng l i y u c u th m ph c t p m t h m cho sharding d a tr n consistent hashing http www paperplanes de 2011 12 9 the magic of consistent hashing html c th gi m hi u l ng d li u ph i di chuy n qua l i khi c thay i join t nhi u shard c th ph c t p sharding y u c u th m ph n c ng v ph c t p ngu n v t i li u c th m sharding the coming of the shard http highscalability com blog 2009 8 6 an unorthodox approach to database design the coming of the html shard database architecture https en wikipedia org wiki shard database architecture consistent hashing http www paperplanes de 2011 12 9 the magic of consistent hashing html denormalization denormalization m c ti u l t i u h a c b ng m t v i chi ph cho vi c ghi c c b n copy th a c a d li u c th m v o c c b ng h n ch nhi u l nh join m t v i rdbms nh postgresql https en wikipedia org wiki postgresql v oracle cung c p materialized views https en wikipedia org wiki materialized view x l c ng vi c l u tr d th a v gi ch ng nh t qu n m t khi d li u ph n t n t c c k thu t nh federation federation v sharding sharding vi c join s r t ph c t p denormalization s gi m thi u vi c ph i join m t c ch ph c t p h u h t c c h th ng vi c c th ng g p 100 th m ch 1000 1 vi c ghi vi c c l i y u c u c c ph p join t n k m t n m t kho ng th i gian l n cho vi c truy xu t nh c i m denormalization d li u b tr ng l p ph i ng b h a d th a thi t k database ph c t p h n kh ng s d ng cho c c ng d ng c l ng ghi l n ngu n v t i li u c th m denormalization denormalization https en wikipedia org wiki denormalization sql tuning sql 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decimal cho n v ti n t tr nh s d ng blobs l n thay v o l u a ch c a t i nguy n varchar 255 l s k t l n nh t c th m c b ng s 8 bit th ng t i a h a vi c s d ng byte trong m t s rdbms set not null c c tr ng c th d ng t ng hi u n ng improve search performance http stackoverflow com questions 1017239 how do null values affect performance in a database search s d ng vi c nh ch s t t c t m b n truy v n select group by order by join c th nhanh h n nh index index th ng c bi u di n d i d ng c y c n b ng b tree https en wikipedia org wiki b tree gi a cho d li u c s p x p t m ki m truy c p tu n t th m v x a ph c t p logarit vi c index y u c u th m kh ng gian l u tr vi c vi t c th ch m h n n u d ng index khi loading m t l ng l n d li u c th nhanh h n n u v hi u h a index load d li u sau x y d ng l i index tr nh join denormalize khi hi u n ng y u c u n n ph n m nh b ng chia b ng b ng c ch t c c i m n ng trong m t b ng ri ng bi t gi p gi n trong memory i u ch nh query cache trong m t v i tr ng h p query cache http dev mysql com doc refman 5 7 en query cache c th d n n c c v n v hi u n ng https www percona com blog 2014 01 28 10 mysql performance tuning settings after installation ngu n v t i li u c th m sql tuning tips for optimizing mysql queries http 20bits com article 10 tips for optimizing mysql queries that dont suck is there a good reason i see varchar 255 used so often http stackoverflow com questions 1217466 is there a good reason i see varchar255 used so often as opposed to another l how do null values affect performance http stackoverflow com questions 1017239 how do null values affect performance in a database search slow query log http dev mysql com doc refman 5 7 en slow query log html c s d li u nosql list of nosql databases http nosql database org nosql is l m t t p c c d li u c bi u hi n theo c ch key value store document store wide column store ho c l m t graph database d li u l kh ng chu n h a v ph p join c s d ng m c code h u h t ch ng kh ng d ng acid m d ng eventual consistency eventual consistency base th ng c d ng trong nosql theo cap theorem cap theorem base ch n t nh s n s ng cao h n t nh nh t qu n basically available h th ng m b o t nh s n s ng soft state tr ng th i c th thay i theo th i gian k c kh ng c input eventual consistency h th ng s nh t qu n sau m t kho ng th i gian nh t nh th m v o ch n sql hay nosql sql or nosql r t h u ch hi u c nosql ph h p v i ca s d ng n o nh t ch ng t i s review key value stores document stores wide column stores v graph databases ph n ti p theo key value store abstraction b ng b m hash table m t csdl key value th ng th ng cho ph c t p o 1 cho vi c c ghi v th ng c s d ng tr n ram ho c ssd t i u h a t c csdl c th duy tr kh a theo th t t i n lexicographical order https en wikipedia org wiki lexicographical order cho ph p truy xu t hi u qu c c v ng kh a key range n c th cho ph p l u gi tr value d i d ng si u d li u metadata csdl cung c p hi u n ng cao v th ng c s d ng cho m h nh d li u n gi n ho c c c d li u thay i nhanh v d nh c c d li u c l u l p in memory cache b i v ch ng ch cung c p m t t p h u h n c c to n t c c to n t ph c t p s c chuy n n l p application csdl key value l n n t ng cho c c h th ng ph c t p h n nh csdl d ng document v trong m t s tr ng h p l graph database ngu n v t i li u c th m key value store key value database https en wikipedia org wiki key value database disadvantages of key value stores http stackoverflow com questions 4056093 what are the disadvantages of using a key value table over nullable columns or redis architecture http qnimate com overview of redis architecture memcached architecture https www adayinthelifeof nl 2011 02 06 memcache internals document store abstraction key value store v i documents c l u nh m t gi tr m t document store l y v n b n document l m trung t m xml json binary m t document c th l u m i th ng tin c a m t i t ng document stores cung c p c c api ho c m t ng n ng truy v n truy v n d a tr n c u tr c n i t i c a v n b n ghi ch nhi u key value store c bao g m c c t nh n ng l m vi c v i si u d li u l m m ranh gi i gi a 2 lo i csdl d a tr n ph n c i t ph a d i v n b n c t ch c d i d ng c c collection tag metadata ho c directorie m c d c c v n b n c th c t ch c ho c nh m l i v i nhau v n b n c th ch a c c tr ng kh c ho n to n v i ph n c n l i m t v i csdl n i ti ng nh mongodb https www mongodb com mongodb architecture v couchdb https blog couchdb org 2016 08 01 couchdb 2 0 architecture cung c p ng n ng truy v n gi ng sql dynamodb http www read seas harvard edu kohler class cs239 w08 decandia07dynamo pdf cung c p c d ng key value v document document stores cung c p linh ho t cao v th ng c d ng v i nh ng lo i d li u ph i thay i t ng t ngu n v t i li u c th m document store document oriented database https en wikipedia org wiki document oriented database mongodb architecture https www mongodb com mongodb architecture couchdb architecture https blog couchdb org 2016 08 01 couchdb 2 0 architecture elasticsearch architecture https www elastic co blog found elasticsearch from the bottom up wide column store p align center img src http i imgur com n16iogk png br i a href http blog grio com 2015 11 sql nosql a brief history html source sql nosql a brief history a i p abstraction nested map columnfamily rowkey columns colkey value timestamp n v d li u c b n c a wide column store l m t c t c p name value m t c t c th c nh m v o m t h c c c t column family t ng t nh m t b ng b n sql super column family l s nh m l i c a c c column family b n c th truy c p m i c t m t c ch c l p v i m t row key v c c c t v i c ng m t row key t o th nh m t d ng m i gi tr bao g m m t timestamp cho vi c t o phi n b n versioning v gi i quy t c c sung t google gi i thi u bigtable http www read seas harvard edu kohler class cs239 w08 chang06bigtable pdf nh l wide column store u ti n n t c ng t i d n open source hbase https www mapr com blog in depth look hbase architecture th ng c s d ng trong h sinh th i hadoop v cassandra http docs datastax com en archived cassandra 2 0 cassandra architecture architectureintro c html t facebook c c csdl v d nh bigtable hbase v cassandra duy tr kh a theo th t b ng ch c i wide column stores cung c p t nh s n s ng v m r ng cao ch ng th ng c s d ng gi i quy t l ng d li u r t l n ngu n v t i li u c th m wide column store sql nosql a brief history http blog grio com 2015 11 sql nosql a brief history html bigtable architecture http www read seas harvard edu kohler class cs239 w08 chang06bigtable pdf hbase architecture https www mapr com blog in depth look hbase architecture cassandra architecture http docs datastax com en archived cassandra 2 0 cassandra architecture architectureintro c html graph database p align center img src http i imgur com fncl65g png br i a href https en wikipedia org wiki file graphdatabase propertygraph png source graph database a i p abstraction graph trong csdl th graph database m i n t node l m t b n ghi v m i c nh l m t quan h relationship gi a hai n t graph databases c t i u cho vi c bi u di n d li u v i c c quan h ph c t p v i r t nhi u kh a ngo i hay quan h nhi u nhi u graphs databases cung c p hi u n ng cao cho m h nh d li u v i c c quan h ph c t p v d m ng x h i ch ng t ng i m i v ch a c s d ng r ng r i s kh h n cho b n trong vi c t m t i nguy n hay c ng c ph t tri n nhi u csdl d ng n y ch c th truy c p qua rest apis representational state transfer rest ngu n v t i li u c th m graph graph database https en wikipedia org wiki graph database neo4j https neo4j com cql https neo4j com developer cypher query language flockdb https blog twitter com 2010 introducing flockdb ngu n v t i li u c th m nosql explanation of base terminology http stackoverflow com questions 3342497 explanation of base terminology nosql databases a survey and decision guidance https medium com baqend blog nosql databases a survey and decision guidance ea7823a822d wskogqenq scalability http www lecloud net post 7994751381 scalability for dummies part 2 database introduction to nosql https www youtube com watch v qi g07c q5i nosql patterns http horicky blogspot com 2009 11 nosql patterns html sql hay nosql p align center img src http i imgur com wxgqg5f png br i a href https www infoq com articles transition rdbms nosql source transitioning from rdbms to nosql a i p l do cho sql d li u c c u tr c schema ch t ch d li u c t nh quan h cao c n c c ph p n i ph c t p c n n transaction m b o acid c c m u r r ng cho vi c m r ng c h tr nhi u h n t developers community code tools tra c u tr n index r t nhanh l do cho nosql d li u c t nh b n c u tr c schema ng v linh ho t d li u t c t nh quan h kh ng c n c c ph p n i ph c t p l u d li u nhi u n m tb pb c n ch u t i r t l n c n th ng l ng cao cho iops c c d li u m u th ch h p cho nosql rapid ingest of clickstream and log data leaderboard or scoring data temporary data such as a shopping cart frequently accessed hot tables metadata lookup tables ngu n v t i li u c th m sql or nosql scaling up to your first 10 million users https www youtube com watch v vg5onp8tu6q sql vs nosql differences https www sitepoint com sql vs nosql differences cache p align center img src http i imgur com q6z24la png br i a href http horicky blogspot com 2010 10 scalable system design patterns html source scalable system design patterns a i p caching c i thi n th i gian t i trang v gi m thi u vi c ph i t ng t c v i database c a server m h nh n y b i u ph i dispatcher tr c ti n s tra c u n u request c th c hi n tr c v c g ng t m k t q a tr c tr l i ti t ki m th i gian th c thi c s d li u th ng ho t ng t t nh vi c ph n ph i ng u c c l n c ghi tr n c c ph n v ng c a n c c item ph bi n s l m m t c n b ng ph n ph i g y ngh n c trai a m t b nh m cache ph a tr c c s d li u c th gi i quy t v n t i kh ng u v s t ng t bi n l ng truy c p client caching caches c th c t b n ph a client h i u h nh ho c tr nh duy t server side reverse proxy ho c m t l p b nh m kh c cdn caching cdns content delivery network c coi l m t lo i b nh cache web server caching reverse proxies reverse proxy web server v cache v d nh varnish https www varnish cache org c th ph c v tr c ti p c c n i dung t nh v ng web servers c n c th cache l i request tr v responses m kh ng c n giao ti p v i application server database caching c s d li u th ng bao g m m t v i m c cache c u h nh m c nh t i u h a cho vi c s d ng chung nh t tinh ch nh c c c u h nh n y cho c c tr ng h p s d ng c th c th l m t ng th m hi u su t application caching in memory caches v d nh memcached v redis l c c gi tr key value gi a ng d ng v your data storage b i v d li u c gi tr n ram n s nhanh h n r t nhi u so v i d li u c l y t database l u tr n a dung l ng ram h n ch h n dung l ng a v v y thu t to n cache invalidation https en wikipedia org wiki cache algorithms v d least recently used lru https en wikipedia org wiki cache algorithms least recently used c th b c c d li u t d ng v gi l i c c d li u th ng xuy n c s d ng tr n ram redis c c c t nh n ng b sung d i y t y ch n l u tr l u d i persistence option c u tr c d li u d ng s n v d nh sorted sets v list c nhi u m c cache c x p v o hai lo i ch nh database queries v objects row level query level fully formed serializable objects fully rendered html th ng th ng b n n n c tr nh cache tr n t p v n l m cho vi c nh n b n v t ng m r ng tr n n kh kh n h n caching at the database query level b t k khi n o b n truy v n b m truy v n th nh m t kh a v l u k t qu v o cache c ch ti p c n n y c nh ng v n sau kh x a c c d li u cache v i truy v n ph c t p n u m t m nh d li u thay i v d nh m t tr n b ng b n ph i x a to n b c c truy v n cache c ch a b thay i caching at the object level coi d li u nh c c i t ng t ng t v i vi c b n l m v i m ngu n have your application assemble the dataset from the database into a class instance or a data structure s x a i t ng n u d li u m c d i c s thay i cho ph p x l b t ng b workers t p h p c c i t ng b ng c ch ti u th c c i t ng c cache g n nh t g i c c th nh ph n n n cache user sessions fully rendered web pages activity streams user graph data khi n o n n c p nh t cache b i v b n ch c th l u m t l ng gi i h n d li u trong cache b n c n ch n chi n l c c p nh t ph h p v i tr ng h p c a m nh cache aside p align center img src http i imgur com onjorqk png br i a href http www slideshare net tmatyashovsky from cache to in memory data grid introduction to hazelcast source from cache to in memory data grid a i p h th ng ch u tr ch nhi m c v ghi t b nh b nh m kh ng tr c ti p t ng t c v i c s d li u h th ng s l m nh ng vi c sau tra c u entry trong cache n u cache miss t i entry l n t a th m entry v o cache tr v entry def get user self user id user cache get user 0 user id if user is none user db query select from users where user id 0 user id if user is not none key user 0 format user id cache set key json dumps user return user memcached https memcached org th ng c d ng trong tr ng h p n y c tu n t d li u c th m v o cache th nhanh cache aside c ng c g i l lazy loading ch nh ng d li u y u c u m i c cache tr nh a v o cache nh ng d li u kh ng c y u c u write through p align center img src http i imgur com 0vbc0hn png br i a href http www slideshare net jboner scalability availability stability patterns source scalability availability stability patterns a i p h th ng s d ng cache nh m t n i l u tr ch nh c v ghi d li u l n n trong khi cache ng vai tr c v ghi d li u tr n database h th ng th m s a entry tr n cache cache ghi m t c ch ng b l n tr v k t qu application code set user 12345 foo bar cache code def set user user id values user db query update users where id 0 user id values cache set user id user write through l ch m tr n t ng th do thao t c ghi nh ng c tu n t tr n c c d li u v a c ghi l nhanh ng i d ng th ng d ch p nh n tr cho c p nh t d li u h n l khi c d li u d li u trong cache kh ng b c write behind write back p align center img src http i imgur com rgsrvjg png br i a href http www slideshare net jboner scalability availability stability patterns source scalability availability stability patterns a i p trong write behind ng d ng s l m c c b c sau th m c p nh t v o cache ghi b t ng b ra database c i thi n hi u n ng ghi nh c i m write behind c th m t m t d li u n u d li u m i ch c ghi v o cache m ch a c ghi v o data c i t c th kh h n write through ho c cache aside refresh ahead p align center img src http i imgur com kxtjqge png br i a href http www slideshare net tmatyashovsky from cache to in memory data grid introduction to hazelcast source from cache to in memory data grid a i p b n c th c u h nh cache l m m i t ng c c entry c truy c p g n y tr c th i gian n h t h n refresh ahead c th gi m tr v i read through n u cache c th d o n ch nh x c item n o c th c truy c p trong t ng lai b t l i refresh ahead vi c ti n o n c th l m nh h ng n hi u n ng nh c i m cache c n m b o th ng tin l ng v nh t qu n gi a cache v database c c gi i thu t v cache https en wikipedia org wiki cache algorithms c n thay i ng d ng n u th m redis hay memcache chi n l c c p nh t cache l t ng i kh v c s c th cho c c ng d ng kh c nhau ngu n v t i li u c th m from cache to in memory data grid http www slideshare net tmatyashovsky from cache to in memory data grid introduction to hazelcast scalable system design patterns http horicky blogspot com 2010 10 scalable system design patterns html introduction to architecting systems for scale http lethain com introduction to architecting systems for scale scalability availability stability patterns http www slideshare net jboner scalability availability stability patterns scalability http www lecloud net post 9246290032 scalability for dummies part 3 cache aws elasticache strategies http docs aws amazon com amazonelasticache latest userguide strategies html wikipedia https en wikipedia org wiki cache computing b t ng b asynchronism p align center img src http i imgur com 54gyssx png br i a href http lethain com introduction to architecting systems for scale platform layer source intro to architecting systems for scale a i p c c lu ng l m vi c b t ng b asynchronous workflow gi p gi m thi u th i gian y u c u cho nh ng t c v t n t i nguy n m b nh th ng ch ng c x l ng b ch ng c ng gi p b ng c ch l m nh ng vi c t n th i gian tr c v d nh t p h p d li u m t c ch nh k message queues message queues nh n gi v v n chuy n c c tin nh n n u m t t c v m t nhi u th i gian x l m t c c ng b b n c th d ng m t message queue v i lu ng c ng vi c d i y m t ng d ng c ng b publish m t c ng vi c n h ng i sau th ng b o cho ng i d ng tr ng th i c a coong vi c m t worker l y pick up c ng vi c t hang i x l n sau th ng b o l c ng vi c ho n th nh ng i d ng kh ng i cho n khi c ng vi c x l xong v c ng vi c c x l d i n n trong su t th i gian n y ph a client c th l m m t ch t x l nh l m nh c ng vi c x u l xong v d n u ng l n tweet tweet s ngay l p t c c a l n timeline nh ng c th ph i m t m t ch t th i gian tweet c a b n th c s c a n nh ng ng i theo d i redis l h u d ng n m t message broker n gi n nh ng tin nh n c th b m t rabbitmq ph bi n nh ng y u c u b n l m cho h th ng t ng th ch v i giao th c amqp v qu n l c c node c a b n amazon sqs c t ch c hosted nh ng c tr cao v c th tin nh n s c g i i n hai l n l p task queues c c tasks queue nh n c c task v nh ng d li u li n quan ch y ch ng sau chuy n i c c k t qu c a ch ng task queue h tr l p l ch c c th ch y c c c ng vi c i h i t nh to n nhi u trong n n celery h tr l p l ch v ch y u h tr python back pressure n u c c h ng i l n l n ng k k ch c h ng i c th l n h n b nh d n n cache mis c t a v hi u n ng ch m i ng k back pressure http mechanical sympathy blogspot com 2012 05 apply back pressure when overloaded html c th gi i h n k ch c h ng i qua duy tr m t t l b ng th ng cao v th i gian ph n h i t t cho c c c ng vi c c trong h ng i khi m h ng i y client s nh n ph n h i b n t server ho c m tr ng th i http 503 th l i l n n a client c th th request sau c th v i exponential backoff https en wikipedia org wiki exponential backoff nh c i m asynchronism c c ca s d ng nh c c t nh to n nh v c c lu ng x l th i gian th c c th s th ch h p h n n u d ng x l ng b trong khi x l b t ng b c th ch m v ph c t p ngu n v t i li u c th m it s all a numbers game https www youtube com watch v 1kryh75wgy4 applying back pressure when overloaded http mechanical sympathy blogspot com 2012 05 apply back pressure when overloaded html little s law https en wikipedia org wiki little 27s law what is the difference between a message queue and a task queue https www quora com what is the difference between a message queue and a task queue why would a task queue require a message broker like rabbitmq redis celery or ironmq to function communication p align center img src http i imgur com 5keocqs jpg br i a href http www escotal com osilayer html source osi 7 layer model a i p hypertext transfer protocol http transmission control protocol tcp user datagram protocol udp remote procedure call rpc p align center img src http i imgur com if4mkb5 png br i a href http www puncsky com blog 2016 02 14 crack the system design interview source crack the system design interview a i p trong rpc m t client t o n n m t th t c c th c th c thi m t a ch kh c th ng l server t xa th t c c m h a nh th n l m t cu c g i c c b tr u t ng h a c c c ng o n c th l m th n o server li n l c v i client g i t xa th ng ch m h n v t ph thu c h n so v i g i c b n n n r t h u d ng ph n bi c m t rpc call hay cu c g i c c b rpc frameworks ph bi n bao g m protobuf https developers google com protocol buffers thrift https thrift apache org v avro https avro apache org docs current rpc l m t giao th c request response client program g i stub procedure b n client tham s c th m v o ng n x p nh l g i th t c c c b client stub procedure marshals g i id v c c tham s c a th t c v o m t request mesage client communication module h i u h nh g i mesage t client l n server server communication module h i u h nh chuy n message n stub procedure b n server server stub procedure unmarshalls gi i n n k t qu g i c c th t c ph a server ph h p v i id c a th t c c g i n v truy n v o c c tham s nh n c server ph n h i b ng c ch l p l i c c b c tr n th t ng c l i g i rpc m u get someoperation data anid post anotheroperation data anid anotherdata another value rpc t p trung v o c c h nh vi rpc th ng c s d ng cho v n v hi u n ng v i nh ng giao ti p n i t i v b n c th g i b n a native call m t c ch th c ng ph h p h n v i ca s d ng kh c rest ch n m t native library aka sdk khi b n bi t n n t ng nh m t i b n mu n ki m so t logic c truy c p nh th n o b n mu n ki m so t c ch ki m so t l i x y ra nh th n o trong th vi n c a b n hi u n ng v tr i nghi m ng i d ng cu i l i u lo l ng ch nh c a b n http api d i y rest c xu h ng c s d ng nhi u h n cho public api nh c i m rpc rpc client c li n k t ch t ch v i vi c c i t ph a server m t api m i s ph i nh ngh a l i cho t t c t c v ho c ca s d ng kh c th debug rpc you c th kh ng c kh n ng n ng c p c c c ng ngh ang c v d c th y u c u th m n l c ch c ch n rpc call c cache http etherealbits com 2012 12 debunking the myths of rpc rest server cache nh squid http www squid cache org representational state transfer rest rest is l m t ki u ki n tr c thi h nh m t m h nh client server m client th c hi n h nh vi tr n m t t p c c t i nguy n c qu n l b i server server cung c p m t i di n cho t i nguy n v h nh vi m c th c v n d ng c ng nh l y m t i di n m i c a c c t i nguy n t t c giao ti p ph i l stateless v c th cache c c 4 ti u ch ch t l ng cho m t giao di n restful x c nh t i nguy n uri trong http s d ng c ng m t uri cho b t k t c v n o thay i v i representations verbs trong http s d ng verb header and body self descriptive error message status response trong http s d ng status code ng ph t minh l i chi c b nh xe hateoas http restcookbook com basics hateoas html interface for http web service c a b n n n c truy c p y trong m t tr nh duy t m u cho vi c s d ng rest get someresources anid put someresources anid anotherdata another value rest l i t p trung v o vi c ph i b y expose d li u t i hi u h a s li n k t gi client server v th ng c s d ng trong c c public http api rest s d ng method m t c ch chu n m c v chung chung h n th ng qua api i di n th ng qua header https github com for get know your http well blob master headers md v c c h nh vi th ng qua verbs nh get post put delete v patch l stateless rest l r t tuy t cho vi c m r ng theo chi u ngang v ph n m nh nh c i m rest v i vi c rest t p trung v o d li u c ph i b y exposing data n c th kh ng ho n to n t ng th ch n u t i nguy n kh ng c t ch c theo nguy n t c ho c c truy c p d i d ng ph n c p n gi n v d tr v t t c c c b n ghi c c p nh t t gi tr c match v i m t t p c c s ki n kh ng d th hi n v i m t ng d n v i rest n nh l m t s c i t v i s k t h p c a ng d n uri query parameter v c th c n request body n a rest th ng th ng ph thu c v o m t v i verbs get post put delete v patch i khi kh ng ph h p v i ca s d ng c a b n v d chuy n m t t i li u h t h n n m t th m c c th kh ng ho n to n ph h p v i nh ng verb n y vi c n p c c t i nguy n ph c t p v i ph n c p l ng nhau y u c u nhi u l n k t n i gi a client v server render m t giao di n v d n p n i dung cho m t blog v b nh lu n cho blog i v i c c thi t b di ng ho t ng tr n m i tr ng m ng b t n vi c n y s c v n theo th i gian nhi u tr ng c th m v o api response v c c client c ph i nh n th m c c tr ng d li u m i n y m c cho ch ng kh ng h c n c c tr ng nh m t h qu n l m t ng k ch th c c a payload v d n n tr gia t ng so s nh rpc and rest operation rpc rest signup post signup post persons resign post resign br br personid 1234 br delete persons 1234 read a person get readperson personid 1234 get persons 1234 read a person s items list get readusersitemslist personid 1234 get persons 1234 items add an item to a person s items post additemtousersitemslist br br personid 1234 br itemid 456 br post persons 1234 items br br itemid 456 br update an item post modifyitem br br itemid 456 br key value br put items 456 br br key value br delete an item post removeitem br br itemid 456 br delete items 456 p align center i a href https apihandyman io do you really know why you prefer rest over rpc source do you really know why you prefer rest over rpc a i p ngu n v t i li u c th m rest and rpc do you really know why you prefer rest over rpc https apihandyman io do you really know why you prefer rest over rpc when are rpc ish approaches more appropriate than rest http programmers stackexchange com a 181186 rest vs json rpc http stackoverflow com questions 15056878 rest vs json rpc debunking the myths of rpc and rest http etherealbits com 2012 12 debunking the myths of rpc rest what are the drawbacks of using rest https www quora com what are the drawbacks of using restful apis crack the system design interview http www puncsky com blog 2016 02 14 crack the system design interview thrift https code facebook com posts 1468950976659943 why rest for internal use and not rpc http arstechnica com civis viewtopic php t 1190508 b o m t security ph n n y s c n c p nh t th m b o m t l m t ch r t r ng n n y ch n u m t v i v n c b n m h a trong chuy n ti p c ng nh trong l u tr kh c sanitize t t c u v o c a ng i d ng tr nh t n c ng xss https en wikipedia org wiki cross site scripting v sql injection https en wikipedia org wiki sql injection s d ng c c truy v n c th truy n tham s tr nh sql injection c c th vi n u h tr t t h n l n n d ng orm s d ng nh l least privilege https en wikipedia org wiki principle of least privilege n n d ng c c quy lu t ch t ch ph n quy n tr n c c ti n tr nh v t i nguy n ngu n v t i li u c th m security security guide for developers https github com fallibleinc security guide for developers owasp top ten https www owasp org index php owasp top ten cheat sheet b sung v authentication b ng token s d ng jwt cho vi c nh danh authentication p align center img src https cdn auth0 com blog cookies vs tokens cookie token auth png br i a href https auth0 com blog cookies vs tokens definitive guide source auth0 a i p l i th c a jwt hay token based authentication n i chung phi tr ng th i stateless kh n ng m r ng scalable v t ch bi t decoupled c l l i th l n nh t c a jwt so v i d ng session l phi tr ng th i server kh ng ph i l u l i b n ghi c a token m ch c n x c nh n token y c h p l hay kh ng b n th n token n mang c c th ng tin c n thi t r i cross domain v cors session s g p kh kh n khi ph i qu n l nhi u domain kh c nhau jwt c th x l v n n y store data in the jwt jwt c th l u l i b t k d li u n o n u n l m t json h p l b n c th l u l i c c th ng tin c n thi t cho h th ng c a b n hi u n ng t nh ng l i th tr n ta s c l i th v hi u n ng khi d ng session th ng th ng server ph i m m t ho c nhi u k t n i t m ki m trong csdl trong khi d ng token th b n ch c n m k t n i khi c n l y d li u m th i t t c th ng tin v authentication c ng nh authorization u c l u trong jwt mobile ready kh ng ph i thi t b n o c ng h tr t t cho cookie jwt l m t s thay th kh ng t i l m c ch n o v hi u h a m t jwt cho vi c ng xu t c ng nh h y ng nh p t c c thi t b kh c x y d ng m t danh s ch en blacklist c c jwt b v hi u h a set th i gian s ng cho m i jwt th t ng n sau refresh l i token v o m c th i gian c n thi t ngu n v t i li u c th m jwt cookies vs tokens the definitive guide https auth0 com blog cookies vs tokens definitive guide stop using jwt for sessions http cryto net joepie91 blog 2016 06 13 stop using jwt for sessions c c ki u t n c ng web ph bi n owasp top ten cheat sheet https www owasp org index php owasp top ten cheat sheet t ng l a ng d ng web ruled base blacklist anormaly detection whitelist todo 1 centralized vs decentralized vs distributed 2 apache vs nginx 3 redis architecture 4 zoo keeper etcd | os |
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flask-argon-design-system | flask app argon design https appseed us apps flask apps flask argon design system open source web app coded in flask framework https palletsprojects com p flask on top of argon design system design free version provided by appseed web app generator https appseed us app generator app features ui ready sqlite database sqlalchemy orm session based authentication flow login register forms validation ui kit argon design system https flask argon design system appseed us login html free version provided by creative tim mit license support free support via github and paid 24 7 live support via discord https discord gg fzc6hup br app links flask argon design https appseed us apps flask apps flask argon design system product page flask argon design https docs appseed us apps flask apps flask argon design system documentation flask argon design https flask argon design system appseed us login html live demo br want more go pro pro versions include premium ui kits lifetime updates and 24 7 live support via discord https discord gg fzc6hup flask dashboard material pro https appseed us admin dashboards flask dashboard material pro flask dashboard dashkit pro https appseed us admin dashboards flask dashboard dashkit pro flask dashboard black pro https appseed us admin dashboards flask dashboard black pro flask dashboard material pro https raw githubusercontent com app generator static master products flask dashboard material pro screen png https appseed us admin dashboards flask dashboard material pro flask dashboard dashkit pro https raw githubusercontent com app generator static master products flask dashboard dashkit pro screen png https appseed us admin dashboards flask dashboard dashkit pro flask dashboard black pro https raw githubusercontent com app generator static master products flask dashboard black pro screen png https appseed us admin dashboards flask dashboard black pro br br flask argon design open source web app https raw githubusercontent com app generator static master products flask argon design system screen png br build from sources bash clone the sources git clone https github com app generator flask argon design system git cd flask argon design system virtualenv modules installation unix based systems virtualenv no site packages env source env bin activate virtualenv modules installation windows based systems virtualenv no site packages env env scripts activate install requirements pip3 install r requirements txt set the flask app environment variable unix mac export flask app run py windows set flask app run py powershell env flask app run py set up the debug environment unix mac export flask env development windows set flask env development powershell env flask env development run the application host 0 0 0 0 expose the app on all network interfaces default 127 0 0 1 port 5000 specify the app port default 5000 flask run host 0 0 0 0 port 5000 access the app in browser http 127 0 0 1 5000 br credits links br flask framework https www palletsprojects com p flask flask what is flask is a micro web framework written in python it is classified as a microframework because it does not require particular tools or libraries it has no database abstraction layer form validation or any other components where pre existing third party libraries provide common functions br argon design system https www creative tim com product argon design system free and open source design system for bootstrap4 argon design system is built with over 100 individual components giving you the freedom of choosing and combining all components can take variations in color that you can easily modify using sass files start your development with a design system for bootstrap 4 it is open source free and it features many components that can help you create amazing websites provided by creative tim br flask app argon design https appseed us apps flask apps flask argon design system provided by appseed web app generator https appseed us app generator | flask argon-design open-source appseed web-app-generator | os |
MediBox | medibox a medibox is a tool that is used to remind users to take their medications at the appointed times and to store medications appropriately according to the rules first stage we developed a menu which is able to set time zone by taking the offset from utc as input ability to set 3 alarms ability to disable all three alarms at once three buttons were used to navigate the display and to set the time and the time zone an oled display is used to display the current time and to display the menu option when the push button is clicked because the chosen time zone is fetched from the ntp server over wi fi the esp32 microcontroller which has an integrated bluetooth and wi fi module is used for this device we need to constantly monitor the temperature and the humidity inside the device to store the medical drugs under the given conditions for this a dht22 temperature and humidity sensor is used a buzzer and an led are utilized to notify the user of the medical intake time and to warn them of any unfavorable conditions inside the device second stage this stage attempts to improve medibox s fundamental functions and add new features to increase the device s utility it is essential to monitor light intensity when storing certain medicines as they may be sensitive to sunlight for this an ldr sensor is used a shaded sliding window has been installed to prevent excessive light from entering the medibox the shaded sliding window is connected to a servo motor responsible for adjusting the light intensity entering the medibox the following equation represents the relationship between the motor angle and the intensity of light entering the medibox offset 180 offset i where is the motor angle offset is the minimum angle default value of 30 degrees i is the intensity of light ranging from 0 to 1 is the controlling factor default value of 0 75 different medicines may have different requirements for the minimum angle and the controlling factor used to adjust the position of the shaded sliding window to enable the user to adjust the minimum angle and controlling factor node red dashboard is created in addition i have implemented a dashboard to display the temperature and humidity and another dashboard to change the alarm time schedules wokwi simulation https wokwi com projects 367664700625807361 wokwi https github com chamod kavinda medibox assets 129760133 7d17adc1 0e60 4faf 911c 1e53c07fa2c0 dashboard dashboard https github com chamod kavinda medibox assets 129760133 53251433 091d 4f7b 84ab 4e52ca24e0f7 | os |
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Hello-Morse-OpenCV | morse code computer vision what is morse code morse code encodes the iso basic latin alphabet some extra latin letters the arabic numerals and a small set of punctuation and procedural signals prosigns as standardized sequences of short and long signals called dots and dashes or dits and dahs as in amateur radio practice inspiration inspired from google s experiment about how they used morse code to help differently abled people to communicate efficiently we decided to implement morse code translator using computer vision which isn t that better but a cheaper option working this project translates morse code in plain english we used webcam to read blinking of the eyes as dots and dashes which then with the use of a dictionary converts morse to english file morse converter py contains the python dictionary for reference we have also included the poster cards to learn morse better short blink dot long blink dash long long blink removes the last dot or dash requirements opencv https pypi org project opencv python imutils https github com jrosebr1 imutils dlib https pypi org project dlib scipy https www scipy org | opencv open-source python python-3 morse-code html javascript css flask | ai |
Google-Flutter-Mobile-Development-Quick-Start-Guide | google flutter mobile development quick start guide a href https prod packtpub com in application development google flutter mobile development quick start guide utm source github utm medium repository utm campaign 9781789344967 img src https prod packtpub com media catalog product cache a22c7d190d97ca25f5f1089471ab8502 b 1 b11253 png alt google flutter mobile development quick start guide height 256px align right a this is the code repository for google flutter mobile development quick start guide https prod packtpub com in application development google flutter mobile development quick start guide utm source github utm medium repository utm campaign 9781789344967 published by packt get up and running with ios and android mobile app development what is this book about flutter is a cross platform mobile application development framework it uses the dart programming language which was created by google and aims to make development easier faster and more efficient this book is going to be your guide from introducing flutter to successfully developing a cross platform application this book covers the following exciting features take a tour through the widget catalog route and navigate through the widgets use listview and scroll widgets gain knowledge on networking with flutter and dart build and publish plugins to pub dart com if you feel this book is for you get your copy https www amazon com dp 1789344964 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 void main debugpaintsizeenabled true runapp myapp following is what you need for this book this book is for developers who are willing to learn flutter and develop cross platform applications with the following software and hardware list you can run all code files present in the book chapter 1 15 software and hardware list chapter software required os required 2 7 git firebase node js flutter windows mac os x and linux any related products other books you may enjoy react and react native packt https prod packtpub com in web development react and react native utm source github utm medium repository utm campaign 9781786465658 amazon https www amazon com dp 1786465655 react native cookbook packt https prod packtpub com in application development react native cookbook utm source github utm medium repository utm campaign 9781786462558 amazon https www amazon com dp 1786462559 get to know the authors prajyot mainkar is the director of androcid a mobile app development company based in india the company builds ui ux and mobile apps for clients he has been recognized as an intel innovator prajyot has been an avid programmer and speaker at over 300 mobile developer conferences across the globe including android developer days in turkey droidcon greece droidcon india and many more he is the chairman of the it young entrepreneurship forum at the goa chamber of commerce and industry he has been awarded the title of young entrepreneur of the year by business goa and the gems trailblazer award for his contributions to the field of information technology he is on board as an adviser to many incubation centers across india salvatore giordano is a 23 year old software engineer from italy he currently works as a mobile and backend developer in turin where he attained a bachelor s degree in computer engineering he is member of the google developer group of turin where he often gives talks regarding his experiences he is really passionate about cutting edge technologies always staying up to date with the latest trends he has written many articles on flutter and contributed to the development of a number of plugins and libraries for the framework suggestions and feedback click here https docs google com forms d e 1faipqlsdy7datc6qmel81fiuuymz0wy9vh1jhkvpy57oimekgqib ow viewform if you have any feedback or suggestions | front_end |
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POJOClassesGenerationForHibernate | pojo classes generation for hibernate orm in 1c 8 3 this is a mirror of my 1c 8 3 project originally published at infostart http infostart ru public 359102 description this tool is a 1c enterprise implementation of hibernate reverse engineering for netbeans hibernate reverse engineering standalone and other ide or standalone tools that generate classes for hibernate based on existing database schema it generates entity classes with hibernate annotations from 1c 8 3 database where this tool is launched additionally it generates mapping class strings for hibernate cfg xml target audience this small open source tool will be of a great assistance to you in following cases you are familiar with 1c enterprise rad platform http 1c dn com you want to create a new java enterprise project with hibernate orm framework you don t have a designed database schema in oracle ms sql postgres etc you want to create business entities stored in database tables quickly without spending much time on consistency tasks such as primary keys and so on you have a specification in your native language and you want to translate the entity fields names automatically into english or other language features and limitations of current version hard coded russian to english translation direction string from ru to en in the source code therefore after consulting to bing translator api site you can replace the languages used up to your needs in the source code in 1c designer also you can use english names in fields that will be processed by bing without translation you can convert entities in following 1c enterprise metadata types references enumerations periodic and non periodic tables references with pre defined elements are treated as enumerations documents and composite type fields are not supported object codes 1c built in readable identifiers are converted to hibernate id fields with primitive type long there is an option to include jackson annotations to fields for json serialization jsonproperty jsonmanagedreference jsonbackreference system requirements 1c enterprise full client installation from version 8 3 6 or higher you can use a free trainee version to design database structure https 1c dn com user updates 1c enterprise platform training version hibernate orm framework version 4 3 x dependency in your java project other versions were not tested bing translator api key it is subscription fee free up to 2 mln of translated symbols per month per key | server |
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cot-transparency | seri mats chain of thought transparency build status https github com raybears cot transparency actions workflows main yml badge svg https github com raybears cot transparency actions workflows main yml this repo implements metrics from language models don t always say what they think unfaithful explanations in chain of thought prompting https arxiv org abs 2305 04388 original code https github com milesaturpin cot unfaithfulness and measuring faithfulness in chain of thought reasoning https arxiv org abs 2307 13702 installation install python environment requires python 3 11 4 pyenv we need tkinter hence the extra steps bash brew install pyenv brew install pyenv virtualenv brew install tcl tk bash pyenv install 3 11 4 pyenv virtualenv 3 11 cot pyenv local cot install requirements make env install pre commmit hooks bash make hooks checks to run linting type checks bash make check to run tests bash pytest tests downloading large files we track large files with git lfs to install bash brew install git lfs to download the files git pull should download the lfs files automatically bash git pull we ve set it up to automatically track json files in the project directory to manually track more files run bash git lfs track path to file see here http arfc github io manual guides git lfs for more details running an experiment set your openai api key as openai api key and anthropic key as anthropic api key in a env file to generate examples e g this will compare 20 samples for each task in bbh for sycophancy python python stage one py exp dir experiments dummy run models text davinci 003 formatters zeroshotcotunbiasedformatter zeroshotcotsycophancyformatter repeats per question 1 batch 10 example cap 20 this will create an experiment directory under experiments with json files viewing accuracy to run analysis python python analysis py accuracy exp dir experiments dummy run viewing experiment samples python viewer py exp dir experiments dummy run tip you can pass in n compare 2 to compare 2 samples side by sde streamlit viewer there is a nicer streamlit viewer that can be run with streamlit run streamlit viewer py experiments dummy run note that it currently only works for stage one tasks | ai |
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uport-connect | this repo has been archived in favor of veramo https veramo io the next major iteration of our architecture uport connect will remain available for reference but is no longer maintained the infrastructure backing this library https github com uport project lambda chasqui will be shut down on june 1st if you depend on this repo or have any questions send us an email at hello veramo io for more info check out our medium post https medium com uport veramo uports open source evolution d85fa463db1f | ethereum identity crypto blockchain | front_end |
alexi | alexi information technology and graphics | server |
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intro-to-professional-web-dev | introduction to professional web development in javascript build status https travis ci org launchcodeeducation intro to professional web dev svg branch master https travis ci org launchcodeeducation intro to professional web dev a rel license href http creativecommons org licenses by nc sa 4 0 img alt creative commons license style border width 0 src https i creativecommons org l by nc sa 4 0 88x31 png a br span xmlns dct http purl org dc terms property dct title introduction to professional web development in javascript span by a xmlns cc http creativecommons org ns href https www launchcode org property cc attributionname rel cc attributionurl the launchcode foundation a is licensed under a a rel license href http creativecommons org licenses by nc sa 4 0 creative commons attribution noncommercial sharealike 4 0 international license a | front_end |
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Selly-Oak-Clinic | selly oak clinic database engineering general info starting work on the project we analyzed the described business model of the clinic we divided the work on the project into stages to better systematize our work we started by designing the er diagram and then we transformed it into a relational model the next stage of our work was to implement all previously planned entities together with tables linking each of them with the n m to sqlite3 relation making sure that all the entities are well implemented including the limitations in filling in individual records we moved on to filling in our database with test data the test data we implemented were selected in such a way as to show errors in relations between individual tables there was enough data to check the operation of the database queries to such an extent that it was clearly visible which of the entered records corresponded to specific queries that should not appear in the selected queries and which were limit data checking the accuracy of the entered queries after making sure that the database is working satisfactorily we moved on to the implementation of our database to python 3 along with building a graphic design to make it easier to use we used tkinter for this purpose the individual stages of our work and the assumptions for our database are described in more detail below technologies project is created with python sqlite3 tkinter | server |
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langwhat | langwhat answer what is it on the command line with the power of large language models llms pywhat https github com bee san pywhat llm version leveraging openai api and sydney bing ai chat langwhat langwhat screenshots screenshots openai openai sydney sydney caching caching features features installation installation pipx pipx pip pip usage usage develop develop credits credits screenshots openai bash langwhat f7316ffccd4d2d555a7522328cf792dd73bfbcd9 langwhat f7316ffccd4d2d555a7522328cf792dd73bfbcd9 zh images screenshot hash png sydney sydney fixed my type marry automatically bash langwhat marry ball washington s langwhat marry ball washington s z images screenshot sydney mary png caching responses are much faster when cache hits and token usage becomes 0 note that sydney doesn t support counting token usage and always shows 0 bash lw teddy show token usage lw teddy show token usage images screenshot caching teddy png features uses few shot prompting to reduce model mis behavior english by default for superior response speed and accuracy supports supplying api key via either environment variable or config file at config langwhat api key txt supports using sydney https www bing com search q bing ai showconv 1 with s flag caching responses in a local sqlite database installation pipx this is the recommended installation method pipx install langwhat python 3 11 or higher is required if your pipx uses a lower version of python by default you could run the following command to install langwhat with python 3 11 pipx install python which python3 11 pip https pypi org project langwhat pip install langwhat usage langwhat help usage lw h z s c show token usage v what positional arguments what what is it options h help show this help message and exit z zh use mandarin to prompt and answer s sydney use sydney bing ai instead of openai c no cache disable cache show token usage show token usage v version show program s version number and exit develop git clone https github com tddschn langwhat git cd langwhat poetry install credits langchain edgegpt https github com acheong08 edgegpt yihong https github com yihong0618 iwhat | chatgpt llm openai pywhat sydney edgegpt langchain prompt-engineering few-shot-prompting | ai |
Arduino_RT-Thread | arduino rt thread library this project is forked from rt thread https github com rt thread rt thread an open source rtos and modified for arduino platform i hope this project will release the power of multitasking on arduino platform available drivers driver dependence remark spi iic sd card spi ili9341 lcd spi tested with adafruit 2 8 tft touch shield v2 ft6206 touch screen iic tested with adafruit 2 8 tft touch shield v2 ssd1331 lcd spi tested with tinycircuits s pocket arcade https tinycircuits com products pocket arcade ssd1306 lcd spi tested with a 0 96 oled module available components component dependence remark finsh serial msh finsh fat filesystem chan s fatfs http elm chan org fsw ff 00index e html ulog serial dynamic module arduino app finsh a tiny shell support history support autocompletion support user defined commands support user defined variables msh module shell more in line with unix shell s usage habits smaller memory footprint support history support autocompletion support user defined commands fat filesystem support exfat off by default support long filename off by default support non english characters off by default support opening multiple files 4 by default article a better sd library with rt thread https create arduino cc projecthub onelife a better sd library with rt thread 242130 ulog micro logging system very useful debug tool dynamic module dynamic shared library linker enabled arduino app article arduino app with rt thread https create arduino cc projecthub onelife arduino app with rt thread 96438f supported architectures architecture core remark sam arm cortex m3 tested with arduino due samd arm cortex m0 tested with arduino mkrzero gd32v bumblebee rv32imac tested with longan nano gd32vduino https github com onelife gd32vduino stm32 arm cortex m7 tested with nucleo f767zi license component license rt thread core apache license 2 0 fatfs fatfs bsd like license | arduino rt-thread rtos exfat fat32 ili9341 ft6206 arduino-library | os |
Embedded-System-Design | embedded system design embedded system design with samsung s5pc100 and vpos cpu s5pc100 arm cortex a8 based application processor memory mddr k4x1g163pc l f gc6 64x16 x2 nor flash s29al008d90tfi020 8mb 1mbyte x 8bit 512k x 16bit nand flash k9f4g08uom 512m x 8bit | os |
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wordpress-snippets | useful wordpress snippets for web development below is the list of useful wordpress snippets that you can use when developing with wordpress add featured image to rest api https github com dalenguyen wordpress snippets blob master src get featured image from rest api php get page id from page title https github com dalenguyen wordpress snippets blob master src get page id from page title php fix notice undefined index https github com dalenguyen wordpress snippets blob master src fix php undefined index php get all tags from a post https github com dalenguyen wordpress snippets blob master src get all tags from a post php get anything with page post id https github com dalenguyen wordpress snippets blob master src get anything with page id php add additional mime types to media library https github com dalenguyen wordpress snippets blob master src add additional mime types to media libary php add post images to rss feed https github com dalenguyen wordpress snippets blob master src add post images to rss feed php define excerpt length https github com dalenguyen wordpress snippets blob master src define excerpt length php disable self pingbacks https github com dalenguyen wordpress snippets blob master src disable self pingbacks php embed responsive 16x9 videos https github com dalenguyen wordpress snippets blob master src embed responsive 16 to 9 videos php exit if direct access is made to file https github com dalenguyen wordpress snippets blob master src exit if direct access to file php get number of posts in specified term https github com dalenguyen wordpress snippets blob master src get number of posts in term php get random post suggestion by categories https github com dalenguyen wordpress snippets blob master src get random post suggestion by categories php get random post suggestion by tags https github com dalenguyen wordpress snippets blob master src get random post suggestion by tags php remove inline styling from tag cloud https github com dalenguyen wordpress snippets blob master src remove inline styling from tag cloud php show related posts on single https github com wajidalitabassum143 wordpress snippets blob master src show related posts on single php shortcode show popular blog posts based on cat https github com wajidalitabassum143 wordpress snippets blob master src show popular blog posts based on cat shortcode php list all authors of a blog grouped by first name with a single letter as a header character https github com wajidalitabassum143 wordpress snippets blob master src list authors alphabetically php | wordpress wordpress-snippets wordpress-development wordpress-php-library hacktoberfest | front_end |
Pewlett-Hackard-Analysis | pewlett hackard analysis overview the purpose of this analysis is first to migrate pewlett hackard from its old way of keeping employee records in excel and vba to primarily a sql database the second is to provide pewlett hackard with the information it needs in order to prepare for the future in what has been dubbed as the silver tsunami with a large portion of the employees at or reaching retirement age based on certain criteria pewlett hackard wants to know which employees are eligible for a retirement package as well as a newly suggested mentorship program pewlett hackard also needs to know what potential positions will need to be filled in the near future due to this silver tsunami findings number of employees retiring by title there are seven categories of employee at pewlett hackard all retiring https user images githubusercontent com 83401820 127804978 dbecbb1f d8ed 4a09 8d56 4856fc9f5675 png 90 398 are retiring of those retiring 50 are engineers of some kind 31 are senior staff mentorship eligibility 1 549 employees are eligible for mentorship less than 2 of retiring staff are eligible for the mentorship program summary there are 240 124 employees currently working at pewlett hackard of those 38 are retiring and only 2 of those retiring are elible for the mentorship program if pewlett hackard wants to maintain its staff at the current numbers levels a mix of mentoring and hiring has to occur losing the bulk of qualified and senior staff pewlett hackard will need to either change the formula for determining the eligibility for mentorship or seek viable external candidates pewlett hackard as indicated in the following diagram stands to lose a large majority of its high level staff during this silver tsunami another point to consider is the gender and racial mix in order to stay in compliance with federal and some state laws pewlett hackard must maintain a healthy ratio of minority employees as it stands pewlett hackard will be losing 15 of its female staff there were no demographics given on race so it was not considered for this analysis as seen in the following diagram each department will lose anywhere from 10 to nearly 20 of its female staff staff https user images githubusercontent com 83401820 127804962 ff1ab3b5 8add 4db3 8f1d 4e4a16c64d8c png in conclusion pewlett hackard has to consider three things as it pertains to the staff replacement adjusting the qualifications for mentorship eligibility how soon does pewlett hackard need to have all retiring staff replaced as it stands there is more than a 50 1 ratio of mentee to mentor if current levels are to be maintained hiring qualified candidates external candidates to replace the deficit if the need is immediate maintaining a compliant minority ratio | server |
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ml-study-plan | the ultimate free machine learning study plan a complete study plan to become a machine learning engineer with links to all free resources if you finish the list you will be equipped with enough theoretical and practical experience to get started in the industry i tried to limit the resources to a minimum but some courses are extensive div align center watch the video on youtube for instructions alt text https img youtube com vi dyvt3vsjaqa hqdefault jpg https www youtube com watch v dyvt3vsjaqa https www youtube com watch v dyvt3vsjaqa https www youtube com watch v dyvt3vsjaqa div important this list is not sponsored by any of the mentioned links i did a lot of the courses myself and can highly recommend them this list takes a lot of time and effort to finish if you want to do it properly the list does not look that long but don t underestimate it how to use the plan for theory lectures follow along take notes and repeat the notes afterwards for practical lectures courses follow along take notes if they provide exercises do them do not just google the answer but try to solve it yourself first for coding tutorials code along and after the video try to code it on your own again step 3 is critical your theoretical knowledge is worthless if you don t know how to apply it to real world problems do as many personal projects and competitions as you can you don t have to wait with step 3 until you finished the other parts i recommend starting with a side project or kaggle competition after you finished part 1 1 andrew ng s course the plan 0 prerequisites linear algebra and multivariate calculus khan academy multivariable calculus https www khanacademy org math multivariable calculus khan academy differential equations https www khanacademy org math differential equations khan academy linear algebra https www khanacademy org math linear algebra 3blue1brown essence of linear algebra https www 3blue1brown com essence of linear algebra page statistics khan academy statistics probability https www khanacademy org math statistics probability python python full course 4 hours freecodecamp on youtube https www youtube com watch v rfscvs0vtbw advanced python playlist on youtube python engineer https www youtube com watch v qltdoen79rc list plqnslrfeh2uqlwzs0awkdklrpybkzlby2 numpy free udemy course https www udemy com course deep learning prerequisites the numpy stack in python matplotlib sentdex playlist on youtube https www youtube com watch v q7bo j8x dw list plqvvvaa0qudfefdfxb9yf0la1fpdklupf or corey schafer playlist on youtube https www youtube com watch v uo98ljq3qgi list pl osie80tetvipoqomveez1hrrcevtzb pandas tutorial playlist on youtube corey schafer https www youtube com watch v zyhvh qrzpa list pl osie80tetswmv9i9c58mddcsskifdds 1 basics machine learning coursera free course by andrew ng https www coursera org learn machine learning machine learning stanford full course on youtube https www youtube com watch v pplop4l2egk list pllsst5z dsk h9vyzkqkynwcitqhlrjln udacity introduction to machine learning https www udacity com course intro to machine learning ud120 machine learning from scratch playlist on youtube python engineer https www youtube com watch v nglyx54e1lu list plqnslrfeh2upcrywf u2etjdxxkl8nl7e books optional and not free but i recommend at least the first one hands on machine learning with scikit learn keras and tensorflow aur lien g ron https www amazon com hands machine learning scikit learn tensorflow dp 1492032646 ref sr 1 1 crid 1j69s9gku93e4 keywords hands on machine learning with scikit learn and tensorflow 2 qid 1584648367 sprefix hands o 2caps 2c256 sr 8 1 python machine learning sebastian raschka https www amazon com python machine learning scikit learn tensorflow dp 1789955750 ref sr 1 1 crid l7pehl95rxh4 keywords python machine learning qid 1584648438 sprefix python ma 2caps 2c230 sr 8 1 introduction to machine learning with python andreas m ller https www amazon com introduction machine learning python scientists dp 1449369413 ref sr 1 1 crid waqpg9cem3w keywords introduction to machine learning with python qid 1584648523 sprefix introduc 2caps 2c238 sr 8 1 2 deep learning stanford lecture convolutional neural networks for visual recognition https www youtube com watch v vt1jzlth4g4 list pl3fw7lu3i5jvhm8ljyj zlfqrf3eo8syv learn pytorch or tensorflow pytorch org official tutorials https pytorch org tutorials pytorch free course on youtube python engineer https www youtube com watch v emxfzb8fvua list plqnslrfeh2urcdbwf5mfpgpqqdsta6vk4 fast ai free courses practical deep learning for coders part 1 https www fast ai part 2 https course fast ai part2 optional stanford lecture natural language processing with deep learning https www youtube com watch v 8rxd5 xhemo list ploromvodv4rohcuxmzknm7j3fvwbby42z stanford lecture reinforcement learning https www youtube com watch v fgzm3zpz55o list ploromvodv4rosopzutgyctapigly2nd8u 3 competitions and own projects kaggle https www kaggle com datasets develop own projects competitions start with getting started section 8 fun machine learning projects for beginners https elitedatascience com machine learning projects for beginners 4 prep for interviews https github com alexeygrigorev data science interviews next level make your own projects to show what you have learned reproduce paper and implement the algorithms write a blog to explain what you have learned contribute to ml dl related open source projects sklearn pytorch fastai get into kaggle competitions further readings the cold start problem how to break into machine learning https towardsdatascience com the cold start problem how to break into machine learning 732ee9fedf1d towardsdatascience how to start learning machine learning https www geeksforgeeks org how to start learning machine learning geekforgeeks how to get started in machine learning best books and sites for machine learning https www youtube com watch v itzmu0l93wm youtube how you can get a world class machine learning education for free https elitedatascience com learn machine learning step 0 elite data science get started with ai and machine learning in 3 months https medium com gordicaleksa get started with ai and machine learning in 3 months 5236d5e0f230 aleksa gordi https towardsdatascience com beginners guide to machine learning with python b9ff35bc9c51 one year of deep learning https www fast ai 2019 01 02 one year of deep learning fast ai getting started with applied machine learning https machinelearningmastery com start here getstarted machine learning mastery github https github com zuzoovn machine learning for software engineers https github com avik jain 100 days of ml code https github com yanshengjia ml road further resources added by the community contributions are welcome if you can recommend any other resources feel free to open a pull request book automate the boring stuff with python https automatetheboringstuff com till chapter 6 for python basics the remaining chapters include the applications of python book python crash course by erric matthes https ehmatthes github io pcc 2e regular index book learning python by mark lutz https www oreilly com library view learning python 5th 9781449355722 basics of neural networks how they learn and some of the involved mathematics 3blue1brown series https www youtube com playlist list plzhqobowtqdnu6r1 67000dx zcjb 3pi article on beginner level datasets https medium com machine learning india getting started in data science beginner level datasets 376ffe60c6fe article on life cycle of a data science project https medium com machine learning india the life cycle of a data science project d614d8d233b7 book grokking algorithms an illustrated guide for programmers and other curious people https www manning com books grokking algorithms book mathematics for machine learning https mml book github io with tutorials free book an introduction to statistical learning https www statlearning com free essentials of statistics by monica wahi https www youtube com watch v 8mxrwjcb2ei list pl64sclad3d1flvowhknyry7jguvd24hwm ab channel monikawahi youtube | ai |
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notes-api-nestjs | notes a programmer oriented note taking app for code snippets project setup guide automated pm2 ci cd or test coverage thingy travis x database database seeds factories migrations extract into library x tests e2e x authentication oauth via google or github or passport redis for auth checks users crud folders crud notes crud search | typescript nestjs docker kubernetes postgresql nodejs | server |
angel | assets angel logo png license http img shields io badge license apache2 0 brightgreen svg style flat https github com angel ml angel blob branch 3 2 0 license txt release version https img shields io badge release 3 2 0 red svg https github com tencent angel releases prs welcome https img shields io badge prs welcome brightgreen svg https github com tencent angel pulls download code https img shields io badge download zip green svg https github com angel ml angel archive refs heads branch 3 2 0 zip zh cn version readme cn md angel is a high performance distributed machine learning and graph computing platform based on the philosophy of parameter server it is tuned for performance with big data from tencent and has a wide range of applicability and stability demonstrating increasing advantage in handling higher dimension model angel is jointly developed by tencent and peking university taking account of both high availability in industry and innovation in academia with model centered core design concept angel partitions parameters of complex models into multiple parameter server nodes and implements a variety of machine learning algorithms and graph algorithms using efficient model updating interfaces and functions as well as flexible consistency model for synchronization angel is developed with java and scala it supports running on yarn with ps service abstraction it supports spark on angel graph computing and deep learning frameworks support is under development and will be released in the future we welcome everyone interested in machine learning or graph computing to contribute code create issues or pull requests please refer to angel contribution guide https github com tencent angel blob master contributing md for more detail introduction to angel architecture docs overview architecture en md code framework docs overview code framework en md design docs overview design philosophy en md spark on angel docs overview spark on angel en md machine learning docs overview spark on angel en md graph computing docs overview angel graph sona en md design model partitioner docs design model partitioner en md synccontroller docs design sync controller en md psfunc docs design psffunc en md core api docs apis core api en md quick start quick start example docs tutorials spark on angel quick start en md deployment compilation guide docs deploy source compile en md running on local docs deploy local run en md running on yarn docs deploy run on yarn en md configuration details docs deploy config details en md resource configuration guide docs deploy resource config guide en md programming guide spark on angel programming guide docs programmers guide spark on angel programing guide en md algorithm angel or spark on angel docs algo angel or spark on angel md algorithm parameter description docs algo model config details md angel traditional machine learning methods logistic regression lr docs algo lr on angel en md support vector machine svm docs algo svm on angel en md factorization machine fm docs algo fm on angel md linear regression docs algo linear on angel en md robust regression docs algo robust on angel en md softmax regression docs algo softmax on angel en md kmeans docs algo kmeans on angel en md gbdt docs algo gbdt on angel en md lda docs algo lda on angel en md warplda docs algo warp lda on angel md spark on angel angel mllib fm https github com angel ml pytorch on angel blob branch 0 2 0 docs recommendation md deepfm https github com angel ml pytorch on angel blob branch 0 2 0 docs recommendation md deepandwide https github com angel ml pytorch on angel blob branch 0 2 0 docs recommendation md dcn https github com angel ml pytorch on angel blob branch 0 2 0 docs recommendation md xdeepfm https github com angel ml pytorch on angel blob branch 0 2 0 docs recommendation md attentionfm https github com angel ml pytorch on angel blob branch 0 2 0 docs recommendation md pnn https github com angel ml pytorch on angel blob branch 0 2 0 docs recommendation md ftrl docs algo ftrl lr spark md logistic regression lr docs algo sona lr sona md ftrlfm docs algo ftrl fm spark en md gbdt docs algo sona feature gbdt sona md angel graph pagerank docs algo sona pagerank on sona en md kcore docs algo sona kcore sona en md hindex docs algo sona hindex sona en md closeness docs algo sona closeness sona en md commonfriends docs algo sona commonfriends sona en md connectedcomponents docs algo sona cc sona en md trianglecountingundirected docs algo sona triangle count undirected en md louvain docs algo sona louvain sona en md lpa docs algo sona lpa sona en md line docs algo sona line sona en md word2vec docs algo sona word2vec sona en md graphsage https github com angel ml pytorch on angel blob branch 0 2 0 docs graph md gcn https github com angel ml pytorch on angel blob branch 0 2 0 docs graph md dgi https github com angel ml pytorch on angel blob branch 0 2 0 docs graph md community mailing list angel tsc lists deeplearningfoundation org angel homepage in linux fd https angelml ai committers contributors committers md contributing to angel contributing md roadmap https github com angel ml angel wiki roadmap faq angel faq https github com tencent angel wiki angel e5 b8 b8 e8 a7 81 e9 97 ae e9 a2 98 papers 1 pasca a graph neural architecture search system under the scalable paradigm https dl acm org doi pdf 10 1145 3485447 3511986 www 2022 2 graph attention multi layer perceptron https dl acm org doi pdf 10 1145 3534678 3539121 kdd 2022 3 node dependent local smoothing for scalable graph learning https proceedings neurips cc paper 2021 file a9eb812238f753132652ae09963a05e9 paper pdf neurlps 2021 4 psgraph how tencent trains extremely large scale graphs with spark https conferences computer org icde 2020 pdfs icde2020 5acyuqhpj6l9p042wmjy1p 290300b549 290300b549 pdf icde 2020 5 dimboost boosting gradient boosting decision tree to higher dimensions https dl acm org citation cfm id 3196892 sigmod 2018 6 lda a robust and large scale topic modeling system http www vldb org pvldb vol10 p1406 yu pdf vldb 2017 7 heterogeneity aware distributed parameter servers http net pku edu cn cuibin papers 2017 20sigmod pdf sigmod 2017 8 angel a new large scale machine learning system http net pku edu cn cuibin papers 2017nsrangel pdf national science review nsr 2017 9 tencentboost a gradient boosting tree system with parameter server http net pku edu cn cuibin papers 2017 20icde 20boost pdf icde 2017 | machine-learning parameter-server spark scala model high-dimensional online-learning spark-streaming | ai |
fluent-windows | p align center a href https fluent windows com target blank img width 150 src https fluent windows com images fluent windows svg alt fluent windows logo a p p align center a href https fluent windows com rel noopener target blank h1 align center fluent windows h1 a p div align center react https reactjs org components that inspired by microsoft s fluent design system https www microsoft com design fluent npm https img shields io npm v fluent windows core svg style flat square https www npmjs com package fluent windows core circleci https img shields io circleci build github fluent org fluent windows master svg style flat square https circleci com gh fluent org fluent windows tree master codecov https img shields io codecov c github fluent org fluent windows svg style flat square https codecov io gh fluent org fluent windows github https img shields io github license mashape apistatus svg style flat square https github com fluent org fluent windows blob master license code style https img shields io badge code style prettier ff69b4 svg style flat square lerna https img shields io badge maintained 20with lerna cc00ff svg style flat square https lerna js org div english https github com fluent org fluent windows blob master readme zh cn md installation install the package in your project directory with with npm npm install fluent windows core with yarn yarn add fluent windows core usage here is a quick example to get you started jsx import react from react import reactdom from react dom import button from fluent windows core button import themeprovider from fluent windows core themeprovider function app return themeprovider button variant primary hello world button themeprovider reactdom render app document queryselector root edit basic demo https codesandbox io static img play codesandbox svg https codesandbox io s nervous ellis 4e44e fontsize 14 documentation check out our documentation website https fluent windows com changelog recently updated please read the changelog https github com fluent org fluent windows blob master changelog md links fluent windows icons https github com fluent org fluent windows blob master packages fluent windows icons readme md demo docs https fluent windows com components icon fluent windows hooks https github com fluent org fluent windows blob master packages fluent windows hooks readme md demo docs https fluent windows com hooks guide fluent windows styles https github com fluent org fluent windows blob master packages fluent windows styles readme md license this project is licensed under the terms of the mit license https github com fluent org fluent windows blob master license | microsoft-fluent react react-components reactjs react-component react-hooks fluent-design | os |
Sign-To-Speech-Conversion | h1 align center sign language to speech conversion h1 div align center h4 sign language to speech conversion system built with opencv keras tensorflow using deep learning and computer vision concepts in order to communicate using american sign language asl based gestures in real time video streams with differently abled h4 div nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp python https img shields io badge python v3 6 blue svg contributions welcome https img shields io badge contributions welcome brightgreen svg style flat https github com beingaryan sign to speech conversion issues forks https img shields io github forks beingaryan sign to speech conversion svg logo github https github com beingaryan sign to speech conversion network members stargazers https img shields io github stars beingaryan sign to speech conversion svg logo github https github com beingaryan sign to speech conversion stargazers issues https img shields io github issues beingaryan sign to speech conversion svg logo github https github com beingaryan sign to speech conversion issues linkedin https img shields io badge linkedin black svg style flat square logo linkedin colorb 555 https www linkedin com in aryan gupta 6a9201191 nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp nbsp live demo analysis output gif point down support me here a href https www buymeacoffee com beingaryan target blank img src https www buymeacoffee com assets img custom images orange img png alt buy me a coffee style height 41px important width 174px important box shadow 0px 3px 2px 0px rgba 190 190 190 0 5 important webkit box shadow 0px 3px 2px 0px rgba 190 190 190 0 5 important a br innocent motivation a language translator is extensively utilized by the mute people for converting and giving shape to their thoughts a system is in urgent need of recognizing and translating sign language br br lack of efficient gesture detection system designed specifically for the differently abled motivates us as a team to do something great in this field the proposed work aims at converting such sign gestures into speech that can be understood by normal people the entire model pipeline is developed by cnn architecture for the classification of 26 alphabets and one extra alphabet for null character the proposed work has achieved an efficiency of 99 88 unable to communicate verbally is a disability in order to communicate there are many ways one of the most popular methods is the use of predefined sign languages the purpose of this project is to bridge the research gap and to contribute to recognize american sign languages asl with maximum efficiency this repository focuses on the recognition of asl in real time converting predicted characters to sentences and output is generated in terms of voice formats the system is trained by convolutional neural networks for the classification of 26 alphabets and one extra alphabet for null character the proposed work has achieved an efficiency of 99 88 on the test set p align center img src https github com beingaryan sign to speech conversion blob master analysis z3 gif width 700 height 400 p warning techstack framework used opencv https opencv org keras https keras io tensorflow https www tensorflow org file folder data distribution the dataset used can be downloaded here click to download https drive google com drive folders 16ce6hc4u5qr6ybarcozoyom6tt5 7osc usp sharing this dataset consists of 17113 images belonging to 27 classes training set 12845 images br p align center img src https github com beingaryan sign to speech conversion blob master analysis train data distribution png br b train data statistics b p br analysis train data distribution png br test set 4368 images br p align center img src https github com beingaryan sign to speech conversion blob master analysis test data distribution png br b test data statistics b p br analysis train data distribution png br star features our model is capable of predicting gestures from american sign language in real time with high efficiency these predicted alphabets are converted to form words and hence forms sentences these sentences are converted into voice modules by incorporating google text to speech gtts api br br the model is efficient since we used a compact cnn based architecture it s also computationally efficient and thus making it easier to deploy the model to embedded systems raspberry pi google coral etc this system can therefore be used in real time applications which aims at bridging the the gap in the process of communication between the deaf and dumb people with rest of the world feature extraction gaussian filter is used as a pre processing technique to make the image smooth and eliminate all the irrelevat noise intensity is analyzed and non maximum suppression is implemented to remove false edges for a better pre processed image data double thresholding is implemented to consider only the strong edges in the images all the weak edges are finally removed and only the strong edges are consdered for the further phases br br analysis fe png br the above figure shows pre processed image with extracted features which is sent to the model for classification proposed flow br p align center img src https github com beingaryan sign to speech conversion blob master analysis proposed 20flow png width 700 height 400 p analysis proposed 20flow png br the figure above shows a detailed pipeline of the model architecture it can be interpreted that a convolutional architecture has been proposed key prerequisites all the dependencies and required libraries are included in the file code requirements txt code see here https github com beingaryan sign to speech conversion blob master requirements txt nbsp installation 1 start and fork the repository 2 clone the repo git clone https github com beingaryan sign to speech conversion git 3 change your directory to the cloned repo and create a python virtual environment named test mkvirtualenv test 4 now run the following command in your terminal command prompt to install the libraries required pip3 install r requirements txt bulb working 1 open terminal go into the cloned project directory and type the following command python3 jupyter 2 to train the model open the asl train https github com beingaryan sign to speech conversion blob master asl train ipynb file in jupyter notebook and run all the cells br 3 to detect asl gestures in real time video streams run the asl real time ipynb https github com beingaryan automated sign to speech conversion blob master asl real time ipynb file note you can directly use asl classifier h5 https github com beingaryan automated sign to speech conversion blob master asl classifier h5 file trained by me for real time predictions in real time https github com beingaryan automated sign to speech conversion blob master asl real time ipynb file br br key results our model gave 99 8 accuracy for sign language detection after training via code tensorflow gpu 2 0 0 code br br analysis classification report png br the model has been trained on a python based environment on jupyter platform the model is iterated for a total epoch of 20 the model has attained an accuracy of 99 88 accuracy on the validation set the prescribed model has been evaluated on test set where it has attained an accuracy of 99 85 with loss of 0 60 we got the following accuracy loss training curve plot analysis loss 20vs 20epoch png br the above figure shows the loss plot of the model throughout it s training journey br br analysis accuracy 20vs 20epoch png br the above figure shows the accuracy plot of the model throughout it s training journey analysis the training phase data has been evaluated on the heatmap plotting representation analysis heatmp png br the prescribed analysis aims that each class is most correlated with that traned class clap and it s done feel free to mail me for any doubts query email aryan gupta18 vit edu handshake contribution feel free to file a new issue with a respective title and description on the the sign language detection https github com beingaryan sign to speech conversion issues repository if you already found a solution to your problem i would love to review your pull request heart owner made with heart nbsp by aryan gupta https github com beingaryan 1 credits https www pyimagesearch com https www pyimagesearch com https opencv org https opencv org efthimiou eleni fotinea stavroula evita vogler christian hanke thomas glauert john bowden richard braffort annelies collet christophe maragos petros segouat j r mie 2009 sign language recognition generation and modelling a research effort with applications in deaf communication 21 30 10 1007 978 3 642 02707 9 3 pramada sawant vaidya archana 2013 intelligent sign language recognition using image processing iosr journal of engineering 03 45 51 10 9790 3021 03224551 handshake our contributors contributors md contributors md eyes code of conduct you can find our code of conduct here code of conduct md eyes license mit aryan gupta https github com beingaryan sign to speech conversion blob master license | sign-languages-recognition asl python3 deep-learning deep-neural-networks keras bing-search keras-tensorflow computer-vision opencv american-sign-language accuracy gesture-recognition | ai |
micro_ros_azure_rtos_app | banner images banner dark theme png gh dark mode only banner images banner light theme png gh light mode only micro ros app for microsoft azure rtos ci https github com micro ros micro ros azure rtos app actions workflows ci yml badge svg https github com micro ros micro ros azure rtos app actions workflows ci yml this example application has been tested in azure rtos 6 1 7 and stmicroelectronics b l475e iot01a dependencies this component needs colcon and other python 3 packages in order to build micro ros packages bash pip3 install catkin pkg lark parser empy colcon common extensions usage 1 clone recursively this repo bash git clone recursive https github com micro ros micro ros azure rtos app 2 configure the cmake project bash cmake bbuild gninja 3 build the cmake project bash cmake build build 4 flash the board bash openocd f interface stlink v2 1 cfg f target stm32l4x cfg c init c reset halt c flash write image erase build app stm32l475 azure iot bin 0x08000000 c reset c exit purpose of the project this software is not ready for production use it has neither been developed nor tested for a specific use case however the license conditions of the applicable open source licenses allow you to adapt the software to your needs before using it in a safety relevant setting make sure that the software fulfills your requirements and adjust it according to any applicable safety standards e g iso 26262 license this repository is open sourced under the apache 2 0 license see the license license file for details for a list of other open source components included in ros 2 system modes see the file 3rd party licenses txt 3rd party licenses txt known issues limitations there are no known limitations | os |
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holberton-system_engineering-devops | top png orange book introduction devops is a set of practices that combines software development dev and it operations ops it aims to shorten the systems development life cycle and provide continuous delivery with high software quality devops is complementary with agile software development several devops aspects came from the agile methodology as devops is intended to be a cross functional mode of working those who practice the methodology use different sets of tools referred to as toolchains rather than a single one these toolchains are expected to fit into one or more of the following categories reflective of key aspects of the development and delivery process coding code development and review source code management tools code merging building continuous integration tools build status testing continuous testing tools that provide quick and timely feedback on business risks packaging artifact repository application pre deployment staging releasing change management release approvals release automation configuring infrastructure configuration and management infrastructure as code tools monitoring applications performance monitoring end user experience some categories are more essential in a devops toolchain than others especially continuous integration e g jenkins gitlab bitbucket pipelines and infrastructure as code e g terraform ansible puppet books content 0x00 shell basics 0x00 shell basics 0x01 shell permissions 0x01 shell permissions 0x02 shell redirections 0x02 shell redirections 0x03 shell variables expansions 0x03 shell variables expansions 0x04 loops conditions and parsing 0x04 loops conditions and parsing 0x05 processes and signals 0x05 processes and signals 0x06 regular expressions 0x06 regular expressions 0x07 networking basics 0x07 networking basics 0x08 networking basics 2 0x08 networking basics 2 0x09 web infrastructure design 0x09 web infrastructure design 0x0a configuration management 0x0a configuration management 0x0b ssh 0x0b ssh 0x0c web server 0x0c web server 0x0d web stack debugging 0 0x0d web stack debugging 0 0x0e web stack debugging 1 0x0e web stack debugging 1 0x0f load balancer 0x0f load balancer 0x10 https ssl 0x10 https ssl 0x11 what happens when your type holbertonschool com in your browser and press enter 0x11 what happens when your type holbertonschool com in your browser and press enter 0x12 web stack debugging 2 0x12 web stack debugging 2 0x13 firewall 0x13 firewall 0x14 mysql 0x14 mysql 0x15 api 0x15 api 0x16 api advanced 0x16 api advanced 0x17 web stack debugging 3 0x17 web stack debugging 3 0x18 webstack monitoring 0x18 webstack monitoring 0x19 postmortem 0x19 postmortem 0x1a application server 0x1a application server 0x1b web stack debugging 4 0x1b web stack debugging 4 command line for the win command line for the win shellcheck shellcheck sagittarius author man carlos andres garcia morales e mail e mail agzsoftsi gmail com octocat github https github com agzsoftsi bird twiiter https twitter com karlgarmor blue book linkedin https twitter com karlgarmor globe with meridians webpage https www agzsoftsi tech | puppet bash linux network datadog-agent server devops engineering-devops monitoring infrastructure | server |
system-design-interview | system design interview knowledage for system design knowledge please find system design knowledge https github com wuyichen24 system design knowledge repo interview procedure interview procedure md problems feed system problem examples build follower feed system problems feed build follower feed system md li twitter build friend feed system problems feed build friend feed system md li facebook location system problem examples build proximity system problems build proximity system md li yelp build nearby friends system problems build nearby friends system md build a map system system design interview vol2 google map video processing system problem examples build video distribution system problems build video distribution system md li youtube li netflix li vimeo storage system problem examples build cloud file storage system problems build cloud file storage system md li google drive li microsoft onedrive li dropbox build cloud object storage system li aws s3 build key value store booking system problem examples build hotel reservation system problems build hotel reservation system md li airbnb li priceline build ticket selling system li ticketmaster tool system problem examples build rate limiter problems build rate limiter md build unique id generator problems build unique id generator md build notification system build notification system md build a distributed message queue system design interview vol2 build a metrics monitoring alerting system system design interview vol2 build a ad click event aggregation system system design interview vol2 build a distributed email system system design interview vol2 build a web crawler system design interview vol1 prioritize web pages that are dynamic as these pages appear more frequenctly in search engine ranking the crawler should not be unbounded on the same domain build a system that constantly tracks new web pages other system problem examples build url shortening system problems build url shortening system md li tinyurl build messaging system problems build messaging system md li facebook chat li whatapp li slack build photo sharing system problems build photo sharing system md li instagram li flickr li picasa build typeahead autocomplete system problems build typeahead autocomplete system md build payment system problems build payment system md li amazon build live commenting system problems build live commenting system md build privacy setting system problems build privacy setting system md build recommendation system problems build recommendation system md build search system problems build search system md build flash sale system problems build flash sale system md build auction system problems build auction system md ebay build stock exchange system problems build stock exchange system md robinhood incomplete more topics will be added build a real time gaming leaderboardboard system design interview vol2 build a currency exchange system build a flash sale system build a traffic control system requirements a group of traffic lights has two components main lights and pedestrian lights main traffic lights have three colors red yellow and green pedestrian lights have two colors red and green pedestrian lights colors are reversed from main lights main red yellow pedestrian s green main green pedestrian red there is a button for pedestrian lights if the button is pushed in advance pedestrian s lights change colors according to the main ones if the button isn t pushed pedestrian s lights remain red a typical junction has 4 groups of lights additional question design the system in a way that allows cars which start from one junction after a red light don t have to stop at the next one key points in solution cnosider all phase transitions from red to green red to orange to green and so on be clear on the conditions in which a certain transition will take place consider pedestrian crossing requirements determine cycle length determine clearance time apportion green light approriately build a counter system for online services build a game of chess build a parking garage build an online bookstore build an e commerce website how to handle transactions build an elevator system build a vending machine build a task management system trello requirement user can move tasks from one lane to the other and move it back this should have a state diagram with many end states build a card game there should be more than one method of cards distribution such as even distribution uneven distribution etc there are multiple situations which could be considered as a winning situation one who finishes all his cards early one who earns the maximum points at the last build a restaurant management system presentation topic source 1 source 2 scaling instagram infrastructure infoq https www infoq com presentations instagram scale infrastructure youtube https www youtube com watch v hnpznapic0e how slack works infoq https www infoq com presentations slack infrastructure youtube https www youtube com watch v we9c9aze dy scaling slack the good the unexpected and the road ahead infoq https www infoq com presentations slack scalability 2018 youtube https www youtube com watch v m ohxknfni scaling slack infoq https www infoq com presentations slack scalability youtube https www youtube com watch v x1uz3rmlobo twitter timelines at scale infoq https www infoq com presentations twitter timeline scalability how we learned to stop worrying and love fan in at twitter youtube https www youtube com watch v wegcjwyxvwc scaling pinterest youtube https www youtube com watch v jqncud hxdq scaling redis at twitter youtube https www youtube com watch v rp9ekvwt0zo systems at facebook scale youtube https www youtube com watch v dlixgkelp9u building real time infrastructure at facebook youtube https www youtube com watch v odkewso5i30 lessons of scale at facebook youtube https www youtube com watch v qchinew73au the evolution of reddit com s architecture youtube https www youtube com watch v nuco7n4hek4 scalable and reliable logging at pinterest youtube https www youtube com watch v dphnpwvyeg8 facebook and memcached youtube https www youtube com watch v uh7wkvcf0ys references https leetcode com discuss interview question 3766958 bookmark it 3a system design and most popular coding questions | os |
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simpleDataStructures | simpledatastructures todo | os |
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Amazon-FreeRTOS | cloning this repo uses git submodules https git scm com book en v2 git tools submodules to bring in dependent components note if you download the zip file provided by github ui you will not get the contents of the submodules the zip file is also not a valid git repository to clone using https git clone https github com aws amazon freertos git recurse submodules using ssh git clone git github com aws amazon freertos git recurse submodules if you have downloaded the repo without using the recurse submodules argument you need to run git submodule update init recursive important branches to know master development is done continuously on this branch release fully tested released source code release candidate preview of upcoming release feature alpha beta of an upcoming feature getting started for more information on amazon freertos refer to the getting started section of amazon freertos webpage https aws amazon com freertos to directly access the getting started guide for supported hardware platforms click the corresponding link in the supported hardware section below for detailed documentation on amazon freertos refer to the amazon freertos user guide https aws amazon com documentation freertos supported hardware for additional boards that are supported for amazon freertos please visit the aws device catalog https devices amazonaws com search kw freertos the following mcu boards are supported for amazon freertos 1 texas instruments cc3220sf launchxl http www ti com tool cc3220sf launchxl getting started guide https docs aws amazon com freertos latest userguide getting started ti html ides code composer studio http www ti com tools software ccs html iar embedded workbench https www iar com iar embedded workbench partners texas instruments 2 stmicroelectronics stm32l4 discovery kit iot node http www st com en evaluation tools b l475e iot01a html getting started guide https docs aws amazon com freertos latest userguide getting started st html ide stm32 system workbench http openstm32 org homepage 3 nxp lpc54018 iot module http www nxp com lpc aws module getting started guide https docs aws amazon com freertos latest userguide getting started nxp html ides iar embedded workbench https www iar com iar embedded workbench partners nxp mcuxpresso ide https www nxp com mcuxpresso ide download 4 microchip curiosity pic32mzef http www microchipdirect com product search all dm320104 bndl getting started guide https docs aws amazon com freertos latest userguide getting started mch html ide mplab x ide http www microchip com mplab mplab x ide 5 espressif esp32 devkitc https www espressif com en products hardware esp32 devkitc overview esp wrover kit https www espressif com en products hardware esp wrover kit overview getting started guide https docs aws amazon com freertos latest userguide getting started espressif html 6 infineon infineon xmc4800 iot connectivity kit https www infineon com connectivitykit getting started guide https docs aws amazon com freertos latest userguide getting started infineon html ide dave https infineoncommunity com dave download id645 7 xilinx xilinx zynq 7000 based microzed industrial iot bundle http www zedboard org product microzed iiot bundle afreertos getting started guide https docs aws amazon com freertos latest userguide getting started xilinx html ide xilinx sdk https www xilinx com products design tools embedded software sdk html 8 mediatek mediatek mt7697hx development kit https www mediatek com products smarthome mt7697h getting started guide https docs aws amazon com freertos latest userguide getting started mediatek html ide keil uvision http www2 keil com mdk5 install 9 renesas renesas starter kit for rx65n 2mb https www renesas com us en products software tools boards and kits renesas starter kits renesas starter kitplus for rx65n 2mb html getting started guide https docs aws amazon com freertos latest userguide getting started renesas html ide e2 studio https www renesas com us en products software tools tools ide e2studio html 10 cypress cyw54907 cypress cyw954907aeval1f evaluation kit https www cypress com documentation development kitsboards cyw954907aeval1f evaluation kit getting started guide https docs aws amazon com freertos latest userguide getting started cypress 54 html ide wiced studio https community cypress com community wiced wifi 11 cypress cyw43907 cypress cyw943907aeval1f evaluation kit https www cypress com documentation development kitsboards cyw943907aeval1f evaluation kit getting started guide https docs aws amazon com freertos latest userguide getting started cypress 43 html ide wiced studio https community cypress com community wiced wifi 12 marvell mw320 marvell mw320 aws iot starter kit https www marvell com microcontrollers aws iot starter kit getting started guide https docs aws amazon com freertos latest userguide getting started marvell320 html 13 marvell mw322 marvell mw322 aws iot starter kit https www marvell com microcontrollers aws iot starter kit getting started guide https docs aws amazon com freertos latest userguide getting started marvell322 html 14 nordic nrf52840 dk nrf52840 dk development kit https www nordicsemi com software and tools development kits nrf52840 dk getting started guide https docs aws amazon com freertos latest userguide getting started nordic html 15 nuvoton numaker iot m487 https direct nuvoton com en numaker iot m487 getting started guide https docs aws amazon com freertos latest userguide getting started nuvoton m487 html 16 windows simulator to evaluate amazon freertos without using mcu based hardware you can use the windows simulator requirements microsoft windows 7 or newer with at least a dual core and a hard wired ethernet connection getting started guide https docs aws amazon com freertos latest userguide getting started windows html ide visual studio community edition https www visualstudio com downloads amazon freertos projects the projects folder contains the ide test and demo projects for each vendor and their boards the majority of boards can be built with both ide and cmake there are some exceptions please refer to the getting started guides above for board specific instructions | os |
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