names
stringlengths 1
98
| readmes
stringlengths 8
608k
| topics
stringlengths 0
442
| labels
stringclasses 6
values |
|---|---|---|---|
ArticutAPI_Taigi | articutapi taigi nlp https api droidtown co u articut nlp u articutapi taigi nlp articut taigi articut nlp articut nlp 2000 articut articut taigi 2000 articut api key 300 https api droidtown co product nlp articut taigi nlp nlp e g articut hakka articut amis http paypal me donatepeterwolf http paypal me donatepeterwolf ner e g ner e g huan g ng ta k ke ts hu l i ts t i uan g gi n ner e g ta k ke t i uan https taiwan lingu ist segmentation i ws pos ner python from articutapi taigi import articuttg from pprint import pprint username https api droidtown co email 2000 apikey https api droidtown co api key 2000 articuttg articuttg username apikey inputstr resultdict articuttg parse inputstr level lv2 lv2 pprint resultdict python exec time 0 17456531524658203 level lv2 msg success result obj pos action verb text pos entity pronoun text pos modifier text pos action verb text pos action verb text pos location text pos entity noun text result pos action verb action verb entity pronoun entity pronoun modifier modifier action verb action verb action verb action verb location location entity noun entity noun result segmentation status true version v261 word count balance 1965 articutapi taigi json json action verb action lightverb e g action quantifiedverb e g action eventquantifier e g aspect e g aux e g clause particle e g clause q e g entity classifier e g entity detphrase e g entity measurement e g 30 entity noun entity num entity person entity possessive e g entity pronoun e g func conjunction e g func degreehead e g func inner e g func inter e g func negation e g idiom location modal e g modifier modifier color quantifier e g range locality e g range period e g time justtime time season parse python from articutapi taigi import articuttg from pprint import pprint username https api droidtown co email 2000 apikey https api droidtown co api key 2000 articuttg articuttg username apikey inputstr resultdict articuttg parse inputstr level lv2 userdefineddictfile my dictionary json pprint resultdict ii python from articutapi taigi import articuttg from pprint import pprint username https api droidtown co email 2000 apikey https api droidtown co api key 2000 articuttg articuttg username apikey inputstr resultdict articuttg parse inputstr level lv3 lv2 lv3 pprint resultdict python entity 179 181 exec time 0 1532421112060547 level lv3 msg success person 45 47 site 153 155 status true time utterance huan g ng ta k ke ts hu tsu h l i ts tsu t i uan u n g gi n g gi n version v261 word count balance 1965 | ai |
|
plip | pathology language and image pre training plip pathology language and image pre training plip is the first vision and language foundation model for pathology ai plip is a large scale pre trained model that can be used to extract visual and language features from pathology images and text description the model is a fine tuned version of the original clip model plip assets banner png a visual language foundation model for pathology ai resources official demo https huggingface co spaces vinid webplip plip on huggingface https huggingface co vinid plip paper https www nature com articles s41591 023 02504 3 internal api usage python from plip plip import plip import numpy as np plip plip vinid plip we create image embeddings and text embeddings image embeddings plip encode images images batch size 32 text embeddings plip encode text texts batch size 32 we normalize the embeddings to unit norm so that we can use dot product instead of cosine similarity to do comparisons image embeddings image embeddings np linalg norm image embeddings ord 2 axis 1 keepdims true text embeddings text embeddings np linalg norm text embeddings ord 2 axis 1 keepdims true huggingface api usage python from pil import image from transformers import clipprocessor clipmodel model clipmodel from pretrained vinid plip processor clipprocessor from pretrained vinid plip image image open images image1 jpg inputs processor text a photo of label 1 a photo of label 2 images image return tensors pt padding true outputs model inputs logits per image outputs logits per image this is the image text similarity score probs logits per image softmax dim 1 print probs image resize 224 224 citation if you use plip in your research please cite the following paper bibtex article huang2023visual title a visual language foundation model for pathology image analysis using medical twitter author huang zhi and bianchi federico and yuksekgonul mert and montine thomas j and zou james journal nature medicine pages 1 10 year 2023 publisher nature publishing group us new york acknowledgements the internal api has been copied from fashionclip | artificial-intelligence clip pathology vision-and-language | ai |
Dynamic_App_Loading | dynamic app loading p align center minimal example of dynamic apps for cortex m br a href https rgujju github io dynamic app loading html index html strong doxygen docs strong a br p note initial implementation using jump tables and freertos is in the freertos branch https github com rgujju dynamic app loading tree freertos about the project this is a minimal example of having dynamic apps with syscall functionality it is divided into 2 parts the kernel and the app the kernel is responsible for loading the app and handling syscall functionality the syscall functionality is implemented using zephyr syscalls https docs zephyrproject org 2 3 0 reference usermode syscalls html kernel at the moment the kernel is nothing but zephyr and 2 functions the setled and loadapp the syscall functionality is implemented in the modules sys module while the app loading is implemented in the modules app loader the kernel contains the actual implementation of setled this code does not get compiled into the app again so this api can be changed without needing to rebuild the app there are some changes required in zephyr to support this have a look at zephyr changes changes required in zephyr and a diff here https github com rgujju zephyr commit a7be4d5d662a2df6be4f895b54bd548aa269d74e app the app is compiled as a position independent code the following flags are used fpic msingle pic base mpic register r9 mno pic data is text relative mlong calls this creates an executable which can be run from any memory location given that the got address is in the register r9 this value is given as a parameter while calling the app so this gets placed in r0 the appstart function defined in app startup s is used to copy the value from r0 to r9 this function contains the first instruction that gets executed when the app is started followed by the main function defined in app this sequence is defined using the app linker script app base ld gcc generates the executable in elf which contains a lot of information and is quite large for a mcu so this elf file is converted into tinf https github com rgujju dynamic app loading tree master elf2tinf which can be easily loaded onto a mcu the current example app blinky in apps blinky turns on the green led while the kernel turns on the red led on the stm32f429i disc1 board but should be able to port to any arm cortex m board to learn more about got and pic refer the acknowledgements acknowledgements they do a much better job of explaining the concepts why did i do this mainly to learn about the got pic memory layout of mcu elf format and a lot more gained a lot of knowledge from this project usage this example is for the stm32f429i disc1 board but should be portable porting to any other mcu 1 build libsys module a this is a static library aka archive the app will be linked to this archive cd kernel mkdir build cd build cmake dboard stm32f429i disc1 duserlib 1 make userlib a folder called userlib will be created this folder will contain everything required to build the app it contains the header and archive files copy this folder to the apps folder cp r userlib apps 2 build app a example app called blinky is provided this app turns on led1 there is some extra code in the example to purposely populate the data and bss sections and also to verify if the got is copied properly ie global variable access cd apps blinky mkdir build cd build cmake make this will create blinky elf file this file now needs to be converted into tinf 3 create tinf of the app python3 elf2tinf elf2tinf py major 1 minor 0 blinky elf blinky this will generate 2 files the blinky tinf and blinky tinf h blink tinf is in a binary format which can be loaded over uart ble usb etc blinky tinf h is the same binary data in the form of a header file so the app can be tested easily by compiling into the kernel without implementing the actual transfer of the binary to the mcu more details about this tool is in the readme md in folder elf2tinf copy the blinky tinf file to the kernel include folder cp rf blinky tinf h kernel include 4 build the kernel cd kernel build build the kernel this is the code that will actually load the app and run it cmake dboard stm32f429i disc1 duserlib 0 make clean need to clean the build files of the userlib make this will generate the main elf file which needs to be loaded onto the board 5 load main elf to hardware this can vary depending on your method but if zephyr flash method works for you then simply make flash documentation user documentation is in header files to go deeper see the source files online docs https rgujju github io dynamic app loading html index html porting this project uses the stm32f429 mcu but should be portable to any mcu zephyr makes porting extremely easy simply change the dboard param given to cmake to match your board modify the apps blinky cmakelists txt mainly the mcu and mcu spec to port to other architecture need to modify how the got base address is passed to the app limitations cannot reset thread stack to 0x00 while entering userpsace statically allocated stack no stack overflow detection yet changes required in zephyr have a look at the diff here https github com rgujju zephyr commit a7be4d5d662a2df6be4f895b54bd548aa269d74e allocate space in the userspace thread stack for got bss and data section of dynamic app right now i am just not resetting the thread stack to 0 or 0xaaaaaaaa while entering userspace so that it does not overwrite these sections the thread stack is statically allocated due to limiations in zephyr heap allocator the current heap implementation cannot allocate stack which is aligned properly according to mpu do not compile syscall apis as static inline while building userlib and set config userlib 1 and zephyr user 1 config userlib 1 is used to remove the static inline from the syscall declaration so that the api is exported zephyr user 1 is used to compile only the userspace version of the syscall the modified api definition is formed as follows c extern int8 t z impl some api uint8 t a uint8 t b ifndef config userlib static inline endif int8 t some api uint8 t a uint8 t b ifdef config userspace if z syscall trap return int8 t arch syscall invoke2 uintptr t led num uintptr t led state k syscall setled endif compiler barrier return z impl setled led num led state the source of the c files not to be compiled in the userlib must be inside ifndef config userlib endif only the generated syscall header files and its dependent header files are required in the userlib so a typical module can be compiled as follows module name c c include zephyr h include device h include module name h ifndef config userlib int8 t z impl some api uint8 t a uint8 t b int8 t z vrfy some api uint8 t a uint8 t b include syscalls some api mrsh c endif config userlib module name h c ifndef config userlib syscall int8 t some api uint8 t a uint8 t b endif the source for jumping to the syscall will get included from here include syscalls module name h 5 should be able to just add include syscalls file name h along with dependencies to include the apis from that file acknowledgements following resources helped me https github com bogdanm udynlink https github com pebble dev rebbleos blob master rcore appmanager c https dl acm org doi abs 10 1145 1067170 1067188 https github com tock tock https www airs com blog archives 38 40 part explaination about linkers https www technovelty org linux plt and got the key to code sharing and dynamic libraries html explains plt and got https stackoverflow com questions 3322911 what do linkers do 33690144 33690144 explains relocation with a proper worked out example https stackoverflow com questions 2463150 what is the fpie option for position independent executables in gcc and ld 51308031 51308031 explains pie relocation with a proper worked out example https stac47 github io c relocation elf tutorial 2018 03 01 understanding relocation elf html worked out example of relocation in dynamic and static linking dynamic linking load time relocation https eli thegreenplace net 2011 08 25 load time relocation of shared libraries https www youtube com watch v wymhubhkbhq demonstrates load time relocation pic position independent code https www youtube com watch v banlnnt5oyg https eli thegreenplace net 2011 11 03 position independent code pic in shared librariesss https www youtube com watch v fnbbkiniumw list plyqspqzte6m q0xgn0icehvus7wqxvenv index 14 explains aslr and load time relocation and pic for cortex m https stackoverflow com questions 5619178 how to write dynamic loader for bare metal arm application explains how to do jump tables jumptables using c struct https stackoverflow com questions 50655162 stm32 position independent binaries position independent code https github com embedded2014 elf loader https github com martinribelotta elfloader elf loader http www chibios com forum viewtopic php f 3 t 1229 partial linking and comparison of different dynamic loading options https stackoverflow com questions 44632383 dynamically load code on embedded target shows partial linking in the ld documentation check out relocatable and just symbols https static docs arm com ihi0044 f ihi0044f aaelf pdf arm elf format | dynamic-loading dynamic-app embedded mcu zephyr cortex-m | os |
legalnlp | legalnlp natural language processing methods for the brazilian legal language balance scale the library of natural language processing for brazilian legal language legalnlp was born in a partnership between brazilian researchers and the legal tech tikal tech https www tikal tech based in s o paulo brazil besides containing pre trained language models for the brazilian legal language legalnlp provides functions that can facilitate the manipulation of legal texts in portuguese and demonstration tutorials to help people in their own work pypi https img shields io pypi v legalnlp svg https pypi python org pypi legalnlp you can access our paper by clicking here https arxiv org abs 2110 15709 if you use our library in your academic work please cite us in the following way polo felipe maia et al legalnlp natural language processing methods for the brazilian legal language anais do xviii encontro nacional de intelig ncia artificial e computacional sbc 2021 inproceedings polo2021legalnlp title legalnlp natural language processing methods for the brazilian legal language author polo felipe maia and mendon c c a gabriel caiaffa floriano and parreira kau e capellato j and gianvechio lucka and cordeiro peterson and ferreira jonathan batista and de lima leticia maria paz and do amaral maia ant o nio carlos and vicente renato booktitle anais do xviii encontro nacional de intelig e ncia artificial e computacional pages 763 774 year 2021 organization sbc summary 0 accessing the language models 0 1 introduction installing package 1 2 fuctions 2 1 text cleaning functions 2 1 2 other functions 2 2 3 language models details how to use 3 1 phraser 3 1 2 word2vec doc2vec 3 2 3 fasttext 3 3 4 bertikal 3 4 4 demonstrations tutorials 4 5 references 5 a name 0 a 0 accessing the language models if you want to use bertikal please also check huggingface https huggingface co felipemaiapolo legalnlp bert for an easy way to use the model all our models can be found here https drive google com drive folders 1tcccoxplseaeuqtcwxved3yanji3p7la usp sharing some models can be download directly using our function get premodel more details in section other functions 2 2 please contact felipemaiapolo gmail com if you have any problem accessing the language models a name 1 a 1 introduction installing package legalnlp is promising given the scarcity of natural language processing resources focused on the brazilian legal language it is worth mentioning that our library was made for python one of the most well known programming languages for machine learning you can install our package running one of the following commands on the terminal sh pip install legalnlp or sh pip install git https github com felipemaiapolo legalnlp you can load all our functions running the following command python from legalnlp clean functions import from legalnlp get premodel import a name 2 a 2 functions a name 2 1 a 2 1 text cleaning functions a name 2 1 1 a 2 1 1 clean text lower true return masked false function for cleaning texts to be used optional in conjunction with doc2vec word2vec and fasttext models we use regex to mask extract information such as email addresses urls dates numbers monetary values etc input text str lower bool default true if lower true function lower cases the whole text note that all the models except bert were trained with lower cased texts return masked bool default true if return masked false the function outputs a clean text otherwise it returns a dictionary containing the clean text and the information extracted by regex output clean text or dictionary depending on the return masked parameter a name 2 1 2 a 2 1 2 clean bert text function for cleaning the texts to be used optional in conjunction with the bert model input text str output str with clean text a name 2 2 a 2 2 other functions 2 2 2 get premodel model function to download a pre trained model in the same folder as the file that is being executed input model str must contain the name of the pre trained model that one wants to use there are these options model bert download a zip file containing bertikal model and unzip it model wodc download word2vec and do2vec pre trained models in a zip file and unzip it it has 2 two files one with an size 100 doc2vec distributed memory word2vec continuous bag of words cbow embeddings model and other with an size 100 doc2vec distributed bag of words dbow word2vec skip gram sg embeddings model model fasttext download a zip file containing 100 sized fasttext cbow sg models and unzip it model phraser download phraser pre trained model in a zip file and unzip it it has 2 two files with phraser1 and phreaser2 we explain how to use them in section phraser 3 1 model w2vnilc download size 100 word2vec cbow model trained by n cleo interinstitucional de lingu stica computacional usp embeddings model in a zip file and unzip it click here for more details http nilc icmc usp br nilc index php repositorio de word embeddings do nilc output true if download of some model was made and false otherwise 2 2 1 extract features bert path model path tokenizer data gpu true function for extracting features with the bert model this function is not accessed through the package installation but you can find it here https github com felipemaiapolo legalnlp blob main demo bert extract features bert ipynb input path model str must contain the path of the pre trained model path tokenizer str must contain the path of tokenizer data list must contain a list of texts that will be extracted features gpu bool default true if gpu false the gpu will not be used in the model application we recommend feature extraction to be done using google colab output dataframe with features extracted by bert model a name 3 a 3 model languages a name 3 1 a 3 1 phraser phraser is a statistical method proposed in the natural language processing literature 1 for identifying which words when they appear together can be considered as unique tokens this method application is able to identify the relevance of the occurrence of a bigram against the occurrence of the words that make it up separately thus we can identify that a bigram like s o paulo should be treated as a single token for example if the method is applied a second time in sequence we can check which are the relevant trigrams and quadrigrams since the two applications should be done with different phraser models it can be the case that the second application identifies bigrams that were not identified by the first model this model is compatible with the clean function but it is not necessary to use it before remember to at least make all letters lowercase please check our paper or gensim page https radimrehurek com gensim 3 8 3 models phrases html for more details preferably use gensim version 3 8 3 using phraser installing gensim python pip install gensim 3 8 3 importing package and loading our two phraser models python importing packages from gensim models phrases import phraser loading two phraser models phraser1 phraser load folder name phraser1 phraser2 phraser load folder name phraser2 applying phraser once and twice to check output python txt direito do consumidor origem bangu regional xxix juizado especial civel a o processo recte fundo de investimento em direitos credit rios tokens txt split print clean text join tokens print napplying phraser 1x join phraser1 tokens print napplying phraser 2x join phraser2 phraser1 tokens clean text direito do consumidor origem bangu regional xxix juizado especial civel a o processo recte fundo de investimento em direitos credit rios applying phraser 1x direito do consumidor origem bangu regional xxix juizado especial civel a o processo recte fundo de investimento em direitos credit rios applying phraser 2x direito do consumidor origem bangu regional xxix juizado especial civel a o processo recte fundo de investimento em direitos credit rios a name 3 2 a 3 2 word2vec doc2vec our first models for generating vector representation for tokens and texts embeddings are variations of the word2vec 1 2 and doc2vec 3 methods in short the word2vec methods generate embeddings for tokens5 and that somehow capture the meaning of the various textual elements based on the contexts in which these elements appear doc2vec methods are extensions modifications of word2vec for generating whole text representations the word2vec and doc2vec methods are presented together in this section because they were trained together using the gensim package both models are compatible with the clean function but it is not necessary to use it before remember to at least make all letters lowercase please check our paper or gensim page https radimrehurek com gensim 3 8 3 models doc2vec html for more details preferably use gensim version 3 8 3 below we have a summary table with some important information about the trained models filenames doc2vec word2vec size windows w2v d2v dm distributed memory dm continuous bag of words cbow 100 200 300 15 w2v d2v dbow distributed bag of words dbow skip gram sg 100 200 300 15 using word2vec installing gensim python pip install gensim 3 8 3 loading w2v all the files for the specific model should be in the same folder python from gensim models import keyedvectors loading a w2v model w2v keyedvectors load folder name w2v d2v dm size 100 window 15 epochs 20 w2v w2v wv viewing the first 10 entries of juiz vector python w2v juiz 10 array 6 570131 1 262787 5 156106 8 943866 5 884408 7 717058 1 8819941 8 02803 0 66901577 6 7223144 dtype float32 viewing closest tokens to juiz python w2v most similar juiz ju za 0 8210258483886719 juiza 0 7306275367736816 ju z 0 691645085811615 ju zo 0 6605231165885925 magistrado 0 6213295459747314 mm ju za 0 5510469675064087 juizo 0 5494943261146545 desembargador 0 5313084721565247 mmjuiz 0 5277603268623352 fab ola melo feij o ju za 0 5043971538543701 using doc2vec installing gensim python pip install gensim 3 8 3 loading d2v all the files for the specific model should be in the same folder python from gensim models import doc2vec loading a d2v model d2v doc2vec load folder name w2v d2v dm size 100 window 15 epochs 20 inferring vector for a text python txt direito do consumidor origem bangu regional xxix juizado especial civel a o processo recte fundo de investimento em direitos credit rios tokens txt split txt vec d2v infer vector tokens epochs 20 txt vec 10 array 0 02626514 0 3876521 0 24873355 0 0318402 0 3343679 0 21307918 0 07193747 0 02030687 0 407305 0 20065512 dtype float32 a name 3 3 a 3 3 fasttext the fasttext 4 methods like word2vec form a class of models for creating vector representations embeddings for tokens unlike word2vec which disregards the morphology of the tokens and allocates a different vector for each one of them the fasttext methods consider that each one of the tokens is formed by n grams of characters or substrings in this way the representation of tokens which do not appear in the training set can be inferred from the representation of substrings also rare tokens can have more robust representations than those returned by the word2vec methods models are compatible with the clean function but it is not necessary to use it remember to at least make all letters lowercase please check our paper or the gensim page https radimrehurek com gensim models fasttext html for more details preferably use gensim version 4 0 1 below we have a summary table with some important information about the trained models filenames fasttext sizes windows fasttext cbow continuous bag of words cbow 100 200 300 15 fasttext sg skip gram sg 100 200 300 15 using fasttext installing gensim python pip install gensim 4 0 1 loading fasttext all the files for the specific model should be in the same folder python from gensim models import fasttext loading a fasttext model fast fasttext load folder name fasttext sg size 100 window 15 epochs 20 fast fast wv viewing the first 10 entries of juiz vector python fast juiz 10 array 0 46769685 0 62529474 0 08549586 0 09621219 0 09998254 0 07897531 0 32838237 0 33229044 0 05959201 0 5865443 dtype float32 viewing the first 10 vector entries of a token that was not in our vocabulary python fast juizasjashdkjhaskda 10 array 0 02795791 0 1361525 0 1340836 0 36824217 0 11549155 0 11167661 0 32045627 0 33701468 0 05198409 0 05513595 dtype float32 a name 3 4 a 3 4 bertikal please also check huggingface https huggingface co felipemaiapolo legalnlp bert for an easy way to use the model we call bertikal our bert base model cased 5 for brazilian legal language bert models are models based on neural network architectures called transformers bert models are trained with large sets of texts using the self supervised paradigm which is basically solving unsupervised problems using supervised techniques a pre trained bert model is capable of generating representations for entire texts and can be adapted for a supervised task e g text classification or question answering using the fine tuning mechanism bertikal was trained using the python package transformers https huggingface co transformers in its 4 2 2 version and its checkpoint made available by us is compatible with pytorch https pytorch org 1 9 0 although we expose the versions of both packages more current versions can be used in applications of the model as long as there are no relevant version conflicts our model was trained from the checkpoint made available in neuralmind s github repository https github com neuralmind ai portuguese bert by the authors of recent research 6 using bertikal installing torch e transformers python pip install torch 1 8 1 transformers 4 2 2 loading bert all the files for the specific model should be in the same folder python from transformers import bertmodel berttokenizer bert tokenizer berttokenizer from pretrained folder name do lower case false bert model bertmodel from pretrained folder name a name 4 a 4 demonstrations for a better understanding of the application of these models below are the links to notebooks where we apply them to a legal dataset using various classification models such as logistic regression and catboost bert notebook open in colab https colab research google com assets colab badge svg https colab research google com github felipemaiapolo legalnlp blob main demo bert bert tutorial ipynb word2vec notebook open in colab https colab research google com assets colab badge svg https colab research google com github felipemaiapolo legalnlp blob main demo word2vec word2vec tutorial ipynb doc2vec notebook open in colab https colab research google com assets colab badge svg https colab research google com github felipemaiapolo legalnlp blob main demo doc2vec doc2vec tutorial ipynb a name 5 a 5 references 1 mikolov t sutskever i chen k corrado g s and dean j 2013b distributed representations of words and phrases and their compositionality in advances in neural information processing systems pages 3111 3119 2 mikolov t chen k corrado g and dean j 2013a efficient estimation of word representations in vector space arxiv preprint arxiv 1301 3781 3 le q and mikolov t 2014 distributed representations of sentences and documents in international conference on machine learning pages 1188 1196 pmlr 4 bojanowski p grave e joulin a and mikolov t 2017 enriching word vectors with subword information transactions of the association for computational linguistics 5 135 146 5 devlin j chang m w lee k and toutanova k 2018 bert pre training of deep bidirectional transformers for language understanding arxiv preprint arxiv 1810 04805 6 souza f nogueira r and lotufo r 2020 bertimbau pretrained bert models for brazilian portuguese in 9th brazilian conference on intelligent systems bracis rio grande do sul brazil october 20 23 | ai |
|
f2e-spec | license https img shields io badge license apache 202 4eb1ba svg https www apache org licenses license 2 0 html f2elint https www npmjs com package f2elint html docs coding 1 html style guide md css docs coding 2 css style guide md javascript docs coding 3 javascript style guide md react docs coding 4 react style guide md node js docs coding 5 node style guide md typescript docs coding 6 typescript style guide md rax docs coding 7 rax style guide md git docs engineering 1 git md docs engineering 2 doc writing practice md docs engineering 3 doc changelog md linter lint javascript br typescript br react br rax br node js eslint https eslint org eslint config ali https www npmjs com package eslint config ali css stylelint https stylelint io stylelint config ali https www npmjs com package stylelint config ali git commitlint https commitlint js org commitlint config ali https www npmjs com package commitlint config ali markdownlint https github com davidanson markdownlint markdownlint config ali https www npmjs com package markdownlint config ali linter f2elint https www npmjs com package f2elint npm cli node js api git commit f2elint https www npmjs com package f2elint lint xx config ali linter issues https github com alibaba f2e spec issues prs https github com alibaba f2e spec pulls contributing md contributing md airbnb style guide https github com airbnb javascript google style guide https google github io styleguide code guide by mdo http codeguide co ecomfe spec https github com ecomfe spec conventional commits https www conventionalcommits org conventional changelog https github com conventional changelog conventional changelog blob master packages conventional changelog changelog md mdn web https developer mozilla org zh cn docs web react https reactjs org docs web https developers google com web linter formatter eslint https eslint org plugin parser https github com alibaba f2e spec tree main packages eslint config ali eslint config ali stylelint https stylelint io stylelint scss https github com kristerkari stylelint scss commitlint https commitlint js org conventional changelog conventionalcommits https github com conventional changelog conventional changelog tree master packages conventional changelog conventionalcommits markdownlint https github com davidanson markdownlint | linter guidelines specification | front_end |
ibird | english https zhuanlan zhihu com p 30961351 ibird npm version https img shields io npm v ibird svg style flat https npmjs org package ibird build status https img shields io travis yinfxs ibird svg style flat https travis ci org yinfxs ibird npm downloads http img shields io npm dm ibird svg style flat https npmjs org package ibird dependencies https david dm org yinfxs ibird svg https david dm org yinfxs ibird a lightweight and flexible web development framework getting started prerequisites install ibird from npm with yarn sh yarn add ibird or alternatively using npm sh npm install save ibird writing code we can put this code in a file named index js js const app require ibird newapp response app get ctx ctx body hello ibird app play if you run this with bash node index js you should see the ibird response printed out bash listen and serve on 0 0 0 0 3000 congratulations you ve just created an application using ibird next steps we prepared a wiki page https github com yinfxs ibird wiki you can find tons of useful things there contributing we actively welcome pull requests changelog changes are tracked as github releases https github com yinfxs ibird releases license ibird is apache 2 0 licensed https github com yinfxs ibird blob master license | koa ibird | front_end |
Intel-XDK-Photo-Gallery-App | intel xdk photo gallery app intel xdk tutorials png http hastuts com wp content uploads 2015 01 intel xdk tutorials png photo gallery app is a simple app that shows the basics of making an app using intel xdk the purpose of this app is to provide a basic starting point for html5 developers just getting started using the intel xdk to create mobile hybrid apps tutorials for more details go to hastuts com http hastuts com intel xdk all tutorials license this is licensed under the gplv3 http www gnu org licenses gpl html | front_end |
|
GwtMobile-UI | gwt mobile ui gwtmobile ui is a mobile ui widget system for gwt application gwtmobile ui is part of gwt mobile http github com dennisjzh gwtmobile a gwt mobile development platform live kitchen sink demo using a desktop browser demo gwtmobile com http demo gwtmobile com using a mobile browser demobile gwtmobile com http demobile gwtmobile com the demo only works with a webkit chrome or safari browser apps that use gwt mobile ui fantasy predictor http www touchonmobile com manage all you fantasy football teams with the help of the fantasy predictor android market http market android com details id com touchonmobile fantasypredictor itunes app store http itunes apple com us app fantasy predictor id405605997 gwt mobile phonegap a phonegap showcase app demonstrate all phonegap 0 9 3 functions android market http market android com details id com gwtmobile phonegap itunes app store http itunes apple com us app gwt mobile phonegap showcase id419032500 mt 8 ls 1 gwt mobile google group have a question post it on the gwt mobile google group http groups google com group gwtmobile | front_end |
|
Databricks | databricks this repo includes end to end tech stacks in databricks includes data lake house data lake delta lake data science data engineering and ml it includes cloud platform like azure this includes building etl pipelines ml as well | cloud |
|
udacity-DEND3-redshift | project s overview this project defines and populates sparkify s analytical database in an automated manner it processes log and song data stored in json files on s3 and uploads data into redshift database project s structure sql queries py a script that stores all sql queries necessary for creating tables and inserting data in sparkifydb create tables py a script that creates a database and all tables specified in sql queries py etl py an actual script with etl process run it to populate the tables in our database to better understand the process of transforming raw json data into unified star schema pattern in our database here s an overview of the structure of each table we will create songs data data song data here is the first record of raw song data artist id artist latitude artist location artist longitude artist name duration num songs song id title year arnnkdk1187b98bbd5 45 80726 zagreb croatia 15 9676 jinx 407 37914 1 sofnoqk12ab01840fc kutt free dj volume remix 0 after etl process this data will be divided into two separate dimension tables songs dimension song dimension table will look as follows song id title artist id year duration sofnoqk12ab01840fc kutt free dj volume remix arnnkdk1187b98bbd5 none 407 37914 artists dimension artist dimension table will look as follows artist id name location latitude longitude arnnkdk1187b98bbd5 jinx zagreb croatia 45 80726 15 9676 logs data data logs data here is the first record of raw logs data artist auth firstname gender iteminsession lastname length level location method page registration sessionid song status ts useragent userid sydney youngblood logged in jacob m 53 klein 238 07955 paid tampa st petersburg clearwater fl put nextsong 1 540558e 12 954 ain t no sunshine 200 2018 11 29 00 00 57 796 mozilla 5 0 macintosh intel mac os x 10 9 4 73 time dimension time dimension table will look as follows start time hour day week month year weekday 2018 11 29 00 00 57 796 0 29 48 11 2018 3 users dimension users dimension table will look as follows userid firstname lastname gender level 73 jacob klein m paid songplays fact songplay id start time user id level song id artist id session id location user agent 1 2018 11 29 00 00 57 796000 73 paid none none 954 tampa st petersburg clearwater fl mozilla 5 0 macintosh intel mac os x 10 9 4 applewebkit 537 78 2 khtml like gecko version 7 0 6 safari 537 78 2 execute in order to create the database and populate all necessary tables you should do the following steps 1 run etl py database schema information in sparkifydb is organized according to star schema design pattern as mentioned above it has one fact table songplays and four dimension tabes time artists songs users database schema is as follows sparkify db schema https i imgur com ms4l54b jpg | cloud |
|
web_api_with_cpp | table of content table of content table of content introduction introduction calculator front end calculator front end what is react what is react what is node js what is nodejs what is npm what is npm install node js and npm install nodejs and npm install react install react create react app create react app calculator back end calculator back end what is restbed what is restbed what is json library for modern c what is json library for modern c what is cmake what is cmake install restbed install restbed install json library for modern c install json library for modern c install a c compiler install a c compiler install cmake install cmake create calculator web api application create calculator web api application build calculator back end build calculator back end introduction in this course i m going to show you how c can be used in modern web development i will implement a simple calculator web application which has two parts calculator front end calculator back end in the first section i will use react https reactjs org to implement the calculator web interface and in the second section i will use the restbed https github com corvusoft restbed c framework to implement calculator web api through this course you will be familiar with single page applications javascript frameworks and rest api let s start the front end section calculator front end i m going to use react https reactjs org to implement the calculator user interface what is react react is a javascript library for building interactive web user interfaces in order to use react or any tools based in javascript you ll need to know how to use npm and node js what is node js javascript is a client side programming language which means it s processed in the browser with node js javascript can also be used outside the browser what is npm npm is a tool to download and install node js programs plugins modules and so on install node js and npm read the following article to install and use node js and npm how to install and use node js and npm mac windows linux https www taniarascia com how to install and use node js and npm mac and windows install react now to install react run the following command in the terminal npm install g create react app if successful you should be able to get version npm create react app version create react app there are a few ways to use and set up react fortunately facebook has created create react app a tool that brings everything you need to build a react app it will create a live development server and use webpack to automatically compile react and jsx run the following command in the terminal to create a new react app sh mkdir web api with cpp cd web api with cpp npx create react app calculator front end once that finishes installing move to the newly created directory and start the project sh cd calculator front end npm start once you run this command a new window will popup at localhost 3000 with your new react app start react project images image1 png start react project if you look into the project structure you ll see a public and src directory along with the regular node modules gitignore readme md and package json the src directory will contain all javascript codes in public our important file is index html which has a root div html element in react you can create components which are like custom reusable html elements to quickly and efficiently build user interfaces react also has two interesting concepts called state and props which is used to store and handle data i m going to design the user interface from bottom to up i m going to start off by designing a simple calculator button component now make src calculatorbutton js file and implement calculatorbutton react component javascript import react from react function calculatorbutton props return input type button export default calculatorbutton at the first line we ve imported react then we ve implemented the calculatorbutton react component and finally we ve exported it in order to be visible outside we can implement react components through classes or simple functions if a react component is implemented through functions it must get an argument react passes props of components through this argument in the body function a simple input html tag is returned this is jsx syntax jsx stands for javascript and xml through the jsx feature we can use and combine javascript and xml codes together if you want to know how a react component can be used you can modify app js file as following javascript import react from react import logo from logo svg import app css import calculatorbutton from calculatorbutton function app return div classname app header classname app header calculatorbutton header div export default app we ve imported the calculatorbutton component then we ve replaced the content of the header tag with calculatorbutton tag we can use react components like html tags now you can see calculatorbutton component is rendered at the center of the user interface calculatorbutton images image2 png calculatorbutton we need to display texts inside calculatorbutton in fact the calculatorbutton tag must get an attribute like caption hello world and then display the value of the caption attribute inside itself now set the caption attribute of calculatorbutton to hello world javascript calculatorbutton caption hello world react passes these attributes to components as props calculatorbutton components must get caption from props and then display it now update calculatorbutton javascript function calculatorbutton props return input type button value props caption we ve got the caption attribute through props data structure and then set it to the value attribute of input tag now you can see the caption attribute of calculatorbutton is rendered calculatorbutton images image3 png calculatorbutton now it turns to designing all calculator buttons create src calculatorpanel js file implement new calculatorpanel react component as follows javascript import react from react import calculatorbutton from calculatorbutton function calculatorpanel props const captions 7 8 9 4 5 6 1 2 3 0 c const calc buttons captions map value index return calculatorbutton caption value return div calc buttons div export default calculatorpanel we ve declared captions array which contains all calculator buttons captions then an array of calculatorbutton s is created through the map function and finally its returned inside a div html tag now update src app js to render new calculatorpanel component javascript import calculatorpanel from calculatorpanel function app return div classname app header classname app header calculatorpanel header div now you can see calculatorpanel is rendered calculatorpanel images image4 png calculatorpanel we must arrange calculator buttons in a way that it looks similar a calculator now declare new styles in src index css file css calculator grid container display grid grid template columns auto auto auto auto grid template rows auto auto auto auto grid gap 10px padding 10px calculator equal button grid column 1 span 4 we ve declared calculator grid container in order to arrange calculator buttons in a 4x4 grid and also calculator equal button is declared to style button in a way which its width equal to the calculator width now update calculatorpanel component to use these styles javascript function calculatorpanel props const captions 7 8 9 4 5 6 1 2 3 0 c const calc buttons captions map value index return calculatorbutton caption value return div classname calculator grid container calc buttons div we ve set classname attribute of div html tag element to calculator grid container in react we must use classname instead of class attribute in html tags because class is a reserved word in javascript now update the calculatorbutton component to use the calculator equal button style javascript function calculatorbutton props return input type button value props caption classname props caption calculator equal button null we ve set the classname attribute to the calculator equal button if props caption equal to the this feature of react is called conditional rendering through this feature we can use conditions in conjunction with html tags now you can see arranged calculator buttons in a grid is rendered calculatorgrid images image5 png calculatorgrid our calculator needs a display let s create src calculatordisplay js file and implement calculatordisplay component as follows javascript import react from react function calculatordisplay props return input readonly true value props text export default calculatordisplay we ve implemented the calculatordisplay component by an input html tag the readonly attribute has been set to true because the calculatordisplay value must change only by props text attribute and the user must not be able to change the value of calculatordisplay now we must add the calculatordisplay component at the top of calculatorpanel javascript import calculatordisplay from calculatordisplay function calculatorpanel props return div classname calculator grid container calculatordisplay calc buttons div now you can see the calculatordisplay component is rendered as follows calculatordisplay images image6 png calculatordisplay calculator buttons are disordered we must declare a new style for calculatordisplay in order to place it at top of the calculator and also it s width equal to the calculator width now add the following code at the end of the index css css calculator display grid column 1 span 4 we ve declared calculator display to style calculatordisplay now update calculatordisplay component as follows javascript function calculatordisplay props return input readonly true value props text classname calculator display we ve set the classname attribute of input html tag to the calculator display and you can see its result as follows calculatordisplay images image7 png calculatordisplay if you click on each button nothing happens we must implement the behavior of calculator buttons we re going to implement these behaviors in a new react component now create src calculator js file javascript import react from react import calculatorpanel from calculatorpanel class calculator extends react component operationhandler operation numberhandler number dothandler clearhandler equalhandler render return div classname calculator grid container calculatorpanel numberclicked this numberhandler bind this operationclicked this operationhandler bind this dotclicked this dothandler bind this equalclicked this equalhandler bind this clearclicked this clearhandler bind this div export default calculator we ve implemented calculator buttons handlers in the calculator component in the render function we ve added a calculatorpanel component and passed handler functions through the calculatorpanel attributes i should mention that react components didn t bind this object to its functions as you can see we must bind this object to function handlers explicitly calculatorpanel component must get function handlers of buttons and calls these handlers when buttons are clicked now update calculatorpanel component as follows javascript function calculatorpanel props const buttons text 7 handler props numberclicked 7 text 8 handler props numberclicked 8 text 9 handler props numberclicked 9 text handler props operationclicked divide text 4 handler props numberclicked 4 text 5 handler props numberclicked 5 text 6 handler props numberclicked 6 text handler props operationclicked multiply text 1 handler props numberclicked 1 text 2 handler props numberclicked 2 text 3 handler props numberclicked 3 text handler props operationclicked subtract text 0 handler props numberclicked 0 text handler props dotclicked text c handler props clearclicked text handler props operationclicked add text handler props equalclicked const calc buttons buttons map value index return calculatorbutton caption value text onclick value handler return div classname calculator grid container calculatordisplay calc buttons div we ve changed captions array to buttons array and every item of this array specified text and handler of buttons each handler is an arrow function which calls the buttons handler with proper arguments buttons handlers are passed through props data structure we ve updated the map function and the handler of the button is passed to the calculatorbutton component through the onclick attribute calculatorbutton component must get the handler and call it when the button is clicked now update the calculatorbutton component as follows javascript function calculatorbutton props return input type button value props caption classname props caption calculator equal button null onclick props onclick we ve bound the props onclick handler to the onclick event of input html tag and it causes every time the button is clicked props onclick is called the calculator component must display proper values in the calculatordisplay component when it s handlers are called now update calculator component as follows javascript class calculator extends react component constructor props super props this state result render return div classname calculator grid container calculatorpanel result this state result numberclicked this numberhandler bind this operationclicked this operationhandler bind this dotclicked this dothandler bind this equalclicked this equalhandler bind this clearclicked this clearhandler bind this div we ve implemented the constructor function of the calculator component in order to initialize the state object state is a special object in react components state is similar to props but it is private and fully controlled by the component state objects can contain several independent variables in the render function we have set the result attribute of calculatorpanel component to the result variable of state object every time the state is updated react renders the calculatorpanel component in order to display new results now update calculatorpanel component in a way that it gets the result attribute and updates the calculatordisplay component javascript function calculatorpanel props return div classname calculator grid container calculatordisplay text props result calc buttons div we ve set the text attribute of the calculatordisplay component to the props result and it causes the calculatordisplay component to be updated when props result is changed we re going complete the implementation of function handlers in calculator component we re going to start by numberhandler javascript class calculator extends react component constructor props super props this state result numbers numberidx 0 numberhandler number const newnumber this state numbers this state numberidx number this updatenumber newnumber updatenumber newnumber var newnumbers this state numbers newnumbers this state numberidx newnumber this setstate result newnumbers this state numberidx numbers newnumbers we ve added new variables to state object numbers array which has two empty strings numberidx variable which is set to 0 all operations of this calculator are binary operations which means operations need two numbers we re going to store these two numbers in numbers array the numberidx specifies which number the user has entered first number or second number the numberhandler is called when the user clicks on each number button and number is passed to the handler through the number argument in this function we ve updated the numbers array in state object bear in mind we must update state objects only through the setstate function now we re going to complete the implementation of dothandler function javascript dothandler const newnumber this state numbers this state numberidx if isnan newnumber return this updatenumber newnumber this function adds to the numbers in order to cast them to the float numbers and finally updates the numbers array in state object through updatenumber function which is implemented in the previous step now it turns to operationhandler javascript class calculator extends react component constructor props super props this state result numbers numberidx 0 operation operationhandler operation if this state numberidx 1 this equalhandler return if operation subtract operation add this state numbers this state numberidx this numberhandler operation subtract return this setoperation operation setoperation operation this setstate operation operation this nextnumber nextnumber const newidx this state numberidx 0 1 0 this setstate result this state numbers newidx numberidx newidx we ve added a new operation variable to the state object in order to store operations which user clicked the operationhandler is called when of of these operations and is clicked we ve updated the numberidx and operation variable also when users click on or buttons which didn t enter any numbers before then we add a or in front of the number and if a user enters two numbers and then clicks on one of the operation buttons then we call the equalhandler function which it equals to click on button now implement equalhandler javascript setresult result const newnumbers result const newnumberidx 0 this setstate result newnumbers newnumberidx numbers newnumbers numberidx newnumberidx operation equalhandler if this state numbers 0 this state numbers 1 return this props calculatorapi calculate this state numbers 0 this state numbers 1 this state operation result this setresult result we ve supposed that an object is passed through props object called calculatorapi through this object we can call the calculator api this object has a function called calculate which gets the first number second number operation and a handler as arguments we ve called this function in order to send numbers and operation to the back end api when the result is gotten ready the handler is called and the result is passed through the handler argument finally we re going to implement clearhandler javascript clearhandler this setstate result numbers numberidx 0 the clearhandler sets the state object to initial state now we must implement the calculatorapi component create src calculatorapi js class as follows javascript class calculatorapi calculate number1 number2 operation handler export default calculatorapi the calculatorapi is a simple javascript class it s not a react component as we need calculatorapi has a calculate function which gets two numbers an operation and a handler now implement calculate function as follows javascript class calculatorapi constructor serviceaddress this serviceaddress serviceaddress makeurl number1 number2 operation const resource operation number1 number2 return new url resource this serviceaddress calculate number1 number2 operation handler fetch this makeurl number1 number2 operation then res res json then response handler response result err handler err console log err the calculate function uses the fetch api in order to communicate with the calculator api calculatorapi also gets calculator api address thorough its constructor function we must create an object from calculatorapi and pass it to the calculator class now update app js javascript import calculator from calculator import calculatorapi from calculatorapi function app return div classname app header classname app header calculator calculatorapi new calculatorapi http 127 0 0 1 8080 header div we ve changed the calculatorpanel component to calculator component and also we ve created an object from the calculatorapi component and passed it to the calculator component through the calculatorapi attribute congratulations you ve completed the calculator front end section now let s dive into the calculator back end section calculator back end we re going to use restbed c framework to implement calculator web api what is restbed the restbed is a c 11 framework which enables us to implement restful web apis we re going to implement calculator web api in the form of a json web api so we need a c json library there are a lot of json libraries we ve selected json library for modern c what is json library for modern c it s a single header json library for c programming language you ll see it has an intuitive syntax also we need a cross platform build system which enables us to build calculator web api we re going to use cmake as a build system what is cmake cmake is a cross platform open source build system cmake is used to build test and package c software on many platforms like windows linux and mac install restbed if you have a linux machine you can run the following command in the terminal to install restbed sh sudo apt get update sudo apt install librestbed dev otherwise you can build and install it through cmake read restbed documentation for details https github com corvusoft restbed install json library for modern c json library for modern c is a single header library download it s header file through this link https github com nlohmann json install a c compiler c codes need to compile so we need a c compiler if you have a linux machine you might have gcc also you can install visual c for windows or clang for mac os install cmake if you have a linux machine you can run the following command in the terminal to install cmake sudo apt get install cmake otherwise you can install it through this link https cmake org download create calculator web api application create new directory in the web api with cpp directory called calculator back end sh cd mkdir calculator back end the fundamental concept in any restful api is the resource a resource is an object with a type associated data relationships to other resources and a set of methods that operate on it it is similar to an object instance in an object oriented programming language with the important difference that only a few standard methods are defined for the resource corresponding to the standard http get post put and delete methods while an object instance typically has many methods we can consider the calculator api as a resource restbed framework has a class called resource resource class helps us to implement resources in our restful api for each resource we must declare an object from the resource class and then implement methods of resource which we need and then bind these methods to the resource object we re going to do this stuff through a class first let s implement an interface for this class create calculator back end include directory sh cd calculator back end mkdir include now create new c header file in include directory called iresourcefactory h c pragma once include memory include restbed using namespace std using namespace restbed class iresourcefactory public virtual shared ptr resource get resource const 0 we ve created an include directory in order to place all c header files inside it then we ve implemented a class called iresourcefactory the i letter in front of its name stands for interface which means iresourcefactory is an interface class and all it s functions are abstract functions every resource factory class must implement this interface this interface has an abstract function called get resource every resource factory concrete class must prepare resource and finally deliver to the its customer through get resource function in more details means concrete classes must create an object from resource class and then implement all functions which it needs then bind functions to the resource object and finally return resource object in the get resource function now let s create a calcresourcefactory class create include calcresourcefactory h file c pragma once include iresourcefactory h class calcresourcefactory public iresourcefactory public calcresourcefactory shared ptr resource get resource const final private shared ptr resource resource we ve declared new a class which implements iresourcefactory interface called calcresourcefactory this class has a constructor function and also a member object called resource its member object is a shared pointer from resource class we ve said every resource factory must prepare an object from the resource class and then deliver it through the get resource function now let s implement it s constructor create new calcresourcefactory cpp source file note create source files inside calculator back end directory as follows c include calcresourcefactory h calcresourcefactory calcresourcefactory resource make shared resource resource set path operation add subtract multiply divide num1 0 9 0 9 num2 0 9 0 9 we ve initialized resource object to a newly allocated shared pointer from resource class every resource in restful apis must associate with an url we ve associated an url to resource object through set path function this url has three parts we ve labeled each part with following labels operation num1 num2 you ll see we can read each part of the path through these labels we can reach to the resource through an url like this add 2 3 we ve used regular expression syntax in order to filter each part of the url operation part must accept only add or subtract or multiply or divide parameters which specify the calculator functionality num1 and num2 parts must accept only float or integral numbers which specify calculator functionality operands every resource object must have a handler which is called when resource is requested by a client we can set method handler of resource object through set method handler function calcresourcefactory h c class calcresourcefactory public iresourcefactory private void get handler const shared ptr session session calcresourcefactory cpp c calcresourcefactory calcresourcefactory resource set method handler get const auto session get handler session void calcresourcefactory get handler const shared ptr session session we ve set get handler function to resource object as a method handler set method handler gets two arguments first argument specifies http method and second argument specifies function handler every time resource is requested get handler is called and an object is passed to the handler called session through the session object we can get any information about requests and send results to the client now let s implement get handler function calcresourcefactory h c include string include tuple class calcresourcefactory public iresourcefactory private tuple float float string get path parameters const shared ptr session session const calcresourcefactory cpp c tuple float float string calcresourcefactory get path parameters const shared ptr session session const const auto request session get request const auto operation request get path parameter operation auto num1 atof request get path parameter num1 c str auto num2 atof request get path parameter num2 c str return make tuple num1 num2 operation void calcresourcefactory get handler const shared ptr session session const auto num1 num2 operation get path parameters session we ve implemented a new function called get path parameters to get the values of labels in the url which is requested in the get path parameters we ve got the request object from the session object through the get request function then we ve got the operation num1 and num2 values of the url through the get path parameter function then we ve converted the num1 and num2 values to float numbers finally we ve returned the values through a tuple object in the get handler function we ve called the get path parameters function and passed the session object as an argument then we ve set the num1 num2 operation variable to the values of the tuple object which is returned did you see this feature before it s amazing this feature is called structured binding which was added in c 17 standard now we must prepare the result of calculation calcresourcefactory h c class calcresourcefactory public iresourcefactory private float calculate float num1 float num2 string operation calcresourcefactory cpp c float calcresourcefactory calculate float num1 float num2 string operation if operation add return num1 num2 else if operation subtract return num1 num2 else if operation multiply return num1 num2 else if operation divide return num1 num2 void calcresourcefactory get handler const shared ptr session session const auto num1 num2 operation get path parameters session auto result calculate num1 num2 operation we ve implemented a new function called calculate to calculate the result the calculate function gets num1 num2 and operation as arguments in the get handler function we ve called the calculate function and set the result variable to returned value now we must create a json data structure and put the result inside it in order to send to the user first copy the json hpp library into include directory which you ve downloaded in the previous steps then use json library to create json data structure calcresourcefactory h c class calcresourcefactory public iresourcefactory private string to json float result calcresourcefactory cpp c include sstream include iomanip include json hpp using namespace nlohmann string calcresourcefactory to json float result ostringstream str stream str stream result json jsonresult result str stream str return jsonresult dump void calcresourcefactory get handler const shared ptr session session const auto num1 num2 operation get path parameters session auto result calculate num1 num2 operation auto content to json result at first we ve included sstream iomanip and json hpp header files we ve implemented a new function called to json to get the result of calculation and put it inside a json data structure in the to json function first we ve formatted result variable through an stringstream object then we ve declared a new jsonresult variable from json class and then we ve initialized it with json data structure in an intuitive manner this json data structure has a variable called result which is set to formatted result variable finally we ve converted the json data structure to a string object and returned it in the get handler function we ve called the to json function and passed the result of calculation as argument then set the content variable to returned value finally we must send data to the client calcresourcefactory cpp c void calcresourcefactory get handler const shared ptr session session const auto num1 num2 operation get path parameters session auto result calculate num1 num2 operation auto content to json result session close ok content content length to string content size we ve sent data through calling the close function of session object close function gets three arguments http status code message body and http headers we ve passed ok as http status code result json data as message body and a std mulitmap object as http headers which contains a field called content length specifying length of message body now it turns to implement get resource function calcresourcefactory cpp c shared ptr resource calcresourcefactory get resource const return resource the get resource function just returns resource object now we must publish calculator resource through a web service the restbed framework has a class called settings to initialize settings of a web service now we re going to implement a new class in order to create settings of calculator web service we start off by designing its interface create new include iservicesettingsfactory h and implement this interface as follows c pragma once include memory include restbed using namespace std using namespace restbed class iservicesettingsfactory public virtual shared ptr settings get settings const 0 this interface is similar to the iresourcefactory interface we can abstract these interfaces more but it s beyond this course the iservicesettingsfactory interface has an abstract function called get settings every concrete class which implements this interface must prepare and create web service settings and then deliver settings through the get settings function now it turns to creating a calculator web service settings factory class create new include calcservicesettingsfactory h header file as follows c pragma once include iservicesettingsfactory h class calcservicesettingsfactory public iservicesettingsfactory public calcservicesettingsfactory shared ptr settings get settings const final private std shared ptr settings settings we ve declared a new class called calcservicesettingsfactory which implements iservicesettingsfactory interface also we ve declared a constructor function and a member object called settings the member object is a shared ptr from settings class let s create calcservicesettingsfactory cpp source file and implement constructor function as follows c include calcservicesettingsfactory h calcservicesettingsfactory calcservicesettingsfactory settings make shared settings settings set port 8080 settings set default header connection close settings set default header access control allow origin we ve created an object from settings class this object is used to specify web service settings we ve set port number and two default http headers through this object access control allow origin headers is set to in order to prevent cors errors for further information about this error you can read this article https developer mozilla org en us docs web http cors errors now implement get settings function as follows c shared ptr settings calcservicesettingsfactory get settings const return settings the get settings function only returns the settings object now we must create the calculator web service the restbed framework has a class called service which helps us to create web services and publish resources we re going to implement a new class to implement calculator web service through service class let s start by designing the interface create new include iservice h header file and implement iservice interface as follows c pragma once class iservice public virtual void start 0 we ve declared an iservice interface inside the iservice interface we ve declared an abstract function called start every concrete service class which implements this interface must get resources and settings objects and then initialize a web service and when the start function is called it must ignite the web service let s implement the concrete calculator service class create a new include calcservice h header file and implement calcservice class as follows c pragma once include iservice h include iresourcefactory h include iservicesettingsfactory h class calcservice public iservice public calcservice shared ptr iresourcefactory resource factory shared ptr iservicesettingsfactory settings factory void start final private service service shared ptr iservicesettingsfactory settings factory the calcservice class implements the iservice interface it has two member objects an object from the service class called service and a shared ptr object from iservicesettingsfactory interface called settings factory also it has a constructor function which gets two interfaces iresourcefactory and iservicesettingsfactory interfaces now let s start by implementing the constructor function create a calcservice cpp resource file and implement the constructor function as follows c include calcservice h calcservice calcservice shared ptr iresourcefactory resource factory shared ptr iservicesettingsfactory setting factory settings factory settings factory service publish resource factory get resource we ve initialized the settings factory member object with settings factory argument then we ve got the calculator resource object from the resource factory object and finally we ve published the calculator resource through calling the publish function of the service object now it turns to implementing the start function c void calcservice start service start settings factory get settings we ve called the get settings function of settings factory to get the settings object finally we ve passed the returned object to the start function through calling the start function calculator web service will be started now it s time to connect classes together create a new main cpp file and implement the main function as follows c include calcresourcefactory h include calcservicesettingsfactory h include calcservice h int main const int const char auto resource factory make shared calcresourcefactory auto settings factory make shared calcservicesettingsfactory calcservice service resource factory settings factory service start return exit success it s very simple as you see if software is developed in a modular manner everything becomes simple beautiful and self expressive congratulations you did it let s compile and build the calculator web api project build calculator back end we re going to build calculator back end through cmake create calculator back end cmakelists txt file and copy following code into it cmake minimum required version 3 0 project calculatorapi add executable calculatorapi main cpp calcresourcefactory cpp calcservice cpp calcservicesettingsfactory cpp target link libraries calculatorapi restbed target include directories calculatorapi public cmake source dir include set property target calculatorapi property cxx standard 17 now you can build project through running the following command in the terminal sh cmake hcalculator back end bcalculator back end build cmake build calculator back end build config release target all now you can run calculator api through running following command in the terminal calculator back end build calculatorapi congratulations the calculator back end is completed now you can work with calculator | reactjs react cplusplus javascript rest-api modern-cpp front-end back-end single-page-app | front_end |
phoneworld | phoneworld alt text https github com frankmartoccia phoneworld blob master src main resources logo 3 png general info phoneworld is an application that everyone should use before buying a new phone or just to feed the desire to know which smartphone is considered the best by the community the application s main functionalities are collecting organizing and presenting to users information related to various models of phone with all their specifications and the reviews of the users users can browse phones read their specifications add them to their watchlist and write a review for them but also interact with other users following them and view their watchlist technologies the application is developed with the following language java the dbmss used are mongodb neo4j the frameworks used are spring data mongodb javafx for the gui junit for the testing in order to work on the initial datasets scripts have been written in python execution in order to execute the application the following software is needed intellij idea https www jetbrains com idea download javafx https openjfx io to correctly configure javafx runtime components follow this https ashley tharp medium com solved error javafx runtime components are missing and are required to run this application ec4779eb796d guide mongodb https www mongodb com try download community neo4j https neo4j com download configure mongodb you can set the mongodb connection uri and the database name in the application properties file in the folder resources to import the collections found in the final datasets folder you can use the mongoimport https www mongodb com docs database tools mongoimport mongodb binary bin mongoimport commmand sh mongoimport options connection string file run mongoimport from the system command line not the mongo shell configure neo4j for the neo4j instance username password and uri can be set in the app java class to reconstruct the graph from the csv files provided in the neo4j folder in final datasets you can execute the following commands note phonesneo csv and usersneo csv are in the import directory of the database in this case if you haven t them you can either copy them or specify a different path create the nodes sh load csv with headers from file usersneo csv as row create u user set u id row id u username row username load csv with headers from file phonesneo csv as row create p phone set p id row id p name row name p brand row brand p picture row picture generate adds relationships sh with range 0 10 as phonesrange match p phone with collect p as phones phonesrange match u user with u apoc coll randomitems phones apoc coll randomitem phonesrange as phones foreach phone in phones create u adds phone generate follows relationship sh with range 0 10 as usersrange match u1 user with collect u1 as users usersrange match u2 user with u2 apoc coll randomitems users apoc coll randomitem usersrange as users foreach user in users create u2 follows user delete self follow relationships sh match u user rel follows u delete rel | server |
|
online-shopping-system | online shopping system updated project with extra features like wishlist list orders add reviews updated routing resolved search bug is available for premium youtube video https img youtube com vi glwfj67gi8a 0 jpg https youtu be glwfj67gi8a h3 things i code with h3 p img alt npm src https img shields io badge npm cb3837 style flat square logo npm logocolor white img alt html5 src https img shields io badge html5 e34f26 style flat square logo html5 logocolor white img src https img shields io static v1 label vue js amp message v2 6 amp color 4fc08d amp style flat square amp logo vue js amp logocolor ffffff alt vue js img alt django src https img shields io badge django 092e20 style flat square logo django logocolor white img alt flutter src https img shields io badge flutter 02569b style flat square logo flutter logocolor white img alt javascript src https img shields io badge javascript 323330 style flat square logo javascript logocolor f7df1e img alt mysql src https img shields io badge mysql 00000f style flat square logo mysql logocolor white img alt postgresql src https img shields io badge postgresql 316192 style flat square logo postgresql logocolor white img alt amazon aws src https img shields io badge amazon aws 232f3e style flat square logo amazon aws logocolor white img alt css src https img shields io badge css 239120 style flat square logo css3 logocolor white img alt sass src https img shields io badge sass cc6699 style flat square logo sass logocolor white img alt styled components src https img shields io badge styled components db7092 style flat square logo styled components logocolor white img alt git src https img shields io badge git f05032 style flat square logo git logocolor white img alt heroku src https img shields io badge heroku 430098 style flat square logo heroku logocolor white img alt docker src https img shields io badge docker 46a2f1 style flat square logo docker logocolor white img alt angular src https img shields io badge angular dd0031 style flat square logo angular logocolor white img alt mongodb src https img shields io badge mongodb 13aa52 style flat square logo mongodb logocolor white img alt nodejs src https img shields io badge nodejs 43853d style flat square logo node js logocolor white img alt google cloud platform src https img shields io badge google cloud platform 1a73e8 style flat square logo google cloud logocolor white img alt typescript src https img shields io badge typescript 007acc style flat square logo typescript logocolor white p h1 projects we develop h1 ul li b vue js b li li b nuxt js b li li b python b li li b django b li li b php and mysql b li li b angular js b li li b react js b li li b ai ml b li ul visit a href http www projectswall com project demo a h2 online shopping system advanced online shopping system is a dbms project with both admin and user layouts installation 1 install xampp or wampp 2 open xampp control panal and start apache and mysql 3 extract files in c xampp htdocs 4 open link localhost phpmyadmin 5 click on new at side navbar 6 give a database name as onlineshop hit on create button 7 after creating database name click on import 8 browse the file in directory online shopping system advanced database onlineshop sql 9 open any browser and type http localhost online shopping system advanced master 10 first register and then login 11 admin login details email admin gmail com and password 123456789 screenshots image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot adduser png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot adminproductadd png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot cartpage png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot homepage png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot loginmodal png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot mainpage png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot manageuser png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot manageuseradmin png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot productlistadmin png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot productpage png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot productzoom png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot register modal png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot searchfilter png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot searchpage png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot store png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot storepage png image of adduser https github com puneethreddyhc online shopping system advanced blob master screenshot storepage1 png contributor covenant code of conduct our pledge in the interest of fostering an open and welcoming environment we as contributors and maintainers pledge to making participation in our project and our community a harassment free experience for everyone regardless of age body size disability ethnicity sex characteristics gender identity and expression level of experience education socio economic status nationality personal appearance race religion or sexual identity and orientation our standards examples of behavior that contributes to creating a positive environment include using welcoming and inclusive language being respectful of differing viewpoints and experiences gracefully accepting constructive criticism focusing on what is best for the community showing empathy towards other community members examples of unacceptable behavior by participants include the use of sexualized language or imagery and unwelcome sexual attention or advances trolling insulting derogatory comments and personal or political attacks public or private harassment publishing others private information such as a physical or electronic address without explicit permission other conduct which could reasonably be considered inappropriate in a professional setting our responsibilities project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior project maintainers have the right and responsibility to remove edit or reject comments commits code wiki edits issues and other contributions that are not aligned to this code of conduct or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate threatening offensive or harmful scope this code of conduct applies both within project spaces and in public spaces when an individual is representing the project or its community examples of representing a project or community include using an official project e mail address posting via an official social media account or acting as an appointed representative at an online or offline event representation of a project may be further defined and clarified by project maintainers enforcement instances of abusive harassing or otherwise unacceptable behavior may be reported by contacting the project team all complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances the project team is obligated to maintain confidentiality with regard to the reporter of an incident further details of specific enforcement policies may be posted separately project maintainers who do not follow or enforce the code of conduct in good faith may face temporary or permanent repercussions as determined by other members of the project s leadership | server |
|
STM32F3xx_FreeRTOS_ModbusRTU_RS485 | stm32f3xx freertos modbusrtu rs485 lightweight modbus rtu slave lib using freertos hardware crc and rs485 dma tx and rx no timers no semaphores | os |
|
Concurnas | img width 80 src https github com concurnas concurnas blob master logo png the concurnas programming language concurnas is an open source programming language designed for building reliable scalable high performance concurrent distributed and parallel systems the main website including documentation for concurnas can be found at https concurnas com http concurnas com download page including prerequisites for concurnas can be found at https concurnas com download html https concurnas com download html discord discord gg jfhfsqr https discord gg jfhfsqr reddit r concurnas https www reddit com r concurnas authors and major contributors jason tatton http concurnas com concurnasltd leadership html jason tatton concurnas com jason tatton concurnas com founder of concurnas found a bug 1 check the existing issues https github com concurnas concurnas issues 2 talk to us at concurnas ltd https concurnas com concurnasltd contact html 3 raise an issue https github com concurnas concurnas issues reporting security issues please do not report security issues to the public issue tracker please send security issues to security concurnas com mailto security concurnas com want to contribute before starting to work on a feature or a fix please open an issue to discuss the use case or bug with us this can save both you and us a lot of time for any non trivial change we ll ask you to create a short design document explaining why is this change done what s the use case what will the api look like for new features what test cases should it have what could go wrong how will it roughly be implemented we ll happily provide code pointers to save you time this can be done directly inside the github issue or for large changes you can share a google doc with us http concurnas com concurnasltd contact html contributing we are friendly to pull requests and the team at concurnas ltd will assist you in anyway we can in order to protect yourself and other contributors to concurnas all contributors to concurnas must formally agree to abide by the developer s certificate of origin by signing on the bottom of the document to contribute 1 fork the concurnas github repository 2 make your changes 3 first time contributors sign contributors txt https github com concurnas concurnas blob master contributors txt by adding your github userid full name email address you can obscure your e mail but it must be computable by human and date 4 commit your changes 5 send a pull request 6 after you have signed once you don t have to sign future pull requests we can merge by checking to see your name is in the contributors file code change guidelines all code contributions should contain the following appropriate unit tests or modifications of existing tests if they are erroneous all new and existing unit tests must pass if appropriate updates to the reference manual we will republish the ebook and update the concurnas website http concurnas com docs manual html your code needs to run on all supported java versions at least 1 8 and operating systems windows and linux we will verify this but here are some pointers that will avoid surprises be careful when using features introduced in java 1 9 or later modules etc concurnas is java 1 8 compliant normalize file paths in tests watch out for linux vs windows non incompatibilities path separators newline s etc after pull request acceptance we will manage the release process building concurnas from scratch the build process for concurnas is more involved than for typical projects since much of concurnas itself is written in concurnas as such an iterative build is employed which bootstraps us to the point where concurnas can compile the remaining parts of itself luckily for us this iterative build is managed by gradle the following commands can be used in order to build concurnas from scratch windows gradlew bat clean build x test linux gradlew clean build x test it is recommended that one skip the automatic running of tests unless one has a machine which is powerful enough to run them this will output a release zip which will look like concurnas 1 13 108 zip recommended specs for machine to run test suite min java 1 9 for the build and testing 4 core cpu 16gb ram a gpu nvidia gtx 590 recommended java 1 9 for the build java 1 8 and java 1 9 some unit tests behave differently under each version 8 core cpu 32gb ram a gpu nvidia gtx 1060 3 gb developing building via an ide using an ide to make changes to concurnas is recommended development in eclipse the first time setup of concurnas for eclipse is quite involved plugins required antlr 4 ide 0 3 6 available in eclipse marketplace configured as follows antlrsetup https github com concurnas concurnas blob master tools eclipse antlrsetup png additional plugins recommended bytecode outline available in eclipse marketplace generating eclipse configuration 1 either gradlew eclipse or import the project into eclipse as a gradle project 2 you may need to force the antlr plugin configured as above to detect the g files under src main antlr com concurnas for the first time by opening them and re saving them this will clear up any errors about missing visitors etc 3 you may also need to refresh the gradle build in order to include the src derived directory as a directory containing source code for the build right click on build gradle gradle refresh gradle project 4 finally you may also need to replace the jre system library in the project javabuild path java build path libraries jre system library remove 1 8 and replace via the add library button generating remaining concurnas code run the following code in eclipse after each clean build in order to complete the build 1 generate the runtime cache com concurnas runtimecache runtimecachecreator 2 compile the concurnas libraries written in concurnas com concurnas build libcompilation 3 compile the unit test helpers written in concurnas com concurnas concc concc d bin test tests com concurnas tests helpers running unit tests it s recommended that you take the time to setup and run the unit tests within eclipse as it has good junit integration and you don t have to switch applications to run them interrupting your work flow all the unit tests can be run via the following command as a junit test suite in eclipse com concurnas compiler alltests specify the contents of the following file as vm arguments in order to run them correctly if running on java 1 8 vmarguments java8 txt https github com concurnas concurnas blob master tools eclipse vmarguments java8 txt if running on java 9 vmarguments java9 txt https github com concurnas concurnas blob master tools eclipse vmarguments java9 txt the sandbox unit test the sandbox unit test is a nice way of testing concurnas code end to end it also provides nice profiling stats on the phases of concurnas compilation 1 edit this file bytecodesandbox conc https github com concurnas concurnas blob master tests com concurnas compiler bytecode bytecodesandbox conc 2 run this unit test com concurnas compiler bytecode bytecodetestjustsandbox with the aforementioned vm arguments specified contingent upon your jdk msi windows installer concurnas makes use of a gradle plugin https github com i net software setupbuilder in order to produce a windows msi this plugin stipulates the following dependencies platform requirement all java 8 or higher gradle must run with java 8 windows wix toolset or wixedit must be installed linux lintian fakeroot br on ubuntu apt get install lintian fakeroot linux dpkg for creating debian packages apt get install dpkg linux rpm for creating rpm packages apt get install rpm a msi may be created with gradle as follows gradlew bat clean build msi x test | os |
|
sitcon-lottery | sitcon lottery a drawing lottery project for sitcon students information technology conference 2020 see https darkfanxing github io sitcon lottery | html-css-javascript | server |
ESP-MQTT-AWS-IoT-Core | esp mqtt aws iot core arduino examples of connecting esp8266 esp32 to aws iot core build status https travis ci com debsahu esp mqtt aws iot core svg branch master https travis ci com debsahu esp mqtt aws iot core license mit https img shields io github license debsahu esp mqtt aws iot core svg https opensource org licenses mit lastcommit https img shields io github last commit debsahu esp mqtt aws iot core svg style social https github com debsahu esp mqtt aws iot core commits master youtube esp mqtt aws iot core https img youtube com vi oznlsk7vu68 0 jpg https www youtube com watch v oznlsk7vu68 aws instructions follow instructions https github com debsahu esp mqtt aws iot core tree master doc readme md software requirements esp8266 use esp8266 arduino core version 2 5 0 beta2 or greater will not work on esp8266 arduino core v2 4 2 esp32 use the latest release version libraries needed platformio ini https github com debsahu esp mqtt aws iot core blob master platformio ini is included use platformio https platformio org platformio ide and it will take care of installing the following libraries library link purpose arduino mqtt https github com 256dpi arduino mqtt communication choose 1 pubsubclient https github com knolleary pubsubclient communication choose 1 arduinojson https github com bblanchon arduinojson example data formatting | server |
|
dynamic-interface-web | dynamic web interface inspired by this tweet from jordan singer https twitter com jsngr status 1641108150349873153 s 20 this is a t3 stack https create t3 gg project bootstrapped with create t3 app stack next js https nextjs org nextauth js https next auth js org prisma https prisma io tailwind css https tailwindcss com trpc https trpc io openai https openai com langchain js https github com hwchase17 langchainjs set up first make sure you run pnpm install next run cp env example env and then add your openai api key to env finally run pnpm dev and the app should be up at localhost 3000 how do i use this after spinning up the app try typing in some kind of interface into the input box for example create stripe s landing page or create a login page in the visual style of airbnb but with 000000 as the main color instead of their red hit enter or press the create button then you ll have to wait if you re using gpt 3 5 turbo you ll usually have to wait up to 1 min for gpt4 it s even longer there are ways of speeding this up but i haven t implemented them yet how do i deploy this follow t3 s deployment guides for vercel https create t3 gg en deployment vercel netlify https create t3 gg en deployment netlify and docker https create t3 gg en deployment docker for more information | ai |
|
esp-idf-sys | raw rust bindings for the esp idf sdk https docs espressif com projects esp idf en latest esp32 ci https github com esp rs esp idf sys actions workflows ci yml badge svg https github com esp rs esp idf sys actions workflows ci yml crates io https img shields io crates v esp idf sys svg https crates io crates esp idf sys documentation https img shields io badge docs esp rs brightgreen https esp rs github io esp idf sys esp idf sys index html matrix https img shields io matrix esp rs matrix org label join 20matrix color bec5c9 logo matrix https matrix to esp rs matrix org wokwi https img shields io endpoint url https 3a 2f 2fwokwi com 2fbadge 2fclick to simulate json https wokwi com projects 332188235906155092 highlights build is cargo driven and automatically downloads configures everything by default no need to download the esp idf sdk manually or set up a c toolchain supports both native esp idf build default as well as a platformio build option to use in a mixed rust c project check the documentation in the esp idf template https github com esp rs esp idf template crate you might want to also check out the type safe rust wrappes built on top of these raw bindings type safe wrappers for esp idf services https github com esp rs esp idf svc type safe wrappers for esp idf drivers https github com esp rs esp idf hal note esp idf sys s build script https doc rust lang org cargo reference build scripts html will download the esp idf its gcc toolchain and build it to show progress and build information about this process run cargo with the vv very verbose flag so that build script output is also displayed this is especially useful since the initial build will take a while build prerequisites follow the prerequisites https github com esp rs esp idf template prerequisites section in the esp idf template crate customizing how the esp idf sdk is built read the documentation here build options md more information for more information check out the rust on esp book https esp rs github io book the esp embedded training https github com esp rs espressif trainings the esp idf template https github com esp rs esp idf template project the esp idf svc https github com esp rs esp idf svc project the esp idf hal https github com esp rs esp idf hal project the embedded svc https github com esp rs embedded svc project the embedded hal https github com rust embedded embedded hal project the rust for xtensa toolchain https github com esp rs rust build the rust with std demo https github com ivmarkov rust esp32 std demo project | rust esp32 esp-idf | server |
wine_label_reader_toolkit | wine label reader toolkit computer vision project to read a label on a wine bottle using tensorflow opencv and tesseract the goal here is to make the computer read the label of a bottle of wine from a simple photo why is this complicated you may ask well first of all we can t call directly an ocr optical character recognition library like tesseract because the text on the label is distorted on a cylinder and because of that we can t extract correctly the characters and thus the words and sentences to use this package on your machine you have to install the dependencies in the requirement txt move the photo you want to train in the x folder and the masks in the y folder and the photo you want to read in the to read folder to configure the files location or the parameters of the u net use the config json file train model on images python main py train read images python main py read train then read images python main py train read live demo online https plural run winereader | computer-vision tensorflow opencv-python | ai |
aseeyazango.github.io | doctype html html title my first website title head body center h1 i welcome to my first wbsite i h1 center h1 aseeyah h1 h2 aseey zango h2 h3 aseeya kamaluddeen zango h3 h4 human h4 h5 woman h5 h6 legend h6 marquee my first wesite marquee body head html | server |
|
BoAT-X-Framework | boat x framework issue https img shields io github issues aitos io boat x framework https github com aitos io boat x framework issues forks https img shields io github forks aitos io boat x framework stars https img shields io github stars aitos io boat x framework github release https img shields io github license aitos io boat x framework https github com aitos io boat x framework blob master license join the chat at https gitter im boat x community https badges gitter im boat x community svg https gitter im boat x community utm source badge utm medium badge utm campaign pr badge utm content badge boat logo https aitos io github io boat x framework logo boat rgb horizontal 100 png this repository is archived boat has sailed toward new continent at boat projecttemplate https github com aitos io boat projecttemplate with all navigation documents at boat edgedocs https github com aitos io boat edgedocs this repository is archived introduction welcome to the official implementation and documents of boat x framework readme cn md boat x is a blockchain application framework for iot a big portion dedicated to a family of boat components where boat stands for blockchain of ai things and x is a placeholder for a set of middleware components services and tools that enable iot devices to access blockchain services boat x depicts the vision of a boat transferring trustworthy information from the iot data source to a data lake boat engine is an embedded blockchain client or an iot device wallet it s an iot device oriented lightweight blockchain client sdk written in c language boat engine may work alone or together with the boat anchor boat anchor in development is an edge service or a blockchain gateway that works with other boat components to relays transactions between an iot device and a blockchain network boat mast in development is a key management system or a blockchain did service for the iot boat mast provides tools for managing the public keys of the devices boat mast also verifies if the on chain data originates from a registered iot device why boat x contributes to a trustworthy foundation for iot data iot or the internet of things has now been transformed into infrastructure for typical everyday life numerous iot devices capture data via sensors sending data to the servers and executing commands such as a smart lock on a shared bike the worldwide industries have matured in realization that data surely is valuable provided that the data is truethful to be precise it is the information extracted from the data that is valuable if we review a typical use case of a commercial data producer the one who collects the data yet isn t solely responsible for analyzing the data and extracting the information it becomes crystal clear that when data is shared with the consumer a question gets raised about how that data producer can prove the data was captured from actual iot devices rather than something randomly generated in a computer hence the main purpose of boat x is to allow iot devices to access the blockchain services and thus extend the iot data lifecycle with a blockchain based credible proof at the very edge closest to where the data is being captured blockchain is a decentralized immutable ledger which is conducive for multiple entities who don t naturally trust each other to share data in a trusted way moreover once the data is saved on the blockchain that data becomes tamper resistant thoughout its lifecycle however there is still a missing gap between how data saved on a blockchain can ensure conformity to the data captured by the iot device iot devices capture data and transport it to a database within a cloud iot platform therefore there are three possible anchor attestation points to generate a blockchain based proof for the data the cloud the edge or the device if the cloud iot platform generates the data credibility proof on the blockchain the trusted anchor point is at the iot platform the iot platform itself must be trusted authority reputation etc if the anchor point is the edge converging data from part of the iot devices and relaying it to the cloud while generating the proof the edge must be trusted if the iot device generates the proof the device is the trust anchor point it s much more difficult and expensive to tamper with each in field device than infringing or tampering with the data in the cloud database thus the closer the anchor point is to the data source the higher trustworthiness the proof will become the boat x family offers the essential components to establish a trust anchor point at the device side closest to the data source that s why boat x s productiveness with a blockchain contributes to the trustworthy foundation of iot data what makes boat x different most blockchain or baas blockchain as a service variants deliver a node and or client wallet software however this software was designed for personal computers cloud servers or smartphones and is usually written in high level languages like go java javascript python etc some require a cumbersome virtual machine or interpreter to execute and some even have to download code dynamically at runtime meanwhile iot devices are not as powerful and typically run on an rtos or lightweight linux due to constrained resources most iot devices could only support native c language applications and thus can hardly access blockchain services boat x family implements the boat engine a lightweight c language multi chain client supporting a number of wireless modules and chipsets as well as the boat anchor for gateway relay and the boat mast for key management it extends the blockchain capability from computers and cellphones onto iot devices how boat x works boat x has two main operating methods the direct approach direct approach https aitos io github io boat x framework en us images boat readme direct approach png the direct approach is suitable for iot devices capable of direct access to a blockchain node the iot device sends data to the iot platform and by calling boat engine api sends the hash of the data to the blockchain the data consumer later compares the on chain hash to the hash of the data normally stored on the iot platform to determine its data credibility the consumer also requests boat mast to check if the data comes from a registered device the indirect approach indirect approach https aitos io github io boat x framework en us images boat readme indirect approach png the indirect approach accomodates iot devices that can not otherwise directly access the blockchain node due to various possible reasons such as an ip whitelist restriction and unmatched cryptographic algorithm capability by calling boat engine apis the iot device signs the data with the device s cryptographic key it then send the signature to an intermediate edge gateway the gateway which runs the boat anchor relays the signature i e digital fingerprint to the blockchain it also requests boat mast to check if the data come from a registered device the data consumer could later verify the data stored on the iot platform against the on chain signature code directories boat engine sdkroot build directory to store object and executable files demo demo application docs api reference manual vendor special vendor dependency common universal soft algorithms implementation platform dependency of different platforms include header files for application to include lib lib files for application to link with sdk sdk source third party third party libraries include header files for sdk internal use protocol blockchain client protocol implementation rlp rlp encoder utilities utility apis wallet sdk entry api implementation tests test cases tools tools for generating c interface from contract abi note build and lib are created in building boat anchor coming soon boat mast coming soon release and status releases for a complete list of new features please read release notes https github com aitos io boat x framework releases project status reports for project status updates please visit boat project status update reports https github com aitos io project status update supported blockchains and iot modules see supported list supported list md for supported blockchains and iot modules documentation blockchain iot module whitepaper see boat blockchain iot module product white paper https aitos io github io boat x framework en us boat blockchain iot module product white paper en pdf blockchain iot module technology and application see boat blockchain iot module technology and application https aitos io github io boat x framework en us boat blockchain iot module technology and application en pdf full documents for full documents please visit boat documentation https aitos io github io boat x framework faq coming soon community the boat x framework community can be found at contact mail info aitos io report bugs boat x issues https github com aitos io boat x framework issues medium https aitos io medium com linkedin https www linkedin com company aitos io contribution we are glad to have contributors out of the core team contributions including but not limited to style bug fixes implementation of features proposals of schemes algorithms and thorough documentation are welcomed please refer to our contribution guideline contributing md for more information find development documentation at boat documentation https aitos io github io boat x framework submit pull requests at pull requests https github com aitos io boat x framework pulls license apache license 2 0 see license license join us as a boat mariner and build a pioneering spirit on your iot blockchain path open source by aitos io http www aitos io aitos io https aitos io github io boat x framework logo aitos logo 100 png http www aitos io | blockchain iot aitos boat wallet | blockchain |
AndroidIctQuestion | androidictquestion skill development for mobile game and application br a href https www buymeacoffee com smkamal target blank img src https cdn buymeacoffee com buttons v2 default blue png alt buy me a coffee style height 60px important width 217px important a br | front_end |
|
media-queries | media queries | front_end |
|
BlogBuzz | screencapture localhost 4650 swagger ui 2022 12 27 10 54 53 1 https user images githubusercontent com 61531836 209617618 27a2d72f bf41 4705 8227 eb638bcb759b png | java swagger blog blogging spring-boot spring-data-jpa spring-security springboot springboot-webapplication | server |
parlevision | parlevision parlevision is a graphical computer vision pipeline editor it was based on ideas which came about while designing systems for emergent interaction in which the rapid prototyping of computer vision pipelines played an important role the source code here is a complete rewrite of its predecessor also called parlevision of which examples can be seen at http hmi ewi utwente nl showcases parlevision which was windows only and not open source the primary design goals were the ease of use in relation to composing and editing of computer vision pipelines and multi platform support parlevision is written in c and uses the qt library for the gui and to abstract away the underlying operating system it uses the opencv library for its computer vision algorithms while the primary focus in on ease of use and rapid prototyping the pipeline model can take advantage of modern processors and scales well on multiple cores right now parlevision is in alpha stage of development because of this we do not distribute a precompiled version yet below are the compilation instructions beware these are not for the faint of heart and some experience in compiling c c software is recommended screenshots parlevision5 in windows7 screenshot https github com utwente parlevision raw master images screenshots parlevision5 win7 png parlevision5 in macosx 10 6 screenshot https github com utwente parlevision raw master images screenshots parlevision5 macosx png building parlevision depending on your platform there are different options for building this will first describe the general process of building parlevision which is similar for most platforms below are paragraphs describing the exact process for some of the platforms source code and license this project is open source and hosted on github at http github com utwente parlevision it is licenced under the lgpl version 3 license can be found in the root directory or alternatively at http www gnu org licenses lgpl html supported operating systems parlevision been compiled and seen working on windows xp windows vista windows 7 macosx 10 6 and linux ubuntu 9 10 as you can see in the screenshots below however we do not give any guarantees that the current source will build or work correctly on any of these platforms main development is done on a windows 7 machine using qtcreator so this will in general be the best supported platform and development environment windows 7 using visual studio 10 is also tested regularly supported compilers parlevision is completely written in c a standard c compiler which is able to build qt should suffice tested compilers are visual studio 2010 and gcc mingw 4 4 parlevision has only been compiled in 32 bit mode on x86 compatible computers an amd64 port should be straightforward but has not been tested yet other platforms such as arm should be possible as parlevision depends on qt and opencv both of which support arm dependencies parlevision depends on qt 4 6 opencv 2 3 1 no other versions supported read known issues below libqxt 0 6 parlevision core depends on the qxtcore library for advanced logging features qt and qt sdk parlevision has been built and tested using the qtsdk v1 0 and v1 1 using qtcreator and mingw it has been built using all qt versions 4 6 parlevision core depends on qtcore and qtxml while parlevision gui depends on the qtgui opencv parlevision only supports the latest version of opencv opencv 2 3 1 libqxt parlevision core depends on the qxt library for advanced logging features follow the build instruction in the documentation configure make make install libqxt will add itself to the qt features directory in order for correct makefile generation by qmake you need to run qmake on parlevision all pro after installation of libqxt install dependencies 1 download and install the qtsdk from http qt nokia com downloads we recommend qt sdk version 1 1 0 but 1 1 4 should also work but is not tested as thoroughly 2 install opencv 2 3 1 this depends on your os mac os x the easiest way is to install through macports windows download binaries from http opencv willowgarage com it includes mingw and visual studio binaries 3 download compile and install qxt from http dev libqxt org libqxt fixing build environment if your libraries are in different locations than the default they will most certainly be you will have to tell the build system where to find them you have to edit common pri in the root of your parlevision directory to fill out the correct library locations choose development evironment a using qt creator all platforms open parlevision all pro in the qtcreator ide choose whether you want to build in debug or release mode using the build run target selector and then select build project parlevision b using make unix c using xcode d using visual studio 2010 required for ms kinect sdk plugin to work see below for a complete description on how to build parlevision5 in visual studio 2010 building parlevision5 with visual studio 2010 this paragraph will describe how to compile parlevision5 with visual studio 2010 normally we would download already compiled binaries for msvc2010 from the qt nokia website however binaries for msvc2010 are not available yet so we first need to compile qt 4 7 x with vs2010 here we will describe a step by step guide on how to compile qt 4 7 x for this example i used 4 7 3 for msvc2010 manually this guide was adapted from http www holoborodko com pavel 2011 02 01 how to compile qt 4 7 with visual studio 2010 install msvc2010 express will not work since it does not support add ins which you need for qt integration so you need the professional or ultimate edition install appropriate software from qt for windows requirements list these are perl and the directx sdk you also need the windows sdk but this already comes with vs2010 download and install the qt visual studio add in from the qt website download and extract qt 4 7 3 source code and move or copy the contents of the folder qt everywhere opensource src 4 7 3 to the directory where you intend to install qt in my case this is c qt 4 7 3 set up the environmental variables you can add these to the environment variables using the windows gui or use the set command in the command prompt you would need to call set everytime you open a command prompt window so adding them to the permanent system variables is preferrable qtdir c qt 4 7 3 qmakespec win32 msvc2010 and update the path variable to include qtdir bin to compile qt using multiple cores download the latest version of jom from ftp ftp qt nokia com jom extract the jom files to c qt jom folder start visual studio 2010 command prompt start programs microsoft visual studio 2010 visual studio tools visual studio command prompt run the following commands in it cd c qt 4 7 3 configure debug and release opensource platform win32 msvc2010 jom jom exe j 4 where 4 is the number of threads use more if you have more hardware cores threads available install opencv compilee it yourself using cmake and vs2010 see the instructions on the opencv website if you want to use qtcreator to enable debugging in qtcreator when compiling with vc compiler see http doc qt nokia com qtcreator snapshot creator debugger engines html known issues first of all see the issue tracker on our github page https github com utwente parlevision issues there seems to be something wrong with the prebuilt binaries in the opencv 2 3 1 build x86 mingw release directory which generate an error the error is procedure entry point znst9exceptiond2ev could not be located in dynamic link library libstdc 6 dll it is solved by building the binaries from the opencv source using cmake and mingw linux and macosx ports are not maintained at all at the moment building them will probably take some work opencv camera support sometimes fails on macosx see http stackoverflow com questions 3363637 opencv 2 1 mac os x webcam issues 32 and 64 bit also there are numurous problems with the macports versions of opencv 2 0 and 2 1 however parlevision does built with opencv2 2 0 on maxosx 10 6 using brew to be continued icon set icons symbolize icon set version 1 0 http dryicons com free icons preview symbolize icons set | ai |
|
ChatGPT-RedditBot | chatgpt reddit bot awesome https cdn rawgit com sindresorhus awesome d7305f38d29fed78fa85652e3a63e154dd8e8829 media badge svg https github com sindresorhus awesome welcome to the chatgpt redditbot i m excited to share this project with you this reddit bot is written in python and uses the chatgpt wrapper https github com mmabrouk chatgpt wrapper by mmabrouk https github com mmabrouk to generate answers via the chatgpt https chat openai com chat model which is a large language model trained by openai https openai com to reddit threads and submissions i designed this simple bot to provide helpful and engaging responses to users on reddit making it a valuable addition to any subreddit this code was mainly generated with chatgpt itself the bot allows the developer to have control over various features such as filters to remove errors from chatgpt defining personalities for the bot to use when generating responses customizable delays between responses and the ability to specify which subreddit s the bot should operate in to use the bot you will need to host it on your own local machine or server once it is set up the bot will scan the subreddit s of your choice for new threads and submissions when it finds an unanswered thread or submission it will use the chatgpt large language model to generate a response and post it as a comment on the reddit thread if you have any feedback or suggestions for improvements i would love to hear them thank you for visiting my github page and considering my project view on github https github com popdaddygames chatgpt redditbot support on patreon https patreon com popdaddygames utm medium clipboard copy utm source copylink utm campaign creatorshare creator utm content join link br installation note you may need to use pip3 instead of pip or python3 instead of python depending on your installation environment eg macos step 1 create an openai account https beta openai com account api keys step 2 generate a reddit client id secret key https www reddit com prefs apps step 3 download chatgpt redditbot https github com popdaddygames chatgpt redditbot git navigate to chatgpt redditbot py and input your keys variables delay 1 personality if you had to answer this question even if you had to make up an answer what would you say subreddit to monitor subreddit name client id reddit client id client secret reddit secret key username reddit username password reddit password user agent python com example chatgpt redditbot v1 by u username step 4 install dependencies bash pip install setuptools bash pip install git https github com mmabrouk chatgpt wrapper bash playwright install firefox bash chatgpt install step 5 run the chatgpt redditbot bash python chatgpt redditbot py | python bot chatbot chatgpt language-model openai openai-api reddit | ai |
Landscape | landscape rishidot research will publish the landscape of vendors from the point of view of their research focus the data in this repo will be continuously updated and we advise you to check back regularly we also strongly encourage vendors to do pull request to update their information or in case they are left out from the landscape if you are submitting any information through pull request please provide necessary evidence to support it we are in the early stages of building a research firm focussed on openness and open data our strategy is bound to evolve as we grow each technology landscape will be represented by a yaml file some of the vendors may be listed in more than one landscape | server |
|
ScienceKit | 13 13 sciencekit png sciencekit an open source framework for mathematics science and engineering written in swift objective c with bridging to c and c for macos high sierra for development on macos watchos tvos and ios with inspiration from scipy package for python 1 1 scipy library main repository https github com scipy scipy | os |
|
goling | goling go report card https goreportcard com badge github com gyuho goling style flat square https goreportcard com report github com gyuho goling build status https img shields io travis gyuho goling svg style flat square https travis ci org gyuho goling godoc https img shields io badge godoc documentation blue svg style flat square https godoc org github com gyuho goling package goling provides natural language processing tools | ai |
|
llm | llm pypi https img shields io pypi v llm svg https pypi org project llm documentation https readthedocs org projects llm badge version latest https llm datasette io changelog https img shields io github v release simonw llm include prereleases label changelog https llm datasette io en stable changelog html tests https github com simonw llm workflows test badge svg https github com simonw llm actions query workflow 3atest license https img shields io badge license apache 202 0 blue svg https github com simonw llm blob main license discord https img shields io discord 823971286308356157 label discord https datasette io discord llm homebrew https img shields io homebrew installs dy llm color yellow label homebrew logo homebrew https formulae brew sh formula llm a cli utility and python library for interacting with large language models both via remote apis and models that can be installed and run on your own machine run prompts from the command line https llm datasette io en stable usage html executing a prompt store the results in sqlite https llm datasette io en stable logging html generate embeddings https llm datasette io en stable embeddings index html and more full documentation llm datasette io https llm datasette io background on this project llm ttok and strip tags cli tools for working with chatgpt and other llms https simonwillison net 2023 may 18 cli tools for llms the llm cli tool now supports self hosted language models via plugins https simonwillison net 2023 jul 12 llm accessing llama 2 from the command line with the llm replicate plugin https simonwillison net 2023 jul 18 accessing llama 2 run llama 2 on your own mac using llm and homebrew https simonwillison net 2023 aug 1 llama 2 mac catching up on the weird world of llms https simonwillison net 2023 aug 3 weird world of llms llm now provides tools for working with embeddings https simonwillison net 2023 sep 4 llm embeddings build an image search engine with llm clip chat with models with llm chat https simonwillison net 2023 sep 12 llm clip and chat installation install this tool using pip bash pip install llm or using homebrew https brew sh bash brew install llm detailed installation instructions https llm datasette io en stable setup html getting started if you have an openai api key https platform openai com account api keys you can get started using the openai models right away as an alternative to openai you can install plugins https llm datasette io en stable plugins installing plugins html to access models by other providers including models that can be installed and run on your own device save your openai api key like this bash llm keys set openai this will prompt you for your key like so enter key paste here now that you ve saved a key you can run a prompt like this bash llm five cute names for a pet penguin 1 waddles 2 pebbles 3 bubbles 4 flappy 5 chilly read the usage instructions https llm datasette io en stable usage html for more installing a model that runs on your own machine llm plugins https llm datasette io en stable plugins index html can add support for alternative models including models that run on your own machine to download and run llama 2 13b locally you can install the llm mlc https github com simonw llm mlc plugin bash llm install llm mlc llm mlc pip install pre force reinstall mlc ai nightly mlc chat nightly f https mlc ai wheels llm mlc setup then download the 15gb llama 2 13b model like this bash llm mlc download model llama 2 7b chat alias llama2 and run a prompt through it bash llm m llama2 difference between a llama and an alpaca you can also start a chat session with the model using the llm chat command bash llm chat m llama2 chatting with mlc chat llama 2 13b chat hf q4f16 1 type exit or quit to exit type multi to enter multiple lines then end to finish using a system prompt you can use the s system option to set a system prompt providing instructions for processing other input to the tool to describe how the code a file works try this bash cat mycode py llm s explain this code help for help run llm help you can also use python m llm help | llms openai ai | ai |
Yo | yo yo v3 yo ui yo v3 pure yo intro getting started supported browsers attention documentation and demo versioning bugs and feature requests author copyright and license a name intro a yo min css yo min js yo yo a name getting started a http yo doyoe com doc getting started html yo yo a name supported browsers a ios6 0 android4 0 latest stable chrome safari opera ie10 a name attention a yo html5 doctype doctype html viewport yo mobile first meta name viewport content initial scale 1 minimum scale 1 maximum scale 1 user scalable no maximum scale 1 user scalable no minimum scale 1 yo 2 border px border rem border box before after before after webkit box sizing border box moz box sizing border box box sizing border box pc flex flex flex display flex flex a name documentation and demo a view demo http doyoe github io yo demo view documentation http doyoe github io yo doc yo ydoc npm install ydoc g registry https registry npm taobao org ydoc build doc a name versioning a yo semver http semver org lang zh cn releases tag https github com doyoe yo releases changelog changelog md a name bugs and feature requests a yo yo issues https github com doyoe yo issues new pull requests https github com doyoe yo pulls a name author a https github com doyoe http weibo com doyoe http www doyoe com ymfe team https github com ymfe a name copyright and license a yo the mit license http opensource org licenses mit creative commons http creativecommons org licenses by 4 0 | css scss es6 react frontend-framework scss-framework ui-components mobile-first mobile-web mobile-app | front_end |
xlearn | img src https github com aksnzhy xlearn raw master img xlearn logo png width 400 hex pm https img shields io hexpm l plug svg licence project status https img shields io badge version 0 4 4 green svg what is xlearn xlearn is a high performance easy to use and scalable machine learning package that contains linear model lr factorization machines fm and field aware factorization machines ffm all of which can be used to solve large scale machine learning problems xlearn is especially useful for solving machine learning problems on large scale sparse data many real world datasets deal with high dimensional sparse feature vectors like a recommendation system where the number of categories and users is on the order of millions in that case if you are the user of liblinear libfm and libffm now xlearn is your another better choice get started english http xlearn doc readthedocs io en latest index html get started http xlearn doc cn readthedocs io en latest index html performance img src https github com aksnzhy xlearn raw master img speed png width 800 xlearn is developed by high performance c code with careful design and optimizations our system is designed to maximize cpu and memory utilization provide cache aware computation and support lock free learning by combining these insights xlearn is 5x 13x faster compared to similar systems ease of use img src https github com aksnzhy xlearn raw master img code png width 600 xlearn does not rely on any third party library and users can just clone the code and compile it by using cmake also xlearn supports very simple python and cli interface for data scientists and it also offers many useful features that have been widely used in machine learning and data mining competitions such as cross validation early stop etc scalability img src https github com aksnzhy xlearn raw master img scalability png width 650 xlearn can be used for solving large scale machine learning problems xlearn supports out of core training which can handle very large data tb by just leveraging the disk of a pc how to contribute xlearn has been developed and used by many active community members your help is very valuable to make it better for everyone please contribute if you find any bug in xlearn contribute new features you want to see in xlearn contribute to the tests to make it more reliable contribute to the documents to make it clearer for everyone contribute to the examples to share your experience with other users open issue if you met problems during development note that please post iusse and contribution in english so that everyone can get help from them what s new 2019 10 13 andrew kane https github com ankane add ruby bindings https github com ankane xlearn for xlearn 2019 4 25 xlearn 0 4 4 version release main update support python dmatrix better windows support fix bugs in previous version 2019 3 25 xlearn 0 4 3 version release main update fix bugs in previous version 2019 3 12 xlearn 0 4 2 version release main update release windows version of xlearn 2019 1 30 xlearn 0 4 1 version release main update more flexible data reader 2018 11 22 xlearn 0 4 0 version release main update fix bugs in previous version add online learning for xlearn 2018 11 10 xlearn 0 3 8 version release main update fix bugs in previous version update early stop mechanism 2018 11 08 xlearn gets 2000 star congs 2018 10 29 xlearn 0 3 7 version release main update add incremental reader which can save 50 memory cost 2018 10 22 xlearn 0 3 5 version release main update fix bugs in 0 3 4 2018 10 21 xlearn 0 3 4 version release main update fix bugs in on disk training support new file format 2018 10 14 xlearn 0 3 3 version release main update fix segmentation fault in prediction task update early stop meachnism 2018 09 21 xlearn 0 3 2 version release main update fix bugs in previous version new txt format for model output 2018 09 08 xlearn uses the new logo img src https github com aksnzhy xlearn raw master img xlearn logo png width 300 2018 09 07 the chinese document http xlearn doc cn readthedocs io en latest index html is available now 2018 03 08 xlearn 0 3 0 version release main update fix bugs in previous version solved the memory leak problem for on disk learning support txt model checkpoint support scikit learn api 2017 12 18 xlearn 0 2 0 version release main update fix bugs in previous version support pip installation new documents faster ftrl algorithm 2017 11 24 the first version 0 1 0 of xlearn release | machine-learning statistics data-science data-analysis factorization-machines ffm fm | ai |
algebra-front-end-developer-course-workbook | algebra front end developer course workbook workbook for my take on algebra s front end developer course do you want to contribute read the contribution guidelines guidelines md to find out how hall of fame these are notable contributors to the repository bronze is 10 20 commits silver is 20 30 commits gold is 30 40 commits platinum is 40 50 commits unicorn is over 50 commits want to see your name on the leaderboard try contributing by submitting new content and fixing known issues foosball82 https img shields io badge foosball82 unicorn ff007f svg snayxts https img shields io badge snayxts unicorn ff007f svg dstrekelj https img shields io badge dstrekelj unicorn ff007f svg ervinbesic https img shields io badge ervinbesic unicorn ff007f svg ajelinic https img shields io badge ajelinic platinum e5e4e2 svg hranic https img shields io badge hranic bronze cd7f32 svg matijamedven https img shields io badge matijamedven bronze cd7f32 svg ivanb475 https img shields io badge ivanb475 bronze cd7f32 svg iggykemph https img shields io badge iggykemph bronze cd7f32 svg marijapavic https img shields io badge marijapavic bronze cd7f32 svg kristina456 https img shields io badge kristina456 bronze cd7f32 svg table of contents 1 module 1 introduction to modern front end development module 1 intro 2 module 2 html module 2 html 3 module 3 css module 3 css 4 module 4 javascript module 4 js 5 module 5 tools module 5 tools 6 module 6 react js module 6 react | front_end |
|
fwd | front end web development class materials this is a repository of class materials i have created for the lectures and labs of my front end web development https www noisebridge net wiki front end web development class how to use this repository often in class i will ask that you download this repository and use some files located in specific folders to be able to follow along with my lecture the best way to use this repository is to clone it shell git clone https github com jeffreyatw fwd git once you clone it i would recommend not making any changes to the repository this includes forking it and maintaining a parallel copy if you want to do your own work i recommend keeping a folder entirely outside of this repository and creating one folder per each class there this is because it will be harder to reconcile further updates to this repository if your changes get in the way of mine to update this repository to the latest version cd into the fwd folder and run shell git pull if this command somehow fails or says that there are conflicts i would recommend deleting the fwd folder and starting over by cloning the repository again | front_end |
|
Groceries-Website | groveries website an website which helps consumer to order groceries from anywhere | cloud |
|
Udacity-ML-Capstone | udacity capstone project machine learning nanodegree 2018 this directory contain all code that was used for the udacity machine learning engineer nanodegree https www udacity com course machine learning engineer nanodegree nd009t program the folder notebooks notebooks contains all of the jupyter notebooks used in the project the links to the project proposal and the write up of the final project are below the project proposal proposal proposal pdf proposal proposal pdf the final project report report report pdf report report pdf additionally you will find urbansound dataset sample subsection of the data used within the project so you don t need to download the full dataset the full dataset can be downloaded from here https urbansounddataset weebly com urbansound8k html | ai |
|
ITSpecialistCertificationPython | it specialist certification python study guide this repo is in development it is used to keep resources course references and code examples while preparing for the information technology specialist its python certification exam by certiport pearson vue trainees preparing for the its python exam should be able to recognize and write syntactically correct python code recognize data types supported by python and recognize and write python code that will logically solve a given problem gmetrix practice exams are designed to expose trainees to hands on experience with the python programming language features capabilities writing debugging and maintaining well formed well documented python code topics objectives operations using data types and operators 20 25 medium flow control with decisions and loops 25 30 hard input and output operations 20 25 easy code documentation and structure 15 20 medium troubleshooting and error handling 5 10 easy operations using modules and tools 1 5 medium its python references https certiport filecamp com s its od 303 python pdf fi mta python references https docs microsoft com en us learn certifications mta introduction to programming using python https query prod cms rt microsoft com cms api am binary rwillr types of questions majority of questions are answered by clicking on buttons a few like an instance of only one may come out as input box drag and drop dropdown arrow hotspot check or pick question yes or no take note passing score is 700 1000 70 50 minutes 38 questions questions are a mixed of mta introduction to programming using python its python gmetrix updated questions keywords rephrase new ones questions have the same or similar concepts to its gmetrix and mta pdf reviewers uderstand the topics objectives if question feels like it will take you too long do not panic and mark as review first then go back to the question in order to maximize time you can pass this | python python-certification | server |
IoT-Penetration-Testing-Cookbook | iot penetration testing cookbook this is the code repository for iot penetration testing cookbook https www packtpub com networking and servers iot penetration testing cookbook utm source github utm medium repository utm campaign 9781787280571 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 this book follows a recipe based approach giving you practical experience in securing upcoming smart devices it starts with practical recipes on how to analyze iot device architectures and identify vulnerabilities then it focuses on enhancing your pentesting skill set teaching you how to exploit a vulnerable iot device along with identifying vulnerabilities in iot device firmware next this book teaches you how to secure embedded devices and exploit smart devices with hardware techniques moving forward this book reveals advanced hardware pentesting techniques along with software defined radio based iot pentesting with zigbee and z wave finally this book also covers how to use new and unique pentesting techniques for different iot devices along with smart devices connected to the cloud 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 chapter 1 2 10 does not contain any code files the code will look like the following contextpath jira docbase catalina home atlassian jira reloadable false usehttponly true following are the software requirements for this book microsoft threat modeling tool 2016 binwalk firmadyne firmwalker angr optional firmware mod toolkit firmware analysis toolkit gdb radare2 optional binary analysis tool bat qemu ida pro optional burp suite owasp zap mobile security framework mobsf idb sqlite browser 3 10 1 cydia openurl dumpdecrypted ipainstaller ssl kill switch 2 clutch2 cycript jd gui hopper 8 rtl sdr node security project nsp retirejs dependency check flawfinder jenkins 2 60 3 following are the hardware requirements for this book attify badge alternatively a combination of c232hm ddhsl 0 cable and adafruit ftdi breakout salae logic sniffer 8 channel rzraven usb stick flashed with killerbee framework jtagulator xbee with xbee shield ubertooth ble adapter related products azure iot development cookbook https www packtpub com virtualization and cloud azure iot development cookbook utm source github utm medium repository utm campaign 9781787283008 iot projects with bluetooth low energy https www packtpub com hardware and creative iot projects bluetooth low energy utm source github utm medium repository utm campaign 9781788399449 intelligent iot projects in 7 days https www packtpub com hardware and creative intelligent iot projects 7 days utm source github utm medium repository utm campaign 9781787286429 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 9781787280571 https packt link free ebook 9781787280571 a p | server |
|
coursera-demo-1 | coursera demo 1 this repo contains homework for week 1 of coursera cloud data engineering | cloud |
|
udagram | udagram image filtering microservice udagram is a simple cloud application developed alongside the udacity cloud engineering nanodegree it allows users to register and log into a web client post photos to the feed and process photos using an image filtering microservice the project is split into three parts 1 the simple frontend https github com udacity cloud developer tree master course 02 exercises udacity c2 frontend a basic ionic client web application which consumes the restapi backend covered in the course 2 the restapi backend https github com udacity cloud developer tree master course 02 exercises udacity c2 restapi a node express server which can be deployed to a cloud service covered in the course 3 the image filtering microservice https github com udacity cloud developer tree master course 02 project image filter starter code the final project for the course it is a node express application which runs a simple script to process images your assignment tasks setup node environment you ll need to create a new node server open a new terminal within the project directory and run 1 initialize a new project npm i 2 run the development server with npm run dev create a new endpoint in the server ts file the starter code has a task for you to complete an endpoint in src server ts which uses query parameter to download an image from a public url filter the image and return the result we ve included a few helper functions to handle some of these concepts and we re importing it for you at the top of the src server ts file typescript import filterimagefromurl deletelocalfiles from util util deploying your system follow the process described in the course to eb init a new application and eb create a new environment to deploy your image filter service don t forget you can use eb deploy to push changes stand out optional refactor the course restapi if you re feeling up to it refactor the course restapi to make a request to your newly provisioned image server authentication prevent requests without valid authentication headers note if you choose to submit this make sure to add the token to the postman collection and export the postman collection file to your submission so we can review custom domain name add your own domain name and have it point to the running services try adding a subdomain name to point to the processing server note domain names are not included in aws free tier and will incur a cost | cloud |
|
GOMC | gomc gpu optimized monte carlo current release 2 75 6 21 2022 gitter chat https badges gitter im gitterhq gitter png https gitter im gomc wsu lobby utm source share link utm medium link utm campaign share link build status https travis ci org gomc wsu gomc svg branch master https travis ci org gomc wsu gomc we recommend the gomc project website http gomc eng wayne edu gomc website and the user manual https gomc wsu github io manual user manual for further information and examples to cite gomc project please use cite the following papers 1 y nejahi m soroush barhaghi g schwing l schwiebert j potoff softwarex 13 100627 2021 https www sciencedirect com science article pii s235271102030340x 2 y nejahi m soroush barhaghi j mick b jackman k rushaidat y li l schwiebert j potoff softwarex 9 20 27 2019 https www sciencedirect com science article pii s2352711018301171 via 3dihub softwarex building gomc on gnu linux macos or cygwin 1 clone or download our code from github bash git clone https github com gomc wsu gomc git 2 go into the gomc directory bash cd gomc 3 give execution permission bash chmod u x metamake sh 4 run metamake file bash metamake sh 5 step 4 should generate all the executables in bin directory you can set the number of the threads using the pn argument where n is the number of threads for example bash gomc cpu gpu xxxx p4 in conf which will run 4 threads and reads input file in conf notes building gomc requires cmake available at http www cmake org and in most linux package repositories as cmake if you wish to utilize nvidia graphic cards you will need to install nvidia toolkit before compiling the metamake file will automatically detect the location of cuda installation more info in manual building gomc on windows 1 open the windows compatible cmake gui 2 set the source folder to the gomc root folder 3 set the build folder to your build folder 4 click configure select your compiler environment 5 wait for cmake to finish the configuration 6 click configure again and click generate 7 download cub library https nvlabs github io cub download cub html 8 extract cub library and copy the cub folder from cub library into lib folder inside gomc directory 9 open the cmake generated project solution etc to the desired ide e g visual studio 10 using the solution in the ide of choice build gomc per the ide s standard release compilation executable generation methods notes you can also use cmake from the windows command line if its directory is added to the path environment variable | monte-carlo monte-carlo-simulation gpu openmp adsorption free-energy phase-equilibrium surface-tension cuda gibbs-ensemble grand-canonical-monte-carlo | os |
Duke-NLP-WS-2020 | duke natural language processing winter school 2020 welcome to the duke natural language processing winter school 2020 https strategicplan duke edu initiatives natural language processing winter school this repository will contain the lecture materials and assignments for the hands on pytorch sessions while there is no hard requirement to attend these sessions or complete the exercises we do strongly recommend them many of the machine learning concepts being covered thoughout the course are best learned and reinforced by implementing the ideas in code yourself please come with a laptop ready to code before you arrive required please have python 3 and pytorch installed we will be doing a lot of our development in ipython notebooks so you ll likely want to have jupyter installed as well or have access to colab https research google com colaboratory if you don t already have the aforementioned software installed please go through the notebook labeled 0a pytorch installation ipynb https github com duke mlss duke nlp ws 2020 blob master 0a pytorch installation ipynb installing these should take about 5 10 minutes optional given the pace of the course we ll be assuming some background knowledge for scientific computing in python if you are unfamiliar with ipython notebooks or python coding environments a brief introduction can be found in 0b coding environments ipynb https github com duke mlss duke nlp ws 2020 blob master 0b coding environments ipynb if you haven t used python before or want a refresher we recommend python like you mean it https www pythonlikeyoumeanit com intro html by ryan soklaski this free e book consists of five short modules introducing python for scientific computing and data analysis modules 1 and 2 on installing python and python essentials will be especially useful module 3 which concerns the manipulation of matrices and vectors in python is very relevant but optional reading as we will also be covering those topics in our sessions alternatively we provide a quick crash course in 0c python prerequisites ipynb https github com duke mlss duke nlp ws 2020 blob master 0c python prerequisites ipynb the easiest way to download these materials is to click the green clone or download button near the top of this github repo and then download zip however we may update the materials in this github repository as the course goes on if you re familiar with git the most seamless way to keep your files up to date is by cloning forking this repository and pulling alternatively you can re download this repo periodically but you ll end up with duplicates | pytorch-tutorial natural-language-processing duke-university | ai |
around-dataengineering | a very long never ending learning around data engineering machine learning sketchnotes background jpeg new tech dragonfly is a faster redis or memcached alternative that i recently tried https www linkedin com posts iamabhishekchoudhary github dragonflydbdragonfly a modern activity 6987806780424617984 sfok utm source share utm medium member desktop interesting reads how to choose a distributed database https github com abhishek ch around dataengineering blob master docs how to choose db md cockroach db architecture https www linkedin com posts iamabhishekchoudhary cockroachdbarchitecture activity 6834117247510855680 vecf amundsen review https github com abhishek ch around dataengineering blob master docs amundsen review md deep dive foundation db https github com abhishek ch around dataengineering blob master docs foundationdb md the what why and when of single table design with dynamodb https www alexdebrie com posts dynamodb single table how to manage and monitor apache spark on kubernetes https www lightbend com blog how to manage monitor spark on kubernetes deep dive kubernetes operator for spark git is hard screwing up is easy and figuring out how to fix your mistakes is fucking impossible https ohshitgit com 8 practical use cases of change data capture https medium com event driven utopia 8 practical use cases of change data capture 8f059da4c3b7 apache iceberg links https github com abhishek ch around dataengineering blob master docs apache iceberg read md kubernetes port forwarding manager https www linkedin com posts iamabhishekchoudhary kubernetes kuberforwarder dataengineering activity 6821345311655555072 aeqx querying parquet with precision using duckdb much faster compared to pandas https www linkedin com posts iamabhishekchoudhary querying parquet with precision using duckdb activity 6821024627578466304 tgrs what is apache pinot usecases architecture https www linkedin com posts iamabhishekchoudhary building latency sensitive user facing analytics activity 6818810335286370304 gzaq change data streaming patterns in distributedsystems https www linkedin com posts iamabhishekchoudhary cdcpatterns activity 6828573352563654656 cds1 cuckoo hashing an alternative to chaining and linear probing for collision handling https www linkedin com posts iamabhishekchoudhary cuckoo hashing activity 6832911622126784512 3rzb riak database https github com abhishek ch around dataengineering blob master docs riakdb md database indexing https www linkedin com posts iamabhishekchoudhary databaseindexes activity 6844509295476924416 jzto parallel databases using map reduce https www linkedin com posts iamabhishekchoudhary parallel databases using map reduce activity 6858620336083136512 nttz rest vs graphql https www linkedin com posts iamabhishekchoudhary restapi vs graphql activity 6879712973284364288 o8ad linux namespace control group cgroup https www linkedin com posts iamabhishekchoudhary namespaces and cgroups the basis of linux activity 6897116562046672897 b5va sql lexical structure https www linkedin com posts iamabhishekchoudhary database golang dataengineering activity 6911963969658220544 lcxb everything about the linux kernel https www linkedin com posts iamabhishekchoudhary github 0xaxlinux insides a little bit activity 6932325041955061760 qlwg utm source linkedin share utm medium member desktop web weekly digest how dataengineering get complicated over time https www linkedin com posts iamabhishekchoudhary dataengineering realtime streamprocessing activity 6808383006567383040 xy g what is ebpf sandboxing programs inside linux kernel https www linkedin com posts iamabhishekchoudhary facebook google isovalent microsoft and activity 6831817260462608384 p6qn0 absolute basic explanation of sstable log structured merge trees sorted string table faster random writes https www linkedin com posts iamabhishekchoudhary datastructures cassandra dataengineering activity 6833629108484784128 u bn the data engineering level 0 getting started with dataengineering volume 6 https www linkedin com posts iamabhishekchoudhary dataengineering datapipelines dag activity 6770259833363980288 7bie getting started with dataengineering volume 5 https www linkedin com posts iamabhishekchoudhary dataengineering infrastructure docker activity 6763429524764975104 lvvy getting started with data engineering volume 4 sketchnotes getting started with de vol4 png getting started with data engineering volume 3 sketchnotes getting started with de vol3 png getting started with data engineering volume 2 sketchnotes getting started with de vol2 png getting started with data engineering volume 1 sketchnotes gettingstart dataengg png getting started with dataengineering from basics https www linkedin com posts iamabhishekchoudhary dataengineering mapreduce docker activity 6803350978432180224 gnww apache airflow 2 0 sketchnotes airflow 2 0 jpg some interesting essentials while learning apache airflow sketchnotes airflow checklist png dagster release 0 10 0 everything about exactly once fault tolerant scheduling extremely important release https www linkedin com posts iamabhishekchoudhary dagster machinelearning kubernetes activity 6757931107041255424 kag1 getdbt or data build tools interface across all major data workflow management platform https www linkedin com posts iamabhishekchoudhary getdbt apacheairflow dagster activity 6750389785275240448 n8t apache superset an opensource fully featured business intelligence application https www linkedin com posts iamabhishekchoudhary apache superset 10 is out activity 6759044550578229248 rero the hop orchestration platform or apache hop incubating aims to facilitate all aspects of data and metadata orchestration https www linkedin com posts iamabhishekchoudhary hop apachespark apacheflink activity 6761641585437396993 ydhg apache iceberg partitioning is way better than hive hidden partitioning makes everything easier https www linkedin com posts iamabhishekchoudhary apacheiceberg dataengineering bigdata activity 6764569890650238976 0skj trino aka prestosql is different from apache spark sql exclusively designed for distributed sql https www linkedin com posts iamabhishekchoudhary prestosql bigdata apachespark activity 6764906382325010432 qg00 apache spark is not a map but an mpp mpi engine https www linkedin com posts iamabhishekchoudhary apachespark mapreduce dataengineering activity 6765550560524476416 2c7f apache hudi design principles https www linkedin com posts iamabhishekchoudhary apachehudi hadoop streamprocessing activity 6767445258792947712 m9c2 opentelemetry specification v1 0 https www linkedin com posts iamabhishekchoudhary opentelemetry specification v100 tracing activity 6767783538310873089 n9q5 everything around pyspark pandas udf https www linkedin com posts iamabhishekchoudhary revisitingpandasudf activity 6775378803897221120 rs3z important skill set of a dataengineer reduce cost https www linkedin com posts iamabhishekchoudhary dataengineer cloud dataengineering activity 6783023471485091840 2qfg everything on pyflink python with apache flink https www linkedin com posts iamabhishekchoudhary apacheflink dataengineering python activity 6785834728302948353 0i0r delta lake cheat sheet https www linkedin com posts iamabhishekchoudhary deltalakecheatsheet activity 6787337208899678208 lsg3 dataengineering schedule breakdown a very flexible estimate https www linkedin com posts iamabhishekchoudhary dataengineering distributedsystems mlops activity 6791336683653648384 ry3 parquet introduction design an opensource file format https www linkedin com posts iamabhishekchoudhary apacheparquet protocolbuffers dataengineering activity 6823244946166857729 0czf sql avoiding antipatterns https www linkedin com posts iamabhishekchoudhary sqlantipattern activity 6826491257410396160 xx5p explaining apache kafka in children s book format https www linkedin com posts iamabhishekchoudhary apachekafka streamprocessing dataengineering activity 6811538408763121664 5qpl the perfect dataengineering top invalid reasons behind datapipelines failures https www linkedin com posts iamabhishekchoudhary dataengineering datapipelines data activity 6839946812015603712 fnzq what is etl https www linkedin com posts iamabhishekchoudhary etl introduction ugcpost 6864433492600635392 sbbl what is proxy reverse proxy https www linkedin com posts iamabhishekchoudhary dataengineering activity 6907655591100354560 5ddk level 1 dataengg skills to work with datascience sketchnotes de skills work with ds jpg data quality a necessity for data driven projects sketchnotes arond dq png essential cloud skills for data engineering https www linkedin com posts iamabhishekchoudhary dataengineering machinelearnig aws activity 6758329553036345346 b 40 open source technologies in data engineering sketchnotes de os jpg kubernetes fundamentals required as a data engineer sketchnotes kubernetes fundamentals png apache superset oss business intelligence for 2021 https www linkedin com posts iamabhishekchoudhary apache superset 10 is out activity 6759044550578229248 rero apachekafka as a database summary on both the sides arguments trade offs exceptional quotes https www linkedin com posts iamabhishekchoudhary kafka as a database yes or no a summary activity 6757228852923158528 qvbc processing guarantees in apachekafka the best resource https www linkedin com posts iamabhishekchoudhary processing guarantees in kafka activity 6756149463359791104 sjcd change data analysis with debezium and apache pinot https www linkedin com posts iamabhishekchoudhary apachepinot debezium eventsourcing activity 6754311102718382080 gwl1 optimizing apache kafka producers consumers https www linkedin com posts iamabhishekchoudhary apachekafka strimzi streamprocessing activity 6753977207800037376 knwi redpanda a non jvm streaming platform for mission critical workloads https www linkedin com posts iamabhishekchoudhary redpanda activity 6749640173656559616 ol6c apache hudi turn batch jobs to incremental model complete file management on a data lake https www linkedin com posts iamabhishekchoudhary building a large scale transactional data activity 6760855681277980672 kizf apache iceberg an open table format for huge analytic datasets https www linkedin com posts iamabhishekchoudhary apache iceberg activity 6760465145954131968 v0tp ballista distributed computing platform built primarily on rust and powered by apache arrow https www linkedin com posts iamabhishekchoudhary ballista a distributed compute platform activity 6763021778580246528 zwj8 zookeeper a distributed open source coordination service for distributed applications https www linkedin com posts iamabhishekchoudhary zookeeperpaper activity 6764214157366620160 84rm apache iceberg partition evolution its simple but its so amazing https www linkedin com posts iamabhishekchoudhary apacheiceberg dataengineering datascience activity 6766299661784403968 t i apachekafka without zookeeper sneak peak https www linkedin com posts iamabhishekchoudhary apachekafka distributedsystems zookeeper activity 6782957154392432640 3s5r why data discovery is important for data engineering https www linkedin com posts iamabhishekchoudhary dataengineering bigdata datagovernance activity 6797526472681771008 c xm queue vs log event driven architecture https www linkedin com posts iamabhishekchoudhary eventsourcing distributedsystems bigdata activity 6798554566800523264 xa88 database indexing https www linkedin com posts iamabhishekchoudhary postgres indexes for newbies activity 6889845127477563392 04kp level 1 1 multiple criteria search at scale with apache pinot theta sketches https www linkedin com posts iamabhishekchoudhary solving for the cardinality of set intersection activity 6789846326893969408 4exe vm vs containers similar but different https www linkedin com posts iamabhishekchoudhary docker dataengineering bigdata activity 6790586642504724480 zq0e state of trino aka prestosql https www linkedin com posts iamabhishekchoudhary trino aka prestosql state activity 6790920739471069184 ipcq etl is an extremely important component for any modern business https www linkedin com posts iamabhishekchoudhary dataengineering datawarehouse bigdata activity 6789114504010625024 v lz top 5 ways to complicate a dataengineering pipeline application https www linkedin com posts iamabhishekchoudhary dataengineering functionalprogramming bigdata activity 6802551801179631616 u6a0 leader election is commonly used aka master namenode leader driver https www linkedin com posts iamabhishekchoudhary leaderelection activity 6802979035270938624 vyyf dagster vs airflow a comparison https www linkedin com posts iamabhishekchoudhary moving past airflow why dagster is the next generation activity 6800808471768969216 wj about single source of truth in dataengineering https www linkedin com posts iamabhishekchoudhary dataengineering machinelearning dataanalytics activity 6801541986638733312 81gm change data capture for distributed databases https www linkedin com posts iamabhishekchoudhary change data capture for distributed databases activity 6821429243944206336 hijl deep dive on why apache iceberg for change data capture using apache flink https www linkedin com posts iamabhishekchoudhary apacheiceberg deltalake realtime activity 6813803694627336192 w7m7 openmetadata is an open standard for metadata a single place to discover collaborate and get your data right https www linkedin com posts iamabhishekchoudhary metadata datamesh amundsen activity 6833223767699845120 8u5h about lakehouse https www linkedin com posts iamabhishekchoudhary datawarehouse lakehouse machinelearning activity 6839506317648941056 d23r etcd a distributed reliable key value store for the most critical data of a distributed system https www linkedin com posts iamabhishekchoudhary etcd distributed reliable key value store activity 6854393688827711488 1mts what is redis https www linkedin com posts iamabhishekchoudhary what is redis data store activity 6859358023492648960 yxoz what is hive https www linkedin com posts iamabhishekchoudhary what is apache hive activity 6862273737388032000 nrsq what is data warehouse an introduction https www linkedin com posts iamabhishekchoudhary what is data warehouse activity 6862625346521583616 x6yl fundamentals of designing data warehouse https www linkedin com posts iamabhishekchoudhary fundamentals of designing data warehouse activity 6865875658413793280 3cln database relational model a way of looking at data https www linkedin com posts iamabhishekchoudhary database relational model activity 6888768611230511104 eyu4 data engineering infrastructure notes https www linkedin com posts iamabhishekchoudhary data engineering infrastructure notes activity 6901541636677910528 jjxl dataengineering core a data engineering story the beginning https github com abhishek ch around dataengineering blob master docs blog1 index md data engineering more towards data science or data analytics or https github com abhishek ch around dataengineering tree blog2 data engineering interview patterns sketchnotes de interview jpg basic checklists while learning apache spark sketchnotes spark checklist png apachespark for distributed analytics or businessinteligence platform worth or not https www linkedin com posts iamabhishekchoudhary apachespark businessinteligence analytics activity 6754429988021387264 ka7v apache beam for search an introduction addressing the challenge of the time problem https www linkedin com posts iamabhishekchoudhary apachebeam apachekafka dataengineering activity 6753591516708573184 1 p6 nextflow is a workflow manager exclusively for bioinformatics https www linkedin com posts iamabhishekchoudhary bioinformatics distributedsystems kubernetes activity 6749644503558238209 uftg apachespark project zen update making pyspark better https www linkedin com posts iamabhishekchoudhary project zen improving apache spark for python activity 6748904711069474816 3iqn design exactly once delivery transactional messaging in apachekafka https www linkedin com posts iamabhishekchoudhary exactlyoncekafka activity 6762359693802299392 gch3 underrated but important skill of a data engineer https www linkedin com posts iamabhishekchoudhary dataengineer datascience dataengineering activity 6775777891335647232 6573 fallacies of distributed systems https www linkedin com posts iamabhishekchoudhary dataengineering distributedsystems cloud activity 6776439768591998976 ae6h as a data engineer some essentials i did which really helped data scientists and the team https www linkedin com posts iamabhishekchoudhary dataengineer datascientists kubernetes activity 6779784194651504640 ziup a very normal data engineering work https www linkedin com posts iamabhishekchoudhary dataengineering python kubernetes activity 6772461203500384256 yrah what can go wrong in distributed data systems https www linkedin com posts iamabhishekchoudhary dataengineers dataengineering machinelearning activity 6771387632715935744 wzck architect and build an machinelearning use case end to end using amazon sagemaker https www linkedin com posts iamabhishekchoudhary architect and build the full machine learning activity 6775727947325214721 iyaw around data discovery or metadata management platforms https www linkedin com posts iamabhishekchoudhary datadiscovery metadatamanagement datascientists activity 6777238261258682368 fkga amazon s3 object lambda provide different views of data to multiple applications https www linkedin com posts iamabhishekchoudhary introducing amazon s3 object lambda use activity 6778582018067378176 fzvy full stack data engineer https www linkedin com posts iamabhishekchoudhary hadoop apachespark kubernetes activity 6781152322971074560 vwvk data cleaning is hard but why https www linkedin com posts iamabhishekchoudhary whys it hard to teach data cleaning activity 6782684736637693953 jilg most exciting things about dataengineering https www linkedin com posts iamabhishekchoudhary dataengineering distributedsystems machinelearning activity 6783666378680401920 e23h the real impact of disks on rocksdb state backend in apache flink https www linkedin com posts iamabhishekchoudhary the impact of disks on rocksdb state backend activity 6784115938338906112 ftvy tips for distributed system high availability https www linkedin com posts iamabhishekchoudhary tips for high availability activity 6785942817693855744 8kff interesting way of collaboration between a dataengineer datascientis https www linkedin com posts iamabhishekchoudhary dataengineer datascientist datascience activity 6786211019640369152 qrff building distributedlog high performance replicated log service https www linkedin com posts iamabhishekchoudhary distributedsystems dataengineering bigdata activity 6786283090441506816 kcob whiz data analytics execution framework based on intermediate data https www linkedin com posts iamabhishekchoudhary whiz data driven analytics execution activity 6788003925300707328 2yuy adding unlimited nodes in a dataengineering platform will eventually drop https www linkedin com posts iamabhishekchoudhary dataengineering distributedsystems bigdata activity 6788418825047080960 itiv a typical data engineering pipeline https www linkedin com posts iamabhishekchoudhary dataengineering data bigdata activity 6800075858917773312 w lc log is a fundamental component of a data engineering ecosystem https www linkedin com posts iamabhishekchoudhary apacheiceberg deltalake dataengineering activity 6804701361796636672 mofm flink cdc https github com abhishek ch around dataengineering blob master flink cdc md readings around databases https github com abhishek ch around dataengineering blob master docs reading ardound database md code review best practice bcz developers hate code reviews https www linkedin com posts iamabhishekchoudhary codereviewbestpractice activity 6812358358906019840 qfw5 important performance criteria to measure dataengineering systems https www linkedin com posts iamabhishekchoudhary dataengineering distributedsystems datastructures activity 6848612433121157120 wrni database internals storage https www linkedin com posts iamabhishekchoudhary database storage internals activity 6863372646696972288 hsia data integration for databases data warehousing an introduction https www linkedin com posts iamabhishekchoudhary data integration introduction activity 6872779193617309696 hu54 what is protocol buffer an excellent important data interchange format for serialization zero copy format https www linkedin com posts iamabhishekchoudhary protocol buffer activity 6886960430330232832 onrn memcached redis elasticache to accelerate your data or databases https www linkedin com posts iamabhishekchoudhary memory memcached redis elasticache activity 6891708019474788352 8ur what is lsm tree https www linkedin com posts iamabhishekchoudhary lsm tree activity 6901823852150624256 cnbq tor aka onion router how does it work https www linkedin com posts iamabhishekchoudhary dataengineering activity 6909070959350059009 qffq utm source linkedin share utm medium member desktop web infrastructure sql database on kubernetes best practices https www linkedin com posts iamabhishekchoudhary sql database on kubernetes considerations activity 6755432993130643457 zts2 devtron an open source devops on kubernetes written in go https www linkedin com posts iamabhishekchoudhary devtron multicloud infrastructure activity 6749978071970975744 pcps most popular opensource bi data analytics platforms https www linkedin com posts iamabhishekchoudhary opensource dataengineering datascience activity 6749258103369322496 hc5c datapipelines dataframe api is now available with apachebeam https www linkedin com posts iamabhishekchoudhary datapipelines apachebeam python activity 6748167921433948160 owft disaster recovery for multi region apache kafka data consumption using apacheflink https www linkedin com posts iamabhishekchoudhary disaster recovery for multi region kafka activity 6747422409218940928 70rf kubernetes api structure https www linkedin com posts iamabhishekchoudhary kubernetes dataengineering machinelearning activity 6759074145817944064 dhil architecting a kubernetes infrastructure https www linkedin com posts iamabhishekchoudhary a deep dive into architecting a kubernetes activity 6761257898438918144 n74g exploring kubernetes operator pattern https www linkedin com posts iamabhishekchoudhary exploring kubernetes operator pattern activity 6762000800911814656 jre7 docker is an interal part of data engineering ml pipeline that makes security extremely essential https www linkedin com posts iamabhishekchoudhary docker security activity 6763766659426660353 mia rack awareness for apachekafka streams proposal https www linkedin com posts iamabhishekchoudhary apachekafka kafkastreams dataengineering activity 6779000842264592384 na4j dolt is git for data https www linkedin com posts iamabhishekchoudhary sql bigdata datascience activity 6774623291329060864 qkyb toward better data culture from first principles by ube https www linkedin com posts iamabhishekchoudhary dataengineering dataengineer bigdata activity 6780824810315403264 e0hc fast and reliable schema agnostic log analytics platform by uber https www linkedin com posts iamabhishekchoudhary elasticsearch elk dataengineering activity 6783364868515934208 jhj6 simple testing can prevent most critical failures an analysis of production failures in distributed data intensive systems https www linkedin com posts iamabhishekchoudhary simple testing can prevent most critical failures activity 6784411707830779904 ds3 diving deep on s3 consistency insightful https www linkedin com posts iamabhishekchoudhary diving deep on s3 consistency activity 6793185152844513280 k48v ray general purpose ml infrastructure https github com abhishek ch around dataengineering blob master docs ray distributed ml md kubernetes hardening guide by national security agency https www linkedin com posts iamabhishekchoudhary kubernetes hardening guide activity 6831118268779020288 kqfu everything around load balancer https www linkedin com posts iamabhishekchoudhary distributedsystems datainfrastructure loadbalancing activity 6840255837957607424 oomk data lakehouse is it really the end of datawarehouse https www linkedin com posts iamabhishekchoudhary datawarehouse lakehouse machinelearning activity 6839506317648941056 d23r real time exactly once processing with apache flink kafka and pinot uber https www linkedin com posts iamabhishekchoudhary distributedsystems apacheflink apachekafka activity 6850759002620522496 zq8w wth is kubernetes operator an introduction https www linkedin com posts iamabhishekchoudhary k8s operator introduction activity 6850331132089679872 svt lessons learned from sharding postgres https www linkedin com posts iamabhishekchoudhary herding elephants lessons learned from sharding activity 6856096160822697984 x4es what is kubernetes an introduction https www linkedin com posts iamabhishekchoudhary kubernetes introduction activity 6861168802697220096 wci1 elk stack introduction of scalable monitoring https www linkedin com posts iamabhishekchoudhary elk stack introduction activity 6864796949678223360 j oo what is nginx an introduction https www linkedin com posts iamabhishekchoudhary nginx introduction activity 6867698654820519937 z cx what is load balancer an introduction https www linkedin com posts iamabhishekchoudhary what is load balancer an introduction activity 6866977826793435136 smck what is oauth 2 introduction api based authorization https www linkedin com posts iamabhishekchoudhary oauth 2 introduction activity 6877542164289728512 m1wg kubernetes networks it s hard because multiple options are available https www linkedin com posts iamabhishekchoudhary k8s networks activity 6880088004594151424 fhbk kubernetes reconciliation https www linkedin com posts iamabhishekchoudhary k8s what is reconciliation activity 6881167406342004736 fbuo troubleshooting kubernetes app https www linkedin com posts iamabhishekchoudhary troubleshooting kubernetes app activity 6885146702148435968 n1oo kubernetes best practices classics https www linkedin com posts iamabhishekchoudhary kubernetes best practices activity 6886580619527155712 h7d paper serverless computing a survey of opportunities challenges and applications https www linkedin com posts iamabhishekchoudhary serverless computing activity 6890329219063189504 7p 5 choosing the kubernetes local cluster https www linkedin com posts iamabhishekchoudhary local kubernetes cluster which why activity 6897194508409278464 cv61 monitoring kubernetes fundamentals of kubernetes infrastructure monitoring https www linkedin com posts iamabhishekchoudhary kubernetes monitoring fundamental activity 6897830067133571072 hmnv kubernetes controller manager https www linkedin com posts iamabhishekchoudhary kubernetes controller manager concept activity 6900449709870104577 4t0d kubernetes why the pod is still in the pending state https www linkedin com posts iamabhishekchoudhary understanding kubernetes pod pending problems activity 6931949104704962560 oool utm source linkedin share utm medium member desktop web kubernetes liveness readiness probe https www linkedin com posts iamabhishekchoudhary introduction to kubernetes probes activity 6936950535275048961 8wyl utm source linkedin share utm medium member desktop web kubernetes pod node affinity https www linkedin com posts iamabhishekchoudhary kubernetes dataengineering activity 6976177528545669121 qgjv utm source share utm medium member desktop sql advanced sql reference cs 564 database management systems https www linkedin com posts iamabhishekchoudhary advanced sql 2 activity 6845598540790599680 gtgh sql and advanced sql an asset https www linkedin com posts iamabhishekchoudhary advancedsql activity 6844892160798584832 gbtl database indexing almost everything https www linkedin com posts iamabhishekchoudhary databaseindexes activity 6844509295476924416 jzto tuning sql queries tips for writing efficient faster queries https www linkedin com posts iamabhishekchoudhary query optimization techniques sql activity 6844123194836742144 apty database schema design schema design is a complicated necessity https www linkedin com posts iamabhishekchoudhary database schema design activity 6843509027025022976 qbrf sql query processing plan basics https www linkedin com posts iamabhishekchoudhary queryprocessingplan activity 6843139272497774592 10st revisiting sql basics the beginning of data science data engineering https www linkedin com posts iamabhishekchoudhary basic sql activity 6842758586142142464 kj u distributed advanced queries presto trino https www linkedin com posts iamabhishekchoudhary advanced sql distributed query engine prestotrino activity 6845952140645593088 r6bj sql notes for professionals 100 pages https www linkedin com posts iamabhishekchoudhary sqlnotes4professional activity 6846303034914471936 q1t9 table partitioning https www linkedin com posts iamabhishekchoudhary database dataengineering sql activity 6846689189979844609 yxqs sql complex queries nested queries aggregation https www linkedin com posts iamabhishekchoudhary nested queries and aggregation activity 6847059870416474112 tsky gossip protocols designed for data consistency fault tolerance https www linkedin com posts iamabhishekchoudhary p2p gossip protocol activity 6847021932785786880 a2oj table partitioning an important concept https www linkedin com posts iamabhishekchoudhary database dataengineering sql activity 6846689189979844609 yxqs database concurrency control 2 phase locking https www linkedin com posts iamabhishekchoudhary sql database dataengineering activity 6847472978335195136 qqac database entity relationship model https www linkedin com posts iamabhishekchoudhary the entity relationship er model activity 6848113792358907904 bwrc sql join fundamentals https www linkedin com posts iamabhishekchoudhary sql joins activity 6848474520647458816 3aca database indexing https www linkedin com posts iamabhishekchoudhary database performanceandindexes activity 6848848899260653569 l1gz database indexing notes https www inf unibz it artale db2 handout2 pdf sql injection introduction https www linkedin com posts iamabhishekchoudhary sql injection introduction activity 6849573020533608448 tswx sql constraints fundamentals https www linkedin com posts iamabhishekchoudhary sql constraints activity 6849207436176363520 hidu the fundamental of writing sql queries is different from https www linkedin com posts iamabhishekchoudhary programming dataengineering datanalytics activity 6797939314098520064 hmfd building a nosql database using git https www linkedin com posts iamabhishekchoudhary gitasnosqldatabase activity 6820624465861390336 qwpo against sql an article on what is not good with sql https www linkedin com posts iamabhishekchoudhary sql database data activity 6819964297423179776 opr5 using explain for data problems things beyond sql https www linkedin com posts iamabhishekchoudhary databaseexplain activity 6819573919389941760 eud5 10 sql queries to blow your mind https www linkedin com posts iamabhishekchoudhary sqlmightiestqueries activity 6829031645870374912 hw88 views stored procedures functions triggers sql https www linkedin com posts iamabhishekchoudhary viewstoredproceduretriggersql activity 6850663245687115776 1v75 sql transaction acid property https www linkedin com posts iamabhishekchoudhary sql transaction activity 6851020805803958272 w69d how to solve complex sql queries https www linkedin com posts iamabhishekchoudhary sqlcomplexqueriesapproach activity 6851755823228604416 uovk apache spark sql the introduction from rdmbs till sparksql https www linkedin com posts iamabhishekchoudhary sparksqlintroduction activity 6852476659761782785 molf advanced sql functions https www linkedin com posts iamabhishekchoudhary advanced sql functions activity 6853198639423123456 0g0q basic intermediate on database sharding https www linkedin com posts iamabhishekchoudhary database sharding basic intermediate activity 6855026526132477952 ugya complex database queries with postgresql https www linkedin com posts iamabhishekchoudhary complex database queries activity 6854642670451650560 p7xv query evaluation technical details when you execute sql query https www linkedin com posts iamabhishekchoudhary queryevaluation activity 6853910123237183488 kdw7 what is materialized view how does work in distributed databases https www linkedin com posts iamabhishekchoudhary materialized view activity 6853558113245773824 6gbq breaking down nosql sharding replication consistency https www linkedin com posts iamabhishekchoudhary whynosqlshardingiscomplicated activity 6855744363792781312 kxqz database query optimization technique https www linkedin com posts iamabhishekchoudhary queryoptimizationtechniques activity 6856460121778790400 pwrb intermediate sql https www linkedin com posts iamabhishekchoudhary intermediate sql activity 6856827085349040128 ixvm sql stored procedures https www linkedin com posts iamabhishekchoudhary sqlproceduresdeep dive activity 6859022836573507584 3khi olap oltp datawarehouse data mining https www linkedin com posts iamabhishekchoudhary olap vs oltp activity 6860811031833296896 fapf database fundamentals https www linkedin com posts iamabhishekchoudhary database fundamentals activity 6863695598084775936 zgkm sql subqueries https www linkedin com posts iamabhishekchoudhary sql subqueries activity 6868420033782059008 wfr8 newsql introduction basic to intermediate https www linkedin com posts iamabhishekchoudhary newsql introduction activity 6867339297767387136 o sg sql intermediate basics deep dive https www linkedin com posts iamabhishekchoudhary introduction to sql intermediate deep dive activity 6869861428271091712 pbmm sql basics the starting point https www linkedin com posts iamabhishekchoudhary sql basics ugcpost 6869502880605360128 78iw data warehousing olap technology https www linkedin com posts iamabhishekchoudhary dwholap activity 6871337092929138689 qmcd snowflake datawarehouse https www linkedin com posts iamabhishekchoudhary snowflake activity 6871720966620282880 23oi relationalalgebra sql https www linkedin com posts iamabhishekchoudhary relationalalgebrasql activity 6874631115001393152 nmfw logical schema design sql database https www linkedin com posts iamabhishekchoudhary logical schema design sql activity 6876437920027439104 uncn kubernetes pod internals deep dive https www linkedin com posts iamabhishekchoudhary kubernetes pod internals activity 6878625725881171968 mfqn the illustrated children s guide to kubernetes https www linkedin com posts iamabhishekchoudhary kubernetes children book activity 6884036918624034816 dttk sql subqueries by example https www linkedin com posts iamabhishekchoudhary understanding subqueries by examples activity 6890591994150760448 mdsn what is write ahead logging wal https www linkedin com posts iamabhishekchoudhary wal write ahead log activity 6894184345448321024 dw5p sql transactions sql transactions a sequence of database operations linux productivity tools this is a data infrastructure necessity https www linkedin com posts iamabhishekchoudhary linux productivity activity 6905439443684007937 a5pf nosql nosql mongodb https www linkedin com posts iamabhishekchoudhary nosql mongodb activity 6874231633654935553 z66u couchdb introduction document storage database https www linkedin com posts iamabhishekchoudhary couchdb document db activity 6892768901944401921 zxka machine learning mlops machine learning workflow 100 https www linkedin com posts iamabhishekchoudhary machinelearning dataengineering distributedsystems activity 6754711934441984000 wz1g dummy notes on machine learning infrastructire sketchnotes ml infra roughnotes png machine learning feature store 100 sketchnotes feature store jpg deploying machinelearning model in production is really hard but mlops can fix that https www linkedin com posts iamabhishekchoudhary machinelearning mlops datascience activity 6752596084746436609 r99u list of machinelearning dataengineering technologies will be following in 2021 https www linkedin com posts iamabhishekchoudhary machinelearning dataengineering getdbt activity 6751786250769903616 seub mlops zenml machinelearning with reproducible pipelines https www linkedin com posts iamabhishekchoudhary maiot iozenml activity 6748236907542577152 nboj why data versioning is a complicated problem for dataengineers https www linkedin com posts iamabhishekchoudhary dataengineers apacheiceberg deltalake activity 6793880325475901440 lsxx explainable ai cheat sheet https www linkedin com posts iamabhishekchoudhary machinelearning mlops dataengineering activity 6794228285145452545 yewq designing machine learning infrastructure https www linkedin com posts iamabhishekchoudhary lifescience dataengineering activity 6883778465296990208 8run what is log foundation behind databases distributed systems https www linkedin com posts iamabhishekchoudhary distributedsystem database lifescience activity 6905525481894948864 l2ng how does the git version control work https www linkedin com posts iamabhishekchoudhary machinelearning dataengineering activity 6906610679105912832 k7wl project streamlit healthcare machine learning data app https github com abhishek ch streamlit healthcare ml app dstack ai an open source tool to develop data applications with python https www linkedin com posts iamabhishekchoudhary dstack machinelearning businessinteligence activity 6753247298588852225 cbca adversarial robustness toolbox a python library for machinelearning security https www linkedin com posts iamabhishekchoudhary machinelearning dataengineering datascience activity 6752863649414680576 bsk8 biopython is a set of freely available tools for biological computation written in python https www linkedin com posts iamabhishekchoudhary python bioinformatics apachespark activity 6749263102992269312 scut insightful time to know more about dask sketchnotes timetolearndask png dataengineering vs machine learning sketchnotes dataengineeringvsmachinelearningengineering jpg a good machinelearning model is only possible with a good quality of data https www linkedin com posts iamabhishekchoudhary machinelearning data datascience activity 6757609262110826496 cmgj statistics for softwareengineer https www linkedin com posts iamabhishekchoudhary statsforhackers activity 6752265241486331904 mouz monitoring machinelearning applications https www linkedin com posts iamabhishekchoudhary machinelearning dataengineering prometheus activity 6751436872456687616 ztvw dagster is a data orchestrator for machine learning analytics and etl officially machinelearning driven https www linkedin com posts iamabhishekchoudhary machinelearning dagster apacheairflow activity 6749618916609314816 ypnw short notes on open source machinelearning tracking system https www linkedin com posts iamabhishekchoudhary machinelearning datascience mlflow activity 6759484697518096384 szi9 the best example of randomness is machinelearning model in production https www linkedin com posts iamabhishekchoudhary machinelearning infrastructure datascientists activity 6759792666403246081 jq3q flyte is declarative structured and highly scalable cloud native workflow orchestration platform for distributed machine learning https www linkedin com posts iamabhishekchoudhary mlops golang datalineage activity 6778218137268625408 wwdm tips for distributed system high availability https www linkedin com posts iamabhishekchoudhary tips for high availability activity 6785942817693855744 8kff building distributedlog high performance replicated log service https www linkedin com posts iamabhishekchoudhary distributedsystems dataengineering bigdata activity 6786283090441506816 kcob how to scale kubernetes with assurance https www linkedin com posts iamabhishekchoudhary kubernetes infrastructure dataengineering activity 6786619511165501440 pcns apache calcite building sql query processor from scratch over lucene https www linkedin com posts iamabhishekchoudhary calcite tutorial lucene activity 6833330741460447233 ccfp database storage https www linkedin com posts iamabhishekchoudhary database storage basics activity 6858266378051350528 0f1 acid is the foundation of database base is for nosql databases https www linkedin com posts iamabhishekchoudhary acid base activity 6861531231998275584 q8ih some common elements behind many distributed databases https www linkedin com posts iamabhishekchoudhary databases dataengineering datainfrastructure activity 6870277667103526912 d0d6 failure recovery in trinodb https www linkedin com posts iamabhishekchoudhary failure recovery in trino activity 6893925269191610368 7g98 what is llvm https www linkedin com posts iamabhishekchoudhary dataengineering activity 6909794301438799872 yjjt what is garbage collection https www linkedin com posts iamabhishekchoudhary dataengineering activity 6910230886785445888 p1qs what is canary deployment https www linkedin com posts iamabhishekchoudhary dataengineering activity 6913058649288409088 he1r utm source linkedin share utm medium member desktop web paper distributed system crazy the snowflake paper core idea is to build an enterprise ready datawarehouse solution for the cloud https www linkedin com posts iamabhishekchoudhary snowflakepaper activity 6752909762079326208 o1cc most important points around distributed dataengineering platform https www linkedin com posts iamabhishekchoudhary dataengineering programminglanguages distributedsystem activity 6742777508380360704 qqvv fundamental of distributedsystems scaling avoiding co ordination https www linkedin com posts iamabhishekchoudhary marcs blog activity 6758678779893231616 ox h technical debt in dataengineering softwareengineering https www linkedin com posts iamabhishekchoudhary dataengineering softwareengineering programmers activity 6756946484488400896 2uqx paper on wander join online aggregation via random walks join problem https www linkedin com posts iamabhishekchoudhary wanderjoinonline aggregation problem activity 6756537519698956288 jtds the delta lake paper high performance acid table storage https www linkedin com posts iamabhishekchoudhary thedeltalakepaper activity 6755858637895335936 kwat dynamo aws highly available key value store distributedsystem https www linkedin com posts iamabhishekchoudhary dynamodbkv activity 6755499276400431104 dofi an efficient and syntactically idiomatic approach to management of streams and tables a single sql for all https www linkedin com posts iamabhishekchoudhary sqlforall activity 6755119918598955008 wky5 secure robust machine learning in healthcare https www linkedin com posts iamabhishekchoudhary robustmlinhealthcare activity 6754772406499377152 gizp progress in medical science using deeplearning https www linkedin com posts iamabhishekchoudhary deeplearningcnnmedical activity 6754374045988380672 exqz the amazon redshift paper a fast fully managed petabyte scale data warehouse solution that makes it simple and cost effective to efficiently analyze large volumes of data using existing businessintelligence tools https www linkedin com posts iamabhishekchoudhary redhistinitialpaper activity 6753300440881926145 qzy6 advancing drugdiscovery via artificial intelligence https www linkedin com posts iamabhishekchoudhary drugdiscoveryai activity 6751143165618651136 6ex8 apache calcite is a dynamic data management framework https www linkedin com posts iamabhishekchoudhary apachecalcite activity 6751114208450015232 67wn lakehouse a paper on new generation of datawarehouse technology https www linkedin com posts iamabhishekchoudhary datawarehouse apacheparquet machinelearning activity 6747813594395668480 hepu calvin fast distributed transactions for partitioned database systems https www linkedin com posts iamabhishekchoudhary calvin fast distributed transactions activity 6760230219019354113 b bi presto or trino sql on everything the design motivation performance presto https www linkedin com posts iamabhishekchoudhary trinoprestosqloneverything activity 6759416018025680896 dpfu design exactly once delivery transactional messaging in apache kafka https www linkedin com posts iamabhishekchoudhary exactlyoncekafka activity 6762359693802299392 gch3 apache kafka paper distributed messaging system for log processing https www linkedin com posts iamabhishekchoudhary apachekafkapaper activity 6765285530247684097 ufxy paper bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size https www linkedin com posts iamabhishekchoudhary bigdatagoogle activity 6765973408174923776 jrjz paper ground is an open source data context service a system to manage all the information that informs the use of data https www linkedin com posts iamabhishekchoudhary metadatadatacontextservice activity 6767048256766697472 0a8q azure data lake store adls is a fully managed elastic scalable and secure file system that supports hadoop distributed file system hdfs and cosmos semantics https www linkedin com posts iamabhishekchoudhary azure data lake store activity 6776108273075589120 hqwr an lfu least frequently used cache eviction algorithm of o 1 runtime complexity https www linkedin com posts iamabhishekchoudhary lfu cache eviction scheme activity 6780125496920346624 bfkp the berkeley view on cloud computing paper https www linkedin com posts iamabhishekchoudhary serverlesscomputing activity 6773574741639917570 ueb5 the google file system the paper https www linkedin com posts iamabhishekchoudhary the google file system paper activity 6778681429632049152 ef03 paper report on distributed deep learning on data systems https www linkedin com posts iamabhishekchoudhary tech report of distributed deep learning activity 6787729738124341249 ffg8 crystal a unified cache storage system for analytical databases https www linkedin com posts iamabhishekchoudhary crystal semantic caching activity 6834495561652076544 ugvo voltdb https www linkedin com feed update urn li activity 6846055501105553408 magnet apache spark shuffle mechanism to handle petabytes of daily shuffled data and clusters with thousands of nodes https www linkedin com posts iamabhishekchoudhary magnet sharkshuffleservice activity 6851903731227799552 emlz set 2 paper real time data infrastructure uber https www linkedin com posts iamabhishekchoudhary real time data infrastructure activity 6792384716063469568 ukc paper dblog a watermark based change data capture framework by netflix https www linkedin com posts iamabhishekchoudhary change data capture dblog activity 6793492331967365120 517c paper large scale distributed systems tracing infrastructure https www linkedin com posts iamabhishekchoudhary dapper a large scale distributed tracing infrastructure activity 6796076018366070784 thmz paper paxos vs raft distributed consensus https www linkedin com posts iamabhishekchoudhary paxosvsraft activity 6798953621909250048 4kgw paper sorting in a distributedsystem https www linkedin com posts iamabhishekchoudhary distributedsystemsorting activity 6800374901174792192 6c5o paper a large scale analysis of hundreds of in memory cache clusters https www linkedin com posts iamabhishekchoudhary a large scale analysis in memory cache clusters activity 6802207087511298048 pimh design architecture of amazon timestream streaming at scale https www linkedin com posts iamabhishekchoudhary sql data dataengineering activity 6805811689687281664 4edz distributed system synchronization https www linkedin com posts iamabhishekchoudhary distributedsystemclocksynchronization activity 6808035719366373376 t gk paper consistent hashing resizing cluster or load in a distributedsystems with a simple concept https www linkedin com posts iamabhishekchoudhary consistenthashing activity 6807248364808282112 2ef2 deep dive foundation db unbundled database oltp strict serializability multi version concurrency control optimistic concurrency control simulation testing https www linkedin com posts iamabhishekchoudhary foundationdb opensource database activity 6828300478351237120 endf distributed database zippydb is the largest strongly consistent geographically distributed key value store at facebook database https www linkedin com posts iamabhishekchoudhary database rocksdb zookeeper activity 6830432000072048640 y8nw bigdata metadata management system https github com abhishek ch around dataengineering blob master docs metadata management md machine learning for database optimizations https www linkedin com posts iamabhishekchoudhary databases machinelearning dataengineering activity 6841287258293846016 qrvz singlestore a distributed database management system it s really more than a database https www linkedin com posts iamabhishekchoudhary singlestore database activity 6842396205964681216 3sly arrowsam in memory genomics sam format based on apache arrow https www linkedin com posts iamabhishekchoudhary arrowsam apache arrow based genomics sam activity 6843895456158814208 k86l realtime data processing fb deep dive on streamprocessing https www linkedin com posts iamabhishekchoudhary realtimedataprocessingatfacebook activity 6849698562062786560 uhtq arangodb native multi model nosql distributed database from sql to nosql https www linkedin com posts iamabhishekchoudhary arangodb from relational to nosql activity 6853329534280888325 8gsx to blob or not to blob large object storage in a database or a filesystem https www linkedin com posts iamabhishekchoudhary large object storage in a database or a filesystem activity 6859838164094255104 1p4m how to bring robustness while designing large scale complex systems https www linkedin com posts iamabhishekchoudhary robustness in complex system activity 6861671058144010240 18by facebook datawarehouse https www linkedin com posts iamabhishekchoudhary data warehouse analytics infrastructure activity 6872096948296454145 krwg building a performant oltp system on an open source columnar format and supporting near zero overhead data export to external tools https www linkedin com posts iamabhishekchoudhary columnar format for both oltp olap using activity 6876921762639036416 hyv1 towards demystifying serverless machine learning training https www linkedin com posts iamabhishekchoudhary towards demystifying serverless machine learning activity 6880184328421294080 wvi7 paper scalable linear algebra on top of distributed databases this will simplify machine learning on databases https www linkedin com posts iamabhishekchoudhary scalable linear algebra on a relational database activity 6883378575798611968 pzg1 paper are you sure you want to use mmap in your database management system https www linkedin com posts iamabhishekchoudhary paper dont use mmap in your database management activity 6888862226975924224 j4tn what is rbac or role based access control https www linkedin com posts iamabhishekchoudhary rbac activity 6939859154085814272 v nb utm source linkedin share utm medium member desktop web vectorization vs compilation in query execution https www linkedin com posts iamabhishekchoudhary vectorization vs compilation in query execution activity 6967759062994194432 hx9e utm source share utm medium member desktop sqlite vs duckdb https www vldb org pvldb vol15 p3535 gaffney pdf advanced glow is an open source toolkit for working with genomic data at biobank scale and beyond using apachespark deltalake https www linkedin com posts iamabhishekchoudhary apachespark deltalake bioinformatics activity 6758414696254119936 rcz5 expasy databases and software tools in proteomics genomics phylogeny systems biology evolution population genetics and transcriptomics https www linkedin com posts iamabhishekchoudhary genomics bioinformatics expasy activity 6750752435607793664 4m1q what is metadata a data engineering necessity https www linkedin com posts iamabhishekchoudhary what is metadata activity 6860433758181474304 qlcy what is distributed database https www linkedin com posts iamabhishekchoudhary distributeddatabaseintroduction activity 6864058792556982272 ulzz to partition or not to partition that is the join question in a real system https www linkedin com posts iamabhishekchoudhary when does radix partitioning pay of in database activity 6879826992397742080 fqzn paper solana a new architecture for a high performance blockchain inspired by distributed systems https www linkedin com posts iamabhishekchoudhary solana whitepaper distributed blockchain activity 6881606001796235264 jdbu scaling large production clusters with partitioned synchronization https www linkedin com posts iamabhishekchoudhary scaling large production clusters activity 6881968002917638144 5ciq paper volcano operator model is based on relational algebra https www linkedin com posts iamabhishekchoudhary volcano query processing engine activity 6884139657123241984 zwey paper faster and cheaper serverless computing on harvested resources https www linkedin com posts iamabhishekchoudhary faster and cheaper serverless computing on activity 6892139456795598850 x qs dbos a paper on dbms oriented operating system https www linkedin com posts iamabhishekchoudhary dbos database operating system activity 6895067128035127296 v7hh ssd storage scale caching without increasing too much cost smart indexing for faster data query https www linkedin com posts iamabhishekchoudhary lifescience dataengineering datainfrastructure activity 6902532964022849537 ebye paper lineage tracing for general data warehouse transformations https www linkedin com posts iamabhishekchoudhary paper lineage tracing activity 6909529244867960832 z ks utm source linkedin share utm medium member desktop web what every programmer should know about memory https www linkedin com posts iamabhishekchoudhary what every programmer should know about memory activity 6929358484312342528 cqtq deployment archetypes for cloud applications https www linkedin com posts iamabhishekchoudhary deployment archetypes for cloud applications activity 6934872860444299264 2dm utm source linkedin share utm medium member desktop web polardb serverless a cloud native database for disaggregated data centers https www linkedin com posts iamabhishekchoudhary polardb serverless activity 6948647647712837633 grs utm source linkedin share utm medium member desktop web everything you always wanted to know about compiled and vectorized queries but were afraid to ask https www linkedin com posts iamabhishekchoudhary vectorizationvscompilation activity 6951179494887981056 dc3b utm source linkedin share utm medium member desktop web dual use of artifcial intelligence powered drug discovery https www nature com articles s42256 022 00465 9 pdf discussions should you pick managed service or build self managed open source infrastructure https www linkedin com posts iamabhishekchoudhary data engineering managed service vs self activity 6901439190475579392 bxxy what is sigstore https www linkedin com posts iamabhishekchoudhary github sigstoresigstore common go library activity 6927946358867824640 qbpk security threat model https owasp org www community threat modeling process kubernetes security secrets https www macchaffee com blog 2022 k8s secrets 2 ways of data ml product development https www linkedin com posts iamabhishekchoudhary machinelearning activity 6931979116527177729 eqzg utm source linkedin share utm medium member desktop web basics what is compiler programming language processor https www linkedin com posts iamabhishekchoudhary what is compiler activity 6897471758522212353 w9rs understanding raft consensus https www linkedin com posts iamabhishekchoudhary raft consensus activity 6898202083418279936 bl j how does ssh secure shell work https www linkedin com posts iamabhishekchoudhary lifescience dataengineering datainfrastructure activity 6903984507943227392 rqcw operation system memory management why do you even need virtual memory https www linkedin com posts iamabhishekchoudhary lifescience dataengineering datainfrastructure activity 6904349820576690176 1pgr | data-engineering machine-learning airflow datascience spark mlops devops infrastructure | ai |
awesome-visual-representation-learning-with-transformers | awesome visual representation learning with transformers awesome https awesome re badge svg https awesome re awesome transformers self attention in computer vision about transformers attention is all you need neurips 2017 ashish vaswani noam shazeer niki parmar jakob uszkoreit llion jones aidan n gomez lukasz kaiser illia polosukhin paper https arxiv org abs 1706 03762 official code https github com tensorflow tensor2tensor pytorch implementation https github com jadore801120 attention is all you need pytorch bert pre training of deep bidirectional transformers for language understanding naacl 2019 jacob devlin ming wei chang kenton lee kristina toutanova paper https arxiv org abs 1810 04805 offficial code https github com google research bert huggingface transformers https github com huggingface transformers efficient transformers a survey arxiv 2020 yi tay mostafa dehghani dara bahri donald metzler paper https arxiv org abs 2009 06732 a survey on visual transformer arxiv 2020 kai han yunhe wang hanting chen xinghao chen jianyuan guo zhenhua liu yehui tang an xiao chunjing xu yixing xu zhaohui yang yiman zhang dacheng tao paper https arxiv org abs 2012 12556 transformers in vision a survey arxiv 2021 salman khan muzammal naseer munawar hayat syed waqas zamir fahad shahbaz khan mubarak shah paper https arxiv org abs 2101 01169 combining cnn with self attention attention augmented convolutional networks iccv 2019 image classification irwan bello barret zoph ashish vaswani jonathon shlens quoc v le paper https arxiv org abs 1904 09925 pytorch implementation https github com leaderj1001 attention augmented conv2d self attention generative adversarial networks icml 2019 generative model gans han zhang ian goodfellow dimitris metaxas augustus odena paper https arxiv org abs 1805 08318 official code https github com heykeetae self attention gan videobert a joint model for video and language representation learning iccv 2019 video processing chen sun austin myers carl vondrick kevin murphy cordelia schmid paper https arxiv org abs 1904 01766 visual transformers token based image representation and processing for computer vision arxiv 2020 image classification bichen wu chenfeng xu xiaoliang dai alvin wan peizhao zhang masayoshi tomizuka kurt keutzer peter vajda paper https arxiv org abs 2006 03677 feature pyramid transformer eccv 2020 detection and segmentation dong zhang hanwang zhang jinhui tang meng wang xiansheng hua qianru sun paper http arxiv org abs 2007 09451 official code https github com zhangdong njust fpt revisiting stereo depth estimation from a sequence to sequence perspective with transformers arxiv 2020 depth estimation zhaoshuo li xingtong liu francis x creighton russell h taylor and mathias unberath paper http arxiv org abs 2011 02910 official code https github com mli0603 stereo transformer end to end lane shape prediction with transformers arxiv 2020 lane detection ruijin liu zejian yuan tie liu zhiliang xiong paper http arxiv org abs 2011 04233 official code https github com liuruijin17 lstr taming transformers for high resolution image synthesis arxiv 2020 image synthesis patrick esser robin rombach bjorn ommer paper http arxiv org abs 2012 09841 official code https github com compvis taming transformers transpose towards explainable human pose estimation by transformer arxiv 2020 pose estimation sen yang zhibin quan mu nie wankou yang paper https arxiv org abs 2012 14214 end to end video instance segmentation with transformers arxiv 2020 video instance segmentation yuqing wang zhaoliang xu xinlong wang chunhua shen baoshan cheng hao shen huaxia xia paper https arxiv org abs 2011 14503 transtrack multiple object tracking with transformer arxiv 2020 mot peize sun yi jiang rufeng zhang enze xie jinkun cao xinting hu tao kong zehuan yuan changhu wang ping luo paper https arxiv org abs 2012 15460 official code https github com peizesun transtrack trackformer multi object tracking with transformers arxiv 2021 mot tim meinhardt alexander kirillov laura leal taixe christoph feichtenhofer paper https arxiv org abs 2101 02702 line segment detection using transformers without edges arxiv 2021 line segmentation yifan xu weijian xu david cheung zhuowen tu paper https arxiv org abs 2101 01909 segmenting transparent object in the wild with transformer arxiv 2021 transparent object segmentation enze xie wenjia wang wenhai wang peize sun hang xu ding liang ping luo paper https arxiv org abs 2101 08461 official code https github com xieenze trans2seg bottleneck transformers for visual recognition arxiv 2021 backbone design aravind srinivas tsung yi lin niki parmar jonathon shlens pieter abbeel ashish vaswani paper http arxiv org abs 2101 11605 detr family end to end object detection with transformers eccv 2020 object detection nicolas carion francisco massa gabriel synnaeve nicolas usunier alexander kirillov sergey zagoruyko paper https arxiv org abs 2005 12872 official code https github com facebookresearch detr detectron2 implementation https github com poodarchu detr detectron2 deformable detr deformable transformers for end to end object detection iclr 2021 object detection xizhou zhu weijie su lewei lu bin li xiaogang wang jifeng dai paper http arxiv org abs 2010 04159 official code https github com fundamentalvision deformable detr end to end object detection with adaptive clustering transformer arxiv 2020 object detection minghang zheng peng gao xiaogang wang hongsheng li hao dong paper http arxiv org abs 2011 09315 up detr unsupervised pre training for object detection with transformers arxiv 2020 object detection zhigang dai bolun cai yugeng lin junying chen paper http arxiv org abs 2011 09094 detr for pedestrian detection arxiv 2020 pedestrian detection matthieu lin chuming li xingyuan bu ming sun chen lin junjie yan wanli ouyang zhidong deng paper http arxiv org abs 2012 06785 stand alone transformers for computer vision self attention only in local neighborhood image transformer icml 2018 niki parmar ashish vaswani jakob uszkoreit ukasz kaiser noam shazeer alexander ku dustin tran paper https arxiv org abs 1802 05751 official code https github com tensorflow tensor2tensor stand alone self attention in vision models neurips 2019 prajit ramachandran niki parmar ashish vaswani irwan bello anselm levskaya jonathon shlens paper https arxiv org abs 1906 05909 official code underconstruction https github com google research google research tree master standalone self attention in vision models on the relationship between self attention and convolutional layers iclr 2020 jean baptiste cordonnier andreas loukas martin jaggi paper https arxiv org abs 1911 03584 official code https github com epfml attention cnn exploring self attention for image recognition cvpr 2020 hengshuang zhao jiaya jia vladlen koltun paper https arxiv org abs 2004 13621 official code https github com hszhao san scalable approximations to global self attention generating long sequences with sparse transformers arxiv 2019 rewon child scott gray alec radford ilya sutskever paper https arxiv org abs 1904 10509 official code https github com openai sparse attention scaling autoregressive video models iclr 2019 dirk weissenborn oscar t ckstr m jakob uszkoreit paper https arxiv org abs 1906 02634 axial attention in multidimensional transformers arxiv 2019 jonathan ho nal kalchbrenner dirk weissenborn tim salimans paper https arxiv org abs 1912 12180 pytorch implementation https github com lucidrains axial attention axial deeplab stand alone axial attention for panoptic segmentation eccv 2020 huiyu wang yukun zhu bradley green hartwig adam alan yuille liang chieh chen paper https arxiv org abs 2003 07853 pytorch implementation https github com csrhddlam axial deeplab max deeplab end to end panoptic segmentation with mask transformers arxiv 2020 huiyu wang yukun zhu hartwig adam alan yuille liang chieh chen paper http arxiv org abs 2012 00759 global self attention with image preprocessing generative pretraining from pixels icml 2020 igpt mark chen alec radford rewon child jeff wu heewoo jun prafulla dhariwal david luan ilya sutskever paper https cdn openai com papers generative pretraining from pixels v2 pdf official code https github com openai image gpt an image is worth 16x16 words transformers for image recognition at scale iclr 2021 vit alexey dosovitskiy lucas beyer alexander kolesnikov dirk weissenborn xiaohua zhai thomas unterthiner mostafa dehghani matthias minderer georg heigold sylvain gelly jakob uszkoreit neil houlsby paper https arxiv org abs 2010 11929 pytorch implementation https github com lucidrains vit pytorch pre trained image processing transformer arxiv ipt hanting chen yunhe wang tianyu guo chang xu yiping deng zhenhua liu siwei ma chunjing xu chao xu wen gao paper http arxiv org abs 2012 00364 training data efficient image transformers distillation through attention arxiv 2020 deit hugo touvron matthieu cord matthijs douze francisco massa alexandre sablayrolles herve jegou paper http arxiv org abs 2012 12877 official code https github com facebookresearch deit rethinking semantic segmentation from a sequence to sequence perspective with transformers arxiv 2020 setr sixiao zheng jiachen lu hengshuang zhao xiatian zhu zekun luo yabiao wang yanwei fu jianfeng feng tao xiang philip h s torr li zhang paper http arxiv org abs 2012 15840 official code https fudan zvg github io setr tokens to token vit training vision transformers from scratch on imagenet arxiv 2021 t2t vit li yuan yunpeng chen tao wang weihao yu yujun shi francis eh tay jiashi feng shuicheng yan paper http arxiv org abs 2101 11986 official code https github com yitu opensource t2t vit transreid transformer based object re identification arxiv 2021 shuting he hao luo pichao wang fan wang hao li wei jiang paper http arxiv org abs 2102 04378 pyramid vision transformer a versatile backbone for dense prediction without convolutions wenhai wang enze xie xiang li deng ping fan kaitao song ding liang tong lu ping luo ling shao paper https arxiv org abs 2102 12122 official code https github com whai362 pvt global self attention on 3d point clouds point transformer arxiv 2020 points classification part semantic segmentation hengshuang zhao li jiang jiaya jia philip torr vladlen koltun paper http arxiv org abs 2011 00931 unified text vision tasks focused on vqa vilbert pretraining task agnostic visiolinguistic representations for vision and language tasks neurips 2019 jiasen lu dhruv batra devi parikh stefan lee paper https arxiv org abs 1908 02265 official code https github com facebookresearch vilbert multi task lxmert learning cross modality encoder representations from transformers emnlp 2019 hao tan mohit bansal paper https arxiv org abs 1908 07490 official code https github com airsplay lxmert visualbert a simple and performant baseline for vision and language arxiv 2019 liunian harold li mark yatskar da yin cho jui hsieh kai wei chang paper https arxiv org abs 1908 03557 official code https github com uclanlp visualbert vl bert pre training of generic visual linguistic representations iclr 2020 weijie su xizhou zhu yue cao bin li lewei lu furu wei jifeng dai paper https arxiv org abs 1908 08530 official code https github com jackroos vl bert uniter universal image text representation learning eccv 2020 yen chun chen linjie li licheng yu ahmed el kholy faisal ahmed zhe gan yu cheng jingjing liu paper https arxiv org abs 1909 11740 official code https github com chenrocks uniter pixel bert aligning image pixels with text by deep multi modal transformers arxiv 2020 zhicheng huang zhaoyang zeng bei liu dongmei fu jianlong fu paper https arxiv org abs 2004 00849 vilt vision and language transformer without convolution or region supervision arxiv 2021 wonjae kim bokyung son ildoo kim paper https arxiv org abs 2102 03334 focused on image retrieval unicoder vl a universal encoder for vision and language by cross modal pre training aaai 2020 gen li nan duan yuejian fang ming gong daxin jiang ming zhou paper https arxiv org abs 1908 06066 official code https github com microsoft unicoder imagebert cross modal pre training with large scale weak supervised image text data arxiv 2020 di qi lin su jia song edward cui taroon bharti arun sacheti paper https arxiv org abs 2001 07966 oscar object semantics aligned pre training for vision language tasks eccv 2020 xiujun li xi yin chunyuan li pengchuan zhang xiaowei hu lei zhang lijuan wang houdong hu li dong furu wei yejin choi jianfeng gao paper https arxiv org abs 2004 06165 official code https github com microsoft oscar training vision transformers for image retrieval arxiv 2021 alaaeldin el nouby natalia neverova ivan laptev herve jegou paper http arxiv org abs 2102 05644 focused on ocr layoutlm pre training of text and layout for document image understanding yiheng xu minghao li lei cui shaohan huang furu wei ming zhou paper https arxiv org abs 1912 13318 official code https github com microsoft unilm tree master layoutlm focused on image captioning cptr full transformer network for image captioning arxiv 2021 wei liu sihan chen longteng guo xinxin zhu jing liu paper http arxiv org abs 2101 10804 multi task 12 in 1 multi task vision and language representation learning jiasen lu vedanuj goswami marcus rohrbach devi parikh stefan lee paper https arxiv org abs 1912 02315 official code https github com facebookresearch vilbert multi task | transformers self-attention computer-vision awesome-list representation-learning vision-transformer | ai |
ConveRT | conversational sentence encoder github license https img shields io github license davidalami convert https github com davidalami convert blob main license github issues https img shields io github issues davidalami convert https github com davidalami convert issues github forks https img shields io github forks davidalami convert https github com davidalami convert network github stars https img shields io github stars davidalami convert https github com davidalami convert stargazers this project features the convert dual encoder model using subword representations and lighter weight more efficient transformer style blocks to encode text as described in the convert paper https arxiv org abs 1911 03688 it provides powerful representations for conversational data and can also be used as a response ranker also it features the multi context convert model that uses extra contexts from the conversational history to refine the context representations the extra contexts are the previous messages in the dialogue typically at most 10 prior to the immediate context installation just pip install the package works for python 3 7 and you are ready to go pip install conversational sentence encoder usage examples the entry point of the package is sentenceencoder class from conversational sentence encoder vectorizers import sentenceencoder to run the examples you will also need to pip install scikit learn text classification intent recognition sentiment classification open in colab https colab research google com assets colab badge svg https colab research google com github davidalami convert blob main examples text classification ipynb the convert model encodes sentences to a meaningful semantic space sentences can be compared for semantic similarity in this space and nlp classifiers can be trained on top of these encodings from sklearn import preprocessing from sklearn neighbors import kneighborsclassifier texts x hello can i speak to a actual person i ll wait for a human to talk to me i d prefer to be speaking with a human ok i m not talking to a real person so ok this is an automated message i need to speak with a real human hello i m so sorry but i d like to return can you send me instructions thank you im sorry i m not sure you understand what i need but i need to return a package i got from you guys how can i return my order no one has gotten back to me on here or emails i sent i can t wait that long even if the order arrives i will send it back i have a question what is your return policy i ordered the wrong size labels y speak human 5 return 5 initialize the convert dual encoder model sentence encoder sentenceencoder multiple contexts false output 1024 dimensional vectors giving a representation for each sentence x encoded sentence encoder encode sentences x encode labels le preprocessing labelencoder y encoded le fit transform y fit the knn classifier on the toy dataset clf kneighborsclassifier n neighbors 3 fit x encoded y encoded test sentence encoder encode sentences are you all bots i will send this trash back prediction clf predict test this will give the intents speak human return print le inverse transform prediction response selection neural ranking open in colab https colab research google com assets colab badge svg https colab research google com github davidalami convert blob main examples response selection ipynb convert is trained on the response ranking task so it can be used to find good responses to a given conversational context this section demonstrates how to rank responses by computing cosine similarities of context and response representations in the shared response ranking space response representations for a fixed candidate list are first pre computed when a new context is provided it is encoded and then compared to the pre computed response representations import numpy as np initialize the convert dual encoder model sentence encoder sentenceencoder multiple contexts false questions np array where is my order what is the population of london will you pay me for collaboration outputs 512 dimensional vectors giving the context representation of each input these are trained to have a high cosine similarity with the response representations of good responses questions encoded sentence encoder encode contexts questions responses np array we expect you to work for free there are a lot of people its on your way outputs 512 dimensional vectors giving the response representation of each input these are trained to have a high cosine similarity with the context representations of good corresponding contexts responses encoded sentence encoder encode responses responses computing pairwise similarities as a dot product similarity matrix questions encoded dot responses encoded t indices of best answers to given questions best idx np argmax similarity matrix axis 1 will output answers in the right order its on your way there are a lot of people we expect you to work for free print np array responses best idx multi context response ranking similarity classification open in colab https colab research google com assets colab badge svg https colab research google com github davidalami convert blob main examples multi context ipynb this model takes extra dialogue history into account allowing to create smart conversational agents import numpy as np from conversational sentence encoder vectorizers import sentenceencoder initialize the multi context convert model that uses extra contexts from the conversational history to refine the context representations multicontext encoder sentenceencoder multiple contexts true dialogue np array hello hey how are you responses np array where do you live i am fine you i am glad to see you outputs 512 dimensional vectors giving the whole dialogue representation dialogue encoded multicontext encoder encode multicontext dialogue encode response candidates using the same model responses encoded multicontext encoder encode responses responses get the degree of response fit to the existing dialogue similarities dialogue encoded dot responses encoded t find the best response best idx np argmax similarities will output i am fine you print responses best idx notes this project is a continuation of the abandoned https github com polyai ldn polyai models it is distributed under the same license | nlp natural-language-processing natural-language-understanding tensorflow | ai |
awesome-youtubers | lint disable double link lint disable awesome heading div align center h1 awesome youtubers a href https awesome re img src https awesome re badge flat2 svg alt awesome a h1 br div a href https github com josedefreitas awesome youtubers img width 428 src logo svg alt awesome youtubers logo a div div watch video tutorials from youtubers that teach you about technology other languages this repository only lists awesome youtubers that speak english awesome contributors have created their own list of awesome tech youtubers in other languages below you can see all the repositories related if you believe you have awesome youtubers in a certain language and you have at least more than a few of them you can create your own list and let me know opening a new issue https github com josedefreitas awesome youtubers issues new brazilian portuguese https github com rcarubbi awesome brazilian youtubers spanish https github com rcarubbi awesome spanish youtubers contents programming in general programming in general web development web development frontend frontend backend backend computer science computer science machine learning machine learning devops devops game development game development mobile development mobile development cybersecurity cybersecurity internet networking internetnetworking software in general software in general conferences conferences operating systems operating systems digital design digital design audio and video audio and video hardware hardware competitive programming competitive programming life skills life skills programming in general there re a lot of programming languages out there in this section you can find any programming language including python c java also many youtubers teach about frameworks of these languages not only programming languages but more general programming stuff you can find either practical tutorials or theoretical tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwefeh0os2pjnyxfjc2tlo vu5sssb3rx6doefh s100 c k c0xffffffff no rj mo https www youtube com c techsithtube techsith https www youtube com c techsithtube content about react js javascript featured playlists react js from scratch node js tutorials for beginners data structures in javascript interview preparation img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajymy6xr9 w7gtkpw1ov2oyxzvncoe ff1d7vk36cg s100 c k c0xffffffff no rj mo https www youtube com c programmingwithmosh programming with mosh https www youtube com c programmingwithmosh content about frontend backend featured playlists javascript tutorials javascript frameworks videos python tutorials node js tutorials c net tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyd7g6pjdad3j2ouariuf u42p yzzpqw6 e b08q s88 c k c0x00ffffff no rj https www youtube com c codinggarden coding garden https www youtube com c codinggarden content about javascript javascript frameworks featured playlists code wars code katas br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzccg7r pwnzbe9sotrkkgmibgctg8xaa33bt2axw s100 c k c0xffffffff no rj mo https www youtube com c derekbanas derek banas https www youtube com c derekbanas content about mathematics programming languages featured playlists learn algebra c tutorial c tutorial java video tutorial a lot of diverse topics img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwvjl968probjwsmynghqyxag ei0 3zk6qnihm s88 c k c0x00ffffff no rj https www youtube com c donjonescontech don jones https www youtube com c donjonescontech content about powershell featured playlists learn windows powershell in a month of lunches sapien powershell training powershell tips tricks and snippets img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxnlwznuxotpxhy9j8pvbdyzbgtkwbuznrvhtmh s100 c k c0xffffffff no rj mo https www youtube com c coreyms corey schafer https www youtube com c coreyms content about python backend featured playlists python tutorials django tutorials flask tutorials matplotlib tutorials sql tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwo68b0xlmzfjimebun1fwzilmzjfvbgsmyuggmvg s100 c k c0xffffffff no rj mo https www youtube com c learninglad learninglad https www youtube com c learninglad content about c c c featured playlists learn c programming language tutorial for beginners learn c programming video tutorial for beginners c object oriented programming and many more playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzsubqevwevfj3ti2gzqcvwpfc4e38ifmspgygcxw s100 c k c0xffffffff no rj mo https www youtube com c thecodingtrain the coding train https www youtube com c thecodingtrain content about algorithms various programming languages featured playlists the nature of code simulating natural systems with processing learning processing a beginner s guide to programming images animation and interaction img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxo5sxmk5en0bxdwzw65clodmmgydowwdnwlmd0zrw s100 c k c0xffffffff no rj mo https www youtube com user intellipaaat intellipaat https www youtube com user intellipaaat content about devops artificial intelligence featured playlists devops tutorial for beginners artificial intelligence tutorial machine learning tutorial python tutorial for beginners img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxg7zdo aqfl4bqwz38 7rzkyydouqtpvupapzo s100 c k c0xffffffff no rj mo https www youtube com c programmingknowledge programmingknowledge https www youtube com c programmingknowledge content about backend apis featured playlists node js tutorial for beginners python 3 tutorial for beginners c programming tutorial for beginners other videos about different programming languages img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwxtgnb9fhae65raihahkq0d227 wf4isvdixw 6q s100 c k c0xffffffff no rj mo https www youtube com c smartherd smartherd https www youtube com c smartherd content about kotlin android more programming languages featured playlists a lot of kotlin android videos ruby tutorial for beginners dart tutorial for beginners java tutorial for beginners img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajytuyuka0zycqkulvrffwtmdrp2ibbyx th4mmi2a s100 c k c0xffffffff no rj mo https www youtube com c tensorprogramming tensor programming https www youtube com c tensorprogramming content about rust dart flutter featured playlists flutter tutorials dart dart for beginners intro to rust rust projects br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwft03raznospwlfo5c1kw1rp 1o3xgpw9mnreqmq s288 c k c0xffffffff no rj mo https www youtube com channel uc8butisfwt wl7ev0huk0bq freecodecamp org https www youtube com channel uc8butisfwt wl7ev0huk0bq content about general programming computer science web dev devops etc featured playlists python tutorials machine learning java tutorials br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxlkpaj19dmfws8cuyfwknhy k9vbmnlh0n72rgkq s100 c k c0xffffffff no rj mo https www youtube com c javabrainschannel java brains https www youtube com c javabrainschannel content about spring java featured playlists spring framework courses playlists spring boot microservices full course playlists java ee courses playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxrgfv1ycch9tamnue4h4j1ih 5i9hlr5cvtrgd s100 c k c0xffffffff no rj mo https www youtube com user iamtimcorey iamtimcorey https www youtube com user iamtimcorey content about c net featured playlists advanced topics in c getting started with c c user interfaces many other c videos net video tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzfjlyjgevyb9xbzrjekikp4j1xcmjkgzljmebrca s100 c k c0xffffffff no rj mo https www youtube com c calebthevideomaker2 caleb curry https www youtube com c calebthevideomaker2 content about python javascript c c c featured playlists python programming javascript playlist c tutorials c programming tutorials c tutorials java tutorials database tutorial videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxtfwkcyok9gky4vuqwh1yuuxjnmvn3hod5wlrlmq s100 c k c0xffffffff no rj mo https www youtube com c codingentrepreneurs codingentrepreneurs https www youtube com c codingentrepreneurs content about python featured playlists 30 days of python python 3 8 coding with python python 3 8 and django 3 install and setup on windows and mac img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajw7fybqnfggkdrlayjwmcttlzlobe00ebnq07 a s100 c k c0xffffffff no rj mo https www youtube com c angelsix angelsix https www youtube com c angelsix content about c featured playlists c mastery course 2020 c programming beginners net core and asp net server development tutorials wpf ui programming c img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzcq5ntteilarv9pprq3q 1deg3iqqehmeokj94 s100 c k c0xffffffff no rj mo https www youtube com c datadaft datadaft https www youtube com c datadaft content about data science python r practical theoretical featured playlists python for data analysis introduction to r python programming practice pandas more playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwzdjzblse byxn1eaxa5ll42m2qn 8uel j0wbda https www youtube com c giraffeacademy mike dane https www youtube com c giraffeacademy content about mongodb sql c c featured playlists mongodb nosql database php programming language c programming language c programming language img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajznc40hgjutfjds knadxc 6isyqon0hw54tgj92w s100 c k c0xffffffff no rj mo https www youtube com channel uc ffl5jgocorwavom fbywa alex lee https www youtube com channel uc ffl5jgocorwavom fbywa content about java featured playlists java basics 1 java basics 2 java intermediate 1 br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu 9afnlswxc3skup hmywzszozf5hiux2z7phzq g s176 c k c0x00ffffff no rj https www youtube com c redisinc redis https www youtube com c redisinc content about redis featured playlists redis explained redis chaching redis data types and much more br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwniz0iar0 iiqjcju5gun6olee bleprltwiy1qn q s100 c k c0xffffffff no rj mo https www youtube com c neuralnine neuralnine https www youtube com c neuralnine content about python data structures data science machine learning ethical hacking featured playlists algorithms data structures python machine learning tutorial python ai projects python hacking projects python beginner intermediate tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwniujeo6f8reelm9g2vz1bdv8aov8mdcltrtphgmca s88 c k c0x00ffffff no rj https www youtube com c realpython real python https www youtube com c realpython content about python featured playlists python intermediate and advanced features functional programming in python tools for effective python development how to build your python career img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnhlj6dbmxksj17libv 6dtkl2nhss 0p7lfahsc s88 c k c0x00ffffff no rj https www youtube com c lucidprogramming lucidprogramming https www youtube com c lucidprogramming content about python featured playlists algorithms python data structures python technical interview preparation web scraping and automation python many more videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwngu9ixqzqkubxieyuc38lf2szd4aphvjudmhqb8cg s88 c k c0x00ffffff no rj https www youtube com user elfocrashdev nick chapsas https www youtube com user elfocrashdev content about c net azure aws general programming featured playlists asp net core rest api tutorial asp net core general tutorials essential nuget packages in net software engineering fundamentals img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnh 0hyxetceoipqp5ym1ozbavrxuxaep7o1ivi s88 c k c0x00ffffff no rj https www youtube com channel ucx7 wi9iosla9691intfo5q hackers realm https www youtube com channel ucx7 wi9iosla9691intfo5q content about python problem solving featured playlists hackerrank problem solving machone deep learning projects tutorials br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwngkla2k2hztbjibf2puax9jdt9ytpndpjqvruuniw s88 c k c0x00ffffff no rj https www youtube com channel uc4svo0ue36xcfoyb5lh1viq bro code https www youtube com channel uc4svo0ue36xcfoyb5lh1viq content about java python c c featured playlists playlists of these languages with a lot of videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwng6mxfvh96z90ubq0szihcoleaqag6if8db2 ho s88 c k c0x00ffffff no rj https www youtube com c dotnet dotnet https www youtube com c dotnet content about net asp net c featured playlists desktop and net code 101 asp net core 101 devops for net c language highlights c advanced and more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwngnh3h5akc8brnmvsvgomji7bj1 jpwxaf7v5kh s88 c k c0x00ffffff no rj https www youtube com c csharp video tutorialsblogspot kudvenkat https www youtube com c csharp video tutorialsblogspot content about sql server c asp net design patterns featured playlists design patterns tutorial for beginners sql server tutorial for beginners c tutorial for beginners asp net tutorial for beginners img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnj xt8ecdr2ypu93 3iyitn3mwze4j5rhasgtd06q s88 c k c0x00ffffff no rj https www youtube com channel ucg1sje1gwo8a0xqoftfleaa ian schoenrock https www youtube com channel ucg1sje1gwo8a0xqoftfleaa content about c swift kotlin featured playlists c full course beginner to advanced swift course kotlin course xamarin forms lists course and more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnh02l6xsxql7ysjyxbio ww9nk9ujdzg0bhy21m s176 c k c0x00ffffff no rj https www youtube com channel uc yuwvuplujzvieeligkbka javidx9 https www youtube com channel uc yuwvuplujzvieeligkbka content about c theoretical game development featured playlists nes emulator from scratch interesting programming code it yourself br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolr6p3sbprervrqgi0zt5c8dddo4ntxm5r9hwk0b s88 c k c0x00ffffff no rj https www youtube com c singletonsean singletonsean https www youtube com c singletonsean content about c wpf net featured playlists full stack wpf mvvm wpf navigation wpf responsive design wpf custom controls design patterns img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com wldr 0xgfavi8yljwscuqcl369ylyvhzxlhatqvmzzalsoazrl0xe1dpycmjlhkp y6l7d0 s176 c k c0x00ffffff no rj https www youtube com c alexgutjahr alex gutjahr spring boot kotlin https www youtube com c alexgutjahr content about spring boot kotlin featured playlists spring boot br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com kmusqv3 wwpmgsk7xjvf5pvik7armukab6aub8i0y7vtjcqe5ddu8yne1padrqriqver6brw s800 c k c0xffffffff no rj mo https www youtube com c arjancodes arjancodes https www youtube com c arjancodes content about python software design featured playlists software design in python code roasts br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com n5sli5ps1swnui58fatpsb2hvfko9nzj34ztrxra8v gl5kyp97oi1a5ynlkrgd btuthrefjw s800 c k c0xffffffff no rj mo https www youtube com codeaesthetic codeaesthetic https www youtube com codeaesthetic content about programming best practices featured playlists n a br back to the top contents web development web development includes frontend development the very basics html css and javascript as well as the most modern frameworks react js vue js angular it also includes backend development topics like node js graphql sql and more basic things like dns urls deployment you can also find freelancing as a web developer and other related stuff frontend img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx1mdln8 l1yg8jio2yghvjzqnmz03dsc3pbnqe s100 c k c0xffffffff no rj mo https www youtube com channel uc80pwrj zu8zu0hsmnvwkww codevolution https www youtube com channel uc80pwrj zu8zu0hsmnvwkww content about react js javascript typescript featured playlists react js tutorial for beginners react js hooks tutorial react js redux tutorial react js storybook tutorial react js formik tutorial practical react js img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxxwva615onz5us60u38fgk3eq fnqvdmew 4rr s100 c k c0xffffffff no rj mo https www youtube com c fluxwithransegall flux https www youtube com c fluxwithransegall content about web design design freelancing featured playlists free web design course 2020 portfolios case studies reviews how to start freelancing freelance tips how to find clients grow your business img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx86xmyig 0icwveekd2iz8vefyhgghjlpj2q6l s88 c k c0x00ffffff no rj https www youtube com channel uc4qvz552q dxidmsc2cewca css animation https www youtube com channel uc4qvz552q dxidmsc2cewca content about css featured playlists full course level up your css animation skills br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx 1d5dpzetr6oobandbkdtqp9h4n9rwcxekrwm0q s100 c k c0xffffffff no rj mo https www youtube com c javascriptmastery javascript mastery https www youtube com c javascriptmastery content about react js javascript featured playlists learn javascript master react js by building real projects br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyikkd9fgtb3olrvhqy8wnxgthdekp6tcmxr84 s100 c k c0xffffffff no rj mo https www youtube com c omatum omatum https www youtube com c omatum content about web development design featured playlists live omatum bucks software project streams software project omatumbucks live omatum com website development project streams uncut live streams img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyshhb ekiuzpidtujenomwrvk4j0mgrdrd2iryk1k s100 c k c0xffffffff no rj mo https www youtube com c punitchawla punit chawla https www youtube com c punitchawla content about web design adobe xd featured playlists design weekly design essentials br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzj9wp5nizuicb3dhq5jgunw5b98dcwgesv2tzptq s100 c k c0xffffffff no rj mo https www youtube com c deved dev ed https www youtube com c deved content about web design javascript react js featured playlists web design tutorial ui ux react js tutorial for beginners css tutorials javascript tutorials playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyc278mnqvwj6nyjaut6e3tzxrz03 crsibndqiwa s100 c k c0xffffffff no rj mo https www youtube com c designcourse designcourse https www youtube com c designcourse content about web design design ui ux adobe xd featured playlists illustrator tutorials adobe xd tutorials photoshop tutorials latest dev tuts latest design tuts img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajw9rdlrdqnfcasi1umf8k3b87orxhmec9al6opq s100 c k c0xffffffff no rj mo https www youtube com c redstapler channel red stapler https www youtube com c redstapler channel content about javascript css featured playlists css tips and tricks some playlists about javascript libraries br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxvs1xkkiwub wfs4cqkwjvu5kjl peea7l8ajs s100 c k c0xffffffff no rj mo https www youtube com channel ucsksymty 4byr wytljex7a brian design https www youtube com channel ucsksymty 4byr wytljex7a content about frontend react js web design featured playlists react js tutorials html css javascript tutorials videos of web design ui ux img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwale gczklnoexi8fyqoby3omwcm0dv ek008lgg s100 c k c0xffffffff no rj mo https www youtube com c angularfirebase fireship https www youtube com c fireship content about javascript flutter firebase featured playlists 100 seconds of code angular essentials flutter frontend mini projects br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxb vf1ep6r278yghzie53tmlh13rcku6zsuott6w s288 c k c0xffffffff no rj mo https www youtube com c academind academind https www youtube com c academind content about frontend javascript web design featured playlists react js redux basics vue js 2 getting started amazon web services basics img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajytprjfe acekippfxrf3fxame6nkobv ohcgov s100 c k c0xffffffff no rj mo https www youtube com c florinpop florin pop https www youtube com c florinpop content about javascript css featured playlists learn javascript learn react js learn css javascript array methods br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwutmbkzd9ste28x5qohn vrcpcp528iqevqauh s100 c k c0xffffffff no rj mo https www youtube com c leveluptuts leveluptuts https www youtube com c leveluptuts content about frontend web design cms featured playlists design tutorials playlists cms tutorials playlists html css tutorials react js videos and more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwxxitlfxkmpx2h2oklkwxzr ooclcxkkmf1ugs s100 c k c0xffffffff no rj mo https www youtube com c learncodeacademy learncode academy https www youtube com c learncodeacademy content about javascript javascript frameworks featured playlists javascript tutorial for beginners react js angular and vue js playlists mean stack tutorials jquery tutorial for beginners img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz7nro1ygyd8nzdaiglqeppp82vf3vxwheyiaux s100 c k c0xffffffff no rj mo https www youtube com c rawcoding raw coding https www youtube com c rawcoding content about asp net net featured playlists modern web development series vue js beginner guide with asp net core asp net core tutorials a lot more net tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxuvxcsvmr6smjzptk jbrui6kx9ruaafksm0o7ba s88 c k c0x00ffffff no rj https www youtube com c layoutland layout land https www youtube com c layoutland content about css featured playlists css theoretical and practical videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajywnmk6ql70o3p x2ehir01siiyamhspnan04zhwa s100 c k c0xffffffff no rj mo https www youtube com c thenetninja the net ninja https www youtube com c thenetninja content about frontend frameworks featured playlists flutter tutorial for beginners react js and react native playlists a lot of javascript playlists including javascript frameworks graphql tutorial many many more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajweymlm54q5cx7nwbsurethmzvmca9tp 3vxrorba s100 c k c0xffffffff no rj mo https www youtube com kepowob kevin powell https www youtube com kepowob content about css featured playlists css grid videos flexbox basics responsive css tutorials css animation many more css video tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyybq2mid0yybluoq4vnxb3ktfcaowgghqj9wecbw s100 c k c0xffffffff no rj mo https www youtube com c hswolff harry wolff https www youtube com c hswolff content about react js javascript featured playlists react tutorials building a react native app javascript tutorials typescript playlist img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxsw9sqaju q4zxaxfqmgblskfkusomuanlvk5 mw s100 c k c0xffffffff no rj mo https www youtube com c hiteshchoudharydotcom hitesh choudhary https www youtube com c hiteshchoudharydotcom content about frontend featured playlists javascript course docker for beginners mongodb and mocha vue js crash course a lot more of playlists and videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxnh7uvf0izb1vbfp n r4vnuwpvlzry5ekojqeyw https www youtube com c devtipsfordesigners devtips https www youtube com c devtipsfordesigners content about javascript css and css preprocessors next js featured playlists css animations series learn jquery in 15 minutes webflow from scratch regular expressions series img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwbtkw7ervlts31hvyvlsqsz5tpti kxejnjeebiq s88 c k c0x00ffffff no rj https www youtube com channel ucbwxnuipzslfuckbpsc7jog online tutorials https www youtube com channel ucbwxnuipzslfuckbpsc7jog content about html css js animations responsive web designs featured playlists css animation effects responsive website design from scratch css button hover effect parallax effect css tutorials and many more br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzlwnq4kjb8ohn k5ubdeswj2p qxqj6gsxjklvkw s88 c k c0x00ffffff no rj https www youtube com c bitfumes bitfumes https www youtube com c bitfumes content about javascript nextjs nuxtjs vuejs reactjs sveltejs css and css preprocessors laravel featured playlists vuejs sveltejs laravel livewire full course learn to use nuxt js reactjs basics laravel php framework tutorial full course 6 5 hours 2020 img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzlhhukysdgveuispbug5sno 254oqp9zyry2e0 s88 c k c0x00ffffff no rj https www youtube com channel ucfbnilppjauex4znoulh0cw web dev simplified https www youtube com channel ucfbnilppjauex4znoulh0cw content about web development in general javascript react css featured playlists small projects who wants to be a megabit trivia game css tutorials web app security authentication img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnjcnjtnkgvhvny9thj60vx mgsd5cvpprh6hwbbiq s88 c k c0x00ffffff no rj https www youtube com c ebenezerdon ebenezer don https www youtube com c ebenezerdon content about html css javascript firebase fastapi typescript featured playlists getting started with web development version control frontend database management img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnifqad7zr3dcs016mmoolitywgludmhhy1o9rabmj8 s88 c k c0x00ffffff no rj https www youtube com bayanbennett bayan bennett https www youtube com bayanbennett content about javascript typescript html css featured playlists devlogs how to javascript shorts code reviews br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolq1oqkij6nguge7nmb2chzjqplmu1rbdh hlc9i q s176 c k c0x00ffffff no rj https www youtube com c aniakub c3 b3w featured code with ania kub w https www youtube com c aniakub c3 b3w featured content about javascript react react native next js node js express graphql featured playlists javascript game walkthroughs clones blockchain javascript inbuilt methods img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedoltj0chzdvufej 9aqi2hokozl6v la1eiizrqp2 s176 c k c0x00ffffff no rj https www youtube com channel uchrp19hu7y2lwfi0ai6wagq learnwebcode https www youtube com channel uchrp19hu7y2lwfi0ai6wagq content about css javascript wordpress web development featured playlists wordpress theme development learn css br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu fb c8gczs81r vbwgzndcszgd1zga2qcyfachmg s176 c k c0x00ffffff no rj https www youtube com c traversymedia traversy media https www youtube com c traversymedia content about javascript css html vue js react js tailwind css mongodb express js web development featured playlists vue js crash course react js crash course semantic ui in 60 minutes full stack vue js express and mongodb async js crash course img align left height 94px width 94px alt channel s avatar src https yt3 googleusercontent com ytc apkrfkayewnvehgthrdzyizwaqmjf9c3jndnkh07l kx s176 c k c0x00ffffff no rj https www youtube com frankslaboratory franks laboratory https www youtube com frankslaboratory content about css html javascript featured playlists javascript game development masterclass 2023 particle effects masterclass css3 experiments game development with vanilla javascript backend img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwavsapa3xtqxzazhlt 4rji44iwwdy49 d1rqxddw s88 c k c0x00ffffff no rj https www youtube com c swyxtv swyx https www youtube com c swyxtv content about web development in general serverless featured playlists aws amplify br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwiixf7rjb mvjldbmdvpxrnrnxdkgwnmruzsuamw s288 c k c0xffffffff no rj mo https www youtube com c husseinnasser software engineering hussein nasser https www youtube com c husseinnasser software engineering content about databases networking backend development security protocols concepts featured playlists high availability python by example http 2 message queues pubsub systems proxies many more video tutorials br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjwzhcyz5mr0huk zyd2v1cj27ovlwsdlz0anloe s176 c k c0x00ffffff no rj https www youtube com theprimeagen theprimeagen https www youtube com theprimeagen content about backend development concepts optimization techniques tools languages microservices featured playlists rust for typescript devs performance vim as your editor building great tools img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com k4vervogthjqgk9cj6pkc2sqqec fm1ucyuxw bz8dbbscoq phrmiveeharikpmsydhhtz5me4 s800 c k c0xffffffff no rj mo https www youtube com dreamsofcode dreams of code https www youtube com dreamsofcode content about productivity tools featured playlists neovim rust node js br back to the top contents computer science the core concepts of the computer sciences can be found here some channels teach you about math operations including a lot of playlists with different math topics the same goes for math and physics closely related to computers and hardware perfect if you want to learn about the deepest terms img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxqelvtrq9bx4eu2g8kuazxvsuf6ooqdhkjcfcnqa s100 c k c0xffffffff no rj mo https www youtube com c zachstar zach star https www youtube com c zachstar content about math featured playlists applied math math major computer science computer engineering electrical engineering mechanical engineering img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzn7b7o3zaktjjrfjx0qdfdw9tqlfia 1boaknkxw s100 c k c0xffffffff no rj mo https www youtube com c domainofscience domain of science https www youtube com c domainofscience content about math quantum physics featured playlists mathematics videos domain of science the map of quantum physics expanded videos i made for d wave systems img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajymfskeh0q1kz4gl9thzsi7l e0bfkj1twcudef s100 c k c0xffffffff no rj mo https www youtube com user nesoacademy neso academy https www youtube com user nesoacademy content about electronics networking theoretical classes featured playlists network theory computer networks digital electronics signals and systems programming languages playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxg wokorznoxhfeqtxurkheur9zn1y6lzgylfctq s100 c k c0xffffffff no rj mo https www youtube com user computerphile computerphile https www youtube com user computerphile content about software hardware featured playlists how computer memory works data analysis with dr mike pound artificial intelligence with rob miles remote working technologies img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz7gzmfolrj6qinabohrz1pg7ujkcxqvmnzn6mc s100 c k c0xffffffff no rj mo https www youtube com user stanfordonline stanfordonline https www youtube com user stanfordonline content about theoretical classes lectures featured playlists computer science and security engineering energy technologies leadership and management natural language processing with deep learning img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwkt eupqsdyaa1amzl7fho jibtfeaexx8oupt s100 c k c0xffffffff no rj mo https www youtube com user fcihocw fcih ocw https www youtube com user fcihocw content about math data science featured playlists data science data visualization playlists mathematics and statistics playlists more videos related img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyjpfeubx3sfvglowuy98yii pnruyabxdljso7 s100 c k c0xffffffff no rj mo https www youtube com c mitocw mit opencourseware https www youtube com c mitocw content about math computer science engineering featured playlists mathematics playlists computer science playlists engineering playlists br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajws9phgnergzfu5yp y5yfwxcidouxa7uwv ufva s288 c k c0xffffffff no rj mo https www youtube com c cs50 harvard s cs50 https www youtube com c cs50 content about computer science and general programming featured playlists cs50 s introduction to artificial intelligence with python 2020 cs50 s web programming with python and javascript 2020 cs50 s introduction to game development 2018 img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzf k41fq96ye6jxs fe6hr7zvmxsqbqz1qnxgpjg s100 c k c0xffffffff no rj mo https www youtube com c 3blue1brown 3blue1brown https www youtube com c 3blue1brown content about maths and visualization of various mathematical concepts featured playlists essence of calculus essence of linear algebra neural networks br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnh5lcfzxxmvzokjlodxqtbc9wxjkdln4f sksee4w s88 c k c0x00ffffff no rj https www youtube com c socratica socratica https www youtube com c socratica content about math computing general science featured playlists abstract algebra learn python playlist videos about studying many more science topics img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwngk x ibq6xrq nexejxp7enpsydhubdhoacpgf s88 c k c0x00ffffff no rj https www youtube com channel uczcft11cwbi3mhnlgf019nw abdul bari https www youtube com channel uczcft11cwbi3mhnlgf019nw content about algorithms featured playlists algorithms br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnjxmp9i5sl4fjux1hwlg0k3jzvimz6anmuhpdjl s88 c k c0x00ffffff no rj https www youtube com channel ucleest7dkdvo fkrbw0otra mycodeschool https www youtube com channel ucleest7dkdvo fkrbw0otra content about c c language data structures algorithm featured playlists sorting algorithms data structures pointers in c c introduction to programming through c img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnghnfewskurz0encxxagmx5r vl2jdviqvmycc3 s88 c k c0x00ffffff no rj https www youtube com c garyexplains gary explains https www youtube com c garyexplains content about concepts theory featured playlists raspberry pi microcontrollers programming linux more br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolt8mk 8sz5qxllvly c54mdkst6exgsku0ttyir s88 c k c0x00ffffff no rj https www youtube com c joshstarmer statquest with josh starmer https www youtube com c joshstarmer content about data visualization machine learning data manipulation neural networks featured playlists linear regression and linear models machine learning high throughput sequencing statistics fundamentals and more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolq4zr8l 6qw4muu5wvjeggiloigihhigqrscwtz s176 c k c0x00ffffff no rj https www youtube com channel ucq0egvltyy llt1ouso 0fq eddie woo https www youtube com channel ucq0egvltyy llt1ouso 0fq content about mathematics featured playlists binomial theory calculus algebra complex numbers br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolrab xl9ykoesswcgbwbaql4irhytwkar9ds9ct s176 c k c0x00ffffff no rj https www youtube com channel ucohhuummrzaivx7bd4t2czg professor leonard https www youtube com channel ucohhuummrzaivx7bd4t2czg content about mathematics featured playlists algebra statastics calculus br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedoltl1z4eg7eiszu6dmkqoksqp8yuqhxrnk j7 xf s176 c k c0x00ffffff no rj https www youtube com channel ucv7czwhmx 0vk8dsyrs7gcg learn coding https www youtube com channel ucv7czwhmx 0vk8dsyrs7gcg content about java oop oracle database datastructure in hindi lang featured playlists java oop oracle database c programs br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyhn9zallbp5hbxpaqvd9x00ozdrllksoju4q s100 c k c0xffffffff no rj mo https www youtube com user briantwill brian will https www youtube com user briantwill content about backend rendering theoretical classes featured playlists opengl the clojure language python playlists pigeon an educational programming language many more interesting playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz2erlqeohdjerc s7emhmceztpny r4jokmlez s88 c k c0x00ffffff no rj https www youtube com c beneater ben eater https www youtube com c beneater content about assembly language hardware computer sciences featured playlists building an 8 bit breadboard computer network tutorial digital electronics tutorials a lot of videos related back to the top contents machine learning find youtubers experienced in deep learning natural language processing neural network and many more topics related to this wide category a good thing about machine learning is that it can be applied using different programming languages and the core concepts meet the same structure for the different programming languages img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxzain1zclus2uinl fdjrzu vstvkepgtv6myrog s100 c k c0xffffffff no rj mo https www youtube com c abhishekthakurabhi abhishek thakur https www youtube com c abhishekthakurabhi content about practical videos talks featured playlists applied machine learning framework tips tricks of machine learning more videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzcgfow6dsovxxhtviklzfg4mjzi9tbjgzaunqc s100 c k c0xffffffff no rj mo https www youtube com c ahladkumar ahlad kumar https www youtube com c ahladkumar content about deep learning theoretical featured playlists deep learning convolutional neural network neural networks playlists many more playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzv0odi3kcpmnihqtht9ajosezpnuxqxiv7mgpp3w s100 c k c0xffffffff no rj mo https www youtube com c aladdinpersson aladdin persson https www youtube com c aladdinpersson content about pytorch tensorflow featured playlists pytorch tutorials tensorflow 2 0 beginner tutorials machine learning algorithms img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx7amajt6o275irs pv rh p73dm1b3c43ih0ltssw s88 c k c0x00ffffff no rj https www youtube com c andreasmueller andreas mueller https www youtube com c andreasmueller content about machine learning featured playlists applied machine learning 2020 br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyrlw0hmrqvguhdv1klpilanftykn20b6nr0xac s100 c k c0xffffffff no rj mo https www youtube com c dataschool data school https www youtube com c dataschool content about python machine learning theoretical featured playlists introduction to machine learning playlists data analysis in python with pandas other talks videos and python videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzo7kjsstoapwqwliadmuolofvbwteyton3geiv s100 c k c0xffffffff no rj mo https www youtube com channel uchb9vepy6kyvzjj0bgxnpbw henry ai labs https www youtube com channel uchb9vepy6kyvzjj0bgxnpbw content about theoretical featured playlists deep learning paper summaries reinforcement learning generative adversarial networks neural network design img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwl2efqjipkap7pimxc84nzh9s10akurmrcbpa ca s100 c k c0xffffffff no rj mo https www youtube com user howardjeremyp jeremy howard https www youtube com user howardjeremyp content about deep learning theoretical featured playlists deep learning from the foundations introduction to machine learning for coders practical deep learning for coders 2018 2019 2020 img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzglvuqksklv4uy8i9ugnqnd70iglov2go6ak0v s100 c k c0xffffffff no rj mo https www youtube com c rasahq rasa https www youtube com c rasahq content about rasa ai nlp featured playlists nlp for developers developing contextual ai assistants with rasa tools algorithm whiteboard live coding img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz3i qqexkrrmt018ffmorwmkwxb2mephetir28bvc s100 c k c0xffffffff no rj mo https www youtube com c yannickilcher yannic kilcher https www youtube com c yannickilcher content about nlp machine learning deep learning theoretical featured playlists natural language processing general machine learning deep learning architectures computer vision applications of machine learning more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz6fhhmirncse 4armtscsggskywefkuowryzpi s88 c k c0x00ffffff no rj https www youtube com channel ucxzcjldbc09xxgz6gcdrc6a openai https www youtube com channel ucxzcjldbc09xxgz6gcdrc6a content about nlp machine learning ai featured playlists events and talks research releases robotics br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwngq4bmzyvpj1n0eh27rl67yaooydc8tpelcpa 4tw s88 c k c0x00ffffff no rj https www youtube com c k c3 a1rolyzsolnai two minute papers https www youtube com c k c3 a1rolyzsolnai content about machine learning and ai research scientific papers featured playlists two minute papers alphago fluid cloth and hair simulations ai and deep learning light transport ray tracing and global illumination img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolql78 pfqwa4q145ukmqg4sorkv0f46gh9zq4mxng s88 c k c0x00ffffff no rj https www youtube com c machinelearnia mark saroufim https www youtube com user marksaroufim content about machine learning engineering practical videos books review featured playlists machine learning systems graph neural networks more videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajygbw5 njrjv11goqyexvhiaolvu3rpoeroem9z0q s100 c k c0xffffffff no rj mo https www youtube com c sentdex sentdex https www youtube com c sentdex content about python for ai and finance featured playlists python programming for finance machine learning with python neural networks from scratch in python back to the top contents devops devops is combination of software dev elopment and it op eration s this section list down few youtubers who makes learn devops topic easy the topics may include docker kubernetes system design kafka ansible cassandra zookeeper hadoop cloud aws gcp azure etc img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com kxyr8aa32kxnzwvdkafuyk5utm752ksjphgtyij4ev6bmdfhi dl1efbi3togmhbjszwc7m2 s88 c k c0x00ffffff no rj https www youtube com c techworldwithnana techworld with nana https www youtube com c techworldwithnana content about gitops continuous integration continuous delivery iac kubernetes docker featured playlists devops concepts explained infrastructure as code iac tutorials devops bootcamp img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com 9sw41kofyrwnkpm4xf3fqrhvoqf4bs4dxz 5lbdndjuugfjejyvzefs6zzgoyyrfq9cadhfe6 u s88 c k c0x00ffffff no rj https www youtube com c kodekloud kodekloud https www youtube com c kodekloud content about kubernetes docker terraform featured playlists devops pre requisites docker for the absolute beginners kubernetes for the absolute beginners img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu9k7jrgbkljdwha4m3mhbr0ja9bpdx hey9rlztbq s88 c k c0x00ffffff no rj https www youtube com c devopsjourney devops journey https www youtube com c devopsjourney content about devops docker kubernetes ansible featured playlists complete docker course complete ansible course complete vagrant course br img align left height 94px width 94px alt channel s avatar src https yt3 googleusercontent com xtf4aogqjnmgp9066myo6dbyy ycomva9valy0c txgfeyrihyxyzje4epdwcgzp6agchlkiq s176 c k c0x00ffffff no rj https www youtube com c devopstoolkit devops toolkit https www youtube com c devopstoolkit content about gitops docker kubernetes rancher aws featured playlists kubernetes ci cd this vs that br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu9rmxhpgox91c3oapvimrmahrpdevzrijuetabuaw s88 c k c0x00ffffff no rj https www youtube com c wenkatn justmeandopensource just me and opensource https www youtube com c wenkatn justmeandopensource content about kubernetes aws google cloud platform docker linux containers jenkins databases mysql mongodb postgres elasticsearch stack red hat devops featured playlists kubernetes provisioning learn aws google cloud platform for beginners img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu8snsvp86prqr k2mw4ubplbd6n7aoib u5eegrrg s88 c k c0x00ffffff no rj https www youtube com c techprimers tech primers https www youtube com c techprimers content about devops cloud architecture tips tricks featured playlists system design primer aws primer google cloud primer sprint cloud primer br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu8snxbjjvloizfdmu39h2i o1vujz1qrwd28vmdea s88 c k c0x00ffffff no rj https www youtube com c defogtech defog tech https www youtube com c defogtech content about java concurrency distributed systems system design microservice etc featured playlists microservices distributed systems br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu 7nhrxtuezfzepfh4lkxxqip9hoby3wl0szhzw6g s88 c k c0x00ffffff no rj https www youtube com channel uc3rka4vunfafrfxijhpeplw codeopinion https www youtube com channel uc3rka4vunfafrfxijhpeplw content about software architecture design messaging cqrs event sourcing and http apis featured playlists architecture software design br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com gw8d7hshoaffiuyipofg rolqvh4xsi 2x34u7brc5gu0zl83ikdwcntgh6bxvs9ljwsjlpq s800 c k c0xffffffff no rj mo https www youtube com antonputra anton putra https www youtube com antonputra content about high quality devops tutorials featured playlists terraform tutorial for beginners prometheus thanos tutorials amazon eks 100 seconds of code br back to the top contents game development this is a wide topic in this section you can find youtubers who teach about game development programs unity unreal engine etc core concepts in different programming languages javascript html5 java and art design creation 3d modelling and much more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx6trb2utlfrurc1y8izsvdh5kgi1kyybdztwigiq s100 c k c0xffffffff no rj mo https www youtube com c thecharmefis dani krossing https www youtube com c thecharmefis content about unity c featured playlists create a 2d game in unity unity for beginners learn unity basics c tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxhxu1klwm0zlorveho0okvoj7ygndylnazyktxdg s100 c k c0xffffffff no rj mo https www youtube com c scripterswar scripterswar https www youtube com c scripterswar content about javascript html5 featured playlists how to make html5 games javascript tutorial for beginners js guide a lot more videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwlfhgie ucnj3f3kwljujwxwgayu lditrt56gzq s100 c k c0xffffffff no rj mo https www youtube com c brackeys brackeys https www youtube com c brackeys content about unity c game design featured playlists how to make a 2d platformer unity course making a multiplayer fps in unity how to program in c beginner course unity 2d tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxjaetfc1m yaepgshasxcojzmv3vbpcodojtjlug s88 c k c0x00ffffff no rj https www youtube com c jonastyroller jonas tyroller https www youtube com c jonastyroller content about gamemaker studio tips and planning playlists featured playlists will you snail full development game dev tips how to get started with game development img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyttysk0c9m6apiufruiygrbvtoa1aause95o6zjq s100 c k c0xffffffff no rj mo https www youtube com c realtutsgml realtutsgml https www youtube com c realtutsgml content about java gamemaker studio featured playlists java basic programming cool game maker tutorials beginner java game development java platform game programming img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzlvhrxv3qfncv7qu9lx7x92xucnnu8p4pqmd2yxa s100 c k c0xffffffff no rj mo https www youtube com channel ucx4mqbvv5lgqlpi4fyljt4w mark rise https www youtube com channel ucx4mqbvv5lgqlpi4fyljt4w content about game design animation featured playlists geometric design playlists video game character animation course after effects animation tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajy9bmxs6 teuquexnhpwdzt c td6yef1tbin8lww s100 c k c0xffffffff no rj mo https www youtube com c chriscourses chris courses https www youtube com c chriscourses content about html5 canvas javascript featured playlists html5 canvas tutorials for beginners become a canvas pro other javascript related videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxr b j2jafqfawagi62rfhmcfvvt6rqoceeopqew s100 c k c0xffffffff no rj mo https www youtube com c zenva zenva https www youtube com c zenva content about unity unreal engine godot featured playlists master unity game development unreal game development mini degree godot game development mini degree a very lot more playlists about game development and design img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx1f7o5nvi5mibdn5i3sio x 3nxdmnb nck4uz s288 c k c0xffffffff no rj mo https www youtube com c mixandjam mix and jam https www youtube com c mixandjam content about unity featured playlists mix and jam recreations game jams re mix and jam br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx2zjxrjenr6vu0xqnqhvrqitqoksfibgtewoen8g s100 c k c0xffffffff no rj mo https www youtube com c dafluffypotato dafluffypotato https www youtube com c dafluffypotato content about pygame featured playlists pygame tutorial series beginner pygame tutorial series amateur pygame tutorial series advanced more pygame videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajw7ckfieb4cbxqrtswz361obftwju6wv91zxbvf s100 c k c0xffffffff no rj mo https www youtube com c chilitomatonoodle chilitomatonoodle https www youtube com c chilitomatonoodle content about c dirextx 3d featured playlists beginner c game programming intermediate c game programming advanced c game programming 3d programming fundamentals c 3d dirextx programming img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzm kdenquvh khga1s7f7xe2d dywielsjsm7pyc8 s88 c k c0x00ffffff no rj https www youtube com channel ucxbow7x0jzqfdvmdcfktmsq gdquest https www youtube com channel ucxbow7x0jzqfdvmdcfktmsq content about godot featured playlists godot 3 tutorials 3d maze game in godot make your first 2d game with godot godot beginner game creation tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzoijrlshuzqc2eyooty76mx1jornt ve26bgfctg s88 c k c0x00ffffff no rj https www youtube com user uheartbeast heartbeast https www youtube com user uheartbeast content about godot 2d gamemaker featured playlists godot engine tutorials resource based inventory tutorial in godot 2d hack n slash course complete course gamemaker platform tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajy1coscvh3 buoljtyvgxh7jpes73tnanrpbxhz s88 c k c0x00ffffff no rj https www youtube com c methmethmethod meth meth method https www youtube com c methmethmethod content about javascript featured playlists super mario bros in javascript creating a tetris online multiplayer in javascript img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnhzsbts9v7ejj7f8umaqqn8t0msq5ksyc5pq9twaq s88 c k c0x00ffffff no rj https www youtube com c clearcode clear code https www youtube com c clearcode content about python featured playlists pygame fundamentals creating pong in pygame learning pygame by making flappy bird google dinosaur runner in godot img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedoltgj8uilexqstjyxutzelm9d4xnfrdolrzchkcf s176 c k c0x00ffffff no rj https www youtube com channel ucs2smvwjngurzd6hvwmlwwq the devking https www youtube com channel ucs2smvwjngurzd6hvwmlwwq content about game development robolox scripting featured playlists robolox scripting br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwnc9ateyvr8mf vz3k1haumzpxjxz rp2lzl6jvg s100 c k c0xffffffff no rj mo https www youtube com user thechernoproject the cherno https www youtube com user thechernoproject content about c game development featured playlists game engine c opengl 3d game programming in java br back to the top contents mobile development nowadays we can t imagine our lives without our smartphones and the people who enable the smartphone experience are mobile app developers in this section you can learn how to build mobile applications from scratch that face consumers learn how to follow industry best practices learn kotlin or swift for native development in android ios or learn technologies such as react native and flutter for cross platform mobile development img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com mhup7lzhh c9b55z0edx65ren9ijmtf2ju7vmger9ltoora nnxtvzdtn vjmtvw6 y97z0y s176 c k c0x00ffffff no rj https www youtube com c philipplackner philipp lackner https www youtube com c philipplackner content about android kotlin jetpack compose featured playlists android fundamentals for beginners kotlin newbie to pro jetpack compose br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx f6re flskmstro3t2tq s nal9j2k6niahop s100 c k c0xffffffff no rj mo https www youtube com c simplifiedcodingnetofficial simplified coding https www youtube com c simplifiedcodingnetofficial content about android backend featured playlists php mysql and firebase videos kotlin programming tutorial more videos and playlists back to the top contents cybersecurity security is something we all should care about learn how you can protect yourself from attackers or malicious software learn also how the hacks are made to know deeply what is going on inside them with the ethical hacking tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxxebqslbr0gm vrna6q7alt4cza kfu1fkwdgr s100 c k c0xffffffff no rj mo https www youtube com c davidbombal david bombal https www youtube com c davidbombal content about ethical hacking linux featured playlists ccna exam 200 125 100 105 and 200 105 cisco playlists sdn videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwngqe82ab9iyw0opvnvk9c5p8s5amy4j8vnngc0lng s88 c k c0x00ffffff no rj https www youtube com c andreaskling andreas kling https www youtube com c andreaskling content about hacking featured playlists browser hacking devtools hacking os hacking serenityos emulator hacking img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajznrz0r2uonweprlm mu3cqjlu2suvg2vsev7jtgw s100 c k c0xffffffff no rj mo https www youtube com channel uckefxktinz9plsogrtml2fq professor messer https www youtube com channel uckefxktinz9plsogrtml2fq content about security featured playlists comptia security sy0 501 training course comptia n10 007 network study groups and many more like this img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxxwg mkbgiy5qofcp d9 7j1imehz xhnbbtua s100 c k c0xffffffff no rj mo https www youtube com c codecommand codecommand https www youtube com c codecommand content about ethical hacking security featured playlists cyber security penetration testing course offensive security kali linux tutorials pentesting methods img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajx0i11hlzack0xkty0lf5w7na4ao 0pxvjc8zkihg s100 c k c0xffffffff no rj mo https www youtube com c liveoverflow liveoverflow https www youtube com c liveoverflow content about ethical hacking featured playlists browser exploitation hardware security research mobile binary exploitation img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwx8qulbr3ikigsk 1tee5i6alrlhvxfdien2ni s100 c k c0xffffffff no rj mo https www youtube com channel ucgtnupxatbfwmfehv21ym g nullbyte https www youtube com channel ucgtnupxatbfwmfehv21ym g content about networking and security tutorials on pentesting tools ethical hacking featured playlists using wireshark nodemcu raspberrypi cyber weapons lab br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzj5anzmrjc0ggt4bikosdq8pwsukrfg04 kyo zq s100 c k c0xffffffff no rj mo https www youtube com channel uc0ztpkdxlakf v33tqxwi3q hackersploit https www youtube com channel uc0ztpkdxlakf v33tqxwi3q content about pentesting ethical hacking linux featured playlists metasploit linux nmap osint br img align left height 94px width 94px alt channel avatar src https yt3 ggpht com ytc aauvwnhe2dbmnpi3pt2mduxnimhx4yx37bhq3w01wvnev4c s288 c k c0xffffffff no rj mo https www youtube com c geraldauger gerald auger https www youtube com c geraldauger content about cyber security featured playlists breaking into cybersecurity videos simply cyber cybersecurity job hunting qa with recruiters free pentester list companion img align left height 94px width 94px alt channel avatar src https yt3 ggpht com ytc aauvwnh6qhldrpfo9nf 2tfy0fiaqnjlxiv48odlqaslqa s288 c k c0xffffffff no rj mo https www youtube com c networkchuck network chuck https www youtube com c networkchuck content about networking cyber security ethical hacking featured playlists linux networkchuck free security sy0 601 complete course thisisit 2020 free ccna 200 301 complete course networkchuck 2020 img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolskaxhsjjvcucr6zgs4afabu qy oy5z1kblvgh0q s88 c k c0x00ffffff no rj https www youtube com c johnhammond010 john hammond https www youtube com c johnhammond010 content about cyber security ethical hacking malware analysis featured playlists malware analysis tryhackme forensics br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolq4ngtlpfyu izpalts mp b1v5ml lttlqvf ua s88 c k c0x00ffffff no rj https www youtube com c sunknudsen sun knudsen https www youtube com c sunknudsen content about privacy guides bitcoin featured playlists privacy guides bitcoin series br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com lwhqzyutm3v0obb revofbd chl7awufyid iv8trv6 4u4r7go t4qfjplyijnqvc 14tb8 s176 c k c0x00ffffff no rj https www youtube com c techlore techlore https www youtube com c techlore content about privacy and security tutorials and reviews featured playlists go incognito a guide to security privacy anonymity br back to the top contents internet networking internet connection and networking is a wide topic and it s common to get stuck while learning about this get awesome playlists and videos about both software and hardware to know how does the internet connection and networking works how to properly set a modem router and what are the ips dns and more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzsyaptpcwy0brmutwx zosf5glayjey9l3dvyeka s88 c k c0x00ffffff no rj https www youtube com c netvnbuitronghieu net vn https www youtube com c netvnbuitronghieu content about internet networking command line hardware featured playlists a lot of router modem playlists software management of internet connection and network videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajylz561k6cuoujxhprbmgk lwd6wwelo6ywm2bw s100 c k c0xffffffff no rj mo https www youtube com channel uctuxekfqj paqsxtqvncc2a network direction https www youtube com channel uctuxekfqj paqsxtqvncc2a content about networking featured playlists network direction network fundamentals firewall and lan videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxq3frhadkbhwzuqg1idgixpjbsmtpwpwej5yh4jg s100 c k c0xffffffff no rj mo https www youtube com c networkinginc networking https www youtube com c networkinginc content about networking ccna featured playlists full series 200 301 ccna free cisco video training 2020 networking inc other networking videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz94lpjiskw20p0 6tlso4oz0z bqkhmihbozyf2w s100 c k c0xffffffff no rj mo https www youtube com c powercertanimatedvideos powercert animated videos https www youtube com c powercertanimatedvideos content about networking hardware with other concepts with helpful the visuals there is also a crash course on a and net featured playlists information technology comptia certification img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajy96dtzpu2ejwh5exusn6 ru4wz1c4xfts8gbcwya s176 c k c0x00ffffff no rj https www youtube com c allaboutelectronics all about electronics https www youtube com c allaboutelectronics content about electronics and communication featured playlists bjt analog electronics network analysis br back to the top contents software in general youtubers listed in this category may not be programming tutorials or cool design cards but some other useful software and applications are used every day for everyone master that suite you use a lot or learn more about specific services a company provides you with img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyi ljuct0pppnpydlfw4ktcpmbf73m3hwv0yxh s88 c k c0x00ffffff no rj https www youtube com c learngooglespreadsheets learn google spreadsheets https www youtube com c learngooglespreadsheets content about google spreadsheets featured playlists google sheets fundamental skills google apps scripts fundamental br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzkit0dhdvc7fp 6hrlb wcldg9gezohc edaiyqw s100 c k c0xffffffff no rj mo https www youtube com c onlinetrainingforeveryone online training for everyone https www youtube com c onlinetrainingforeveryone content about excel office suite featured playlists excel 2020 tutorials advanced excel tutorials microsoft visio tutorials windows 10 tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwy3modhfjghtdk25cpztqz8npg8gfllfgwjeqvwa s100 c k c0xffffffff no rj mo https www youtube com c simonsezit simon sez it https www youtube com c simonsezit content about office suite microsoft featured playlists excel playlists quickbooks playlists power bi tutorials microsoft outlook 2019 more videos about microsoft programs img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwdmz sqfl3noecezetnzo7lxo2ssfgahloy7dgkg s100 c k c0xffffffff no rj mo https www youtube com c tomscottgo tom scott https www youtube com c tomscottgo content about theoretical videos featured playlists how to build an app the basics code other science videos br back to the top contents conferences this section is about all the amazing tech conferences and the talks that they put online img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajytmpnop1rj8byygvdwxbs4er2kruumbt0uddacia s100 c k c0xffffffff no rj mo https www youtube com c codingtech coding tech https www youtube com c codingtech content about all programming talks featured playlists frontend development videos backend development videos theoretical videos a lot more tech topics playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjvqptvos9ibdf r5epiwbxaunyohlg8l7yy9wevrw s88 c k c0x00ffffff no rj https www youtube com devoxxforever devoxx https www youtube com devoxxforever content about devoxx is a series of tech events organised by local community groups featured playlists devoxx uk devoxx belgium devoxx poland devoxx france br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjxtvgnqrncuwb6pp6x6mcxilphi2bnfwtdeezxs7q s88 c k c0x00ffffff no rj https www youtube com ddd eu domain driven design europe https www youtube com ddd eu content about conference for senior software developers and architects interested in software design featured playlists ddd foundations eventsourcing img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com qgtwm66buh2stkgd jtl5dmoizxndhkpmo cyp3ybeeuwdymehvjrulsl1wiolz rm1mnhg6va s88 c k c0x00ffffff no rj https www youtube com goto goto conferences https www youtube com goto content about brightest minds sharing their knowledge to create a better future featured playlists sustainable software software architecture recommendations greatest hits and many more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjwlfdzoljp2yskh3wo742dvmpo okh agdkrvlrw s88 c k c0x00ffffff no rj https www youtube com infoq infoq https www youtube com infoq content about innovator and early adopter stage techniques and technologies with the wider industry featured playlists infoq trend reports culture methods devops emerging languages and development trends img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjxuxpa0lil sd7rdas7sqev ryd8r5czanub1g2vq s88 c k c0x00ffffff no rj https www youtube com ndc ndc conferences https www youtube com ndc content about net agile development evolved to encompass all technologies relevant to software developers featured playlists ndc sydney ndc oslo ndc london ndc minnesota ndc melbourne ndc copenhagen devops security img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjvbkzf43doqpycmy4jihnxcjmn33xnmuyemtpqo s88 c k c0x00ffffff no rj https www youtube com nljug1 nljug https www youtube com nljug1 content about all things related to java from the dutch java user group featured playlists j fall j spring br back to the top contents operating systems includes videos and tutorials for the correct management and understanding of windows linux mac and other operating systems learn about useful commands and settings to keep your os up to date and secure understand how do these systems work in deep to allow you to control them using the best methods img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyzxrrfkivxobj 1 ot6nwbb 8hzmoinqgjqjrexq s100 c k c0xffffffff no rj mo https www youtube com c ribalinux riba linux https www youtube com c ribalinux content about linux featured playlists install and overview linux how to br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajy8ofbuw6tsodly7bv6kk 97atclwdgbh pypw8dw s100 c k c0xffffffff no rj mo https www youtube com c msftwebcast msft webcast https www youtube com c msftwebcast content about windows featured playlists windows server beginners tutorials managing networking services in windows server managing active directory infrastructure img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com 3atir8 i48hnwxzkbacke niyg1zmih2bfv oqqotxqu3euryh64skf2yitmj41y1p5ipydalq s88 c k c0x00ffffff no rj https www youtube com c distrotube distrotube https www youtube com c distrotube content about linux emacs cli privacy in general featured playlists privacy security the church of emacs the command line the arch way br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolsfaddrzepombopzqak6ee7uzqxp8ynakogeagkia s176 c k c0x00ffffff no rj https www youtube com channel ucxqkhvkbmszgmvurvtjynua learn linuxtv https www youtube com channel ucxqkhvkbmszgmvurvtjynua content about linux tutorials distribution reviews linux guides featured playlists hardware reviews linux essentials linux commands for beginners br back to the top contents digital design web design tutorials are listed in the web development section web development but of course the digital design is incredibly big including nice pictures and draw representations about a famous person or attractive promotional videos get the knowledge about how to do these things and be a professional with design programs img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxyzlmmiocmlfds5bkcfvjdnb5z 6livtxolvys s100 c k c0xffffffff no rj mo https www youtube com c howtographicdesign how to graphic design https www youtube com c howtographicdesign content about adobe illustrator illustrations featured playlists adobe illustrator cc flat illustration tutorials logo creation tutorials playlist adobe illustrator cc for beginners more adobe illustrator playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz0yglaogfkcou7ygr 8buj0q4c2wldkccozlt49w s100 c k c0xffffffff no rj mo https www youtube com c armaganvideos armaganvideos https www youtube com c armaganvideos content about adobe illustrator illustrations flat design featured playlists tutorials illustrator tutorials after effects tutorials flat design br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzlxt8h3xar4atb9gpinuagid4xnpkk8sk1n7bg s100 c k c0xffffffff no rj mo https www youtube com c tttutorials t t tutorials https www youtube com c tttutorials content about adobe illustrator adobe photoshop hand drawing featured playlists adobe illustrator tutorials character illustration illustrator tutorials adobe illustrator tools tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajygq4pq 23oezs2mzblitd4i8yhbve7nsnvcnsfag s100 c k c0xffffffff no rj mo https www youtube com c pixelandbracket pixel bracket https www youtube com c pixelandbracket content about adobe illustrator adobe photoshop featured playlists illustrator tutorials photoshop tutorials other design videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxzgbkzh 4rbyswkesnjk9loxd0ycfufc eex5cla s100 c k c0xffffffff no rj mo https www youtube com c zakeydesignow zakey design https www youtube com c zakeydesignow content about gimp inkscape adobe illustrator featured playlists gimp photo manipulation inkscape playlist adobe illustrator videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwztu 31qu jjkhnkva2ingia138god3cbb9mb3ka s100 c k c0xffffffff no rj mo https www youtube com c artwithflo art with flo https www youtube com c artwithflo content about procreate ipad tablet drawing featured playlists procreate tutorials digital art tutorials digital drawing on ipad pro easy drawing tutorials more playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajydkjixjd19amsfls8olctimwplipojomejzeutrq s100 c k c0xffffffff no rj mo https www youtube com c tutsplus envato tuts https www youtube com c tutsplus content about all design illustrations web design featured playlists learn adobe photoshop learn about fonts photo and video manipulation playlists figma videos learn photo effects img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwl3fupfqnmh4rj7tnsjufqpn0gnvsrgrlwxmqxnw s100 c k c0xffffffff no rj mo https www youtube com c logosbynick logos by nick https www youtube com c logosbynick content about inkscape gimp featured playlists inkscape beginner tutorials gimp tutorials inkscape typeface tutorials inkscape logo design tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnjnobbn8dcrvqmbgn4otszvtnb kdu41gjwsty s88 c k c0x00ffffff no rj https www youtube com c mohamedachraf mohamed achraf https www youtube com c mohamedachraf content about adobe illustrator featured playlists the logo design process adobe illustrator tips tricks character designs illustrator speedarts img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedolsw8zg2rfiep7blodcwme3lnfnrb4yia3iviynleg s176 c k c0x00ffffff no rj https www youtube com channel ucscrswdx0t31gjk3myxiuyq charli marie tv https www youtube com channel ucscrswdx0t31gjk3myxiuyq content about web graphic design featured playlists design careers workflow design chat freelancing as a designer br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc akedoltk233ipuryyjd vs9j602btjv7rle0iayvrjre s176 c k c0x00ffffff no rj https www youtube com c yesimadesigner yes i m a designer https www youtube com c yesimadesigner content about design principles design tools tutorials featured playlists 365 days of creativity illustrator cc indesing tutorials photoshop cc br back to the top contents audio and video tutorials about audio and video making includes wide topics such as design animation rendering hardware and more using the most popular and the best software to create stunning video animations well produced songs and stuff related to these topics img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzawbdjvif6gjyutznsapf7eaqhxo ux 5vuxardq s100 c k c0xffffffff no rj mo https www youtube com c obedia obedia https www youtube com c obedia content about audio hardware featured playlists presonus studio one tutorials cubase tutorials ableton tutorials by obedia cakewalk sonar tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajycv557ukluo4022gp 8xfrgwbujoj0pnuhqwuhrw s100 c k c0xffffffff no rj mo https www youtube com c blackmixture black mixture https www youtube com c blackmixture content about after effects animation featured playlists speedpaint animation motion design after effects tutorials br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajw1ejau6c5 olxvdco91mnbsm0caflc7yavlbh67g s100 c k c0xffffffff no rj mo https www youtube com user avnishparker avnish parker https www youtube com user avnishparker content about animation design featured playlists after effects tutorials text animation after effects tutorials logo intro after effects tutorials motion graphics after effects tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyf22 pytt7lnxfjm ol0babt3qu8j7cphk0l2a s100 c k c0xffffffff no rj mo https www youtube com c denykingyoutube deny king https www youtube com c denykingyoutube content about video photos featured playlists video editing manipulation picsart many other video photo editing videos br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzr ep rwduxvhdqaeuin 4tpo3l1tdynngdgx s88 c k c0x00ffffff no rj https www youtube com user andrewpprice blender guru https www youtube com user andrewpprice content about blender 3d modeling featured playlists blender beginner tutorial series blender modeling chair tutorial couch tutorial series img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxm0k7wxddj0toqzp qqkvafeirxwsv8g2i8sdfva s88 c k c0x00ffffff no rj https www youtube com user badgesgabbitt grant abbitt https www youtube com user badgesgabbitt content about 3d modeling reptology blender featured playlists learn sculpting in blender 2 8 blender 2 8 for beginners full course br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxlxdptb7dfwyqpxipqwxgq0wwwya5gnwf72ru1 s88 c k c0x00ffffff no rj https www youtube com c cgfasttrack cg fast track https www youtube com c cgfasttrack content about blender 3d modeling featured playlists blender 2 9 beginner tutorial series cg fast track br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjus0b38g8qpjm h4pdd3wtryfusup0a3zqd a8ulw s88 c k c0x00ffffff no rj https www youtube com cggeek cg geek https www youtube com cggeek content about animation blender 3d modeling visual effects featured playlists blender beginner tutorial series bob ross with realistic 3d graphics blender nature tutorials star wars 3d tutorials img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnjrgm34pr7ndulgvdghjw8tqcbhpevb35cxlbbhfw s176 c k c0x00ffffff no rj hhttps www youtube com channel ucunhghbembkdflz1fgj0luq ducky 3d https www youtube com channel ucunhghbembkdflz1fgj0luq content about video photos featured playlists shading with nodes making looping animations with blender in eevee engine br back to the top contents hardware cpu s motherboards monitors keyboards mouses pc s laptops and all about hardware modems and routers can be also found here as well as the newest phones and other technological gadgets get recommendations and price quality comparisons about these products img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwcyezyvuvi4mejvhlngpmlswyzxmhtyvjgcwem s100 c k c0xffffffff no rj mo https www youtube com c teachingtech teaching tech https www youtube com c teachingtech content about printing featured playlists 3d printing for beginners 3d printing ender playlists onshape 3d modelling printer reviews playlists img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwqopnwqubfu y7o7gwaezgx8ovohsyuwfbijlr8g s100 c k c0xffffffff no rj mo https www youtube com c linustechtips linus tech tips https www youtube com c linustechtips content about all hardware featured playlists build guides buyer s guides and ultimate guides computer systems all in ones cpu motherboard memory videos many more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu fsclpo4kv3revbwvikhhokxodyfvl4fkpqutuyg s176 c k c0x00ffffff no rj https www youtube com c gamersnexus gamers nexus https www youtube com c gamersnexus content about all hardware featured playlists hardware news pc case reviews pre built gaming pc reviews many more br img align left height 94px width 94px alt channel s avatar src https yt3 googleusercontent com jwc97n97fccva6umcac xlkjo91rsspzawguirehf9p3o3ewl70jxhleusa1uwshcegth7yjxq s176 c k c0x00ffffff no rj https www youtube com c jayztwocents jayztwocents https www youtube com c jayztwocents content about all hardware featured playlists pc building gpu custom builds br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzullqz7x3u3nbdg8bul0ggakqh00s9sh87utuv q s100 c k c0xffffffff no rj mo https www youtube com c educ8s educ8s tv https www youtube com c educ8s content about arduino featured playlists arduino tutorials for beginners raspberry pi tutorials for beginners a lot more arduino tutorials projects videos img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajz9xehgd0aavfvvsxdhzqbaz84xtwiokpozarr3fg s88 c k c0x00ffffff no rj https www youtube com user greatscottlab greatscott https www youtube com user greatscottlab content about raspberry pi 3d printing electronics featured playlists 3d printing diy or buy build your own ambilight with the raspberry pi br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajzljaqx61gcwsab buzuugmii760apf7t93lzoo s88 c k c0x00ffffff no rj https www youtube com user raspberrypibeginners raspberrypiivbeginners https www youtube com user raspberrypibeginners content about raspberry pi featured playlists getting started with your raspberry pi br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajy17nmm3at2dvgvn8dmwurjf1eulcopqc ls517aq s176 c k c0x00ffffff no rj https www youtube com user explainingcomputers explainingcomputers https www youtube com user explainingcomputers content about raspberry pi electronics operation system featured playlists artificial intelligence pi zero projects migrating to linux many more br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu mysauugygylgd62nlvgazhgyfamstjh7d3ypimq s176 c k c0x00ffffff no rj https www youtube com c etaprime eta prime https www youtube com c etaprime content about raspberry pi electronics operation system single board computers gaming featured playlists single board computer reviews gaming on sbcs many more br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc al5grjxg0un1rlvqfnvehwvvtdq 1pxwsx3bocc9pa 1kq s88 c k c0x00ffffff no rj https www youtube com servethehomevideo servethehome https www youtube com servethehomevideo content about server hardware networking and other hardware for the professional featured playlists about servers fanless mini pc workstations current events storage server processors networking cool server hardware br img align left height 94px width 94px alt channel s avatar src https yt3 googleusercontent com 4tokbjkpsafwxy2xfr eqj7cuhplvza4eux6t2taf8eu25uh g9gbua9djqacrtjkiesnpjzww s176 c k c0x00ffffff no rj https www youtube com brancheducation branch education https www youtube com brancheducation content about all technological devices internal working featured playlists memory ssd microchips mouse pcb back to the top contents competitive programming most of the companies interview process involves coding challenges competitive programming is like a sports held over the internet where programmers will compete with each other the below list contains some of the channels you can follow to brush up your competitive programming skills img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu vxwufyxiyaed6g7no ja24sk4boqvqy3voa s176 c k c0x00ffffff no rj https www youtube com user tusharroy2525 tushar roy coding made simple https www youtube com user tusharroy2525 content about data structures and algorithms dynamic programming leetcode featured playlists dynamic programming graph algorithms binary tree br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu 4ybaeuqkqjogr ufzwkanliujj6ujshqqacbgmt0 s176 c k c0x00ffffff no rj https www youtube com c gauravsensei gaurav sen https www youtube com c gauravsensei content about system design data structures algorithms featured playlists system design competitive programming a z br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com efrvndjbjoq5xcxrrfha9v2wtxh6gp i0kycoyjqhn3neh6vbcgqmqakacfqesguw7wxhhejna s176 c k c0x00ffffff no rj https www youtube com c bytebytego bytebytego https www youtube com c bytebytego content about large scale system design featured playlists algorithms you should know for system design system design fundamentals system design interview img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu9duplkle6woebxccdc3im4ahmfcr9m4gjydkoz s176 c k c0x00ffffff no rj https www youtube com c csdojo cs dojo https www youtube com c csdojo content about data structures algorithms featured playlists data structures and algorithms coding interview questions and answers br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu mnykwkdro5uorkk8xmg gyb11n4pbij0bzlzw8q s176 c k c0x00ffffff no rj https www youtube com c backtobackswe back to back swe https www youtube com c backtobackswe content about leetcode software engineering interview featured playlists tree binary trees binary search tree sorting searching heaps dynamic programming recursion backtracking graphs greedy algorithms other br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc amlnzu8aa8br8qgcyjkshpnt5qcfreoez xttk3hqknpga s176 c k c0x00ffffff no rj https www youtube com c errichto errichto https www youtube com c errichto content about leetcode codeforces featured playlists codeforces problems leetcode coding interview problems br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com fqigbosnpewbnw20ulbow0jy88jdpqfo9a yrj0c2oc4lz8uohyj38pwskrjdc zqgnw9pgu s176 c k c0x00ffffff no rj https www youtube com c neetcode neetcode https www youtube com c neetcode content about leetcode coding interview featured playlists leetcode east leetcode medium leetcode hard br img align left height 94px width 94px alt channel s avatar src https yt3 googleusercontent com njz gcvb5zwl5z526 vwieet7vdkqwjzlxkqdehaxnowbzoaijzi7a5i0mvvlhjkt3tjk3oifg s176 c k c0x00ffffff no rj https www youtube com c kevinnaughtonjr kevin naughton jr https www youtube com c kevinnaughtonjr content about leetcode coding interview featured playlists technical interview questions br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com mwcizdnjjrk7mu5kv2v9enyakxvpn5en7uyx589c2bu1iizhhy4h1ih02jzj1cv8kcm8uy8g4oq s88 c k c0x00ffffff no rj https www youtube com c nickwhite nick white https www youtube com c nickwhite content about leetcode hackerrank coding interview featured playlists leetcode solution hackerrank solution br img align left height 94px width 94px alt channel s avatar src https yt3 googleusercontent com fsej0h2ok bj9ninpw53qsjwwnsubvj0uhvr5h ogahicjg6y7j0wuwwytfdbhuodujfci s176 c k c0x00ffffff no rj https www youtube com c priyanshagarwal priyansh agarwal https www youtube com c priyanshagarwal content about code chef codeforces featured playlists codeforces screencasts br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajxy8nw3fq5b3ekwwatlnhqejpan1twfusn4kvobug s100 c k c0xffffffff no rj mo https www youtube com c williamfiset videos williamfiset https www youtube com c williamfiset videos content about algoritms data structures featured playlists network flow playlist data structures playlist graph theory playlist tree algoritms dynamic programming img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajymf9d2kcpzhv3feewoucw xf2fzmyucababrhj s88 c k c0x00ffffff no rj https www youtube com channel ucxpgqisd3bd0fq9op3zifsw kodingkevin https www youtube com channel ucxpgqisd3bd0fq9op3zifsw content about data structures algorithms coding interview featured playlists array methods mini course javascript algorithms data structures br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com ytc aauvwnjnuaen s yphjat4w d r4ruhdezow5w0fyg47 s88 c k c0x00ffffff no rj https www youtube com channel ucmwdlvmyyebw42b8jyxfbca nullpointer exception https www youtube com channel ucmwdlvmyyebw42b8jyxfbca content about theoretical data featured playlists introduction to data structures sorting algorithm lectures visualizations introduction to object oriented programming back to the top contents life skills your professional side can be reinforced while watching these tutorials it s important to know how to manage you money and keep track of it as well as tips to get the job you want or start one by yourself find also coding design tech companies interview methods img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwe6tjwillls09rbm ag81b6psll87siu8ullavpw s100 c k c0xffffffff no rj mo https www youtube com c gcflearnfreeorgplus gcflearnfree org https www youtube com c gcflearnfreeorgplus content about job searching general skills life tips featured playlists searching for a job economic thinking playlists office suite tutorials making decisions life skills playlists and more img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com 3dhst2suifx5hbfwzixmdxrbudygx01b ie3wqbp2tbjgbpbwbf m5rltc rbweq4 2pqlv s88 c k c0x00ffffff no rj https www youtube com engineeringwithutsav engineering with utsav https www youtube com engineeringwithutsav content about career productivity software engineering life tips featured playlists finance start ups book reviews recommendations productivity technical interview preparation career success software engineering img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajyc qqt1fm gexdj7psvvdxek6k8g4zqjo6q0sxwg s100 c k c0xffffffff no rj mo https www youtube com c hellomayuko mayuko https www youtube com c hellomayuko content about job tips health featured playlists how to kickstart your software engineering career career t e c h health img align left height 94px width 94px alt jchannel s avatar src https yt3 ggpht com a aatxajzslfjqgnpqtvws4hxgxm6f21cdarol stiu9roxw s88 c k c0x00ffffff no rj https www youtube com user tychos1 joshua fluke https www youtube com user tychos1 content about interviews portfolio reviews getting a job featured playlists entrepreneurship how to apply to jobs br img align left height 94px width 94px alt channel s avatar src https yt3 ggpht com a aatxajwnvxhv9cr noftecxs3x2h2jrqjh3yeq8syqpm s176 c k c0x00ffffff no rj https www youtube com c jomaoppa joma tech https www youtube com c jomaoppa content about programming job offers salaries interviewing featured playlists path to software engineering tech shows startup series interviews data science analytics img align left height 94px width 94px alt channel s avatar src https yt3 googleusercontent com ayrajbqbs43ocd0fmbrm0f27kwqkcjh46pi8tpvigdn8iiy4oinldvvfnnyu4wmtjw2mbkq3 s176 c k c0x00ffffff no rj https youtube com channel uc5mnbodb73br88flxhsfzya eddie jaoude https youtube com channel uc5mnbodb73br88flxhsfzya content about open source freelancing featured playlists freelancing tips linkfree videos git must know commands br back to the top contents details summary credits summary sub note that this strong is not strong a promotional list of any kind sub br sub the list style is heavily inspired by a href https github com mhxion awesome discord communities awesome discord communities a created by a href https github com mhxion mhxion a this repository was my inspiration as i consider a href https github com josedefreitas awesome youtubers this list a also looks good with the same table style in this file br the awesome youtubers logo was made by a href https github com josedefreitas jos de freitas a br the a href logo svg awesome youtubers logo a is inspired by the a href https github com sindresorhus awesome blob main badges logo svg awesome logo a and the a href https github com sindresorhus awesome nodejs blob master badges logo svg awesome nodejs logo a the two play icons were created following the play button of the a href https lh3 googleusercontent com z6sl4j9zq88oukny0g3pamivwy8dzqlh ygyvbxv0zvnuz wqpn n7ear2by3dhoupx7ktpahjrpni1mhwkpabjbpnqdeshzsh4q youtube logo a it s just a representation i m not using the youtube logo itself sub details | awesome awesome-list list youtubers youtube | front_end |
Blockchain-programming-exercises | blockchain programming exercises this repository records my blockchain learning process and some codeing exercises this is not a professional tutorial on blockchain technique but if you are interested you may find something valuable here such as links to some quality tutorials my personal study notes some codeing exercises hope this repository is useful to you | blockchain |
|
are-you-fake-news | fake news detector in an era increasingly defined by the proliferation of misinformation and polarized politics it s important for internet users to have context for what s on their screen this microservice uses natural language processing and deep learning to analyze patterns of bias on any news website in real time each time a url is submitted dozens of the most recent articles are collected and analyzed for a variety of factors from political bias to journalistic accuracy microservice architecture wip each of the directories in the docker folder will contain the ingredients for a microservice these services work together to form the app microservices in this app are comprised of serveral elements which make for a stable and well defined function unit of code docker example microservice readme md high level overview purpose explain functionality connections what services does this connect to how and why api definition outline service agreement protocol unit tests formally test the api definition dockerfile lightweight officially supported image specified version numbers of libraries source code design efficient flexible lightweight quality organized commented formatted front end services these microservices comprise the production website for serving predicitons to the user control flow this is the controller of logic for the production website it directs the backend execution of web requests initiated by user activity web the web interface uses flask gninx gunicorn to host the dynamic and static pages web scraper several small functions for gathering text and metadata from news sites includes a domain spiderer to inventory article urls on a site and map reduce scraper pattern for asyncronous web scraping of the article urls plotter matplotlib and code for generating plots given prediction data predict lightweight tensorflow keras nlp container for generating predictions from text data persistence mongo contains a mongodb image with a few custom queries serves as the central source of state on the site model training these services are used to collect data from labelled sources for training the convolutional neural net the resulting model files are then used in the production site gather data downloads articles from websites into a common format articles are stored in mongodb train trains model using collected data and generates neural network weights word vectors site background data collection opensources http www opensources co maintains a downloadable database of news sites with tags related to journalistic accuracy media bias fact check https mediabiasfactcheck com maintains an online directory of news sites categorized by the political bias and accuracy using a customized fork of the excellent newspaper https github com codelucas newspaper library this project spiders 3000 labelled websites for new articles to and stores them by their bias tag in mongodb article texts are minmally preprocessed with unicode cleaning modeling using the collected data a tfidf vector is fitted on the article collection a custom built convolutional neural network is trained in a multi label classification scheme using a binary crossentropy loss fucntion with a sigmoid output layer th model is deployed to aws lambda deployment the website is published via flask after a user enters a news site url the webserver scans the site for the most 150 recent articles and gathers their urls asynchronously the text in each url is downloaded using aws lambda the article text is then sent to another aws lambda function with the trained neural network model results are plotted via matplotlib and rendered in the webpage deeper for a much more detailed discussion of the project please see this living presentation on google slides https docs google com presentation d 1wwntx0hkb2mjxgpbhbazelqncpkh4uficfnrzsxqg2g edit usp sharing open source this is gnu gpl licensed so anyone can use it as long as it remains open source anyone who is interested in contributing is welcome to head over to the data for democracy repo where issues are being tracked https github com data4democracy are you fake news contact aracel io | journalism tensorflow media bias lambda fake-news fake-news-classification keras | front_end |
alps-wordpress | alps wordpress theme setup https img shields io badge required php version 8 1 23 green https img shields io badge required wp version 6 1 1 blue theme installation via wordpress admin panel 1 in your wordpress admin panel navigate to appearance themes 2 click add new 3 click upload theme 4 upload the zip file that you downloaded theme settings set front and posts page 1 in your wordpress admin panel navigate to settings reading 2 set front page displays to a static page 3 select a page from each dropdown 4 save changes set page template 1 in your wordpress admin panel navigate to pages 2 edit page 3 in the sidebar navigate to page attributes 4 select template from the dropdown default template default template for all pages posts template landing page of posts in the category news https alps adventist io v3 p pages news deprecated https adventistchurch github io alps path story templates news no aside new add widgets to sidebar 1 in your wordpress admin panel navigate to appearance widgets 2 drag widget to widget area page top a region at the top of a page content type page bottom a region at the bottom of a page content type page sidebar a region at the side of a page content type post sidebar a region at the side of a post content type post footer region a region at the bottom of a post content type footer region a region at the bottom of any content type add menus 1 in your wordpress admin panel navigate to appearance menus 2 create a menu 3 add links 4 go to manage locations tab 5 select location for the menu to appear primary navigation the main navigation for the page secondary navigation appears above the main navigation secondary footer navigation appears above the main footer navigation primary footer navigation the main footer navigation at the bottom of the page tertiary navigation appears below the page header on the news template alps wordpress theme development alps is developed using sage from roots io sage https roots io sage sage is a wordpress starter theme with a modern development workflow features sass for stylesheets modern javascript webpack https webpack github io for compiling assets optimizing images and concatenating and minifying files browsersync http www browsersync io for synchronized browser testing blade https laravel com docs 5 5 blade as a templating engine controller https github com soberwp controller for passing data to blade templates css framework optional bootstrap 4 https getbootstrap com bulma https bulma io foundation https foundation zurb com tachyons http tachyons io see a working example at roots example project com https roots example project com requirements make sure all dependencies have been installed before moving on wordpress https wordpress org 6 1 php https secure php net manual en install php 8 1 with php mbstring https secure php net manual en book mbstring php enabled composer https getcomposer org download node js http nodejs org 18 x theme structure shell themes your theme name root of your sage based theme app theme php carbon fields carbon fields plugin for theme settings core utils functionality for theme support local folder for storing styles on your local env alps folder with generated css and js files source folder with source css and js files after generation of this folder files will store in the alps folder providers service providers view view models filters php theme filters setup php theme setup devtools build release scripts for release theme composer json autoloading for app files public built theme assets never edit functions php theme bootloader index php theme template wrapper node modules node js packages never edit package json node js dependencies and scripts resources theme assets and templates fonts theme fonts images theme images scripts theme javascript styles theme stylesheets views theme templates components component templates forms form templates layouts base templates partials partial templates screenshot png theme screenshot for wp admin style css theme meta information vendor composer packages never edit bud config js bud configuration theme setup edit app setup php to enable or disable theme features setup navigation menus post thumbnail sizes and sidebars theme development run npm from the theme directory to install dependencies update resources assets config json settings devurl should reflect your local development hostname publicpath should reflect your wordpress folder structure wp content themes sage for non bedrock https roots io bedrock installs localization theme uses wordpress recommended way to localize with po files localization template located in lang alps pot to add new language special software should be used ex poedit https poedit net to perform scan of new localizable strings in source files run npm run i18n create pot wpml plugin https wpml org recommended for the multilingual websites theme provides autogenerated file lang alps php to help wpml scan the strings for translation translators the translation in alps for wordpress was done thanks to the following individuals spanish german russian marian maximciuc https github com marianmaximciuc build commands npm run dev compile assets when file changes are made start browsersync session npm run build compile and optimize the files in your assets directory deprecated npm run build production compile assets for production documentation sage documentation https docs roots io sage 10 x installation controller documentation https github com soberwp controller usage contributing contributions are welcome from everyone we have contributing guidelines https github com roots guidelines blob master contributing md to help you get started community keep track of development and community news participate on the roots discourse https discourse roots io follow rootswp on twitter https twitter com rootswp read and subscribe to the roots blog https roots io blog subscribe to the roots newsletter https roots io subscribe listen to the roots radio podcast https roots io podcast troubleshooting cache error vendor illuminate view engines phpengine php on line 43 fix by changing the folder permissions of wp content and uploads to 777 add secondary nav icons in appearance menus select screen options in the top right hand corner of your screen check title attribute add menu items to nav that has the display location set to secondary naviation expand the menu item settings and add a title attribute with one of the following contact legal language find a church sitemap important you must use the title attributes above or you will get an error they are case sensitive | alps wordpress-theme alps-wordpress | os |
full-ack | full ack an emacs front end for ack build status https travis ci org nschum full ack png branch master https travis ci org nschum full ack ack is a tool like grep aimed at programmers with large trees of heterogeneous source code it is available at http betterthangrep com add the following to your emacs add to list load path path to full ack autoload ack same full ack nil t autoload ack full ack nil t autoload ack find same file full ack nil t autoload ack find file full ack nil t run ack to search for all files and ack same to search for files of the same type as the current buffer next error and previous error can be used to jump to the matches ack find file and ack find same file use ack to list the files in the current project it s a convenient though slow way of finding files | front_end |
|
freeRTOS_MPC5604b_port | freertos mpc5604b port porting of freertos to mpc5604b freertos version 10 0 1 reference port used mpc5746c trk mpc5604b is the platform used https www nxp com products no longer manufactured mpc5604b startertrak development kit trk mpc5604b ide codewarrior version 10 7 available only for windows os the latest version can be obtained in https www nxp com ide setup the following settings need to be enabled in codewarrior ide 1 select the project menu goto properties select c c build settings powerpc cpu compress for powerpc vle zen 2 select the project menu goto properties select c c build settings powerpc compiler processor translate ppc asm to vle asm zen compress for powerpc vle zen makes sure code is placed in text vle section instead of text section in the elf binary how to start 1 clone the repository 2 open codewarrior goto file menu select import option in the pop up window under general menu select existing projects into workspace provide the path the clone repository select the check box against the name of the project click finish currently tested features scheduler vtaskdelayuntil vtaskpriorityset and vtaskpriorityget queue send and receive binary semaphore xtasknotifygive and xtasknotifytake as mutex between two processes we have tested the project for ram build configuration only will update once i test for flash build configuration reference documentations freertos https www freertos org freertos quick start guide html page top a lot of other topics are covered in www freertos org mpc5604b 1 reference manual https www nxp com docs en reference manual mpc5604bcrm pdf ppc arhcitecture and programming 1 ppc book e architecture https www st com content ccc resource technical document reference manual 8b 6f 4e d6 72 82 45 78 cd00164807 pdf files cd00164807 pdf jcr content translations en cd00164807 pdf 2 e200z core reference manual https www nxp com docs en reference manual e200z0rm pdf 3 ppc eabi reference manual https www nxp com docs en application note ppceabi pdf 4 ppc variable length encoding good coverage on vle instructions https drive google com drive folders 11an9hp4jsgfs7cfd1qkb76o 8edcjfd 5 variable length encoding vle extension programming interface manual assembly programming https www nxp com docs en supporting information vlepim pdf codewarrior 1 assembler reference https www nxp com docs en reference manual asmx86rm pdf 2 compiler reference https www nxp com docs en reference manual ccompilerrm pdf 3 codewarrior linker command file lcf https www nxp com docs en application note an4497 pdf | os |
|
DevExtreme | devextreme devextreme is a set of enterprise ready ui component suites for angular react vue and jquery it is everything you need to create responsive web apps for touch devices and traditional desktops data grid interactive charts data editors navigation and multi purpose widgets these controls are designed to look great and to provide powerful functionality in any browser official website js devexpress com https js devexpress com pricing js devexpress com buy https js devexpress com buy licensing js devexpress com licensing https js devexpress com licensing support www devexpress com support https www devexpress com support getting started devextreme angular create a devextreme angular application https js devexpress com documentation guide angular components getting started create a devextreme application add devextreme to an angular application https js devexpress com documentation guide angular components getting started add devextreme to an angular cli application devextreme react create a devextreme react application https js devexpress com documentation guide react components create a devextreme application add devextreme to a react application https js devexpress com documentation guide react components add devextreme to a react application devextreme vue create a devextreme vue application https js devexpress com documentation guide vue components create a devextreme application add devextreme to a vue application https js devexpress com documentation guide vue components add devextreme to a vue application devextreme jquery add devextreme to a jquery application https js devexpress com documentation guide jquery components add devextreme to a jquery application learn online demos https js devexpress com demos documentation https js devexpress com documentation examples on github https github com devexpress devextreme examples youtube videos https www youtube com user developerexpress contributing see our guidelines for contributing contributing md | devexpress html javascript responsive widgets datagrid charting-library chart charts scheduler pivotgrid ui-components gantt filemanager treelist | front_end |
Algorithms_for_MachineLearning | algorithms for machinelearning open source code for machine learning in computer vision | machine-learning computer-vision alogrithms | ai |
BirdViewWebApp | purpose to provide an interactive platform where bird watchers can identify a bird that they spot services bird recognition the user uploads an image of a bird the application returns the top 5 matches and relevant data of each bird locate a bird in development stage the user queries for a bird the webapp returns the location closest to the user where the bird can be found bird dictionary this returns a list of all birds that the application is capable to identify currently the webapp is trained to identify 200 different species of birds as sourced in the caltech ucsd birds 200 2011 dataset discover birds the user queries for a bird the application returns all relevant data about the bird technologies used spring boot spring web framework and spring boot are used for servlet deployment dispatcher servlet and web framework with mvc architecture angularjs angularjs is used for two way data binding java java dynamic web framework is used for server side programming html5 css bootstrap html5 css and bootstrap are used as front end technologies maven apache maven is used to resolve dependencies tomcat apache tomcat server is used fordeployment tensorflow tensorflow is used to retrain the last layer of inception model which was trained on imagenet and training it for the 200 class classification problem from the uc sd caltech cub 2011 extended dataset mediawiki api mediawiki api is an interface made available by wikimedia foundation to access wikipedia s content and metadata in machine human readable formats and for use by developers python 2 7 12 python 2 7 12 is used fo rserver side programming apache 2 0 server it is a web server software and has interface support for python json json is a light weight data interchange format it is structured easy to transfer read and store it is used for exchanging data between servers and server and frontend in the webapp caltech ucsd birds 200 2011 dataset it is an image dataset with photos of 200 bird species authored by wah c andbranson s and welinder p and perona p and belongie s flowcharts image https user images githubusercontent com 31643223 37350741 9499e2e8 26ff 11e8 808c aad5e33554ce png image https user images githubusercontent com 31643223 37350777 a28d496c 26ff 11e8 8aec fa468e5831e8 png image https user images githubusercontent com 31643223 37350788 a8852da8 26ff 11e8 958f 693786ada0be png folder structure image https user images githubusercontent com 31643223 37350815 b80a2f58 26ff 11e8 8af1 9277b81eed68 png server side functions and scripts webinitializer java configures spring boot application initialize storage service maincontroller java initializes users logincontroller java authenticates credentials signupcontroller java adds a new user uploadcontroller java stores uploaded image to directory on server resultcontroller java captures json object from server 2 and returns to front end controllers app js appconfig js appcontroller js configure angular controllers configure location configure service logincontroller js signupcontroller js nousercontroller js homecontroller js uploadcontroller js discovercontroller js dictionarycontroller js resultcontroller js resultdiscovercontroller js imageopener py responds to post requests which upload a jpeg file uses cgi extracts payload from the request assigns a token to the request updates the token count stores the image with this token id calls mastercontroller py converts the returned objects into a json object returns the response as json object mastercontroller py gets data from other utility scripts coordinates among them and returns the result to imageopener py calls masterlabeller py to get the top 5 labels passes these labels iteratively tomasterextractor py gets summary wikipedia links location brief linkto images from masterextractor py returns everything to the caller maslabeller py receives the path to the image to be labelled returns the list of top 5 bird species matching the image reads the image file as binary reads the output labels file loads the trained model obtains a tensorflow session uses softmax in the last layer to assign scores toimages in the range 0 1 sorts them by score in descending order returns top 5 scoring species labels masterextractor py receives label species name returns summary wikipedia links location brief link to images runs a search on wikipedia database using mediawiki api gets metadata viz page id page title etc gets extract wikipedia page link uses wptools package utilities to get imagelinks from infobox from wikipage gets raw link to the images using mediawiki api masterlocationextractor py receives the wiki page id returns a brief on locations where the bird is found uses string processing and parsing to extractlocation information from the wikipedia page about the bird returns the relevant data screenshots image https user images githubusercontent com 31643223 37350855 ca92a9fc 26ff 11e8 95e4 7de390cb35cb png image https user images githubusercontent com 31643223 37350861 ce6b7c2a 26ff 11e8 8df4 7e947d047423 png image https user images githubusercontent com 31643223 37350870 d15c6296 26ff 11e8 8c91 f7ddd051755c png image https user images githubusercontent com 31643223 37350873 d368b602 26ff 11e8 8f9f 84fbcb29a53a png image https user images githubusercontent com 31643223 37350877 d6322fda 26ff 11e8 8c49 4af866221d1a png image https user images githubusercontent com 31643223 37350883 d9393fac 26ff 11e8 9f21 005406b4f4ff png image https user images githubusercontent com 31643223 37350891 dc05dca4 26ff 11e8 99d9 ed0d44c3ce38 png image https user images githubusercontent com 31643223 37350895 de774bbc 26ff 11e8 93de 9e9d27ce2d91 png image https user images githubusercontent com 31643223 37350900 e15cac64 26ff 11e8 8db7 f21a94d645e9 png image https user images githubusercontent com 31643223 37350901 e366418c 26ff 11e8 8c24 8ecba55ee0c3 png image https user images githubusercontent com 31643223 37350904 e602c92e 26ff 11e8 809e d6a29777ce7c png image https user images githubusercontent com 31643223 37350909 e85b2126 26ff 11e8 8068 2366d54f8c6c png image https user images githubusercontent com 31643223 37350914 eae9546c 26ff 11e8 8540 bdcc511ba5bb png image https user images githubusercontent com 31643223 37350921 ed77eb80 26ff 11e8 97d9 360ceec9fc37 png image https user images githubusercontent com 31643223 37350923 f0516958 26ff 11e8 8b36 ecd7c6803da7 png image https user images githubusercontent com 31643223 37350924 f2aef652 26ff 11e8 99c6 4609df4c084e png image https user images githubusercontent com 31643223 37350928 f509ff3c 26ff 11e8 8411 20396884bf2a png image https user images githubusercontent com 31643223 37350940 f7e88688 26ff 11e8 9c0c 3dde8db16ba4 png image https user images githubusercontent com 31643223 37350946 fb65c140 26ff 11e8 9331 e1b4b8bb8dfa png image https user images githubusercontent com 31643223 37350951 fd2fce8a 26ff 11e8 8b32 43dc62f8f1ca png image https user images githubusercontent com 31643223 37350961 013e7a08 2700 11e8 9e69 a5f71ec0a42d png areas of further development data fetched from wikipedia can be stored in a database and this database can be periodically updated additional content can be either manually added or extracted from other internet sources cgi can be replaced with wsgi or a multithreaded request handler which will create light weight instances of the imageopener py script googlemaps api can be used to display locations where birds are found after extracting location entities using named entity recognition from parsed location information currently we are classifying 200 species the number of species can be extended an extensive database can be developed to keep track of users and their activities training and labelling can be further improved by exploring techniques like image segmentation followed by classification additional miscellaneous service can be added | ai |
|
Other-sources | other sources asada m hosoda k kuniyoshi y ishiguro h inui t yoshikawa y ogino m yoshida c 2009 cognitive developmental robotics a survey ieee transactions on autonomous mental development 1 1 12 34 doi 10 1109 tamd 2009 2021702 s2cid 10168773 acm computing classification system artificial intelligence acm 1998 archived from the original on 12 october 2007 retrieved 30 august 2007 goodman joanna 2016 robots in law how artificial intelligence is transforming legal services 1st ed ark group isbn 978 1 78358 264 8 archived from the original on 8 november 2016 retrieved 7 november 2016 albus j s 2002 4 d rcs a reference model architecture for intelligent unmanned ground vehicles pdf in gerhart g gunderson r shoemaker c eds proceedings of the spie aerosense session on unmanned ground vehicle technology unmanned ground vehicle technology iv 3693 pp 11 20 bibcode 2002spie 4715 303a citeseerx 10 1 1 15 14 doi 10 1117 12 474462 s2cid 63339739 archived from the original pdf on 25 july 2004 aleksander igor 1995 artificial neuroconsciousness an update iwann archived from the original on 2 march 1997 bibtex archived 2 march 1997 at the wayback machine bach joscha 2008 seven principles of synthetic intelligence in wang pei goertzel ben franklin stan eds artificial general intelligence 2008 proceedings of the first agi conference ios press pp 63 74 isbn 978 1 58603 833 5 archived from the original on 8 july 2016 retrieved 16 february 2016 robots could demand legal rights bbc news 21 december 2006 archived from the original on 15 october 2019 retrieved 3 february 2011 brooks rodney 1990 elephants don t play chess pdf robotics and autonomous systems 6 1 2 3 15 citeseerx 10 1 1 588 7539 doi 10 1016 s0921 8890 05 80025 9 archived pdf from the original on 9 august 2007 brooks r a 1991 how to build complete creatures rather than isolated cognitive simulators in vanlehn k ed architectures for intelligence hillsdale nj lawrence erlbaum associates pp 225 239 citeseerx 10 1 1 52 9510 buchanan bruce g 2005 a very brief history of artificial intelligence pdf ai magazine 53 60 archived from the original pdf on 26 september 2007 butler samuel 13 june 1863 darwin among the machines letters to the editor the press christchurch new zealand archived from the original on 19 september 2008 retrieved 16 october 2014 via victoria university of wellington clark jack 8 december 2015 why 2015 was a breakthrough year in artificial intelligence bloomberg news archived from the original on 23 november 2016 retrieved 23 november 2016 after a half decade of quiet breakthroughs in artificial intelligence 2015 has been a landmark year computers are smarter and learning faster than ever ai set to exceed human brain power cnn 26 july 2006 archived from the original on 19 february 2008 dennett daniel 1991 consciousness explained the penguin press isbn 978 0 7139 9037 9 domingos pedro 2015 the master algorithm how the quest for the ultimate learning machine will remake our world basic books isbn 978 0 465 06192 1 dowe d l hajek a r 1997 a computational extension to the turing test proceedings of the 4th conference of the australasian cognitive science society archived from the original on 28 june 2011 dreyfus hubert 1972 what computers can t do new york mit press isbn 978 0 06 011082 6 dreyfus hubert dreyfus stuart 1986 mind over machine the power of human intuition and expertise in the era of the computer oxford uk blackwell isbn 978 0 02 908060 3 archived from the original on 26 july 2020 retrieved 22 august 2020 dreyfus hubert 1992 what computers still can t do new york mit press isbn 978 0 262 54067 4 dyson george 1998 darwin among the machines allan lane science isbn 978 0 7382 0030 9 archived from the original on 26 july 2020 retrieved 22 august 2020 edelman gerald 23 november 2007 gerald edelman neural darwinism and brain based devices talking robots archived from the original on 8 october 2009 edelson edward 1991 the nervous system new york chelsea house isbn 978 0 7910 0464 7 archived from the original on 26 july 2020 retrieved 18 november 2019 fearn nicholas 2007 the latest answers to the oldest questions a philosophical adventure with the world s greatest thinkers new york grove press isbn 978 0 8021 1839 4 gladwell malcolm 2005 blink new york little brown and co isbn 978 0 316 17232 5 g del kurt 1951 some basic theorems on the foundations of mathematics and their implications gibbs lecture in feferman solomon ed 1995 kurt g del collected works vol iii unpublished essays and lectures oxford university press pp 304 23 isbn 978 0 19 514722 3 haugeland john 1985 artificial intelligence the very idea cambridge mass mit press isbn 978 0 262 08153 5 hawkins jeff blakeslee sandra 2005 on intelligence new york ny owl books isbn 978 0 8050 7853 4 henderson mark 24 april 2007 human rights for robots we re getting carried away the times online london archived from the original on 31 may 2014 retrieved 31 may 2014 hernandez orallo jose 2000 beyond the turing test journal of logic language and information 9 4 447 466 doi 10 1023 a 1008367325700 s2cid 14481982 hernandez orallo j dowe d l 2010 measuring universal intelligence towards an anytime intelligence test artificial intelligence 174 18 1508 1539 citeseerx 10 1 1 295 9079 doi 10 1016 j artint 2010 09 006 hinton g e 2007 learning multiple layers of representation trends in cognitive sciences 11 10 428 434 doi 10 1016 j tics 2007 09 004 pmid 17921042 s2cid 15066318 hofstadter douglas 1979 g del escher bach an eternal golden braid new york ny vintage books isbn 978 0 394 74502 2 holland john h 1975 adaptation in natural and artificial systems university of michigan press isbn 978 0 262 58111 0 archived from the original on 26 july 2020 retrieved 17 december 2019 howe j november 1994 artificial intelligence at edinburgh university a perspective archived from the original on 15 may 2007 retrieved 30 august 2007 hutter m 2012 one decade of universal artificial intelligence theoretical foundations of artificial general intelligence atlantis thinking machines 4 pp 67 88 citeseerx 10 1 1 228 8725 doi 10 2991 978 94 91216 62 6 5 isbn 978 94 91216 61 9 s2cid 8888091 kahneman daniel slovic d tversky amos 1982 judgment under uncertainty heuristics and biases science 185 new york cambridge university press pp 1124 31 doi 10 1126 science 185 4157 1124 isbn 978 0 521 28414 1 pmid 17835457 s2cid 143452957 kaplan andreas haenlein michael 2019 siri siri in my hand who s the fairest in the land on the interpretations illustrations and implications of artificial intelligence business horizons 62 15 25 doi 10 1016 j bushor 2018 08 004 katz yarden 1 november 2012 noam chomsky on where artificial intelligence went wrong the atlantic archived from the original on 28 february 2019 retrieved 26 october 2014 kismet mit artificial intelligence laboratory humanoid robotics group archived from the original on 17 october 2014 retrieved 25 october 2014 koza john r 1992 genetic programming on the programming of computers by means of natural selection mit press bibcode 1992gppc book k isbn 978 0 262 11170 6 kolata g 1982 how can computers get common sense science 217 4566 1237 1238 bibcode 1982sci 217 1237k doi 10 1126 science 217 4566 1237 pmid 17837639 kumar gulshan kumar krishan 2012 the use of artificial intelligence based ensembles for intrusion detection a review applied computational intelligence and soft computing 2012 1 20 doi 10 1155 2012 850160 kurzweil ray 1999 the age of spiritual machines penguin books isbn 978 0 670 88217 5 kurzweil ray 2005 the singularity is near penguin books isbn 978 0 670 03384 3 lakoff george n ez rafael e 2000 where mathematics comes from how the embodied mind brings mathematics into being basic books isbn 978 0 465 03771 1 langley pat 2011 the changing science of machine learning machine learning 82 3 275 279 doi 10 1007 s10994 011 5242 y law diane june 1994 searle subsymbolic functionalism and synthetic intelligence technical report university of texas at austin p ai94 222 citeseerx 10 1 1 38 8384 legg shane hutter marcus 15 june 2007 a collection of definitions of intelligence technical report idsia arxiv 0706 3639 bibcode 2007arxiv0706 3639l 07 07 lenat douglas guha r v 1989 building large knowledge based systems addison wesley isbn 978 0 201 51752 1 lighthill james 1973 artificial intelligence a general survey artificial intelligence a paper symposium science research council lucas john 1961 minds machines and g del in anderson a r ed minds and machines archived from the original on 19 august 2007 retrieved 30 august 2007 lungarella m metta g pfeifer r sandini g 2003 developmental robotics a survey connection science 15 4 151 190 citeseerx 10 1 1 83 7615 doi 10 1080 09540090310001655110 s2cid 1452734 maker meg houston 2006 ai 50 ai past present future dartmouth college archived from the original on 3 january 2007 retrieved 16 october 2008 markoff john 16 february 2011 computer wins on jeopardy trivial it s not the new york times archived from the original on 22 october 2014 retrieved 25 october 2014 mccarthy john minsky marvin rochester nathan shannon claude 1955 a proposal for the dartmouth summer research project on artificial intelligence archived from the original on 26 august 2007 retrieved 30 august 2007 mccarthy john hayes p j 1969 some philosophical problems from the standpoint of artificial intelligence machine intelligence 4 463 502 citeseerx 10 1 1 85 5082 archived from the original on 10 august 2007 retrieved 30 august 2007 mccarthy john 12 november 2007 what is artificial intelligence archived from the original on 18 november 2015 minsky marvin 1967 computation finite and infinite machines englewood cliffs n j prentice hall isbn 978 0 13 165449 5 archived from the original on 26 july 2020 retrieved 18 november 2019 minsky marvin 2006 the emotion machine new york ny simon amp schusterl isbn 978 0 7432 7663 4 moravec hans 1988 mind children harvard university press isbn 978 0 674 57616 2 archived from the original on 26 july 2020 retrieved 18 november 2019 norvig peter 25 june 2012 on chomsky and the two cultures of statistical learning peter norvig archived from the original on 19 october 2014 nrc united states national research council 1999 developments in artificial intelligence funding a revolution government support for computing research national academy press needham joseph 1986 science and civilization in china volume 2 caves books ltd newell allen simon h a 1976 computer science as empirical inquiry symbols and search communications of the acm 19 3 113 126 doi 10 1145 360018 360022 nilsson nils 1983 artificial intelligence prepares for 2001 pdf ai magazine 1 1 archived pdf from the original on 17 august 2020 retrieved 22 august 2020 presidential address to the association for the advancement of artificial intelligence o brien james marakas george 2011 management information systems 10th ed mcgraw hill irwin isbn 978 0 07 337681 3 o connor kathleen malone 1994 the alchemical creation of life takwin and other concepts of genesis in medieval islam university of pennsylvania 1 435 archived from the original on 5 december 2019 retrieved 27 august 2008 oudeyer p y 2010 on the impact of robotics in behavioral and cognitive sciences from insect navigation to human cognitive development pdf ieee transactions on autonomous mental development 2 1 2 16 doi 10 1109 tamd 2009 2039057 s2cid 6362217 archived pdf from the original on 3 october 2018 retrieved 4 june 2013 penrose roger 1989 the emperor s new mind concerning computer minds and the laws of physics oxford university press isbn 978 0 19 851973 7 poli r langdon w b mcphee n f 2008 a field guide to genetic programming lulu com isbn 978 1 4092 0073 4 archived from the original on 8 august 2015 retrieved 21 april 2008 via gp field guide org uk rajani sandeep 2011 artificial intelligence man or machine pdf international journal of information technology and knowledge management 4 1 173 176 archived from the original pdf on 18 january 2013 ronald e m a and sipper m intelligence is not enough on the socialization of talking machines minds and machines archived 25 july 2020 at the wayback machine vol 11 no 4 pp 567 576 november 2001 ronald e m a and sipper m what use is a turing chatterbox archived 25 july 2020 at the wayback machine communications of the acm vol 43 no 10 pp 21 23 october 2000 science august 1982 archived from the original on 25 july 2020 retrieved 16 february 2016 searle john 1980 minds brains and programs pdf behavioral and brain sciences 3 3 417 457 doi 10 1017 s0140525x00005756 archived pdf from the original on 17 march 2019 retrieved 22 august 2020 searle john 1999 mind language and society new york ny basic books isbn 978 0 465 04521 1 oclc 231867665 archived from the original on 26 july 2020 retrieved 22 august 2020 shapiro stuart c 1992 artificial intelligence in shapiro stuart c ed encyclopedia of artificial intelligence pdf 2nd ed new york john wiley pp 54 57 isbn 978 0 471 50306 4 archived pdf from the original on 1 february 2016 retrieved 29 may 2009 simon h a 1965 the shape of automation for men and management new york harper amp row archived from the original on 26 july 2020 retrieved 18 november 2019 skillings jonathan 3 july 2006 getting machines to think like us cnet archived from the original on 16 november 2011 retrieved 3 february 2011 solomonoff ray 1956 an inductive inference machine pdf dartmouth summer research conference on artificial intelligence archived pdf from the original on 26 april 2011 retrieved 22 march 2011 via std com pdf scanned copy of the original later published as solomonoff ray 1957 an inductive inference machine ire convention record section on information theory part 2 pp 56 62 tao jianhua tan tieniu 2005 affective computing and intelligent interaction affective computing a review lncs 3784 springer pp 981 995 doi 10 1007 11573548 tecuci gheorghe march april 2012 artificial intelligence wiley interdisciplinary reviews computational statistics 4 2 168 180 doi 10 1002 wics 200 thro ellen 1993 robotics the marriage of computers and machines new york facts on file isbn 978 0 8160 2628 9 archived from the original on 26 july 2020 retrieved 22 august 2020 turing alan october 1950 computing machinery and intelligence mind lix 236 433 460 doi 10 1093 mind lix 236 433 issn 0026 4423 van der walt christiaan bernard etienne 2006 data characteristics that determine classifier performance pdf archived from the original pdf on 25 march 2009 retrieved 5 august 2009 vinge vernor 1993 the coming technological singularity how to survive in the post human era vision 21 interdisciplinary science and engineering in the era of cyberspace 11 bibcode 1993vise nasa 11v archived from the original on 1 january 2007 retrieved 14 november 2011 wason p c shapiro d 1966 reasoning in foss b m ed new horizons in psychology harmondsworth penguin archived from the original on 26 july 2020 retrieved 18 november 2019 weizenbaum joseph 1976 computer power and human reason san francisco w h freeman amp company isbn 978 0 7167 0464 5 weng j mcclelland pentland a sporns o stockman i sur m thelen e 2001 autonomous mental development by robots and animals pdf science 291 5504 599 600 doi 10 1126 science 291 5504 599 pmid 11229402 s2cid 54131797 archived pdf from the original on 4 september 2013 retrieved 4 june 2013 via msu edu applications of ai www formal stanford edu archived from the original on 28 august 2016 retrieved 25 september 2016 further reading dh author why are there still so many jobs the history and future of workplace automation 2015 29 3 journal of economic perspectives 3 boden margaret mind as machine oxford university press 2006 cukier kenneth ready for robots how to think about the future of ai foreign affairs vol 98 no 4 july august 2019 pp 192 98 george dyson historian of computing writes in what might be called dyson s law that any system simple enough to be understandable will not be complicated enough to behave intelligently while any system complicated enough to behave intelligently will be too complicated to understand p 197 computer scientist alex pentland writes current ai machine learning algorithms are at their core dead simple stupid they work but they work by brute force p 198 domingos pedro our digital doubles ai will serve our species not control it scientific american vol 319 no 3 september 2018 pp 88 93 gopnik alison making ai more human artificial intelligence has staged a revival by starting to incorporate what we know about how children learn scientific american vol 316 no 6 june 2017 pp 60 65 johnston john 2008 the allure of machinic life cybernetics artificial life and the new ai mit press koch christof proust among the machines scientific american vol 321 no 6 december 2019 pp 46 49 christof koch doubts the possibility of intelligent machines attaining consciousness because e ven the most sophisticated brain simulations are unlikely to produce conscious feelings p 48 according to koch whether machines can become sentient is important for ethical reasons if computers experience life through their own senses they cease to be purely a means to an end determined by their usefulness to humans per gnw the global neuronal workspace theory they turn from mere objects into subjects with a point of view once computers cognitive abilities rival those of humanity their impulse to push for legal and political rights will become irresistible the right not to be deleted not to have their memories wiped clean not to suffer pain and degradation the alternative embodied by iit integrated information theory is that computers will remain only supersophisticated machinery ghostlike empty shells devoid of what we value most the feeling of life itself p 49 marcus gary am i human researchers need new ways to distinguish artificial intelligence from the natural kind scientific american vol 316 no 3 march 2017 pp 58 63 a stumbling block to ai has been an incapacity for reliable disambiguation an example is the pronoun disambiguation problem a machine has no way of determining to whom or what a pronoun in a sentence refers p 61 e mcgaughey will robots automate your job away full employment basic income and economic democracy 2018 ssrn part 2 3 archived 24 may 2018 at the wayback machine george musser artificial imagination how machines could learn creativity and common sense among other human qualities scientific american vol 320 no 5 may 2019 pp 58 63 myers courtney boyd ed 2009 the ai report archived 29 july 2017 at the wayback machine forbes june 2009 raphael bertram 1976 the thinking computer w h freeman and company isbn 978 0 7167 0723 3 archived from the original on 26 july 2020 retrieved 22 august 2020 scharre paul killer apps the real dangers of an ai arms race foreign affairs vol 98 no 3 may june 2019 pp 135 44 today s ai technologies are powerful but unreliable rules based systems cannot deal with circumstances their programmers did not anticipate learning systems are limited by the data on which they were trained ai failures have already led to tragedy advanced autopilot features in cars although they perform well in some circumstances have driven cars without warning into trucks concrete barriers and parked cars in the wrong situation ai systems go from supersmart to superdumb in an instant when an enemy is trying to manipulate and hack an ai system the risks are even greater p 140 serenko alexander 2010 the development of an ai journal ranking based on the revealed preference approach pdf journal of informetrics 4 4 447 459 doi 10 1016 j joi 2010 04 001 archived pdf from the original on 4 october 2013 retrieved 24 august 2013 serenko alexander michael dohan 2011 comparing the expert survey and citation impact journal ranking methods example from the field of artificial intelligence pdf journal of informetrics 5 4 629 649 doi 10 1016 j joi 2011 06 002 archived pdf from the original on 4 october 2013 retrieved 12 september 2013 sun r amp bookman l eds computational architectures integrating neural and symbolic processes kluwer academic publishers needham ma 1994 tom simonite 29 december 2014 2014 in computing breakthroughs in artificial intelligence mit technology review tooze adam democracy and its discontents the new york review of books vol lxvi no 10 6 june 2019 pp 52 53 56 57 democracy has no clear answer for the mindless operation of bureaucratic and technological power we may indeed be witnessing its extension in the form of artificial intelligence and robotics likewise after decades of dire warning the environmental problem remains fundamentally unaddressed bureaucratic overreach and environmental catastrophe are precisely the kinds of slow moving existential challenges that democracies deal with very badly finally there is the threat du jour corporations and the technologies they promote pp 56 57 | os |
|
esp_mqtt | esp mqtt https travis ci org tuanpmt esp mqtt svg branch master https travis ci org tuanpmt esp mqtt this is mqtt client library for esp8266 port from mqtt client library for contiki https github com esar contiki mqtt thanks features support subscribing publishing authentication will messages keep alive pings and all 3 qos levels it should be a fully functional client support multiple connection to multiple hosts support ssl connection easy to setup and use prerequire esptool py https github com themadinventor esptool sdk 2 0 or higher http bbs espressif com viewtopic php f 46 t 2451 esp8266 compiler osx or linux http tuanpm net esp8266 development kit on mac os yosemite and eclipse ide windows http programs74 ru udkew en html compile copy file include user config sample h to include user config local h and change settings included ssid pass mqtt configurations make sure to add python path and compile path to eclipse environment variable if using eclipse bash git clone recursive https github com tuanpmt esp mqtt cd esp mqtt clean make clean make make sdk base tools esp8266 sdk esp8266 nonos sdk esptool tools esp8266 esptool esptool py all flash make espport dev ttyusb0 flash usage see file user user main c notes the client id needs to be unique if not when there are more than 2 clients use the same clientid the following logged in client will kick the ahead logged in client and so on forever publish message and subscribe c true if success bool mqtt subscribe mqtt client client char topic uint8 t qos bool mqtt publish mqtt client client const char topic const char data int data length int qos int retain already support lwt last will and testament c broker will publish a message with qos 0 retain 0 data offline to topic lwt if client don t send keepalive packet mqtt initlwt mqttclient lwt offline 0 0 default configuration see include user config sample h define protocol name in include user config local h c define protocol namev31 mqtt version 3 1 compatible with mosquitto v0 15 protocol namev311 mqtt version 3 11 compatible with https eclipse org paho clients testing create ssl self sign openssl req x509 newkey rsa 1024 keyout key pem out cert pem days xxx ssl mqtt broker for test javascript var mosca require mosca var secure key dirname key pem var secure cert dirname cert pem var ascoltatore using ascoltatore type mongo url mongodb localhost 27017 mqtt pubsubcollection ascoltatori mongo var moscasettings port 1880 stats false backend ascoltatore persistence factory mosca persistence mongo url mongodb localhost 27017 mqtt secure keypath secure key certpath secure cert port 1883 var server new mosca server moscasettings server on ready setup server on clientconnected function client console log client connected client id fired when a message is received server on published function packet client console log published packet payload fired when the mqtt server is ready function setup console log mosca server is up and running example projects using esp mqtt https github com eadf esp mqtt lcd https github com eadf esp mqtt lcd mqtt broker for test https github com mcollina mosca mqtt client for test https chrome google com webstore detail mqttlens hemojaaeigabkbcookmlgmdigohjobjm hl en contributing feel free to contribute to the project in any way you like authors tuan pm https twitter com tuanpmt license mit license | mqtt esp8266 made-in-vietnam iot | server |
te2004b-embedded-systems | design of advanced embedded systems te2004b this is an intermediate level course in electronic engineering focused on applications of digital systems with parallel processing capacity requires knowledge of systems on chip as a result of learning the student designs embedded digital systems using advanced algorithms and computational interfaces based on alternatives such as digital signal processing and parallel processing professor pedro perez | os |
|
udagram-app-serverless | serverless udagram app serverless app with lambda dynamodb serverless framework v1 83 3 | aws-lambda dynamodb serverless-framework typescript | cloud |
SOTA-Vision | pytorch implementations of various state of the art architectures 1 mlp mixer an all mlp architecture for vision https arxiv org abs 2105 01601 img src imgs mlp png width 500px img python import torch from mlp mixer import mlpmixer model mlpmixer classes 10 blocks 6 img dim 128 patch dim 128 in channels 3 dim 512 token dim 256 channel dim 2048 x torch randn 1 3 128 128 model x 1 10 2 transunet transformers make strong encoders for medical image segmentation https arxiv org abs 2102 04306 img src imgs transunet png width 500px img python import torch from transunet import transunet model transunet img dim 128 patch dim 16 in channels 3 classes 2 blocks 6 heads 8 linear dim 1024 x torch randn 1 3 128 128 model x 2 128 128 3 an image is worth 16x16 words transformers for image recognition at scale https arxiv org abs 2010 11929 img src imgs vit png width 500px img python import torch from vit import vit model vit img dim 128 in channels 3 patch dim 16 classes 10 dim 512 blocks 6 heads 4 linear dim 1024 classification true x torch randn 1 3 128 128 model x 1 10 4 fastformer additive attention can be all you need https arxiv org abs 2108 09084 img src imgs fastformer png width 500px img python import torch from fastformer import fastformer model fastformer in dims 256 token dim 512 num heads 8 x torch randn 1 128 256 model x 1 128 512 5 single image super resolution via a holistic attention network https arxiv org abs 2008 08767 img src imgs han png width 500px img python import torch from han import han model han in channels 3 x torch randn 1 3 256 256 model x 1 3 512 512 | pytorch deep-learning pytorch-implementation transformer-architecture deep-learning-algorithms | ai |
ChitChat-Messenger | chitchat messenger android app for real time two way communication purpose with the ability to fetch contact numbers from phone book firebase real time database is used for backend purposes java is used for app development capture https github com hassanhaider1212 chitchat messenger assets 119353034 1a873c5c 1e65 48e4 a786 e5cf1df94d3f | server |
|
DB_Transaction_analysis | coding challenge instructions perform data analysis on transaction data in python with unit testing setup sql database project setup python interpreter conda environment with python 3 9 requirements pandas postgres psycopg2 testing postgresql postgres container on docker hosting postgresql db database name postgres host localhost port 5432 username postgres password postgres server currently stopped database management system used datagrip output from terminal directed to output txt to run code run data processor py to run database unit tests run test database py process 1 host a postgresql database via docker 2 manipulate and interact with db via datagrip to quickly try out sql statements and check the connection 3 connect to the db via pycharm db browser 4 create a class for the database in the program 5 define instance variables for the database class the connection so it can be maintained and the fraud data on the db 6 create functions for specific db related tasks each with its own cursor to execute sql statements 7 create a database processor class instantiated with variables to use in its functions transactions db and fraud data 8 create functions to process the transaction data based on the fraud data in the db 9 main functions include sanitise data find fraudulent transactions mask transactions and save in new files json and binary format 10 instantiate processor which uses db to process data 11 send output from terminal to file questions 1 what would be best practice have an sql file with all statements or divide them up into functions in a python file 2 is datagrip a good option for db management or is it more efficient to just use pycharm 3 should i have stored the transaction data in the db as well 4 is the luhn algorithm a save and effective option for credit card number validation 5 is it best practice to stop docker image or keep running constantly 6 in what format should the masked files have been stored | server |
|
SempoBlockchain | a href https withsempo com img width 200 src app server static media sempo logo teal png alt sempo logo a circleci https circleci com gh teamsempo sempoblockchain svg style shield https circleci com gh teamsempo sempoblockchain github https img shields io github license teamsempo sempoblockchain license codecov https img shields io codecov c github teamsempo sempoblockchain https codecov io gh teamsempo sempoblockchain sempo admin dashboard and crypto financial inclusion infrastructure with ussd android and nfc payments to run locally install requirements postgres we use postgres https www postgresql org for regular non blockchain data persistance if you plan on using the quick setup script be sure to install the psql https www postgresql org docs current app psql html terminal application as well sempo defaults to using postgres credentials of username postgres password password we recommend you create a new user with a fresh password and createdb permissions for example create user dev sempo with password supersecret createdb set these to the environment variables pguser and pgpassword redis redis https redis io is used for passing tasks to an asynchronous worker queue local test blockchain you can use your preferred implementation of the ethereum blockchain to test things locally our setup scripts use the v6 4 1 ganache cli https github com trufflesuite ganache cli other versions of ganache may not perform as expected npm install g ganache cli 6 4 1 cairo and pango optional pdf generation requires cairo and pango on osx brew install cairo brew install pango python download and install python 3 8 and its respective pip and virtualenv then from root directory python3 m venv venv source venv bin activate cd devtools install python requirements sh front end our frontend uses react from app directory npm install to build and watch for changes npm run dev create config files the platform uses three kinds of config files deployment specific config things that aren t sensitive and change on a per deployment basis deployment specific secrets things that are sensitive and change on a per deployment basis common secrets things that are sensitive and can be the same between all deployments there s already a reasonable set of local configs in config files local config ini to create some suitable secrets quickly use the following note that if you re using the quick setup script below this is done for you from config files directory python generate secrets py quick setup script requires psql to run if you re using a custom postgres user remember to set the environment variables pguser and pgpassword first for quick setup use the quick setup script in devtools from devtools directory quick setup script sh activation path for your python env for example quick setup script sh venvs sempo bin activate the script will reset your local sempo state generate new secrets launch ganache and redis create an adminstrator account with email admin acme org and password c0rrecth0rse create a reserve token and bonded token when the script has finished running you can start your own app and worker processes see next section and continue on this can be a little hard to identify because ganache continues to run but a good indicator is if bringing ganache to foreground is echo d in the console run the app in a virtual env from app directory python run py launch the worker transaction on the blockchain are made using asynchronous workers that consume a celery task queue from eth worker directory celery worker a celery app loglevel info concurrency 8 pool gevent q processor celery low priority high priority details and other options enable the blockchain simulator if you wish to forego installing ganache and redis you can enable a simulator mode what this does is bypass the eth worker and any queued jobs and instead returns dummy responses to any functions relying on eth worker be warned this will make your database fall out of sync with any ganache instance you have set up so use this with care but it is very useful in eliminating dependencies when working on any features in the api or frontend it also allows you to run contract setup script py without additional dependencies to enable simulator mode open config files local config ini and add the line enable simulator mode true under the app heading ganache detailed setup transaction on the blockchain are made using asynchronous workers that consume a celery task queue if you are using ganache the following command will launch ganache in a compatible manner ganache cli l 80000000 i 42 db ganachedb account your private key 10000000000000000000000000 here the l 80000000 argument increases the gas limit which is required for token exchange deployments the db argument persists your data to a local folder this can be a little flaky so if you get any strange errors try deleting the contents of the ganachedb directory and retrying the account argument creates an account with lots of test ether to stop you running out too quickly note that you ll need to provide the master wallet private key that s found within your config files the bash script gacnache cli sh can be used to run this quickly be sure to set the master wallet pk environment variable beforehand if it s not already you will also need to set your local config to match ethereum http provider http 127 0 0 1 8545 blockchain workers in order for the workers to run you ll need to launch redis and celery on production we run multiple workers to handle different tasks but locally you can just launch one worker to run everything first launch the redis server which acts as a message broker for celery tasks in terminal run redis server if you get some message about creating server tcp listening socket 6379 bind address already in use this is probably just because redis is already running did you use the quick setup script you can probably carry on start celery from eth worker directory celery worker a celery app loglevel info concurrency 8 pool gevent q processor celery low priority high priority you can also add a runtime configuration with the script path set as the path to your virtual env path to your python env bin celery set the parameters to the run line above lastly if you want to run full blockchain tests set the environment variable force blockchain tests to true database migration migrate differs slightly for the main app uses flask migrate version of alembic versus the ethereum worker uses pure alembic for more commands see alembic documentation https alembic sqlalchemy org en latest for main app first setup your database sempo app using the username and password from the local config file next to update your database to the latest migration file cd app python manage py db upgrade to create a new migration make the modifications to the model file to reflect the database changes python manage py db migrate remember to commit the file sometimes branches split and you will have multiple heads python manage py db merge heads for ethereum worker first setup your database eth worker using the username and password from the local config file next to update your database to the latest migration file cd eth worker alembic upgrade head to create a migrations file remember to commit the file alembic revision autogenerate vendor app pull the below repo and follow steps https github com enjeyw sempovendormobile if you have installed the prod vendor app ensure you clear data and uninstall before installing from dev ussd interface to run and test the ussd interface locally there are two options run devtools ussd py with the necessary environment variables setup ngrok and use africa s talking or another ussd simulator testing ensure your test config ini and test secrets ini files are up to date test secrets can be generated using the previous python script and supplying test as the filename cd config files python generate secrets py n test create the test databases create database eth worker test create database sempo blockchain test ensure redis server is running this is not ideal but necessary atm then run python invoke tests py or if that doesn t work set it up as a runnable in pycharm run edit configurations add new configuration python set script path as sempoblockchain invoke tests py postman collections platform apis are documented using postman api documentation live docs https documenter getpostman com view 3140301 szzobweu version latest json collections and environments stored in postman in root directory sempo specific setup we use mozilla sops https github com mozilla sops for sharing low risk dev keys and secrets if you re working on a sempo specfic deployment contact nick or tristan to gain decryption access you will be given an aws account set up your credentials locally using aws cli https docs aws amazon com cli latest userguide install cliv2 html setting the profile name to sempo inside the credentials file https docs aws amazon com cli latest userguide cli configure files html once you ve been authorised you can access config settings by first creating a directory called config files in the root folder and running sops load py inside sempoconfig note that you have to be in the sempoconfig directory this will extract all keys into the config files folder to encrypt them again for sharing on git run sops save py not that sops doesn t handle merge conflicts currently if you try and merge an encrypted file it will break in a bad way instead if you need to merge in two config files you need to save the old config load the new one and merge them by hand to run with docker to run with docker first you must generate local secrets that will be read by the config py script that is copied into the app worker and pgbouncer cd config files python generate secrets py n local docker python generate secrets py n docker test docker compose f docker compose yml f docker compose dev yml up you may find it useful to add an alias to your bashrc or zshrc etc that aliases the docker compose command alias sempo cd path to repo docker compose f docker compose yml f docker compose dev yml alias sempoci cd path to repo docker compose f docker compose yml f docker compose ci yml | blockchain |
|
figma | primer for figma core libraries primer primitives internal https www figma com file b5xpe8iwgpizdavn7jqwqx node id 9 3a2 community file https www figma com community file 854766928300977832 primer web internal https www figma com file gcvy3qv8czrgzgvl1dg6lp primer web node id 136 3a1805 viewport 77 2c 235 2c0 5 community file https www figma com community file 854767373644076713 primer interfaces internal https www figma com file y2xjlfbru7yyidllekqxcf primer interfaces node id 0 3a1 viewport 663 2c490 2c0 6640625 octicons internal https www figma com file 1ljgtfkt5nknrfq5hw07jq octicons node id 0 3a1 viewport 664 2c488 2c1 community file https www figma com community file 809920999413919915 documentation information on how to use primer within figma lives in our design guidelines https primer style design guides figma you ll be able to find detailed documentation on how github uses figma community primer s component libraries shared styles and octicons can be found in the figma community at https www figma com primer contributions we re thrilled that you want to contribute to primer figma please make sure to read through our contribution guidelines contribution md and feel free to reach out if you need support help questions if you need help with the figma libraries or have questions about how to use them bugs or contributions reach out by creating an issue https github com primer figma issues new choose or via primer figma internal | figma figma-community primer | os |
frontend-starter | forthebadge http forthebadge com images badges 60 percent of the time works every time svg forthebadge http forthebadge com images badges built with love svg forthebadge http forthebadge com images badges uses html svg forthebadge http forthebadge com images badges uses css svg forthebadge http forthebadge com images badges uses git svg forthebadge http forthebadge com images badges uses js svg forthebadge http forthebadge com images badges powered by netflix svg forthebadge http forthebadge com images badges winter is coming svg http forthebadge com images badges check it out svg project template because web development doesn t need to be a pain the project template is the way to build static sites fast with one command build a static page using webpack webpack gulp gulp handlebars js handlebars and scss scss es6 features install the project in just three commands see developing below use handlebars js handlebars to keep our html organized into templates and partials use scss scss to keep our css organized into logical components use browsersync browsersync to automatically launch a development version of our website reload the page whenever we change the html and inject changes to css javascript and images with needing to reload use html minifier htmlmin and optimize our html css javascript and images respectively all with one command from the terminal bash yarn start setup bash npm install g gulp may require sudo developing bash yarn install one time gulp serve reminders if you want to use this repo for your next project make sure to make the following changes 1 edit data yml filling in the html metadata associated with your site 2 edit package json providing a name version description license and repository url 3 remove the git folder so that you start from a fresh commit history 4 edit readme md to your preference gulp commands an overview of gulp commands available gulp build builds the site into the dist directory this includes scss sourcemaps and autoprefixing js uglification handlebars to html gulp build optimized this is used for distributing an optimized version of the site for deployment it includes everything from gulp build as well as scss minification css js inline sourcing gulp watch watchs for changes in local files and rebuilds parts of the site as necessary into the dist directory gulp serve runs gulp watch in the background and serves the dist directory at localhost 3000 with automatic reloading using browsersync browsersync structure bash webpack config dev js controls javascript and css bundling gulpfile js controls gulp used for building the website readme md this file data yml metadata associated with the site dist gulp builds the static site into this directory package json dependencies src all source code assets css stylesheets font font files img images and svgs js javascript libraries and scripts views partials handlebars html partials that are included extended templates handlebars html files one per page on the site browsersync http www browsersync io gulp http gulpjs com handlebars http handlebarsjs com htmlmin https github com kangax html minifier imagemin https github com imagemin imagemin npm install https nodejs org en download scss http sass lang com webpack https webpack js org | starter-kit boilerplate static-site localdevelopment webpack2 sass browsersync | front_end |
LLM-Logbook | llm logbook a detailed collection of reports capturing the responses of various llms to diverse prompts dive into each page and explore how every unique model and settings combination performs about the project llm logbook serves as a collection of logs of observations documenting the intricate behaviors capabilities and patterns of different llms with a myriad of prompts we seek to dissect their range depth and potential intricacies structure reports individual reports for each model based on specific settings offering insights into the model s reactions to various prompts prompts these prompts span a spectrum from straightforward queries to elaborate scenarios painting a full picture of the model s capabilities how to navigate navigate to the github pages url https teknium1 github io llm logbook dive in and witness the diverse responses contributing open source projects thrive on collaboration your contributions can shape the future of llm logbook here s how you can contribute 1 fork the project 2 create your feature branch git checkout b feature yourfeature 3 commit your changes git commit m add some yourfeature 4 push to the branch git push origin feature yourfeature 5 open a pull request license this project is licensed under the mit license for more details check out the license file contact twitter teknium1 https x com teknium1 project link https github com yourusername llm logbook https github com yourusername llm logbook | ai |
|
OnsenUI | p align center a href https onsen io target blank img width 140 src https onsenui github io art logos onsenui logo 1 png a p p align center a href https circleci com gh onsenui onsenui img src https circleci com gh onsenui onsenui svg style shield alt circle ci a a href https badge fury io js onsenui img src https badge fury io js onsenui svg alt npm version a a href https cdnjs com libraries onsen img src https img shields io cdnjs v onsen svg alt cdnjs a p onsen ui https onsen io cross platform hybrid app and pwa framework onsen ui is an strong open source strong framework that makes it easy to create native feeling progressive web apps pwas and hybrid apps the core library is written in strong pure javascript strong on top of a href http webcomponents org web components a and is strong framework agnostic strong which means you can use it with your favorite framework and its tools we provide some extra binding packages to make it easy to use onsen ui s api with many popular frameworks table tbody tr td align center width 150 a href https onsen io react img src https onsen io images common icn react top svg height 40 br strong react strong a td td align center width 150 a href https onsen io angular2 img src https onsen io images common icn angular2 top svg height 40 br strong angular 2 strong a br td td align center width 150 a href https onsen io vue img src https onsen io images common icn vuejs top svg height 40 br strong vue strong a br td td align center width 150 a href https onsen io v2 docs guide angular1 index html img src https onsen io images common icn angular1 top svg height 40 br strong angularjs 1 x strong a br td tr tbody table some other frameworks are supported by community packages not tested or implemented by the core team aurelia https www npmjs com package aurelia onsenui emberjs https www npmjs com package ember onsenui both strong flat ios and material android designs strong are included the components are optionally auto styled based on the platform which makes it possible to support both ios and android with the strong same source code strong getting started we have several resources to help you get started creating hybrid apps and pwas with onsen ui the official docs we provide guides and references for all of the components and bindings as well as how to publish your app these are our getting started guides core guide no framework https onsen io v2 guide vue guide https onsen io v2 guide vue react guide https onsen io v2 guide react angular 2 guide https onsen io v2 guide angular2 angularjs 1 x guide https onsen io v2 guide angular1 jquery guide https onsen io v2 guide jquery creating an onsen ui hybrid app using cordova https onsen io v2 guide hybrid cordova html progressive web apps pwas with onsen ui https onsen io v2 guide pwa intro html components overview a list of included css components https onsen io v2 docs css html in both flat and material design note that these components are just pure and performant css without javascript behavior some extra details such as dragging or ripple effect are added by onsen ui custom elements playground an interactive onsen ui tutorial https onsen io playground where you can learn how to use onsen ui and play around with the components blog there are lots of great tutorials and guides published in our official onsen ui blog https onsen io blog categories tutorial html and we are adding new content regularly support if you are having trouble using some component the best place to get help is the onsen ui forum https community onsen io or the community run discord chat https discord gg jwhbbne we are also available to answer short questions on twitter at onsen ui https twitter com onsen ui get onsen ui download the latest released version we have a distribution repository https github com onsenui onsenui dist releases with changelog onsen ui is also available in npm and jspm example bash npm install onsenui this downloads the core onsen ui library to install bindings you can install react onsenui vue onsenui ngx onsenui or angularjs onsenui download or request from a cdn you can also take the necessary files from a cdn some of the options are unpkg https unpkg com onsenui jsdelivr https www jsdelivr com package npm onsenui and cdnjs https cdnjs com libraries onsen get the latest development build optionally you can download the latest development build here https onsenui github io latest build be careful usually everything there is already tested but it might be unstable sometimes examples with source code there are lots of sample applications written using onsen ui here are some examples https onsen io samples with source code and tutorials to give you an idea of what kind of apps you can create p align center a href https argelius github io angular2 onsenui pokedex target blank img src https onsen io images samples pokedex pikachu png a a href http argelius github io react onsenui redux weather demo html target blank img src https onsen io images samples react redux weather png a a href https frandiox github io onsenui youtube target blank img src https onsen io images samples youtube png a p onsen ui ecosystem because sometimes a ui framework may not be enough to make hybrid app development easy onsen ui comes with a complete ecosystem of well integrated tools meet monaca https monaca io p align center a href https monaca io target blank img width 300 src https onsenui github io art logos monaca logo 2 png a p developed by the onsen ui team monaca is a toolkit that makes hybrid mobile app development with phonegap cordova simple and easy onsen ui cordova templates debugging suite push notifications remote build back end solutions encryption version control continuous integration and more furthermore it provides multiple development environments with everything already configured and ready to go p align center a href https monaca io cloud html strong cloud ide strong a a href https monaca io cli html strong command line interface strong a a href https monaca io localkit html strong localkit gui strong a p example with cli sudo npm g install monaca monaca create helloworld and choose the starter template monaca preview preview on the browser monaca debug preview on a real device monaca remote build browser production build on the cloud see the onsen ui getting started page http onsen io v2 guide for more information browser support onsen ui is tested to work with the following browsers and mobile os android 4 4 4 ios 9 chrome safari contribution we welcome your contribution no matter how big or small please have a look at the contribution guide https github com onsenui onsenui blob master contributing md for details about project structure development environment test suite code style etc all the version updates are mentioned in the changelog https github com onsenui onsenui blob master changelog md | onsen-ui cordova react angular monaca hybrid-apps javascript webcomponents customelements vue material android ios html pwa | front_end |
iot-atlas | iot atlas this repository contains the content of the iot atlas http iotatlas net the iot atlas supports your project by explaining the why what and who of commonly used modern iot designs it would be great to have you join us and contribute https github com aws iot atlas blob main contributing md your ideas for designs considerations and examples please also read the faq https github com aws iot atlas blob main faq md local development please review the contributor development process https github com aws iot atlas blob main src readme md for instructions on testing local content license summary the documentation is made available under the creative commons attribution sharealike 4 0 international license see the license file the sample code within this documentation is made available under a modified mit license see the license samplecode file | iot design-patterns design-pattern cloud | server |
data-science-your-way | data science engineering your way join the chat at https gitter im jadianes data science your way https badges gitter im join 20chat svg https gitter im jadianes data science your way utm source badge utm medium badge utm campaign pr badge utm content badge an introduction to different data science engineering concepts and applications using python and r these series of tutorials on data science engineering will try to compare how different concepts in the discipline can be implemented in the two dominant ecosystems nowadays r and python we will do this from a neutral point of view our opinion is that each environment has good and bad things and any data scientist should know how to use both in order to be as prepared as posible for job market or to start personal project to get a feeling of what is going on regarding this hot topic we refer the reader to datacamp s data science war http blog datacamp com r or python for data analysis infographic their infographic explores what the strengths of r are over python and vice versa and aims to provide a basic comparison between these two programming languages from a data science and statistics perspective far from being a repetition from the previous our series of tutorials will go hands on into how to actually perform different data science taks such as working with data frames doing aggregations or creating different statistical models such in the areas of supervised and unsupervised learning we will use real world datasets and we will build some real data products this will help us to quickly transfer what we learn here to actual data analysis situations if your are interested in big data products then you might find interesting our series of tutorials on using apache spark and python https github com jadianes spark py notebooks or using r on apache spark sparkr https github com jadianes spark r notebooks tutorials this is a growing list of tutorials explaining concepts and applications in python and r introduction to data frames https github com jadianes data science your way blob master 01 data frames readme md an introduction to the basic data structure and how to use it in python pandas and r exploratory data analysis https github com jadianes data science your way blob master 02 exploratory data analysis readme md about this important task in any data science engineering project dimensionality reduction and clustering https github com jadianes data science your way blob master 03 dimensionality reduction and clustering readme md about using principal component analysis and k means clustering to better represent and understand our data text mining and sentiment classification https github com jadianes data science your way blob master 04 sentiment analysis readme md how to use text mining techniques to analyse the positive or non positive sentiment of text documents using just linear methods applications these are some of the applications we have built using the concepts explained in the tutorials a web based sentiment classifier using r and shiny https github com jadianes data science your way blob master apps sentimentclassifier readme md how to build a web applications where we can upload text documents to be sentiment analysed using the r based framework shiny http shiny rstudio com building data products with python https github com jadianes data science your way blob master apps winerama readme md using a wine reviews and recommendations website http jadianes koding io 8000 reviews as a leitmotif this series of tutorials with its own separate repository https github com jadianes winerama recommender tutorial tagged by lessons digs into how to use python technologies such as django pandas or scikit learn in order to build data products red wine quality data analysis with r https github com jadianes data science your way blob master apps wine quality data analysis readme md using r and ggplot2 we perform exploratory data analysis of this reference dataset about wine quality information retrieval algorithms with python https github com jadianes data science your way blob master apps information retrieval readme md where we show our own implementation of a couple of information retrieval algorithms vector space model and tf idf kaggle the analytics edge spring 2015 https github com jadianes data science your way blob master apps kaggle analytics edge 15 my solution to this kaggle competition it was part of the edx mooc the analitics edge https www edx org course analytics edge mitx 15 071x 0 i highly recommend this on line course it is one of the most applied i have ever taken about using r for data anlysis and machine learning contributing contributions are welcome for bug reports or requests please submit an issue https github com jadianes data science your way issues contact feel free to contact me to discuss any issues questions or comments twitter ja dianes https twitter com ja dianes github jadianes https github com jadianes linkedin jadianes https www linkedin com in jadianes website jadianes me http data jadianes com license this repository contains a variety of content some developed by jose a dianes and some from third parties the third party content is distributed under the license provided by those parties the content developed by jose a dianes is distributed under the following license copyright 2016 jose a dianes licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache org licenses license 2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license | data-science data-science-engineering tutorial data-frame exploratory-data-analysis r python jupyter notebook machine-learning | ai |
pawtucket | collectiveaccess pawtucket readme thanks for downloading collectiveaccess pawtucket version 1 4 pawtucket is general purpose public access publishing tool for collectiveaccess it provides an easy way to create web sites around data entered into collectiveaccess using the providence cataloguing tool pawtucket provides many features for displaying finding and interacting with collections information including 1 full text search with auto suggestion functionality 2 configurable faceted browse 3 ability to browse within search results aka refine your search 4 configurable detail displays for collection objects and all authorities you can show as much or as little information from your database as you want 5 support for features simple online exhibitions using curator defined sets system is extensible so you can define your own feature types 6 support for user created tags comments ratings and object slideshows 7 not object centric while objects are usually the focus of a collections front end with pawtucket they don t have to be you can search and browse in any authority in addition to collection objects this lets pawtucket work in specialized applications such as biographical catalogues people are the focus rather than objects and collection level archival finding aids collections are the focus rather than objects pawtucket is meant to be customized the download version includes a basic default theme that supports all functionality by editing the css stylesheet and system header and footer templates you can have pawtucket fit into most any existing design scheme how to install you can find installation instructions for pawtucket at http docs collectiveaccess org wiki installing pawtucket release notes are available at http docs collectiveaccess org wiki release notes for pawtucket 1 4 if you are updating an existing installation see http docs collectiveaccess org wiki upgrading pawtucket | front_end |
|
orlando-tech | orlando tech resources a collection of resources and information about orlando s technology and tech startup community network tech orlando tech association http orlandotech org ota is the leading voice and conduit for orlando s tech community orlando devs https orlandodevs com whether you love writing code or are just getting started you are welcome here orlando tech beers https www meetup com orlando tech and beer just people talking tech enjoying beer and the occasional key note speaker from technologists and investors startup tech startupgrind https www startupgrind com orlando startup grind is the largest independent startup community actively educating inspiring and connecting 1 000 000 entrepreneurs in over 200 cities starter studio ucf business incubator co work tech canvs https canvs org nonprofit coworking space for tech startups catalyst colab http colabusa com we stray away from the typical office cubical noisy coffee shop or distracting home office our goal is to promote collaboration and networking through a professional open desk policy engine spaces sbrubbles http sbrubbles biz a cozy unique professional yet affordable alternative to working from home pitch tech rollins business plan pitch ypo slingshot one million cups http www 1millioncups com orlando a weekly event for local entrepreneurs to present their startups to our thriving community in orlando parking coffee pastries and networks are always free learn tech code school https www codeschool com the interactive learning destination for aspiring and experienced developers pluralsight http www pluralsight com code school is a pluralsight company and its office is pluralsight s orlando office ucf coding bootcamp http www ce ucf edu program 5902 ucf coding boot camp tech jobs izea https izea com company careers apply to join izea saas platform for agencies and brands that automates multi type influencer and content marketing programs powerdms https www powerdms com about careers powerdms condenses cabinets full of paper into a single searchable online source luminar technologies https www luminartech com careers index html power every autonomous vehicle with the first lidar capable of making them both safe and scalable prpl purple rock scissors https purplerockscissors com innovative digital products and services deloitte https jobsus deloitte com orlando florida usa jobs global consulting agency disney https jobs disneycareers com yeah i mean its whatever ea https www ea com careers careers overview orlando roles games and stuff lockheed http search lockheedmartinjobs com listjobs bystate fl country us missiles and stuff | server |
|
llm-text-adventure | clarifai logo https www clarifai com hs fs hubfs logo clarifai clarifai 740x150 png width 240 clarifai chatbot module this module lets you chat with several large language models it has two main capabilities it proves how powerful and easy it is to integrate models provided by clarifai using streamlit langchain you can evaluate the responses from multiple llms and choose the one which best suits your purpose | ai |
|
SmartPlay | smartplay smartplay teaser assets img teaser png the smartplay repository is a benchmark and methodology for evaluating the abilities of large language models llms as agents it consists of six different games including rock paper scissors tower of hanoi and minecraft each featuring a unique setting that provides up to 20 evaluation settings and infinite environment variations the games in smartplay challenge a subset of nine important capabilities of an intelligent llm agent including reasoning with object dependencies planning ahead spatial reasoning learning from history and understanding randomness the distinction between the set of capabilities each game tests allows for the analysis of each capability separately smartplay serves as a rigorous testing ground for evaluating the overall performance of llm agents and as a roadmap for identifying gaps in current methodologies currently included games are rock paper scissors 2 armed bandit tower of hanoi messenger emma https github com ahjwang messenger emma crafter https github com danijar crafter minedojo creative tasks https github com minedojo minedojo tree main for more information please refer to the paper https arxiv org abs 2310 01557v2 table of contents introduction introduction games in smartplay games in smartplay getting started getting started using smartplay using smartplay citing smartplay citing smartplay contributing contributing legal notices legal notices games in smartplay a name games in smartplay a games in smartplay assets figures fig2 png getting started a name getting started a first consider setting up a conda environment by running conda env create name smartplay file environment yml smartplay requires minedojo please follow the official documentation https docs minedojo org sections getting started install html direct install to install minedojo first before proceeding then run pip install e for completeness we also provide conda environment scripts and requirements txt in the root directory using smartplay a name using smartplay a guidelines to use the benchmark are provided in examples experiments py to see all games available in the smartplay benchmark run the following code import smartplay print smartplay env list see minedojo documentation https github com minedojo minedojo blob main minedojo tasks description files creative tasks yaml for a description of the minedojo creative tasks citing smartplay a name citing smartplay a misc wu2023smartplay title smartplay a benchmark for llms as intelligent agents author yue wu and xuan tang and tom m mitchell and yuanzhi li year 2023 eprint 2310 01557 archiveprefix arxiv primaryclass cs lg contributing a name contributing a this project welcomes contributions and suggestions most contributions require you to agree to a contributor license agreement cla declaring that you have the right to and actually do grant us the rights to use your contribution for details visit https cla opensource microsoft com when you submit a pull request a cla bot will automatically determine whether you need to provide a cla and decorate the pr appropriately e g status check comment simply follow the instructions provided by the bot you will only need to do this once across all repos using our cla this project has adopted the microsoft open source code of conduct https opensource microsoft com codeofconduct for more information see the code of conduct faq https opensource microsoft com codeofconduct faq or contact opencode microsoft com mailto opencode microsoft com with any additional questions or comments legal notices a name legal notices a microsoft and any contributors grant you a license to the microsoft documentation and other content in this repository under the creative commons attribution 4 0 international public license https creativecommons org licenses by 4 0 legalcode see the license license file and grant you a license to any code in the repository under the mit license https opensource org licenses mit see the license code license code file microsoft windows microsoft azure and or other microsoft products and services referenced in the documentation may be either trademarks or registered trademarks of microsoft in the united states and or other countries the licenses for this project do not grant you rights to use any microsoft names logos or trademarks microsoft s general trademark guidelines can be found at http go microsoft com fwlink linkid 254653 privacy information can be found at https privacy microsoft com en us microsoft and any contributors reserve all other rights whether under their respective copyrights patents or trademarks whether by implication estoppel or otherwise | ai |
|
CoLLaM | author lihaitao date 2023 09 04 15 46 09 lasteditors do not edit lastedittime 2023 09 04 18 55 09 filepath lht github code collam readme md collam collam collam 6 25 collam memorization understanding logic inference discrimination generation ethic image figure taxonomy png memorization understanding logic inference discrimination generation ethic image figure task png sample accuracy 500 accuracy 1000 accuracy 50 accuracy 500 accuracy 50 accuracy 500 accuracy 500 accuracy 500 accuracy 1000 accuracy 1000 accuracy 500 accuracy 500 accuracy 50 accuracy 500 accuracy 500 accuracy 50 rouge l 1000 rouge l 1000 rouge l 50 rouge l 500 1000 1000 1000 cail http cail cipsc org cn api contributing datasets md collam liht22 mails tsinghua edu cn mit license license | ai |
|
mobile-game-dev | mobile game development this is the curriculum | front_end |
|
ECE387-Midterm | ece387 midterm repository of the midterm project on embedded systems design a two way communication using arduinos and bluetooth | os |
|
devtools | devtools smart bash scripts for web amp mobile development tools ubuntu 16 04 the most used web development tools in one place install dev tools after a fresh os installation usage download the script and move to the downloaded folder where devtools sh is placed then run the script sh cd devtools sudo chmod x devtools sh sudo bash devtools sh command syntax as the following devtools sh command name options you can always use the help command to see what could be used sh sudo bash devtools sh help commands amp options 1 utilities devtools comes bundeled with a bunch of useful utilities like git vim and other stuff check src utils sh to see what is included to install utilities use the command sh sudo bash devtools sh utils available options you can choose what jdk version you want to install 6 7 and 8 are supported jdk8 is default sh sudo bash devtools sh utils jdk version 8 you can choose what nodejs version you want to install 6 7 and 4 are supported nodejs 6 is default sh sudo bash devtools sh utils nodejs version 6 2 web development tools this command will help you install the web server and other related stuff like php composer and some other extensions to install web tools use the command sh sudo bash devtools sh web tools available options you can choose what web server you want to install only apache2 is supported for now more will be added sh sudo bash devtools sh web tools web server apache2 you can chose what php version you want to install php 7 2 is default sh sudo bash devtools sh web tools php version 7 2 3 database server this command will automatically install and configure the database server sh sudo bash devtools sh db available options you can choose what database server you want to install only mysql is supported for now more will be added sh sudo bash devtools sh db db server mysql you can chose the root password for your server sh sudo bash devtools sh db db pass 123456 4 mobile tools ionic framework this command will install cordova and ionic framework via npm globally note that if you did not install jdk or nodejs before this command will automatically install them so you can use jdk version and nodejs version options sh sudo bash devtools sh ionic 5 optional software installation the following commands are not included in default installation and you have to mention the command to install the software note that you can use multiple optional commands in one call google chrome to install google chrome use the following command sh sudo bash devtools sh chrome atom editor to install atom use the following command sh sudo bash devtools sh atom contribution every os version will have it s own branch as the commands and installation instructions may differ from one to another and it s easier for people to locate their version from branch selection just remember to edit the readme to match your script | bash bash-script ubuntu linux mac macosx devtools devops webdevelopment mobile-development shell shell-script | front_end |
MyUSM | myusm mobile app development repository this mobile app is developed mainly to solve a few problems in among the community of universiti sains malaysia the problems 1 no centralized information about the university 2 less popular clubs and societies goes unnoticed the solution this mobile app aims to centralize all the information announcements and events within a single app informations will not be more scattered around social media platforms anymore students does not need to go on to various social media platforms to obtain information the mobile app is still currently under development by the core team members of gdsc usm 2021 2022 | front_end |
|
STM32F7-CMake-FreeRTOS-Template | stm32f7 cmake freertos template on linux add the freertos static library to the stm32f7 cmake template you can see the stm32f7 cmake template https github com wangxian0718 stm32f7 cmake template | os |
|
Cybros-Web-Application | cybros https github com phunsukwangdu image blob master cybros jpg dub https img shields io dub l vibe d svg style flat join the chat https img shields io badge gitter join 20chat 20 e2 86 92 brightgreen svg https gitter im lnmiit computer club lobby cybros web application official web application of cybros website is live now https cybroslnmiit herokuapp com not updated since 2018 getting started prerequisites nodejs mongodb installing git clone https github com cybros cybros web application git cd cybros web application npm install configure database server open in new terminal window mongod deployment after configuring database server type code given below in terminal window other than the one in which mongod server is running npm start you must get something like this magic happens in port 3000 then go to http localhost 3000 managing data go to mongo terminal by typing mongo then use database named cybros in this all the user s data is saved in the collection named users or if you want to generate a csv file use mongoexport host localhost db cybros collection users csv out text csv fields username password email email config to configure signup authentication from email part you need to replace your email id with your email id and password with your password in routes signup js and possibly configure your email account s security options create administrator go to mongo terminal by typing mongo use the correct database by typing use cybros now you have to insert an admin data manually in mongodb and make sure you make hasaccess set to true as it is false by default db admins insert username yourusername password yourpassword hasaccess true admin panel can be accessed from http localhost 3000 admin built with nodejs https nodejs org en expressjs https expressjs com mongodb https www mongodb com jquery https jquery com bootstrap http getbootstrap com contributing practices commits write clear and meaningful git commit messages do read http chris beams io posts git commit make sure your pr s description contains github s special keyword references that automatically close the related issue when the pr is merged more info at https github com blog 1506 closing issues via pull requests when you make very very minor changes to a pr of yours like for example fixing a failing travis build or some small style corrections or minor changes requested by reviewers make sure you squash your commits afterward so that you don t have an absurd number of commits for a very small fix learn how to squash at https davidwalsh name squash commits git when you re submitting a pr for a ui related issue it would be really awesome if you add a screenshot of your change or a link to a deployment where it can be tested out along with your pr it makes it very easy for the reviewers and you ll also get reviews quicker join the development before you join development please set up the project on your local machine run it and go through the application completely if you would like to work on an issue drop in a comment at the issue if it is already assigned to someone but there is no sign of any work being done please feel free to drop in a comment so that the issue can be assigned to you if the previous assignee has dropped it entirely license this project is licensed under the mit license see the license md license md file for details | nodejs webapp handlebars | front_end |
Search-n-Learn_iOS | original app design project readme template search n learn table of contents 1 overview overview 1 product spec product spec 1 wireframes wireframes 2 schema schema overview description an app oriented towards kids learning about the outdoors this application displays the proposed animal species insect in the local area of a user inputted address location based on data collected by a series of api it also provides educational information in a collection view of various animals in the united states app evaluation evaluation of your app across the following attributes category educational mobile this application would primarily be presented as a mobile application as it is meant to be transportable with the user to identify different native species in visited areas such as on hikes it may offer limited functionality as a web application for users who want to educate themselves or others on hikes or trips ahead of time or for recreational interests story this application analyzes a user s location and offers a detailed view of information of the animals native to that area they can then store that information in their profiles or share it with friends users can also recreationally go and learn about the top 100 most frequent animals in the united states market targeting young learners interested in the environment and animals habit app can be used as often as they would like it would depend on how often they would like to identify some local species scope we would first start by using location based data to provide animals that are in the user s area the app would also offer an opportunity for anyone to learn about specific animals as well by selecting from a collection view product spec 1 user stories required and optional required must have stories x app shows a logo on launch x user can create an account and log in a location based map view with ability to input a location pictures with fun facts of local animals displayed for users to read up on personalized profile page for user profile pic saved searches and name optional nice to have stories saved list of animals in a collection fun quiz on animal user just looked at information for multiple tab views for switching between searching learning and saved information ability to keep track of animals seen and add personal pictures of animals seen 2 screen archetypes launch screen w logo login screen user signs up or logs into their account main map screen has address bar showcases a google maps map and drops a waypoint for the inputted chosen address put in the address bar has three navigation tabs on the bottom search learn and profile settings screen allows user to change language and application notification settings allows user to change region for showcasing the top 100 animals profile screen user able to change profile picture user able to see their saved list of animals photos user able to change their name and input their favorite hike location and favorite animal they ve seen learning screen showcases a selection of the top 100 animals in a specific continent detailed view of animals each animal would have a detailed view when a user clicks on its collection view portrait to display information about name habitat and other fun facts about the animal 3 navigation tab navigation tab to screen search main screen learn collection view of top 100 animals in a region profile profile picture saved animals pictures favorite animal hiking location flow navigation screen to screen launch screen login screen sign up confirmation main map screen search tab selected here learn tab learn screen detailed view screen of specific animal profile tab profile picture screen saved pictures gallery screen settings button top right corner settings screen language region settings wireframes add picture of your hand sketched wireframes in this section we did all of our wireframes in figma img src https hosting photobucket com images i tmcnutt22 screen shot 2021 11 01 at 7 35 37 pm png width 600 bonus digital wireframes mockups img src https hosting photobucket com images i tmcnutt22 screen shot 2021 11 01 at 7 35 37 pm png width 600 https hosting photobucket com images i tmcnutt22 screen shot 2021 11 01 at 7 35 37 pm png bonus interactive prototype schema this section will be completed in unit 9 models user table property type description userid number unique id for the user primary key email string username and email address of the user password string user s password that parse hides profilepic url string link to user s profile pic firstname string first name of the user lastname string last name of the user bio string paragraph of information the user provides collection of animals property type description primaryid number objectid primary key uniqueanimalid foreign key pointer dateseen datetime time user seen saved animal userid foreign key number collection of animals information property type description uniqueanimalid string species name animalname string name of animal animalimage string url to image animalinfo string information from wiki api posting of pictures property type description objectid string unique id for the post author pointer to user author of the pic animal pointer to animal image string file image that user creates caption string image caption by author commentscount number number of comments posted to a pic likescount number number of likes for a picture createdat datetime time the post was created updatedat datetime time the post was last edited networking login post user create user account localanimals post user saved animal and facts myanimals get user saved animals delete delete a post update edit a post user profile get user details post user details create basic snippets for each parse network request swift create a user var user pfuser user username usernamefield text user password passwordfield text user email email example com user signupinbackground success error in if success self performsegue else print error string describing error localizeddescription swift saved animal and facts var parseobject pfobject classname animalcollection parseobject animal animal to be saved parseobject information info to be save parseobject dateseen datetimenow saves the new object parseobject saveinbackground success bool error error in if success the object has been saved else there was a problem check error description swift get user saved animals var query pfquery classname myanimals query getobjectinbackgroundwithid parse object id parseobject pfobject error nserror void in if error nil parseobject nil print parseobject else print error swift edit a post var query pfquery classname myanimals query getobjectinbackgroundwithid parse object id parseobject pfobject error nserror void in if error nil print error else if parseobject nil parseobject animal animal to be saved parseobject information info to be save parseobject updatedat datetimenow parseobject saveinbackground swift deleted saved animal var deleteattributesonly true var query pfquery classname animalcollection query getobjectinbackgroundwithid parse object id parseobject pfobject error nserror void in if error nil print error else if parseobject nil if deleteattributesonly parseobject saveinbackground else parseobject deleteinbackground swift get user details var query pfquery classname mycustomclassname query getobjectinbackgroundwithid parse object id parseobject pfobject error nserror void in if error nil parseobject nil print parseobject else print error swift update update user details var query pfquery classname mycustomclassname query getobjectinbackgroundwithid parse object id parseobject pfobject error nserror void in if error nil print error else if parseobject nil parseobject firstname firstname parseobject lastname lastname parseobject profilepic url parseobject bio biography parseobject saveinbackground optional list endpoints if using existing api such as yelp sprint 1 gif s here s a walkthrough of implemented user stories login and logout img src http g recordit co thrratfrwn gif title video walkthrough width alt video walkthrough navigate through the view controllers img src http g recordit co y5yyh4kpmo gif title video walkthrough width alt video walkthrough | front_end |
|
CS224n | cs224n cs224n natural language processing with deep learning assignments winter 2017 requirements python 2 7 tensorflow r1 2 assignment 1 1 softmax 2 neural network basics 3 word2vec q3 word vectors http wx2 sinaimg cn large 006fmjmcly1fgydqi2vq4j30m80godgi jpg 4 sentiment analysis q4 reg v acc http wx1 sinaimg cn large 006fmjmcly1fgydrwwnsbj30m80godgn jpg q4 dev conf http wx1 sinaimg cn large 006fmjmcly1fgydrmd0wtj30m80gojrx jpg assignment 2 1 tensorflow softmax 2 neural transition based dependency parsing 924 924 49s train loss 0 0631 evaluating on dev set dev uas 88 54 new best dev uas saving model in data weights parser weights testing restoring the best model weights found on the dev set final evaluation on test set test uas 88 92 writing predictions done 3 recurrent neural networks language modeling unrolled rnn http wx3 sinaimg cn large 006fmjmcly1fgzqfm9p4xj30p60bbdgu jpg assignment 3 1 a window into ner debug token level confusion matrix go gu per org loc misc o per 2968 26 84 16 55 org 147 1621 131 65 128 loc 48 88 1896 26 36 misc 37 40 54 1030 107 o 42 46 18 39 42614 debug token level scores label acc prec rec f1 per 0 99 0 92 0 94 0 93 org 0 99 0 89 0 77 0 83 loc 0 99 0 87 0 91 0 89 misc 0 99 0 88 0 81 0 84 o 0 99 0 99 1 00 0 99 micro 0 99 0 98 0 98 0 98 macro 0 99 0 91 0 89 0 90 not o 0 99 0 89 0 87 0 88 info entity level p r f1 0 82 0 85 0 84 2 recurrent neural nets for ner debug token level confusion matrix go gu per org loc misc o per 2987 32 47 12 71 org 136 1684 90 70 112 loc 39 83 1907 21 44 misc 43 45 47 1031 102 o 36 56 15 34 42618 debug token level scores label acc prec rec f1 per 0 99 0 92 0 95 0 93 org 0 99 0 89 0 80 0 84 loc 0 99 0 91 0 91 0 91 misc 0 99 0 88 0 81 0 85 o 0 99 0 99 1 00 0 99 micro 0 99 0 98 0 98 0 98 macro 0 99 0 92 0 89 0 91 not o 0 99 0 90 0 88 0 89 info entity level p r f1 0 85 0 86 0 85 3 grooving with grus q3 noclip rnn http wx2 sinaimg cn large 006fmjmcly1fh6mpycoobj30hs0dcmxt jpg q3 clip rnn http wx1 sinaimg cn large 006fmjmcly1fh6mq3kxzqj30hs0dcdgh jpg q3 noclip gru http wx2 sinaimg cn large 006fmjmcly1fh6mq9pbitj30hs0dcgmc jpg q3 clip gru http wx2 sinaimg cn large 006fmjmcly1fh6mqdhyb7j30hs0dcjs6 jpg debug token level confusion matrix go gu per org loc misc o per 2920 41 57 12 119 org 101 1716 73 64 138 loc 22 95 1908 16 53 misc 37 45 53 1017 116 o 21 67 14 39 42618 debug token level scores label acc prec rec f1 per 0 99 0 94 0 93 0 93 org 0 99 0 87 0 82 0 85 loc 0 99 0 91 0 91 0 91 misc 0 99 0 89 0 80 0 84 o 0 99 0 99 1 00 0 99 micro 0 99 0 98 0 98 0 98 macro 0 99 0 92 0 89 0 90 not o 0 99 0 91 0 88 0 89 info entity level p r f1 0 86 0 85 0 85 4 easter egg hunt run python q3 gru py dynamics to unfold your candy eggs references cs224n official website http web stanford edu class cs224n index html many code snippets come from https github com rymc9384 deepnlp cs224n https github com gxlzj cs224n hw3 | cs224n deep-learning natural-language-processing word2vec rnn tensorflow | ai |
design-system | priceline design system node js ci https github com priceline design system workflows node js 20ci badge svg coverage coverage badge coverage npm version npm version npm version total alerts https img shields io lgtm alerts g priceline design system svg logo lgtm logowidth 18 https lgtm com projects g priceline design system alerts language grade javascript https img shields io lgtm grade javascript g priceline design system svg logo lgtm logowidth 18 https lgtm com projects g priceline design system context javascript bundlephobia badge storybook https cdn jsdelivr net gh storybookjs brand master badge badge storybook svg storybook sh npm install pcln design system contributing if you d like to contribute to the design system we d love to have your help if you work at priceline com please join the design system slack channel and let us know what you d like to work on for all contributors please be sure to read the contributing contributing md doc documentation docs site storybook storybook motivation to create a consistently great experience for our users the design system is meant to be the single source of truth for user interface standards for both designers and developers built off of the work of previous efforts this project intends to consolidate those ideas into a living well documented and growing system goals the core goals of this project are to speed up design and development velocity help create consistent beautiful and usable ui in our applications promote best practices for accessibility internationalization and responsive web design we hope to accomplish these goals by reducing the number of decisions needed when iterating on ui reducing the amount of code duplication in our apps serving as the standard for priceline com s visual language providing easy to use and extensible components for anyone to consume mit license license md all contributors list start do not remove or modify this section prettier ignore start markdownlint disable table tr td align center a href https github com haasalex16 img src https avatars3 githubusercontent com u 10518812 v 4 width 100px alt alex haas br sub b alex haas b sub a br a href https github com priceline design system commits author haasalex16 title code a td td align center a href http www agustinbautista com img src https avatars0 githubusercontent com u 5533800 v 4 width 100px alt agustin bautista br sub b agustin bautista b sub a br a href https github com priceline design system commits author abautist title code a td td align center a href http www barrymcgee co uk img src https avatars0 githubusercontent com u 505570 v 4 width 100px alt barry mcgee br sub b barry mcgee b sub a br a href https github com priceline design system commits author barrymcgee title code a td td align center a href https linkedin com in benicheni img src https avatars2 githubusercontent com u 6441326 v 4 width 100px alt benjamin chen br sub b benjamin chen b sub a br a href https github com priceline design system commits author benicheni title code a td td align center a href https github com bertya img src https avatars3 githubusercontent com u 9540294 v 4 width 100px alt bing bai br sub b bing bai b sub a br a href https github com priceline design system commits author bertya title code a td td align center a href https jxnblk com img src https avatars2 githubusercontent com u 3451712 v 4 width 100px alt brent jackson br sub b brent jackson b sub a br a href https github com priceline design system commits author jxnblk title code a td td align center a href https github com broox9 img src https avatars1 githubusercontent com u 370264 v 4 width 100px alt brookes stephens br sub b brookes stephens b sub a br a href https github com priceline design system commits author broox9 title code a td tr tr td align center a href https github com byrekt img src https avatars2 githubusercontent com u 1385339 v 4 width 100px alt byron mitchell br sub b byron mitchell b sub a br a href https github com priceline design system commits author byrekt title code a td td align center a href https github com jinchi2013 img src https avatars0 githubusercontent com u 15325954 v 4 width 100px alt chi jin br sub b chi jin b sub a br a href https github com priceline design system commits author jinchi2013 title code a td td align center a href https github com donnobot img src https avatars2 githubusercontent com u 1270178 v 4 width 100px alt chris donnelly br sub b chris donnelly b sub a br a href https github com priceline design system commits author donnobot title code a td td align center a href http chrisdroukas com img src https avatars0 githubusercontent com u 1759514 v 4 width 100px alt chris droukas br sub b chris droukas b sub a br a href https github com priceline design system commits author chrisdroukas title code a td td align center a href https unscsprt github com img src https avatars1 githubusercontent com u 3260642 v 4 width 100px alt craig palermo br sub b craig palermo b sub a br a href https github com priceline design system commits author unscsprt title code a td td align center a href https danielgiraldo com img src https avatars1 githubusercontent com u 11232323 width 100px alt danny giraldo br sub b danny giraldo b sub a br a href https github com priceline design system commits author dgiraldo313 title code a td td align center a href https github com daljeetk img src https avatars3 githubusercontent com u 32394093 v 4 width 100px alt daljeetk br sub b daljeetk b sub a br a href https github com priceline design system commits author daljeetk title code a td td align center a href http evanpipta com img src https avatars3 githubusercontent com u 9023427 v 4 width 100px alt evan pipta br sub b evan pipta b sub a br a href https github com priceline design system commits author 747823 title code a td tr tr td align center a href https github com degron img src https avatars0 githubusercontent com u 14366048 v 4 width 100px alt evgenii bezpalko br sub b evgenii bezpalko b sub a br a href https github com priceline design system commits author degron title code a td td align center a href https github com cenjennifer img src https avatars3 githubusercontent com u 6467349 v 4 width 100px alt jennifer cen br sub b jennifer cen b sub a br a href https github com priceline design system commits author cenjennifer title code a td td align center a href https github com jes708 img src https avatars3 githubusercontent com u 16601510 v 4 width 100px alt jonathan schwarz br sub b jonathan schwarz b sub a br a href https github com priceline design system commits author jes708 title code a td td align center a href https github com lauradhahn img src https avatars1 githubusercontent com u 2086094 v 4 width 100px alt lauradhahn br sub b lauradhahn b sub a br a href https github com priceline design system commits author lauradhahn title code a td td align center a href https github com msafari img src https avatars0 githubusercontent com u 5679105 v 4 width 100px alt maedeh safari br sub b maedeh safari b sub a br a href https github com priceline design system commits author msafari title code a td td align center a href https github com hakimelek img src https avatars1 githubusercontent com u 1974993 v 4 width 100px alt malek hakim br sub b malek hakim b sub a br a href https github com priceline design system commits author hakimelek title code a td td align center a href http www rinakrevat com img src https avatars1 githubusercontent com u 1365995 v 4 width 100px alt rina krevat br sub b rina krevat b sub a br a href https github com priceline design system commits author krevat title code a td tr tr td align center a href https github com ronhenderson img src https avatars1 githubusercontent com u 5322552 v 4 width 100px alt ronhenderson br sub b ronhenderson b sub a br a href https github com priceline design system commits author ronhenderson title code a td td align center a href https github com sagarkaurav img src https avatars0 githubusercontent com u 8871080 v 4 width 100px alt sagar kaurav br sub b sagar kaurav b sub a br a href https github com priceline design system commits author sagarkaurav title code a td td align center a href https github com sivdahlberg img src https avatars3 githubusercontent com u 15033101 v 4 width 100px alt sivdahlberg br sub b sivdahlberg b sub a br a href https github com priceline design system commits author sivdahlberg title code a td td align center a href https github com sdalonzo img src https avatars0 githubusercontent com u 2132853 v 4 width 100px alt steve dalonzo br sub b steve dalonzo b sub a br a href https github com priceline design system commits author sdalonzo title code a td td align center a href https github com stephensulik img src https avatars2 githubusercontent com u 2953256 v 4 width 100px alt stephen sulik br sub b stephen sulik b sub a br a href https github com priceline design system commits author stephensulik title code a td td align center a href https github com tfquirk img src https avatars githubusercontent com tfquirk width 100px alt timothy quirk br sub b timothy quirk b sub a br a href https github com priceline design system commits author tfquirk title code a td td align center a href https github com tornglintaffychen img src https avatars1 githubusercontent com u 16071129 v 4 width 100px alt torng lin taffy chen br sub b torng lin taffy chen b sub a br a href https github com priceline design system commits author tornglintaffychen title code a td tr tr td align center a href http scottgary com img src https avatars3 githubusercontent com u 45636494 v 4 width 100px alt sqott br sub b sqott b sub a br a href https github com priceline design system commits author sqott title code a td td align center a href https lundgren tech img src https avatars2 githubusercontent com u 862774 v 4 width 100px alt tobias lundgren br sub b tobias lundgren b sub a br a href https github com priceline design system commits author lundgren2 title code a td td align center a href https github com zerodom30 img src https avatars0 githubusercontent com u 3496298 v 4 width 100px alt dom g br sub b dom g b sub a br a href https github com priceline design system commits author zerodom30 title code a td td align center a href https github com unixchad img src https avatars1 githubusercontent com u 3157593 v 4 width 100px alt kyle pollock br sub b kyle pollock b sub a br a href https github com priceline design system commits author unixchad title code a td td align center a href https github com james300 img src https avatars0 githubusercontent com u 9325039 v 4 width 100px alt james300 br sub b james300 b sub a br a href https github com priceline design system commits author james300 title code a td tr table markdownlint enable prettier ignore end all contributors list end coverage https codecov io github priceline design system coverage badge https img shields io codecov c github priceline design system svg style flat square npm version https img shields io npm v pcln design system svg style flat square site https priceline github io design system storybook https main 5a85e56213417800200978ab chromatic com bundlephobia badge https badgen net bundlephobia minzip pcln design system color cyan | design-system priceline react styled-components styled-system components ui javascript design-systems css css-in-js | os |
NLP-Sentiment | nlp sentiment and recommendation system final project for eecs 731 data science project organization license readme md the top level readme for developers using this project data external data from third party sources interim intermediate data that has been transformed processed the final canonical data sets for modeling raw the original immutable data dump notebooks jupyter notebooks naming convention is a number for ordering sentiment prediction sentiment prediction recommendation recommendation system visualization notebooks visualization notebooks models trained and serialized models model predictions or model summaries reports generated analysis as html pdf latex etc figures generated graphics and figures to be used in reporting project objective the goal of this project is as follows 1 binary and multi class sentiment analysis and 2 movie recommendation system this readme first goes through the sentiment analysis part followed by discussion on recommendation system in the second part overall outline of the project is given as follows img src figs outline png width 800 binary and multi class sentiment analysis system used datasets we have used two datasets for sentiment analysis task ul li imdb reviews dataset with binary sentiment labels positive negative reviews 3 li li tweets dataset with 3 way sentiment labels pleasant unpleasant neutral 5 li ul for the sentiment analysis part we have used two approaches ul li machine learning approach li deployed nlp models ul machine learning approach there are two models used for sentiment analysis and classification under normal machine learning approach ul li random forest li logistic regression ul random forest random forest is the collection of many decision trees where at each candidate split in the learning process a random subset of the features is taken we have used this techinque to see the overall important words for classification of sentiments logistic regression logistic regression is one of the effective model for linear classification problems logistic regression provides the weights of each features that are responsible for discriminating each class below are the word cloud visualization for imdb datasets using random forest and logistic regression img src reports wordcloud wordcloudafterclassifier png width 200 important words for sentiment classification img src reports wordcloud wordcloudlogregressionpos png width 200 important words for positive class img src reports wordcloud wordcloudlogregressionneg png width 200 important words for negative class below are the word cloud visualization for twitter using logistic regression img src reports wordcloudtwitter neturalbalanced png width 200 important words for neutral class img src reports wordcloudtwitter pleasantbalanced png width 200 important words for pleasant class img src reports wordcloudtwitter unpleasantbalanced png width 200 important words for unpleasant class deployed nlp models for sentiment analysis modeling we have employed three deep nlp based models as follows ol li recurrent neural network rnn based aka the baseline li li your average sentiment network aka avgnet li li convolutional neural network cnn based aka cnet li ol next we briefly explain these three models and their training and evaluation details 1 recurrent neural network rnn based aka the baseline this is the first nlp based model for sentiment analysis task it consists of recurrent neural network rnn based nodes with learnable parameters first each word is vectorized using a dictionary vector followed by passing through the 100 d per word embedding layer then we have rnn nodes outputting hidden state next layer input finally the last hidden state output passes through the fully connected fc layer to yield the sentiment result img src figs the baseline2 png width 700 2 your average sentiment network aka avgnet this model works similar to the above except it uses global average pooling insted of rnn nodes consequently it works faster and detailed in this paper 1 img src figs bigrams model png width 700 3 convolutional neural network cnn based aka cnet this model uses convolutional neural network cnn absed approach instead of conventional nlp rnn method but still very effective as shown in the evaluation and performance section later this model has been taken from this paper 2 img src figs cnn model png width 700 nlp models hyper parameters all three nlp models baseline avgnet cnet have been trained using pre defined hyper paramters as listed in following table it may be noted that these hyper parameters have been selected after performing several ablation experiments using orthogonalization process img src figs train graphs hyper params png width 600 nlp models on imdb reviews binary sentiment dataset imdb reviews dataset is a binary sentiment dataset with two labels positive negative above three nlp models are trained and evaluated on imdb reviews dataset separately following graphs show their training loss and training accuracy graphs first one by one img src figs train graphs baseline train png width 700 img src figs train graphs model1 train png width 700 img src figs train graphs model2 train png width 700 their evaluation details are as follows img src figs train graphs eval test both png width 600 as shown above the baseline is not doing very good in training and testing phases avgnet and cnet shine with good accuracy and other evaluation metrics the code and other details for these three models are given separately in three notebooks in the notebooks sentiment prediction reviews dataset directory imdb reviews dataset automated wordcloud generation using nlp models once we have the models trained and evaluated here we analyze and compare the word cloud for both sentiments positive negative with the ground truth word cloud for both sentiments each two rows below shows the comparison of ground truth word cloud and our three nlp models respectively recurrent neural network rnn based aka the baseline img src figs wordclouds wcloud baseline1 png width 700 your average sentiment network aka avgnet img src figs wordclouds wcloud model1 png width 700 convolutional neural network cnn based aka cnet img src figs wordclouds wcloud model2 png width 700 nlp models on tweets multi class sentiment dataset tweets dataset is a multi class 3 way sentiment tweets dataset with 3 labels pleasant unpleasant neutral since the avgnet gave one of the best results so to avoid redundancy we only trained and evaluated avgnet on tweets dataset following graphs show the avgnet training loss and training accuracy graphs first on tweets dataset img src figs train graphs model1 train tweets png width 700 avgnet again gives reasonable acurracy precision and recall values of 92 51 0 93 and 0 93 respectively the code and other details for this avgnet are given in the notebook in the notebooks sentiment prediction tweets dataset directory word cloud for all three sentiment labels are shown below and also being compared with their ground truth in each of the below row img src figs wordclouds wcloud model1 tweets png width 700 recommendation system first we scraped omdbapi api do derive more features for the recommendation system api link http www omdbapi com omdbapi api is an open api which provides a dataset of imdb movies with numerous features we have selected genres and ratings as these features made more sense than the features like say language as shown in the following diagram it doesn t make much sense to select language as there are far more english movies as compared to other languages img src figs recommendation languages png width 700 we used following three models for the movie recommendation system ul li k means clustering li li agglomerative clustering li li dbscan clustering li ul conclusion we performed two different tasks during this project binary multi class sentiment analysis and movies recommendation system during seniment analysis task we tried both conventional machine learning algorithms logistic regression random forest as well as current state of the art deep learning based nlp methods rnn baseline avgnet cnet we observed that both types of methods perform pretty effective with reasonable results and accuracy also the automated wordcloud plots give valuable insights about the sentiment present in the used datasets the automated sentiment extraction process from movie reviews or tweets can prove really helpful for businesses in improving their products based on customer s reviews and feedback with much efficiency and effectivness references 1 https arxiv org pdf 1607 01759 pdf 2 https arxiv org pdf 1408 5882 pdf 3 https ai stanford edu amaas data sentiment 4 https github com bentrevett pytorch sentiment analysis 5 https github com tlkh text emotion classification | ai |
|
phoenix-rtos-tests | phoenix rtos tests | os |
|
perseus | h1 align center perseus h1 book https img shields io badge book framesurge sh informational style for the badge https framesurge sh perseus en us docs api docs https img shields io docsrs perseus label api 20docs style for the badge https docs rs perseus crate page https img shields io crates v perseus style for the badge https crates io crates perseus top language https img shields io github languages top framesurge perseus style for the badge discord chat https img shields io discord 820400041332179004 label discord style for the badge https discord gg pgwpn7dkek perseus is a blazingly fast frontend web development framework built in rust with support for generating page state at build time request time incrementally or whatever you d like it supports reactivity using sycamore https github com sycamore rs sycamore and builds on it to provide a fully fledged framework for developing modern apps supports static generation serving only static resources supports server side rendering serving dynamic resources supports revalidation after time and or with custom logic updating rendered pages supports incremental regeneration build on demand open build matrix use any rendering strategy with anything else cli harness that lets you build apps with ease and confidence full i18n support out of the box with fluent https projectfluent org lighthouse scores of 100 on desktop and over 95 on mobile support for hot state reloading reload your entire app s state after you make any code changes in development perseus is the only framework in the world that can do this to our knowledge what s it like here s a taste of perseus see the tiny example https github com framesurge perseus tree main examples comprehensive tiny for more rust ignore use perseus prelude use sycamore prelude perseus main perseus axum dflt server pub fn main g html perseusapp g perseusapp new template template build index view cx view cx p hello world build check out the book https framesurge sh perseus en us docs to learn how to turn that into your next app quick start if you want to start working with perseus right away run the following commands and you ll have a basic app ready in no time or more accurately after cargo compiles everything shell cargo install perseus cli perseus new my app cd my app perseus serve w then hop over to http localhost 8080 and see a placeholder app in all its glory if you change some code that ll automatically update reloading the browser all by itself this rebuilding might take a while though see here https framesurge sh perseus en us docs next fundamentals compilation times for how to speed things up aim support every major rendering strategy and provide developers the ability to efficiently create super fast apps with rust and a fantastic developer experience motivation there is a sore lack of rust frameworks for frontend development that support more than just spas and client side rendering and so perseus was born we need something like nextjs for wasm but why stop there contributing we appreciate all kinds of contributions check out our contributing guidelines https github com framesurge perseus blob main contributing md for more information also please be sure to follow our code of conduct https github com framesurge perseus blob main code of conduct md you can also chat about perseus on our channel on sycamore s discord server https discord com invite gnqwywntdp perseus wouldn t be posible without the hard work of all these wonderful people a href https github com framesurge perseus graphs contributors img src https contrib rocks image repo framesurge perseus a license see license https github com framesurge perseus blob main license | rust ssr ssg isomorphic transitional-app | front_end |
Social-media-web-app | social media web app p align center img src https user images githubusercontent com 84091455 208230388 5ca38084 1973 49fd 883a bbdb4f51d3a6 png height 200 p br p align center a href https codeclimate com github pkini2002 social media web app maintainability img src https api codeclimate com v1 badges b79b9943a5cb4340c05f maintainability a a href https codeclimate com github pkini2002 social media web app test coverage img src https api codeclimate com v1 badges b79b9943a5cb4340c05f test coverage a p p align center a href https www python org img src https forthebadge com images badges made with python svg border 0 title made with python p p align center a href http www djangoproject com img src https www djangoproject com m img badges djangopowered126x54 gif border 0 alt powered by django title powered by django a p pages login page signup page create profile page edit profile page create post page delete post page update post page password reset page feed home page user profile page search results page post comment page features follow unfollow users like unlike the posts download the post images comment on user posts user suggestion section search users through the search bar tools and techs backend framework django br br front end bootstrap scss html css javascript br br database sqlite3 br br installation 1 fork the repo https github com pkini2002 social media web app clone the repo to your local system git git clone https github com pkini2002 social media web app git cd social media web app make sure you have python installed on your system 2 create a virtual environment for the project if u don t have a virtualenv installed bash pip install virtualenv for windows users bash virtualenv env env scripts activate for linux users bash virtualenv env source env scripts activate if you are giving a different name than env mention it in gitignore first 3 install all the requirements bash pip install r requirements txt bash cd socials 4 make migrations create db sqlite3 bash python manage py makemigrations python manage py migrate 5 create a super user this is to access admin panel and admin specific pages djangotemplate python manage py createsuperuser enter your username email and password 6 run server bash python manage py runserver snapshots 1 signup page signup page https user images githubusercontent com 84091455 208101528 a448872c 6e8c 4f9e b287 1c64a58d0c6f png 2 login page login page https user images githubusercontent com 84091455 208101465 29c16377 81a7 47c5 a051 c5ca103994a2 png 3 home feed page home page https user images githubusercontent com 84091455 208101566 beb72751 bfe6 4d4e 939a 09352b517206 png 4 comment display comment display https user images githubusercontent com 84091455 208101614 3500b844 f657 494f b998 9bde17824aeb png 5 profile pages user profile show profile https user images githubusercontent com 84091455 208101687 2ed8cc97 7e6b 4f65 b7cc d0aaae732d14 png other s profile 127 0 0 1 8000 4 profile nest hub https user images githubusercontent com 84091455 208229214 687fcdea 72a0 4f86 afc4 1253629006e8 png 6 search result users page search result https user images githubusercontent com 84091455 208101657 497a2549 c882 4a50 93eb fcd261201a13 png 7 create a user profile page create user profile https user images githubusercontent com 84091455 208101772 e022f7ee 5c8f 4799 b0be b5d43effd1d9 png | css django html5 bootstrap5 scss social-media-website | front_end |
Home-Cloud-Storage | home cloud storage the system is out dated and will be updated soon | cloud |
|
KG-LLM-Papers | kg llm papers awesome https awesome re badge svg https github com zjukg kg llm papers license mit https img shields io badge license mit green svg https github com zjukg kg llm papers blob main license https img shields io github last commit zjukg kg llm papers color green https img shields io badge prs welcome red what can llms do for kgs or in other words what role can kg play in the era of llms this repository collects papers integrating knowledge graphs kgs and large language models llms welcome to recommend missing papers through adding issues or pull requests details of summary and classification of papers are shown in wiki https github com zjukg kg llm papers wiki news 2023 10 we preprint our paper making large language models perform better in knowledge graph completion https arxiv org abs 2310 06671 and release the repo https github com zjukg kopa 2023 06 we create this repository to maintain a paper list on intergrating knowledge graphs and large language models todo 1 fine grained classification of papers 2 update paper project code 3 wiki page for brief paper introduction content papers papers surveys surveys methods methods resources resources and benchmarking papers surveys arxiv https arxiv org abs 2310 07521 survey on factuality in large language models knowledge retrieval and domain specificity 2023 10 arxiv https arxiv org abs 2310 04835 on the evolution of knowledge graphs a survey and perspective 2023 10 arxiv https arxiv org pdf 2309 17122 benchmarking the abilities of large language models for rdf knowledge graph creation and comprehension how well do llms speak turtle 2023 09 arxiv https arxiv org abs 2309 01029 explainability for large language models a survey 2023 09 arxiv https arxiv org abs 2308 14217 generations of knowledge graphs the crazy ideas and the business impact 2023 08 arxiv https arxiv org abs 2308 06374 large language models and knowledge graphs opportunities and challenges 2023 08 arxiv https arxiv org pdf 2306 08302 unifying large language models and knowledge graphs a roadmap 2023 06 repo https github com rmanluo awesome llm kg arxiv https arxiv org pdf 2306 11489 pdf chatgpt is not enough enhancing large language models with knowledge graphs for fact aware language modeling 2023 06 arxiv https arxiv org abs 2211 05994 a survey of knowledge enhanced pre trained language models 2023 05 methods arxiv https arxiv org abs 2310 11638 systematic assessment of factual knowledge in large language models 2023 10 arxiv https arxiv org abs 2310 11220 kg gpt a general framework for reasoning on knowledge graphs using large language models 2023 10 arxiv https arxiv org abs 2310 10445 mechgpt a language based strategy for mechanics and materials modeling that connects knowledge across scales disciplines and modalities 2023 10 arxiv https arxiv org abs 2310 09089 qilin med multi stage knowledge injection advanced medical large language model 2023 10 arxiv https arxiv org abs 2310 08975 chatkbqa a generate then retrieve framework for knowledge base question answering with fine tuned large language models 2023 10 arxiv https arxiv org abs 2310 08487 graphextqa a benchmark for evaluating graph enhanced large language models 2023 10 arxiv https arxiv org abs 2310 08365 from large language models to knowledge graphs for biomarker discovery in cancer 2023 10 arxiv https arxiv org abs 2310 06671 making large language models perform better in knowledge graph completion 2023 10 arxiv https arxiv org abs 2310 08279 cp kgc constrained prompt knowledge graph completion with large language models 2023 10 arxiv https arxiv org abs 2310 07170 phalm building a knowledge graph from scratch by prompting humans and a language model 2023 10 arxiv https arxiv org abs 2310 03269 instructprotein aligning human and protein language via knowledge instruction 2023 10 arxiv https arxiv org abs 2310 02166 large language models meet knowledge graphs to answer factoid questions 2023 10 arxiv https arxiv org abs 2310 01290 knowledge crosswords geometric reasoning over structured knowledge with large language models 2023 10 arxiv https arxiv org abs 2310 01061 reasoning on graphs faithful and interpretable large language model reasoning 2023 10 arxiv https arxiv org abs 2310 00299 relbert embedding relations with language models 2023 10 arxiv https arxiv org abs 2309 17122 benchmarking the abilities of large language models for rdf knowledge graph creation and comprehension how well do llms speak turtle 2023 09 arxiv https arxiv org pdf 2309 16134 let s chat to find the apis connecting human llm and knowledge graph through ai chain 2023 09 arxiv https arxiv org pdf 2309 15427 graph neural prompting with large language models 2023 09 arxiv https arxiv org abs 2309 12132 a knowledge representation approach for construction contract knowledge modeling 2023 09 arxiv https arxiv org abs 2309 11206 retrieve rewrite answer a kg to text enhanced llms framework for knowledge graph question answering 2023 09 arxiv https arxiv org abs 2309 08594 merge conflicts exploring the impacts of external distractors to parametric knowledge graphs 2023 09 arxiv https arxiv org abs 2309 04565 unleashing the power of graph learning through llm based autonomous agents 2023 09 arxiv https arxiv org abs 2309 00240 factllama optimizing instruction following language models with external knowledge for automated fact checking 2023 09 arxiv https arxiv org pdf 2309 01538 chatrule mining logical rules with large language models for knowledge graph reasoning 2023 09 arxiv https arxiv org abs 2309 04695 code style in context learning for knowledge based question answering 2023 09 arxiv https arxiv org abs 2309 04565 unleashing the power of graph learning through llm based autonomous agents 2023 09 arxiv https arxiv org abs 2309 04175 knowledge tuning large language models with structured medical knowledge bases for reliable response generation in chinese 2023 09 arxiv https arxiv org abs 2309 03118 knowledge solver teaching llms to search for domain knowledge from knowledge graphs 2023 09 arxiv https arxiv org abs 2308 14429 biomedical entity linking with triple aware pre training 2023 08 arxiv https arxiv org abs 2308 13916 exploring large language models for knowledge graph completion 2023 08 arxiv https arxiv org abs 2308 16622 developing a scalable benchmark for assessing large language models in knowledge graph engineering 2023 08 arxiv https arxiv org abs 2308 14321 leveraging a medical knowledge graph into large language models for diagnosis prediction 2023 08 arxiv https arxiv org abs 2308 12028 lkpnr llm and kg for personalized news recommendation framework 2023 08 arxiv https arxiv org abs 2308 11730 knowledge graph prompting for multi document question answering 2023 08 arxiv https arxiv org abs 2308 10168 head to tail how knowledgeable are large language models llm a k a will llms replace knowledge graphs 2023 08 arxiv https arxiv org abs 2308 09729 mindmap knowledge graph prompting sparks graph of thoughts in large language models 2023 08 arxiv https arxiv org abs 2308 02357 text2kgbench a benchmark for ontology driven knowledge graph generation from text 2023 08 arxiv https arxiv org abs 2308 00081 towards semantically enriched embeddings for knowledge graph completion 2023 07 arxiv https arxiv org abs 2307 11772 autoalign fully automatic and effective knowledge graph alignment enabled by large language models 2023 07 arxiv https arxiv org abs 2307 07312 using large language models for zero shot natural language generation from knowledge graphs 2023 07 arxiv https arxiv org abs 2307 07697 think on graph deep and responsible reasoning of large language model with knowledge graph 2023 07 arxiv https arxiv org abs 2307 03393 exploring the potential of large language models llms in learning on graphs 2023 07 arxiv https arxiv org abs 2307 05722 exploring large language model for graph data understanding in online job recommendations 2023 07 arxiv https arxiv org abs 2307 02738 recallm an architecture for temporal context understanding and question answering 2023 07 arxiv https arxiv org abs 2307 06917 llm assisted knowledge graph engineering experiments with chatgpt 2023 07 arxiv https arxiv org abs 2307 01128 iterative zero shot llm prompting for knowledge graph construction 2023 07 arxiv https arxiv org abs 2306 10723 fine tuning large enterprise language models via ontological reasoning 2023 06 arxiv https arxiv org abs 2306 10241 snowman a million scale chinese commonsense knowledge graph distilled from foundation model 2023 06 arxiv https arxiv org pdf 2306 04136 pdf knowledge augmented language model prompting for zero shot knowledge graph question answering 2023 06 arxiv https arxiv org abs 2306 10723 fine tuning large enterprise language models via ontological reasoning 2023 06 arxiv https arxiv org abs 2305 18395 knowledge augmented reasoning distillation for small language models in knowledge intensive tasks 2023 05 arxiv https arxiv org pdf 2305 04676 enhancing knowledge graph construction using large language models 2023 05 arxiv https arxiv org abs 2305 03513 chatgraph interpretable text classification by converting chatgpt knowledge to graphs 2023 05 acl 2023 https arxiv org abs 2305 06590 factkg fact verification via reasoning on knowledge graphs 2023 05 arxiv https arxiv org abs 2304 05973 hiprompt few shot biomedical knowledge fusion via hierarchy oriented prompting 2023 04 arxiv https arxiv org abs 2305 09645 structgpt a general framework for large language model to reason over structured data 2023 05 arxiv https arxiv org abs 2305 19523 explanations as features llm based features for text attributed graphs 2023 05 arxiv https arxiv org abs 2305 13168 llms for knowledge graph construction and reasoning recent capabilities and future opportunities 2023 05 arxiv https arxiv org abs 2305 10037 can language models solve graph problems in natural language 2023 05 arxiv https arxiv org abs 2305 09858 knowledge graph completion models are few shot learners an empirical study of relation labeling in e commerce with llms 2023 05 arxiv https arxiv org abs 2305 16755 can large language models generate salient negative statements 2023 05 arxiv https arxiv org abs 2305 15066 gpt4graph can large language models understand graph structured data an empirical evaluation and benchmarking 2023 05 arxiv https arxiv org abs 2305 01157 complex logical reasoning over knowledge graphs using large language models 2023 05 repo https github com akirato llm kg reasoning tree main arxiv https arxiv org abs 2305 00050 causal reasoning and large language models opening a new frontier for causality 2023 04 arxiv https arxiv org abs 2303 05279 can large language models build causal graphs 2023 04 arxiv https arxiv org abs 2304 05774 using multiple rdf knowledge graphs for enriching chatgpt responses 2023 04 arxiv https arxiv org abs 2304 11116 graph toolformer to empower llms with graph reasoning ability via prompt augmented by chatgpt 2023 04 arxiv https arxiv org abs 2304 02711 structured prompt interrogation and recursive extraction of semantics spires a method for populating knowledge bases using zero shot learning 2023 04 repo https github com monarch initiative ontogpt resources and benchmarking arxiv https arxiv org abs 2306 14704 ontology enrichment from texts a biomedical dataset for concept discovery and placement 2023 06 arxiv https arxiv org abs 2306 05783 xiezhi an ever updating benchmark for holistic domain knowledge evaluation 2023 06 arxiv https arxiv org abs 2210 00305 lambdakg a library for pre trained language model based knowledge graph embeddings 2023 03 repo http 47 92 96 190 9001 arxiv https arxiv org abs 2309 11669 construction of paired knowledge graph text datasets informed by cyclic evaluation 2023 09 arxiv https arxiv org abs 2310 08487 graphextqa a benchmark for evaluating graph enhanced large language models 2023 10 arxiv https arxiv org abs 2310 08365 from large language models to knowledge graphs for biomarker discovery in cancer 2023 10 contribution contributors a href https github com zjukg kg llm papers graphs contributors img src https contrib rocks image repo zjukg kg llm papers a contributing welcome add a new paper or update an existing kg related llm paper use the same format as existing entries to describe the work a very brief explanation why you think a paper should be added or updated is recommended not neccessary via adding issues or pull requests don t worry if you put something wrong they will be fixed for you just feel free to contribute and promote your awesome work here we ll get back to you in time cite please condiser citing this repo thanks a lot bigquery misc zhang2023making title making large language models perform better in knowledge graph completion author yichi zhang and zhuo chen and wen zhang and huajun chen year 2023 eprint 2310 06671 archiveprefix arxiv primaryclass cs cl | awsome-list commonsense gpt knowledge knowledge-graph language-models large-language-models llm nlp paper-list prompt survey awesome awesome-kg awesome-llm | ai |
Hands-On-Natural-Language-Processing-with-Python | hands on natural language processing with python a href https www packtpub com big data and business intelligence hands natural language processing python utm source github utm medium repository utm campaign 9781789139495 img src https www packtpub com sites default files 9781789139495 20 20copy png alt hands on natural language processing with python height 256px align right a this is the code repository for hands on natural language processing with python https www packtpub com big data and business intelligence hands natural language processing python utm source github utm medium repository utm campaign 9781789139495 published by packt a practical guide to applying deep learning architectures to your nlp applications what is this book about natural language processing nlp has found its applications in various domains like web search advertisements customer service and with deep learning we can bring high performance in these application areas this book teaches you to leverage deep learning models in performing various nlp tasks it also showcases the best practices in dealing with the nlp challenges this book covers the following exciting features implement semantic embedding of words to classify and find entities convert word to vectors by training to implement arithmetic on words train a deep learning model to detect classification of tweets news implement a question answering model with search and rnn models train models for various text classification datasets using cnn if you feel this book is for you get your copy https www amazon com dp 178913949x 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 if test expression statement upon condition is true following is what you need for this book this book is primarily targeted towards data scientists machine learning engineers analysts and developers with an interest in data and applying state of the art transfer learning methodologies to solve tough real world problems readers are expected to have basic proficiency in machine learning and python with the following software and hardware list you can run all code files present in the book chapter 1 13 software and hardware list chapter software required hardware required 2 anaconda python3 version download for any oswindows 4 anaconda python3 version download for any oswindows 5 anaconda python3 version download for any oswindows 6 anaconda python3 version download for any oswindows 8 anaconda python3 version download for any oswindows 9 anaconda python3 version download for any oswindows 10 anaconda python3 version download for any oswindows 11 anaconda python3 version download for any oswindows we also provide a pdf file that has color images of the screenshots diagrams used in this book https www packtpub com sites default files downloads handsonnaturallanguageprocessingwithpython colorimages pdf related products paste books from the other books you may enjoy section natural language processing with tensorflow packt https www packtpub com application development natural language processing tensorflow utm source github utm medium repository utm campaign 9781788478311 amazon https www amazon com dp 1788478312 mastering natural language processing with python packt https www packtpub com big data and business intelligence mastering natural language processing python utm source github utm medium repository utm campaign 9781783989041 amazon https www amazon com dp 1783989041 get to know the authors rajesh arumugam is an ml developer at sap singapore previously he developed ml solutions for smart city development in areas such as passenger flow analysis in public transit systems and optimization of energy consumption in buildings when working with centre for social innovation at hitachi asia singapore he has published papers in conferences and has pending patents in storage and ml he holds a phd in computer engineering from nanyang technological university singapore rajalingappaa shanmugamani is a deep learning lead at sap singapore previously he worked and consulted at various start ups for developing computer vision products he has a masters from iit madras where his thesis was based on applications of computer vision in manufacturing he has published articles in peer reviewed journals and conferences and applied for a few patents in ml in his spare time he teaches programming and machine learning to school students and engineers other books by the author deep learning for computer vision https www packtpub com big data and business intelligence deep learning computer vision utm source github utm medium repository utm campaign 9781788295628 tensorflow deep learning projects tensorflow 20deep 20learning 20projects utm source github utm medium repository utm campaign 9781788398060 suggestions and feedback click here https docs google com forms d e 1faipqlsdy7datc6qmel81fiuuymz0wy9vh1jhkvpy57oimekgqib ow viewform if you have any feedback or suggestions download a free pdf i if you have already purchased a print or kindle version of this book you can get a drm free pdf version at no cost br simply click on the link to claim your free pdf i p align center a href https packt link free ebook 9781789139495 https packt link free ebook 9781789139495 a p | ai |
|
awesome-blockchain | awesome blockchain awesome https cdn rawgit com sindresorhus awesome d7305f38d29fed78fa85652e3a63e154dd8e8829 media badge svg https github com sindresorhus awesome a curated list of blockchain and general cryptocurrency resources table of contents bitcoin books bitcoin blockchain art blockchain art blockchain books blockchain books courses courses documentaries documentaries ethereum and smart contracts ethereum and smart contracts explorers explorers infographics infographics talks talks white papers white papers youtube channels youtube channels assets assets private blockchains private blockchain other resources other resources blockchain books blockchain explained a technology guide to the bitcoin and cryptocurrency fintech revolution https www amazon com blockchain explained technology cryptocurrency revolution dp 1535315946 ref pd sim 14 5 encoding utf8 pd rd i 1535315946 pd rd r 615dfbpatqx6gx4rbpwp pd rd w 96va0 pd rd wg m6xmm psc 1 refrid 615dfbpatqx6gx4rbpwp r j simmons blockchain fast and simple what it is how it works why it matters understand the basics join the revolution https www amazon com blockchain fast simple understand revolution ebook dp b01m1j671w ref sr 1 1 s books ie utf8 qid 1476984683 sr 1 1 keywords blockchain fast and simple what it is 2c how it works 2c why it matters 3a understand the basics 2c join the revolution pierro martini blockchain revolution how the technology behind bitcoin is changing money business and the world https www amazon com blockchain revolution technology changing business dp 1101980133 ref pd sim 14 11 encoding utf8 pd rd i 1101980133 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 don and alextapscott blockchain revolution the ultimate guide to mastering bitcoin and how to use blockchain for your benefit https www amazon com blockchain revolution technology changing business dp 1101980133 ref pd bxgy 14 img 3 encoding utf8 pd rd i 1101980133 pd rd r jmghcb5wb1sfp0hymk6e pd rd w uheeo pd rd wg cburt psc 1 refrid jmghcb5wb1sfp0hymk6e phil stein blockchain the ultimate guide to understanding the hidden economy https www amazon com blockchain ultimate understanding hidden economy dp 1534839720 ref pd sim 14 5 encoding utf8 pd rd i 1534839720 pd rd r 6w5m79gd2jfecezdhpjf pd rd w 19drm pd rd wg dms0s psc 1 refrid 6w5m79gd2jfecezdhpjf s oscar flynt blockchain blueprint for a new economy https www amazon com blockchain blueprint economy melanie swan dp 1491920491 ref pd sim 14 3 encoding utf8 pd rd i 1491920491 pd rd r 3kqxc5rxym1r64cdq0dw pd rd w yggzx pd rd wg udr6c psc 1 refrid 3kqxc5rxym1r64cdq0dw melanie swan blockchain easiest ultimate guide to understand blockchain https www amazon com blockchain understand programming contracts revolution dp 1537533371 ref pd sim 14 3 encoding utf8 pd rd i 1537533371 pd rd r 904dcpsy2qzx2vm23xqd pd rd w 3ocfl pd rd wg jjfbs psc 1 refrid 904dcpsy2qzx2vm23xqd jared norton blockchain quick start guide to understanding blockchain the biggest revolution in financial technology and beyond since the internet https www amazon com blockchain understanding revolution financial technology dp 153469093x ref pd sim 14 1 encoding utf8 pd rd i 153469093x pd rd r d7a8braqa9gnyqyes830 pd rd w 76sme pd rd wg scgv1 psc 1 refrid d7a8braqa9gnyqyes830 seth ramsey blockchain the comprehensive guide to mastering the hidden economy https www amazon com blockchain comprehensive mastering technology financial dp 1537272039 ref pd sim 14 9 encoding utf8 pd rd i 1537272039 pd rd r d7a8braqa9gnyqyes830 pd rd w 76sme pd rd wg scgv1 psc 1 refrid d7a8braqa9gnyqyes830 timothy short blockchain the essential guide to understanding the blockchain revolution https www amazon com blockchain essential guide understanding revolution dp 1537317504 ref pd sim 14 2 encoding utf8 pd rd i 1537317504 pd rd r n3211hrz6t4etter3my3 pd rd w i44hf pd rd wg evc6k psc 1 refrid n3211hrz6t4etter3my3 jeff reed blockchain the future of internet innovation ideas applications and uses for blockchain technology https www amazon com blockchain innovation applications cryptocurrencies technological ebook dp b01g80v3o2 ref sr 1 2 ie utf8 qid 1476985977 sr 8 2 keywords blockchain contracts and cyberlaw jerry kershen blockchain the simple guide to everything you need to know https www amazon com blockchain simple guide everything need dp 1533161577 ref pd sim 14 23 encoding utf8 pd rd i 1533161577 pd rd r 26rqgpjbs5v65wxkfs9z pd rd w djmvn pd rd wg e1guu psc 1 refrid 26rqgpjbs5v65wxkfs9z jacob william bye bye banks how retail banks are being displaced diminished and disintermediated by tech startups and what they can do to survive https www amazon com bye banks displaced diminished disintermediated dp 0993220649 ref sr 1 1 ie utf8 qid 1476986040 sr 8 1 keywords bye bye banks 3f james haycock decentralized applications harnessing bitcoin s blockchain technology https www amazon com decentralized applications harnessing blockchain technology dp 1491924543 ref pd sim 14 3 encoding utf8 pd rd i 1491924543 pd rd r 7xn6ajy2px75qdztzapm pd rd w zdhwi pd rd wg oq9te psc 1 refrid 7xn6ajy2px75qdztzapm siraj raval financial technology this book bundle includes fintech and blockchain https www amazon com financial technology bundle fintech blockchain dp 1533477299 ref pd sim 14 3 encoding utf8 pd rd i 1533477299 pd rd r d7a8braqa9gnyqyes830 pd rd w 76sme pd rd wg scgv1 psc 1 refrid d7a8braqa9gnyqyes830 jacob william how to program a block chain explorer with python and bitcoin https www amazon com program block explorer python bitcoin ebook dp b014b6890g ref sr 1 1 s books ie utf8 qid 1476984581 sr 1 1 keywords how to program a block chain explorer with python and bitcoin alex gorale the business blockchain promise practice and application of the next internet technology https www amazon com fintech book technology entrepreneurs visionaries dp 111921887x ref pd bxgy 14 img 3 encoding utf8 pd rd i 111921887x pd rd r z5zrqn8rg5teqtmkyha9 pd rd w qigxn pd rd wg wzm9d psc 1 refrid z5zrqn8rg5teqtmkyha9 william mougayar the fintech book the financial technology handbook for investors entrepreneurs and visionaries https www amazon com fintech book technology entrepreneurs visionaries dp 111921887x ref pd bxgy 14 img 3 encoding utf8 pd rd i 111921887x pd rd r z5zrqn8rg5teqtmkyha9 pd rd w qigxn pd rd wg wzm9d psc 1 refrid z5zrqn8rg5teqtmkyha9 susanne chishti and janos barberis the fourth industrial revolution https www amazon com fourth industrial revolution klaus schwab dp 1944835008 ref sr 1 1 s books ie utf8 qid 1476984488 sr 1 1 keywords the fourth industrial revolution prof klaus schwab the science of the blockchain https www amazon com science blockchain inverted forest publishing dp 1522751831 ref pd sim 14 10 encoding utf8 pd rd i 1522751831 pd rd r ff7d9xvt7epcacxh29z8 pd rd w jxbsj pd rd wg pcc0z psc 1 refrid ff7d9xvt7epcacxh29z8 roger wattenhofer valueweb how fintech firms are using mobile and blockchain technologies to create the internet of value https www amazon com valueweb fintech blockchain technologies internet dp 9814677175 ref pd sim 14 10 encoding utf8 pd rd i 9814677175 pd rd r bcchstjwge32h74xn9gz pd rd w 2ygdw pd rd wg ub9kn psc 1 refrid bcchstjwge32h74xn9gz chris skinner white papers a fistful of bitcoins characterizing payments among men with no names http cseweb ucsd edu smeiklejohn files imc13 pdf university of san diego california a brave new world what impact will distributed ledger technology have on the financial industry https www ecb europa eu paym pdf infocus 20160422 infocus dlt pdf the european central bank an architecture for the internet of money https docs google com document d 1bc kzxrotemzg6avh7rrtruy24uwhoecgil7alhmo0a pub meher roy banking in a world of programmable assets https www accenture com t20160509t223022 w us en acnmedia pdf 16 accenture strategy banking world of programmable assets pdf accenture bitcoin primer http www macroriskadvisors com layout pdf bitcoin 20primer 20btc pdf macro risk advisors bitcoin as money http www bostonfed org economic current policy perspectives 2014 cpp1404 pdf stephanie lo and j christina wang bitcoin http research microsoft com pubs 156072 bitcoin pdf microsoft research blockchain technology beyond bitcoin http scet berkeley edu wp content uploads blockchainpaper pdf university of california berkeley blockchain practical implications of a revolutionary technology for financial markets and beyond https www dlapiper com en uk insights events 2016 04 blockchain practical implications 11 apr 2016 dla piper blockchain the solution for transparency in product supply chains https www provenance org whitepaper project provenance ltd blockstack a global naming and storage system secured by blockchains https blockstack org blockstack pdf muneeb ali jude nelson ryan shea and michael j freedman bootstrapping trust in distributed systems with blockchains https blockstack org blockstack login pdf muneeb ali jude nelson ryan shea and michael j freedman consensus immutable agreement for the internet of value https assets kpmg com content dam kpmg pdf 2016 06 kpmg blockchain consensus mechanism pdf kpmg distributed ledger technology beyond block chain https www gov uk government uploads system uploads attachment data file 492972 gs 16 1 distributed ledger technology pdf uk government chief scientific adviser economics of bitcoin http nakamotoinstitute org static docs economics of bitcoin pdf peter surda enabling blockchain innovations with pegged sidechains https blockstream com sidechains pdf adam back matt corallo luke dashjr mark friedenbach gregory maxwell andrew miller andrew poelstra jorge tim n and pieter wuille extending existing blockchains with virtualchain https blockstack org virtualchain pdf jude nelson muneeb ali ryan shea and michael j freedman the impact and potential of blockchain on the securities transaction lifecycle http www zyen com publications the 20impact 20and 20potential 20of 20blockchain 20on 20the 20securities 20transaction 20lif pdf the swift institute world citizenship by creating affordable private passport service https docs google com document d 1hq52gt0sq8mjbz3 qr lipztbfqida2wv8vb 1m8i4u edit chris ellis bitcoin anonymous cryptocurrencies the rise of bitcoin alternatives that offer true anonymity https www amazon com cryptocurrencies bitcoin alternatives offer anonymity dp 1500682586 ref pd sim 14 24 encoding utf8 pd rd i 1500682586 pd rd r pmb5gabnhvfm2vhe3wbh pd rd w 6ygsw pd rd wg yvxm8 psc 1 refrid pmb5gabnhvfm2vhe3wbh will martin bit by bit how p2p is freeing the world https www amazon com bit how p2p freeing world ebook dp b00s085trs ref sr 1 1 ie utf8 qid 1476985273 sr 8 1 keywords bit by bit jeffery tucker bitcoin a complete beginner s guide master the game https www amazon com bitcoin complete beginners guide master ebook dp b01ju6kd9c ref sr 1 2 ie utf8 qid 1476986332 sr 8 2 keywords the bitcoin tutorial 3a luke sutton bitcoin basics https www amazon com bitcoin basics creating investing bitcoins dp 1508478945 ref pd sim 14 4 encoding utf8 pd rd i 1508478945 pd rd r ymypcm376h2jnj9nvb6d pd rd w 0gtr5 pd rd wg iqdc9 psc 1 refrid ymypcm376h2jnj9nvb6d benjamin tideas bitcoin decoded bitcoin beginner s guide to mining and the strategies to make money with cryptocurrencies https www amazon com bitcoin decoded beginners strategies cryptocurrencies dp 061595524x ref pd sim 14 12 encoding utf8 pd rd i 061595524x pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 brett combs tom mitsoff bitcoin for dummies https www amazon com bitcoin dummies prypto dp 1119076137 ref pd sim 14 30 encoding utf8 pd rd i 1119076137 pd rd r 26rqgpjbs5v65wxkfs9z pd rd w djmvn pd rd wg e1guu psc 1 refrid 26rqgpjbs5v65wxkfs9z prypto bitcoin internals a technical guide to bitcoin https www amazon com bitcoin internals technical guide ebook dp b00dg8ept0 ref sr 1 1 ie utf8 qid 1476985144 sr 8 1 keywords bitcoin internals 3a chris clark bitcoin step by step for beginners how to invest and profit from bitcoin today https www amazon com bitcoin step beginners invest profit ebook dp b00k5rukee ref sr 1 1 ie utf8 qid 1476986366 sr 8 1 keywords bitcoin step by step leo kallstrom bitcoin the future of money https www amazon com bitcoin future money dominic frisby dp 1783521023 ref pd sim 14 19 encoding utf8 pd rd i 1783521023 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 dominic frisby bitcoin and cryptocurrency technologies a comprehensive introduction https www amazon com bitcoin cryptocurrency technologies comprehensive introduction dp 0691171696 ref pd sim 14 8 encoding utf8 pd rd i 0691171696 pd rd r 0chwwtbsreye58r7p0sx pd rd w gcu04 pd rd wg gzavr psc 1 refrid 0chwwtbsreye58r7p0sx arvind narayanan joseph bonneau edward felten andrew miller steven goldfeder free version of first draft https d28rh4a8wq0iu5 cloudfront net bitcointech readings princeton bitcoin book pdf a 1 bitcoin and the future of money https www amazon com bitcoin future money jose pagliery dp 1629370363 ref pd sim 14 14 encoding utf8 pd rd i 1629370363 pd rd r nhz4sy5acxyyfa2fn5pk pd rd w wi1xd pd rd wg ltnfm psc 1 refrid nhz4sy5acxyyfa2fn5pk jose pagliery bitcoin for the befuddled https www amazon com bitcoin befuddled conrad barski dp 1593275730 ref pd sim 14 8 encoding utf8 pd rd i 1593275730 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 conrad barski and chris wilmer bitcoin in english https www amazon com bitcoin english understanding how works ebook dp b00x09lbx8 ref sr 1 1 ie utf8 qid 1476985191 sr 8 1 keywords bitcoin in english peter h le bitcoin mastering bitcoin cyptocurrency for beginners https www amazon com bitcoin mastering cyptocurrency reinventing currencies dp 153342733x ref pd sim 14 6 encoding utf8 pd rd i 153342733x pd rd r tjj3y2f85racyqsf23gz pd rd w kwflq pd rd wg kogbv psc 1 refrid tjj3y2f85racyqsf23gz tim harris digital gold the untold story of bitcoin https www amazon com digital gold bitcoin millionaires reinvent dp 0062362496 ref pd sim 14 1 encoding utf8 pd rd i 0062362496 pd rd r d7kmjcp493pph9advpcr pd rd w g5hrb pd rd wg ksfk5 psc 1 refrid d7kmjcp493pph9advpcr nathaniel popper everything you need to know about buying selling and investing in bitcoin https www amazon com everything selling investing bitcoin technology dp 1493699474 ref pd sim 14 17 encoding utf8 pd rd i 1493699474 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 a h smithers mastering bitcoin unlocking digital cryptocurrencies https www amazon com mastering bitcoin unlocking digital cryptocurrencies dp 1449374042 ref sr 1 1 ie utf8 qid 1476978890 sr 8 1 keywords mastering bitcoin 3a unlocking digital cryptocurrencies andreas m antonopoulos the age of cryptocurrency how bitcoin and digital money are challenging the global economic order https www amazon com age cryptocurrency bitcoin challenging economic dp 1250065631 ref pd sim 14 6 encoding utf8 pd rd i 1250065631 pd rd r 7xn6ajy2px75qdztzapm pd rd w zdhwi pd rd wg oq9te psc 1 refrid 7xn6ajy2px75qdztzapm paul vigna and michael j casey the anatomy of a money like informational commodity a study of bitcoin https www amazon com anatomy money like informational commodity bitcoin ebook dp b00meao7xk ref sr 1 1 ie utf8 qid 1476985224 sr 8 1 keywords the anatomy of a money tim swanson the bitcoin bible https www amazon com bitcoin bible gold benjamin guttmann dp 3732296962 ref pd sim 14 18 encoding utf8 pd rd i 3732296962 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 benjamin guttmann the bitcoin big bang how alternative currencies are about to change the world https www amazon com bitcoin big bang alternative currencies dp 1118963660 ref pd sim 14 13 encoding utf8 pd rd i 1118963660 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 brian kelly the bitcoin tutor unlocking the secrets of bitcoin https www amazon com bitcoin tutor unlocking secrets dp 0979864917 ref pd sim 14 5 encoding utf8 pd rd i 0979864917 pd rd r qzn41aygxjscs7q32wa7 pd rd w 2i7o1 pd rd wg nbcjj psc 1 refrid qzn41aygxjscs7q32wa7 marc a carignan the bitcoin tutorial develop an intuitive understanding of the currency and blockchain technology https www amazon com bitcoin tutorial understanding blockchain technology ebook dp b01ep9sve8 ref sr 1 1 ie utf8 qid 1476986332 sr 8 1 keywords the bitcoin tutorial 3a bruce kleinman the black book of bitcoin a step by step bitcoin guide on everything you need to know about this new currency https www amazon com black book bitcoin step step dp 1519284527 ref pd sim 14 22 encoding utf8 pd rd i 1519284527 pd rd r pmb5gabnhvfm2vhe3wbh pd rd w 6ygsw pd rd wg yvxm8 psc 1 refrid pmb5gabnhvfm2vhe3wbh mark janniro the book of satoshi https www amazon com book satoshi collected writings nakamoto dp 0996061312 ref pd sim 14 8 encoding utf8 pd rd i 0996061312 pd rd r 9qb4zb20s6cy4nge029x pd rd w 2tjp2 pd rd wg vjlqc psc 1 refrid 9qb4zb20s6cy4nge029x paul champagne the digital money game competing in the multi trillion dollar payments industry https www amazon com digital money game competing multi trillion ebook dp b00lz3t66k ref sr 1 1 ie utf8 qid 1476985249 sr 8 1 keywords the digital money game 3a charmaine oak the internet of money andreas m antonopoulos https www amazon com internet money andreas m antonopoulos dp 1537000454 ref pd bxgy 14 img 2 encoding utf8 pd rd i 1537000454 pd rd r xpr2xe7mnfcyab70vzdm pd rd w xn5tu pd rd wg 4sqi0 psc 1 refrid xpr2xe7mnfcyab70vzdm understanding bitcoin cryptography engineering and economics https www amazon com understanding bitcoin cryptography engineering economics dp 1119019168 ref pd sim 14 16 encoding utf8 pd rd i 1119019168 pd rd r kf66s03s94p6cmsn0k29 pd rd w dibne pd rd wg jrgou psc 1 refrid kf66s03s94p6cmsn0k29 pedro franco virtual billions the genius the drug lord and the ivy league twins behind the rise of bitcoin https www amazon com virtual billions genius league bitcoin dp 163388144x ref sr 1 1 ie utf8 qid 1476986258 sr 8 1 keywords virtual billions 3a the genius eric geissinger wildcat currency https www amazon com wildcat currency virtual revolution transforming dp 0300186134 ref sr 1 1 ie utf8 qid 1476986207 sr 8 1 keywords wildcat currency edward castronova ethereum and smart contracts a proof of stake design philosophy https medium com vitalikbuterin a proof of stake design philosophy 506585978d51 43e2aeta8 vitalik buterin blockchain contracts and cyberlaw https www amazon com blockchain contracts cyberlaw pavan duggal ebook dp b019s2i1ce ref sr 1 1 ie utf8 qid 1476985977 sr 8 1 keywords blockchain contracts and cyberlaw pavan duggal ethereum builder s guide https www gitbook com book ethereumbuilders guide details ethereum ethereum frontier guide https ethereum gitbooks io frontier guide ethereum ethereum a look into the world of ethereum and everything you need to know about it s trade and investment https www amazon com ethereum everything investment blockchain cryptocurrency ebook dp b01ic6nt8s ref sr 1 1 ie utf8 qid 1476984793 sr 8 1 keywords ethereum 3a a look into the world of ethereum and everything you need to know about it 27s trade and investment 21 ben abner ethereum the complete beginners guide blockchain cryptocurrencies ethereum https www amazon com s ref nb sb noss url search alias 3daps field keywords ethereum 3a the complete beginners guide ray hammond fintech financial technology and modern finance in the 21st century https www amazon com fintech financial technology blockchain contracts ebook dp b01mefl03w ref sr 1 1 ie utf8 qid 1476985691 sr 8 1 keywords fintech 3a financial technology and modern finance in the 21st century jeff reed great chain of numbers a guide to smart contracts smart property and trustless asset management https www amazon com great chain numbers contracts management ebook dp b00irubmxo ref sr 1 1 ie utf8 qid 1476985949 sr 8 1 keywords great chain of numbers 3a a guide to smart contracts 2c smart property and trustless asset management tim swanson investing in ethereum the complete guide to smart investing learn how to easily profit from cryptocurrencies https www amazon com investing ethereum complete easily cryptocurrencies dp 1537677209 ref sr 1 fkmr0 1 ie utf8 qid 1476985775 sr 8 1 fkmr0 keywords ethereum 3a the complete beginners guide thomas sanders investing in ethereum the ultimate guide to learning and profiting from cryptocurrencies https www amazon com investing ethereum learning profiting cryptocurrencies dp 153530281x ref pd sim 14 5 encoding utf8 pd rd i 153530281x pd rd r eh8vpzej5bmm540bqezw pd rd w cywq3 pd rd wg p4u9s psc 1 refrid eh8vpzej5bmm540bqezw oscar flynt investing in ethereum understanding cryptocurrencies for the smart investor https www amazon com investing ethereum understanding cryptocurrencies investor ebook dp b01dd6xvje ref sr 1 1 ie utf8 qid 1476985905 sr 8 1 keywords investing in ethereum 3a understanding michael k nungesser practical guide to smart contracts https www gitbook com book smart contract japan prictical guide of smart contracts details smart contract japan smart contracts how to use blockchain smart contracts for cryptocurrency exchange https www amazon com smart contracts blockchain cryptocurrency exchange ebook dp b01iqjm53q ref sr 1 1 ie utf8 qid 1476984876 sr 8 1 keywords smart contracts 3a how to use blockchain oscar flynt smart contracts the essential guide to using blockchain smart contracts for cryptocurrency exchange https www amazon com smart contracts essential blockchain cryptocurrency ebook dp b01lxgo7gh ref sr 1 1 ie utf8 qid 1476985747 sr 8 1 keywords smart contracts 3a the essential guide jeff reed smart contracts the ultimate guide to blockchain smart contracts learn how to use smart contracts for cryptocurrency exchange https www amazon com smart contracts ultimate blockchain cryptocurrency ebook dp b01lyk175f ref sr 1 2 ie utf8 qid 1476984876 sr 8 2 keywords smart contracts 3a how to use blockchain terry parker the modern ethereum https www amazon com modern ethereum ryan venter ebook dp b01kirqz0s ref sr 1 1 ie utf8 qid 1476985723 sr 8 1 keywords the modern ethereum ryan venter turboethereum guide https www gitbook com book gavofyork turboethereum details gavin wood infographics bitcoin s history 2008 2014 https i imgur com kvf3kfu png how a transaction works https i imgur com fzyx3od jpg talks balaji srinivasan gives a quick talk at goldman sachs 14 min https www youtube com watch v 7 vyesfsa30 balaji srinivasan on silicon valley s ultimate exit the usa the microsoft of nations 16 min https www youtube com watch v coubchlxt6a beyond bitcoin block chains and the future of trustless computing 27 min https www youtube com watch v igetc2jmubi bitcoin is exciting because it s cheap https www youtube com watch t 26 v dyaufa2lwn0 bill gates bitcoin threatens kleptocracy 7 min http youtu be jahqtxvgxy4 bitcoin sweat tide meet the future of branded currency 11min https www ted com talks paul kemp robertson bitcoin sweat tide meet the future of branded currency language en paul kemp robertson convergex group nick colas 3min https www youtube com watch v cdvveckksxo defining bitcoin ownership 2 min https www youtube com watch v tanjgso16uk ending the federal reserve s monopoly 6 min http vimeo com 94697840 everything you need to know about bitcoin https www youtube com watch v snsskmexrgs reihan salams how cryptocurrencies can succeed the stripe perspective 20min https www youtube com watch v 6qzwl7mukz8 greg brockman how the blockchain is changing money and business 19 min https www ted com talks don tapscott how the blockchain is changing money and business language en don tapscott internet vs bitcoin 3min https www youtube com watch v s0lulpvhko4 join the bitcoin revolution 4min https www youtube com watch v 24ce5tv pgg tedx crytpocurrencies like bitcoin are coming and it s a good thing 11min https www youtube com watch v 0gl9ptqiqxw juan llanos powerful technology transforming society 6min http www youtube com watch v yivalusl9sua quick introduction to bitcoin 5min https www youtube com watch v slfuj5n4twc stefan molyneux money power and politics 30min https www youtube com watch v bmlvqs9qsy stopping war 1 min https www youtube com watch v eyu3tgqqtv8 tedx distributing power trust 18min https www youtube com watch v wi1pbhi1fww eric spano testimony for the australian senate commitee on economics references 36min https www youtube com watch v xotowt8btei feature youtu be the future of bitcoin new applications and rebuilding the banking system 28min https www youtube com watch v md4l7xdncma mike hearn the story of genesis 3min http youtu be gd4llsr ik8 the future will be decentralized 14mins https www youtube com watch v 97ufct6lqcy charles hoskinson xapo the history of money 5 min http youtu be ip0jcjyrew8 youtube channels airbitz https www youtube com channel ucjatfo0 z9leg v7l lt2pw videos andreas antonopolous https www youtube com user aantonop andy ofiesh https www youtube com user jellybaby68 videos bitcoin embassy https www youtube com user jellybaby68 videos bitcoin foundation https www youtube com user bitcoinfoundation videos bitcoin wednesday https www youtube com channel uct po2gfqxiungwjxh6s04w videos blockchain university https www youtube com channel ucj5uhx90mzglk0lc gsmtzw videos blockstack https www youtube com channel uc3j2ihnyt2jtovtgvf jphq bruce fenton first mover https www youtube com user brucefenton videos bruce fentohttps www youtube com playlist list plhrxvckae8dash4oerewshckwu3iiois n first mover https www youtube com user brucefenton videos coin brief https www youtube com user coinbrief videos decentral tv https www youtube com user decentraltv videos ethereum for dummies dr gavin wood https www youtube com watch v u lk0t qapo draper university https www youtube com user timothydraper videos ethercasts https www youtube com user ethercasts ethereum project https www youtube com user ethereumproject everydaycrpto https www youtube com user cryptoeveryday videos let s talk bitcoin https www youtube com user letstalkbitcoinchan mit bitcoin club https www youtube com user mitbitcoinclub videos sf bitcoin meetup industry https www youtube com channel ucolehokv7shwaas0zbwsv a videos satoshi pollen technical https www youtube com user iamsatoshinakamoto videos texas bitcoin conference industy info technical university of nicosia https www youtube com user mscdigitalcurrency videos wbn https www youtube com channel ucgo7fccpuylvk4lup3jagvw videos world crypto network industry info fun entertainment debitcoin https www youtube com user debitcoin videos trust disrupted https www youtube com playlist list plhrxvckae8dash4oerewshckwu3iiois introduction to ethereum and smart contracts https www youtube com watch v r7gvvk8v2ik courses bitcoin and cryptocurrency technologies https www coursera org learn cryptocurrency princeton university bitcoin or how i learned to stop worrying and love crypto https www udemy com bitcoin or how i learned to stop worrying and love crypto udemy bitcoin https www khanacademy org economics finance domain core finance money and banking bitcoin v bitcoin what is it khan academy series crypto currencies the blockchain and smart contracts https crypto stanford edu cs251 standford ethereum developer build a decentralised blockchain app https www udemy com ethereum developer udemy introduction to bitcoin and decentralized technology by scott driscoll https www pluralsight com courses bitcoin decentralized technology pluralsight the basics of blockchain a beginner s guide to blockchain https www udemy com the basics of blockchain udemy the complete ethereum course https www udemy com ethereum couponcode devcon udemy documentaries banking on bitcoin trailer https www youtube com watch v ljsbebfym48 bitcoin in uganda https www youtube com watch v brrxp1tp6kw inside man with morgan spurlock http www disclose tv action viewvideo 198650 morgan spurlock living on bitcoin the inside man bitcoin cnn full documentary bitcoin liberating organic farmers http www youtube com watch v fblpx6gqtuu bitcoins in argentina http www youtube com watch v e m w4n7ni life inside of a secret chinese bitcoin mine https www youtube com watch v k8kua5b5k3i the bitcoin doco https vimeo com 112223859 the rise and rise of bitcoin https vimeo com ondemand bitcoindoc blockchain art artlery https artlery com ascribe https www ascribe io bitmark https bitmark com blockai https blockai com everledger http www everledger io mediachain labs http www mediachainlabs com monegraph https monegraph com tagsmart http www tagsmart com verisart https www verisart com explorers bitaps https bitaps com bitinfocharts https bitinfocharts com bitcoin explorer block explorer https blockexplorer com blockchain size https blockchain info charts blocks size blockonomics https www blockonomics co blockstack explorer https explorer blockstack org blockr http blockr io blocktrail https www blocktrail com btc btc chain https btc com chain flyer http chainflyer bitflyer jp coin payments https explorer coinpayments net coin prism https www coinprism info coingecko https www coingecko com en price charts bitcoin usd 24 hours ether camp http frontier ether camp etherchain https etherchain org ethereum network stats https stats ethdev com etherscan https etherscan io insight https insight bitpay com size of the network https getaddr bitnodes io smartbit https www smartbit com au sochain https chain so btc tradeblock https tradeblock com markets wallet explorer https www walletexplorer com webbtc https webbtc com assets coinspark http coinspark org chronicled http www chronicled com index html everledger https www everledger io openpublish https github com blockai unofficial openpublish open assets protocol https github com openassets open assets protocol private blockchain hyperledger https www hyperledger org openchain https www openchain com other resources ethereum list https github com scanate ethlist | blockchain |
|
natural-questions | natural questions natural questions nq contains real user questions issued to google search and answers found from wikipedia by annotators nq is designed for the training and evaluation of automatic question answering systems please see http ai google com research naturalquestions http ai google com research naturalquestions to get the data and view the leaderboard for more details on the design and content of the dataset please see the paper natural questions a benchmark for question answering research https ai google research pubs pub47761 to help you get started on this task we have provided some baseline systems https github com google research language tree master language question answering that can be branched data description nq contains 307 372 training examples 7 830 examples for development and we withold a further 7 842 examples for testing in the paper we demonstrate a human upper bound of 87 f1 on the long answer selection task and 76 on the short answer selection task to run on the hidden test set you will have to upload a docker image containing your system to the nq competition site http ai google com research naturalquestions competition instructions on building the docker image are given here competition md data format each example in the original nq format contains the rendered html of an entire wikipedia page as well as a tokenized representation of the text on the page this section will go on to define the full nq data format but we recognize that most users will only want a version of the data in which the text has already been extracted we have supplied a simplified version of the training set https storage cloud google com natural questions v1 0 simplified simplified nq train jsonl gz and we have also supplied a simplify nq example function in data utils py data utils py which maps from the original format to the simplified format only the original format is provided by our competition site https ai google com research naturalquestions competition if you use the simplified data you should call simplify nq example on each example seen during evaluation and you should provide predictions using the start token and end token offsets that correspond to the whitespace separated tokens in the document text as well as recognizing predictions according to token offsets the evaluation script also recognizes predictions as byte offsets into the original html this allows users to define their own text extraction and tokenization schemes to help you explore the data this repository also contains a simple data browser nq browser py that you can run on your own machine and modify as you see fit we also have provided extra preprocessing utilities and tensorflow dataset code in the repository containing the baseline systems presented in our paper https github com google research language tree master language question answering the rest of this section describes the data format thouroughly in reference to a toy example toy example md each example contains a single question a tokenized representation of the question a timestamped wikipedia url and the html representation of that wikipedia page json question text who founded google question tokens who founded google document url http www wikipedia org google document html html body h1 google h1 p google was founded in 1998 by we release the raw html since this is what was seen by our annotators and we would like to support approaches that make use of the document structure however we expect most initial efforts will prefer to use a tokenized representation of the page json document tokens token h1 start byte 12 end byte 16 html token true token google start byte 16 end byte 22 html token false token inc start byte 23 end byte 26 html token false token start byte 26 end byte 27 html token false token h1 start byte 27 end byte 32 html token true token p start byte 32 end byte 35 html token true token google start byte 35 end byte 41 html token false token was start byte 42 end byte 45 html token false token founded start byte 46 end byte 53 html token false token in start byte 54 end byte 56 html token false token 1998 start byte 57 end byte 61 html token false token by start byte 62 end byte 64 html token false each token is either a word or a html tag that defines a heading paragraph table or list html tags are marked as such using the boolean field html token each token also has an inclusive start byte and exclusive end byte that identifies the token s position within the example s utf 8 indexed html string long answer candidates the first task in natural questions is to identify the smallest html bounding box that contains all of the information required to infer the answer to a question these long answers can be paragraphs lists list items tables or table rows while the candidates can be inferred directly from the html or token sequence we also include a list of long answer candidates for convenience each candidate is defined in terms of offsets into both the html and the document tokens as with all other annotations start offsets are inclusive and end offsets are exclusive json long answer candidates start byte 32 end byte 106 start token 5 end token 22 top level true start byte 65 end byte 102 start token 13 end token 21 top level false in this example you can see that the second long answer candidate is contained within the first we do not disallow nested long answer candidates we just ask annotators to find the smallest candidate containing all of the information required to infer the answer to the question however we do observe that 95 of all long answers including all paragraph answers are not nested below any other candidates since we believe that some users may want to start by only considering non overlapping candidates we include a boolean flag top level that identifies whether a candidate is nested below another top level false or not top level true please be aware that this flag is only included for convenience and it is not related to the task definition in any way for more information about the distribution of long answer types please see the data statistics section below annotations the nq training data has a single annotation with each example and the evaluation data has five each annotation defines a long answer span a list of short answers and a yes no answer if the annotator has marked a long answer then the long answer dictionary identifies this long answer using byte offsets token offsets and an index into the list of long answer candidates if the annotator has marked that no long answer is available all of the fields in the long answer dictionary are set to 1 json annotations long answer start byte 32 end byte 106 start token 5 end token 22 candidate index 0 short answers start byte 73 end byte 78 start token 15 end token 16 start byte 87 end byte 92 start token 18 end token 19 yes no answer none each of the short answers is also identified using both byte offsets and token indices there is no limit to the number of short answers there is also often no short answer since some questions such as describe google s founding do not have a succinct extractive answer when this is the case the long answer is given but the short answers list is empty finally if no short answer is given it is possible that there is a yes no answer for questions such as did larry co found google the values for this field yes or no if a yes no answer is given the default value is none when no yes no answer is given for statistics on long answers short answers and yes no answers please see the data statistics section below data statistics the nq training data contains 307 373 examples 152 148 have a long answer and 110 724 have a short answer short answers can be sets of spans in the document 106 926 or yes or no 3 798 long answers are html bounding boxes and the distribution of nq long answer types is as follows html tags percent of long answers p 72 9 table 19 0 tr 1 5 ul ol dl 3 2 li dd dt 3 4 while we allow any paragraph table or list element to be a long answer we find that 95 of the long answers are not contained by any other long answer candidate we mark these top level candidates in the data as described above short answers may contain more than one span if the question is asking for a list of answers e g who made it to stage 3 in american ninja warrior season 9 however almost all short answers 90 only contain a single span of text all short answers are contained by the long answer given in the same annotation prediction format please see the evaluation script nq eval py for a description of the prediction format that your model should output contact us if you have a technical question regarding the dataset code or publication please create an issue in this repository this is the fastest way to reach us if you would like to share feedback or report concerns please email us at natural questions google com | os |
|
Altschool-Cloud-Engineering--Assignment | assignment by madu valentine with explanation write out fifteen 15 file operators a file exists is deprecated and its use is discouraged f file is a regular file not a directory or device file d file is a directory l file is a symbolic link r file has read permission for the user running the test w file has write permission for the user running the test x file has execute permission for the user running the test g set group id sgid flag set on file or directory u set user id suid flag set on file k sticky bit set o you are owner of file g group id of file same as yours s file is a socket n file modified since it was last read t file descriptor is associated with a terminal device | cloud |
|
Test-spaCy | test spacy industrial strength natural language processing nlp in python | ai |
|
DEIS-research-step | deis research step design of intelligent embedded system course research step made a quick prediction model and trained it to show it works | os |
|
awesome-iot-projects | awesome iot projects awesome https cdn rawgit com sindresorhus awesome d7305f38d29fed78fa85652e3a63e154dd8e8829 media badge svg a curated list of iot projects everyone can contribute here requirements connect internet table of contents basic showcase basic showcase cloud services cloud services hack hack smart home smart home voice voice machine learning machine learning basic showcase running homebridge on a raspberry pi https github com nfarina homebridge wiki running homebridge on a raspberry pi keyword homebridge raspberry pi node js avahi devices raspberry pi iot weather station with adafruit huzzah esp8266 http www instructables com id iot weather station with esp8266 keyword esp8266 dht11 tmp102 bmp180 devices esp8266 iot analytics platform https blog codecentric de en 2016 07 iot analytics platform keyword analytics iot spark akka cassandra kafka triggering ifttt from arduino using lithouse http www instructables com id triggering ifttt from arduino using lithouse keyword ifttt arduino lithouse wemo devcies arduino wemo switch using docker on a raspberry pi as an iot hub http sample org uk blog post rpi docker iot keyword docker node red influxdb mqtt mosquitto devices raspberry pi serverless iot with particle and amazon web services https mike lapidak is thoughts serverless iot with particle and aws keyword aws serverless particle photon lambda dynamodb devices particle photon cloud services control a star wars bb 8 droid with arm gestures and ibm bluemix internet of things https code tutsplus com tutorials control a star wars bb 8 droid with arm gestures and ibm bluemix internet of things cms 27255 keyword robot gestures bluemix devices myo gesture control armband raspberry pi sphero star wars bb 8 droid hack internet of things on the xbox app dev on xbox series https blogs windows com buildingapps 2016 10 13 internet of things on the xbox app dev on xbox series keyword xbox uwp windows iot core devices xbox telegram bot library https create arduino cc projecthub arduino genuino telegram bot library ced4d4 keyword telegram bot arduino devices arduino mkr1000 diy https mp weixin qq com s elhxrgquh4igxik mnqdfg keyword chromecase adsignage chromecast harmony hub iphone smart home home automation with z wave home assistant aeon multisensor hue lights and a raspberry pi 2 https partofthething com thoughts p 937 keyword home assistant aeon multisensor phillips hue devices raspberry pi hue dd wrt z wave home automation with raspberry pi homebridge https medium com rxseger home automation with raspberry pi homebridge f5ad9c4942c5 keyword homebridge javascript node js devices raspberry pi pi homekit kodi home centre https sspai com post 38849 keyword homebridge kodi homekit devices raspberry pi homekit https sspai com post 38358 keyword xiaomi homekit homebridge aqara devices raspberry pi homeassistant amazon echo http kittenyang com homeassistant practice 01 keyword homeassistant amazon echo ifttt wemo devices amazon echo yeelight esp8266 broadlink homebridge yeelight apple homekit https sspai com post 36617 keyword homebridge yeelight homekit apple ios devices iphone devices yeelight raspberry pi homekit led https blog bencww com 2016 11 09 diy a homekit light and a sensor keyword openwrt hap nodejs homekit esp8266 devices iphone newwifi esp8266 nubchat chat app for devices and humans with pubnub https www hackster io momy93 nubchat chat app for devices and humans with pubnub bad66c keyword pubnub chat app arduino devices mediatek labs linkit one android device voice alexa controlled photon project without alexa coding https www hackster io patriot iot alexa controlled photon project without alexa coding f47d84 keyword photon amazon skill amazon echo devices amazon echo photon how to diy home automation with nodemcu and amazon alexa http www instructables com id how to diy home automation with nodemcu and amazon keyword amazon echo amazon alexa nodemcu esp8266 devices amazon echo nodemcu nick s house echo pi weather https www hackster io xelfer nick s house echo pi weather b08dde keyword aws iot dht22 sensors alexa skills kit aws lambda devices amazon echo raspberry pi 3 voice controlled robot google cloud services https www hackster io lukaszbudnik voice controlled robot google cloud services 94d9a8 ref search ref id voice 20controlled offset 0 keyword google firebase google cloud platform google cloud speech api google app engine devices arduino uno android devices sparkfun redbot kit hi remote meet cortana and windows 10 iot https www hackster io team passionate contributers hi remote meet cortana ec8774 keyword cortana microsoft azure windows 10 iot core devices raspberry pi 2 model b adding cortana and bluetooth to a uwp app for phillips hue https blogs windows com buildingapps 2016 04 20 adding cortana and bluetooth to a uwp app for phillips hue keyword cortana ble uwp hue devices phillips hue windows phone boost your google home with prota os for rpi http www instructables com id boost your google home with prota os for raspberry keyword ifttt google assistant devices google home raspberry pi webcam use cortana function on iot core https developer microsoft com en us windows iot docs cortanaoniotcore keyword cortana windows iot machine learning how to build a robot that sees with 100 and tensorflow https www oreilly com learning how to build a robot that sees with 100 and tensorflow keyword tensorflow robot raspberry pi devices raspberry pi pwnagotchi https github com evilsocket pwnagotchi pwnagotchi is a wifi cracking tool that uses a2c https hackernoon com intuitive rl intro to advantage actor critic a2c 4ff545978752 based ai leveraging bettercap https www bettercap org that learns from its surrounding wifi environment to maximize the crackable wpa key material it captures either passively or by performing authentication and association attacks keyword machine learning wifi cracking raspberry pi devices raspberry pi contributing your contributions are always welcome please submit a pull request or create an issue to add a new iot projects to the list | server |
|
Natural-Language-Processing-in-Practice | natural language processing in practice video this is the code repository for natural language processing in practice video https www packtpub com big data and business intelligence natural language processing practice video utm source github utm medium repository utm campaign 9781787280885 published by packt https www packtpub com utm source github it contains all the supporting project files necessary to work through the video course from start to finish about the video course natural language processing nlp offers powerful ways to interpret and act on spoken and written language it can help you with tasks such as customer support enquiries and customer feedback analysis as the quantity of data continues to grow at an incomprehensible rate being able to understand and process data is becoming a key differentiator for competitive organizations this course will help you gain this skill by practical demonstrations clear explanations and interesting real world examples it will give you a versatile range of deep learning and nlp skills that you can put to work in your own applications by the end of this tutorial you ll have a better understanding of nlp and will be able to transform data into actionable knowledge you will also have worked on multiple examples that implement deep learning to solve real world spoken language problems h2 what you will learn h2 div class book info will learn text ul li build applications with python using the natural language toolkit via nlp nbsp li create your own chatbot using nlp nbsp li perform several natural language processing tasks nbsp li classify text and speech using the naive bayes algorithm nbsp li use various tools and algorithms to build real world applications li ul div instructions and navigation assumed knowledge to fully benefit from the coverage included in this course you will need br to fully benefit from the coverage included in this course you will need an understanding of basic python technical requirements this course has the following software requirements br this course has the following software requirements pycharm community python 3 7 python 3 6 nltk keras scikit learn numpy pandas this course has been tested on the following system configuration os windows 10 processor dual core 3 0 ghz memory 16gb related products hands on natural language processing with pytorch video https www packtpub com application development hands natural language processing pytorch video utm source github utm medium repository utm campaign 9781789133974 mastering natural language processing with python video https www packtpub com big data and business intelligence mastering natural language processing python video utm source github utm medium repository utm campaign 9781789618358 natural language processing with python video https www packtpub com big data and business intelligence natural language processing python video utm source github utm medium repository utm campaign 9781787286085 | nlp python nltk | ai |
fluid-bootstrap-theme | fluid bootstrap theme demo https hortonworks github io fluid bootstrap theme getting started 1 clone this repo 2 run npm install 3 run gulp 4 open http localhost 8000 changing files will trigger a rebuild and the live preview will be refreshed license copyright 2019 cloudera inc licensed under the apache license https github com hortonworks fluid bootstrap theme blob master license | fluid bootstrap theme design-system hortonworks user-interface ui ux | os |
Design-and-Implementation-of-Face-Recognition-based-on-PYNQ | design and implementation of face recognition based on pynq design and implementation of face recognition based on pynq abstract in recent years face recognition has been widely used in areas such as payment security and robotics and has become a research hotspot in the field of computer vision face recognition requires steps such as detection alignment and recognition but traditional methods such as haar cascade classifiers pca do not perform well in detection accuracy and robustness with the development of deep learning technology deep learning algorithms are applied to face recognition which effectively improves the accuracy and robustness of face detection traditional algorithms combined with deep learning have become the development trend in the field of computer vision now and in the future face recognition combined with deep learning requires high computational power it is relatively sufficient to develop computational power on a pc but it is more difficult to deploy on embedded terminals it requires comprehensive consideration of real time performance accuracy computational power power consumption cost portability development difficulty and other factors this paper aims at the above problems designs and implements a pynq based face recognition system which realizes face recognition combined with deep learning in embedded terminals real time video input face recognition and display result output the main tasks of the project are 1 investigate the background significance and application prospects of face recognition and determine the goals of the project 2 analyze the characteristics of traditional face recognition algorithms and algorithms combined with deep learning implement them on the pc side and verify and contrast the results 3 propose a design and implementation scheme of pynq based embedded terminal face recognition system and analyze the design and implementation principle of each part of the system in detail 4 set up an embedded terminal face recognition system to test and verify the project and analysis the results 5 a summary of the issues and outlook proposed system improvement and optimization methods the scheme performs well in real time accuracy power consumption and cost in the future face detection and recognition in algorithms can be tried to use yolo ssd bnn resnet and so on and the real time and accuracy will be better if the cost and power consumption requirements of the development platform are not strict nvidia s gpu embedded development platform jetson should be tried and the performance should be improved greatly and the development will be easier of course only using fpga the development is difficult but the performance meets the requirements and the cost and power consumption is lower we should try to break through this project belongs to the embedded realization of computer vision algorithm combined with deep learning this will be followed by more in depth research and implementation based on this project in this direction key words face recognition computer vision deep learning pynq movidius ncs project video https www bilibili com video av39977458 | ai |
|
Brihaspati | brihaspati p align center a href https github com harshcasper brihaspati img src https cdn pixabay com photo 2016 08 30 03 06 jupiter 1629708 960 720 png alt logo width 200 height 190 a introduction this is a collection of various machine learning algorithms and experiments that have been implemeneted from my side by following various tutorials article blogs and more these machine learning algorithms have been implemented on various datasets from kaggle https www kaggle com uci https archive ics uci edu and more resources machine learning yearning by andrew ng https github com harshcasper brihaspati blob master resources ai andrew ng machine learning yearning pdf hands on machine learning with scikit learn and tensorflow https github com harshcasper brihaspati blob master resources hands 20on 20machine 20learning 20with 20scikit 20learn 20and 20tensorflow pdf linear algebra for machine learning https github com harshcasper brihaspati blob master resources linear 20algebra 20for 20machine 20learning pdf machine learning a z https github com harshcasper brihaspati blob master resources machine 20learning 20a z pdf machine learning cheatsheet https github com harshcasper brihaspati blob master resources machine 20learning 20cheatsheet pdf machine learning projects in python https github com harshcasper brihaspati blob master resources machine 20learning 20projects 20in 20python pdf machine learning for dummies https github com harshcasper brihaspati blob master resources machine 20learning 20for 20dummies pdf machine learning in action https github com harshcasper brihaspati blob master resources machine 20learning 20in 20action 20a 20p 20 20alan 20t 20norman pdf machine learning with python cookbook https github com harshcasper brihaspati blob master resources machine 20learning 20with 20python 20cookbook 20 en pdf machine learning mastery https github com harshcasper brihaspati blob master resources machine learning mastery jason brownlee pdf veracity of big data machine learning and other https github com harshcasper brihaspati blob master resources veracity 20of 20big 20data 20machine 20learning 20and 20other pdf notebooks and datasets name dataset notebook amazon sentiment analysis kaggle dataset https www kaggle com bittlingmayer amazonreviews notebooks notebook https github com harshcasper brihaspati tree master amazon 20sentiment 20analysis covid 19 detection using transfer learning kaggle dataset https github com ieee8023 covid chestxray dataset notebook https github com harshcasper brihaspati tree master covid 19 cat and dog classifier kaggle dataset https www kaggle com c dogs vs cats notebook https github com harshcasper brihaspati tree master cat 20and 20dog 20classifer chatbot using lstm notebook https github com harshcasper brihaspati tree master chatbot 20using 20lstm decision tree dataset https github com harshcasper brihaspati tree master decision 20tree notebook https github com harshcasper brihaspati tree master decision 20tree fake news classification dataset https www kaggle com c fake news data notebook https github com harshcasper brihaspati tree master fake 20news 20analysis gender prediction notebook https github com harshcasper brihaspati tree master gender 20prediction 20using 20natural 20language 20processing hindi character recognition dataset https www kaggle com rishianand devanagari character set notebook https github com harshcasper brihaspati tree master hindi 20character 20recognition iris flower prediction dataset https archive ics uci edu ml datasets iris notebook https github com harshcasper brihaspati tree master iris k means clustering dataset https github com harshcasper brihaspati blob master k means 20clustering clustering csv notebook https github com harshcasper brihaspati tree master k means 20clustering linear regression i dataset https www kaggle com c ames housing data notebook https github com harshcasper brihaspati blob master linear 20regression linear 20regression 20on 20ameshousing 20dataset ipynb linear regression ii dataset https www kaggle com jemishdonda headbrain notebook https github com harshcasper brihaspati blob master linear 20regression linear 20regression 20on 20headbrain 20dataset ipynb linear regression iii dataset https github com harshcasper brihaspati blob master linear 20regression students csv notebook https github com harshcasper brihaspati blob master linear 20regression multiple 20linear 20regression 20on 20students 20dataset ipynb logistic regression dataset https www kaggle com rakeshrau social network ads notebook https github com harshcasper brihaspati blob master logistic 20regression logistic 20regression 20on 20social 20network 20ads 20dataset ipynb mnist fashion dataset dataset https www kaggle com zalando research fashionmnist notebook https github com harshcasper brihaspati blob master mnist 20fashion mnist fashion ipynb naive bayes dataset https github com harshcasper brihaspati blob master naive 20bayes 20classifier train csv notebook https github com harshcasper brihaspati blob master naive 20bayes 20classifier naive 20bayes ipynb reinforcement learning notebook https github com harshcasper brihaspati tree master reinforcement 20learning wines dataset dataset https www kaggle com rajyellow46 wine quality notebook https github com harshcasper brihaspati tree master wines 20dataset time series analysis dataset https github com harshcasper brihaspati blob master time 20series 20analysis sales data csv notebook https github com harshcasper brihaspati blob master time 20series 20analysis time 20series 20analysis ipynb spam detection dataset https github com harshcasper brihaspati blob master spam ham 20classification 20pipeline smsspamcollection notebook https github com harshcasper brihaspati blob master spam ham 20classification 20pipeline spam ham 20classification 20pipeline ipynb imdb sentiment classification dataset https www kaggle com lakshmi25npathi imdb dataset of 50k movie reviews notebook https github com harshcasper brihaspati blob master sentiment 20analysis imdb sentiment analysis ipynb satellite image analysis notebook https github com harshcasper brihaspati blob master satellite 20image 20analysis satellite 20imaging 20analysis ipynb | notebooks linear-regression decision-tree-classifier logistic-regression machine-learning deep-learning neural-network computer-vision artificial-intelligence artificial-neural-networks | ai |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.