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CHP011-Unity-step-by-step- | chp011 unity step by step unity in embedded system design and robotics a step by step guide | os |
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HPE-virtual-internship | hpe software engineering program this is public virtual experience program about software engineering at hewlett packard enterprise it includes how to design and build a restful web service using java spring boot and the hpe greenlake cloud platform how to add application support for uploading data how to create unit tests more info can be found here https www theforage com virtual internships prototype da2t3wzcbmajd7bnb software engineering program forcefasttrackv2 true ref exhsqwgyqtasahtty | java restful-webservices sping-boot unit-testing cloud greenlake hpe | cloud |
IPProbes | ipprobes thermoprobes thermoprobes are used for temperature measuring devices including thermocouples rtds ntcs ptcs and temperature ics | os |
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homemade-machine-learning | homemade machine learning ukraine is being attacked https war ukraine ua by russian army civilians are getting killed residential areas are getting bombed help ukraine via serhiy prytula charity foundation https prytulafoundation org en come back alive charity foundation https savelife in ua en donate en national bank of ukraine https bank gov ua en news all natsionalniy bank vidkriv spetsrahunok dlya zboru koshtiv na potrebi armiyi more info on war ukraine ua https war ukraine ua and mfa of ukraine https twitter com mfa ukraine hr binder https mybinder org badge logo svg https mybinder org v2 gh trekhleb homemade machine learning master filepath notebooks read this in other languages espa ol readme es es md you might be interested in interactive machine learning experiments https github com trekhleb machine learning experiments for octave matlab version of this repository please check machine learning octave https github com trekhleb machine learning octave project this repository contains examples of popular machine learning algorithms implemented in python with mathematics behind them being explained each algorithm has interactive jupyter notebook demo that allows you to play with training data algorithms configurations and immediately see the results charts and predictions right in your browser in most cases the explanations are based on this great machine learning course https www coursera org learn machine learning by andrew ng the purpose of this repository is not to implement machine learning algorithms by using 3 sup rd sup party library one liners but rather to practice implementing these algorithms from scratch and get better understanding of the mathematics behind each algorithm that s why all algorithms implementations are called homemade and not intended to be used for production supervised learning in supervised learning we have a set of training data as an input and a set of labels or correct answers for each training set as an output then we re training our model machine learning algorithm parameters to map the input to the output correctly to do correct prediction the ultimate purpose is to find such model parameters that will successfully continue correct input output mapping predictions even for new input examples regression in regression problems we do real value predictions basically we try to draw a line plane n dimensional plane along the training examples usage examples stock price forecast sales analysis dependency of any number etc linear regression math linear regression homemade linear regression theory and links for further readings code linear regression homemade linear regression linear regression py implementation example demo univariate linear regression https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks linear regression univariate linear regression demo ipynb predict country happiness score by economy gdp demo multivariate linear regression https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks linear regression multivariate linear regression demo ipynb predict country happiness score by economy gdp and freedom index demo non linear regression https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks linear regression non linear regression demo ipynb use linear regression with polynomial and sinusoid features to predict non linear dependencies classification in classification problems we split input examples by certain characteristic usage examples spam filters language detection finding similar documents handwritten letters recognition etc logistic regression math logistic regression homemade logistic regression theory and links for further readings code logistic regression homemade logistic regression logistic regression py implementation example demo logistic regression linear boundary https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks logistic regression logistic regression with linear boundary demo ipynb predict iris flower class based on petal length and petal width demo logistic regression non linear boundary https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks logistic regression logistic regression with non linear boundary demo ipynb predict microchip validity based on param 1 and param 2 demo multivariate logistic regression mnist https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks logistic regression multivariate logistic regression demo ipynb recognize handwritten digits from 28x28 pixel images demo multivariate logistic regression fashion mnist https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks logistic regression multivariate logistic regression fashion demo ipynb recognize clothes types from 28x28 pixel images unsupervised learning unsupervised learning is a branch of machine learning that learns from test data that has not been labeled classified or categorized instead of responding to feedback unsupervised learning identifies commonalities in the data and reacts based on the presence or absence of such commonalities in each new piece of data clustering in clustering problems we split the training examples by unknown characteristics the algorithm itself decides what characteristic to use for splitting usage examples market segmentation social networks analysis organize computing clusters astronomical data analysis image compression etc k means algorithm math k means algorithm homemade k means theory and links for further readings code k means algorithm homemade k means k means py implementation example demo k means algorithm https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks k means k means demo ipynb split iris flowers into clusters based on petal length and petal width anomaly detection anomaly detection also outlier detection is the identification of rare items events or observations which raise suspicions by differing significantly from the majority of the data usage examples intrusion detection fraud detection system health monitoring removing anomalous data from the dataset etc anomaly detection using gaussian distribution math anomaly detection using gaussian distribution homemade anomaly detection theory and links for further readings code anomaly detection using gaussian distribution homemade anomaly detection gaussian anomaly detection py implementation example demo anomaly detection https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks anomaly detection anomaly detection gaussian demo ipynb find anomalies in server operational parameters like latency and threshold neural network nn the neural network itself isn t an algorithm but rather a framework for many different machine learning algorithms to work together and process complex data inputs usage examples as a substitute of all other algorithms in general image recognition voice recognition image processing applying specific style language translation etc multilayer perceptron mlp math multilayer perceptron homemade neural network theory and links for further readings code multilayer perceptron homemade neural network multilayer perceptron py implementation example demo multilayer perceptron mnist https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks neural network multilayer perceptron demo ipynb recognize handwritten digits from 28x28 pixel images demo multilayer perceptron fashion mnist https nbviewer jupyter org github trekhleb homemade machine learning blob master notebooks neural network multilayer perceptron fashion demo ipynb recognize the type of clothes from 28x28 pixel images machine learning map machine learning map images machine learning map png the source of the following machine learning topics map is this wonderful blog post https vas3k ru blog machine learning prerequisites installing python make sure that you have python installed https realpython com installing python on your machine you might want to use venv https docs python org 3 library venv html standard python library to create virtual environments and have python pip and all dependent packages to be installed and served from the local project directory to avoid messing with system wide packages and their versions installing dependencies install all dependencies that are required for the project by running bash pip install r requirements txt launching jupyter locally all demos in the project may be run directly in your browser without installing jupyter locally but if you want to launch jupyter notebook http jupyter org locally you may do it by running the following command from the root folder of the project bash jupyter notebook after this jupyter notebook will be accessible by http localhost 8888 launching jupyter remotely each algorithm section contains demo links to jupyter nbviewer http nbviewer jupyter org this is fast online previewer for jupyter notebooks where you may see demo code charts and data right in your browser without installing anything locally in case if you want to change the code and experiment with demo notebook you need to launch the notebook in binder https mybinder org you may do it by simply clicking the execute on binder link in top right corner of the nbviewer images binder button place png datasets the list of datasets that is being used for jupyter notebook demos may be found in data folder data supporting the project you may support this project via github https github com sponsors trekhleb or patreon https www patreon com trekhleb author trekhleb https trekhleb dev | python jupyter jupyter-notebook machine-learning machinelearning machine-learning-algorithms algorithm | ai |
multichain-explorer | this version of multichain explorer has been deprecated we recommend upgrading to multichain explorer 2 https github com multichain multichain explorer 2 multichain explorer multichain explorer is a free blockchain browser for multichain http www multichain com blockchains https github com multichain multichain explorer copyright c coin sciences ltd copyright c 2011 2012 2013 by abe developers license gnu affero general public license see the file license txt portions copyright c 2010 gavin andresen see bct license txt welcome to multichain explorer this software reads the multichain block file transforms and loads the data into a database and presents a web interface similar to that popularized by bitcoin block explorers like http blockexplorer com multichain explorer is a fork of the popular abe https github com bitcoin abe bitcoin abe project to add support for multichain blockchains with permissions assets streams filters and upgrades multichain nodes must be online for all explorer functions to work multichain explorer is still under development so things may break or change system requirements you must have python 2 x installed on your system to run multichain explorer on ubuntu you will need to install the following dependencies sudo apt get install sqlite3 libsqlite3 dev sudo apt get install python dev sudo apt get install python pip sudo pip install upgrade pip sudo pip install pycrypto sudo pip install py ubjson on centos you will need to install the following dependencies sudo yum install epel release sudo yum install python pip sudo pip install upgrade pip sudo yum install sqlite devel sudo yum install python devel sudo yum groupinstall development tools sudo pip install pycrypto sudo pip install py ubjson multichain compatibility multichain explorer currently supports all multichain 1 0 x release versions and all multichain 2 versions installation to install multichain explorer for the current user recommended cd multichain explorer python setup py install user if you have root permission and want to install multichain explorer for all users on the system cd multichain explorer sudo python setup py install the explorer needs to connect to a local multichain node using the json rpc api and it also reads the blockchain s contents from disk so before configuring the explorer make sure you have a multichain blockchain up and running create and launch a multichain blockchain if you do not yet have a chain you want to explore download multichain http www multichain com download install to install multichain and create a chain named chain1 as follows multichain util create chain1 multichaind chain1 daemon by default the runtime parameter http www multichain com developers runtime parameters txindex is enabled so that the node keeps track of all transactions across the blockchain and not just those for the node s wallet this is required for the explorer to work correctly multichain explorer supports viewing streams which the node has subscribed to launch multichain with the runtime parameter autosubscribe streams to automatically subscribe to every stream the rest of this document assumes your blockchain is named chain1 if not please substitute accordingly configure multichain conf the explorer needs to communicate with the blockchain using json rpc when you created the blockchain the json rpc connection details were automatically created by multichain and stored in a file named multichain conf the explorer will read this file if you examine the file you will see a username and password have been auto generated cd multichain chain1 cat multichain conf all you need to do is add the rpc port number copy the default rpc port value from params dat and add an entry to multichain conf as follows cd multichain chain1 grep rpc params dat make a note of the default rpc port value let s say it s 1234 and add it to multichain conf echo rpcport 1234 multichain conf configure the explorer the bundled example config file chain1 example conf can be used as a template for your own chain cd multichain explorer cp chain1 example conf chain1 conf you can store the config file chain1 conf anywhere you want when you launch the explorer you can specify the location of your config file by default it will look for a config file in the current directory the following changes can be made change port to the port number for serving web pages make sure your host s firewall allows traffic through that port change host to 0 0 0 0 to serve web pages to anybody make sure there is only a single host entry in the config file change dirname to match the directory for your blockchain change chain to set how the chain should be listed in the explorer change connect args for the location to store the explorer database note the explorer will automatically read multichain specific parameters such as the magic handshake address checksum version and script version bytes from params dat launch the explorer to load existing blockchain data into the explorer cd multichain explorer python m mce abe config chain1 conf commit bytes 100000 no serve look for output such as block tx 1 1 block tx 2 2 this step may take several minutes to even days depending on chain size and hardware to launch the explorer and serve web pages from your local computer cd multichain explorer python m mce abe config chain1 conf by default the explorer will be listening for web requests on port 2750 unless you changed it in the explorer s configuration file in your browser visit http localhost 2750 to launch the explorer on a server make sure the explorer is not accidentally terminated when you close your ssh terminal connection cd multichain explorer nohup python m mce abe config chain1 conf to check the explorer is runnning in your browser visit http ip address of server 2750 reset the explorer to start over with new chain data for a chain of the same name simply 1 stop the explorer 2 delete the explorer database file chain1 explorer sqlite set in connect args parameter in chain1 conf 3 launch the explorer as above advanced configuration options the following options can be set in the explorer config file chain1 conf or as a command line option with the format option value home refresh interval secs specifies how frequently the home page refreshes itself when open in a browser window the default is every 60 seconds recent tx interval ms specifies how frequently the home page refreshes the recent transactions table including any mempool transactions the default is every 5000 milliseconds 5 seconds catch up tx interval secs specifies how frequently the explorer will load blockchain transactions into the explorer database the default is every 60 seconds misc notes currently it is not recommended to configure multiple chains in one config file as the search function does not search across chains for an address you can run two instances of the explorer with the same config file with one being passed the no serve argument and the other no load so that one instance only loads data into the database and the other only serves web pages | blockchain |
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JellyCoding_Practical_C_Programming | jellycoding practical c programming this is jelly coding lecture for learn c programming to design to practical embedded system software jelly coding are sofware design and coding school in south korea we like software programming of robotics and web programming https computer training school 971 business site | os |
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awesome-blockchain-security | awesome blockchain security blogs security ethereum foundation blog https blog ethereum org category security openzeppelin blog https blog openzeppelin com blockchain trail of bits blog https blog trailofbits com category blockchain consensys diligence blog https consensys net diligence blog peckshield inc blog https blog peckshield com seebug blockchain https paper seebug org category blockchain emin g n sirer https hackingdistributed com phil does security https pdaian com blog samczsun https samczsun com cmichel https cmichel io ctfs ethernaut https ethernaut openzeppelin com capture the ether https capturetheether com challenges etherhack https etherhack positive com security innovation blockchain ctf https blockchain ctf securityinnovation com damn vulnerable defi https www damnvulnerabledefi xyz paradigm ctf 2021 https github com paradigm operations paradigm ctf 2021 defihack https www defihack xyz solidity security references swc registry https swcregistry io decentralized application security project https www dasp co solidity security considerations https docs soliditylang org en latest security considerations html ethereum smart contract security best practices https consensys github io smart contract best practices examples of solidity security issues https github com crytic not so smart contracts public blockchain vulnerabilities go ethereum security advisories https github com ethereum go ethereum security advisories bitcoin cve wiki https en bitcoin it wiki common vulnerabilities and exposures bitcoin cve list http cve mitre org cgi bin cvekey cgi keyword bitcoin bitcoin weaknesses https en bitcoin it wiki weaknesses ethereum foundation vulnerability disclosures https github com ethereum public disclosures incidents blockchain graveyard https magoo github io blockchain graveyard blocksec incidents https github com m4xx101 blocksec incidents tools ethtx transaction decoder https ethtx info ethereum virtual machine opcodes https www ethervm io ethereum signature database https www 4byte directory eveem org decompiler https eveem org dune analytics https dune xyz home security tools https consensys github io smart contract best practices security tools bloxy https bloxy info tenderly https dashboard tenderly co tutela https tutela xyz audit reports trail of bits https github com trailofbits publications openzeppelin https blog openzeppelin com security audits consensys diligence https consensys net diligence audits blockchain security database https consensys github io blockchainsecuritydb quantstamp https certificate quantstamp com slowmist https github com slowmist knowledge base tree master open report peckshield https github com peckshield publications tree master audit reports arcadia group https arcadiamgroup com audits audit html mixbytes https github com mixbytes audits public forums stackexchange ethereum security https ethereum stackexchange com questions tagged security bug bounty platform ethereum bounty program https bounty ethereum org immunefi https immunefi com slowmist zone https www slowmist io code4rena https code4rena com bug bounty in hackerone monero https hackerone com monero all reports have been disclosed tron https hackerone com tronfoundation hyperledger https hackerone com hyperledger tendermint https hackerone com tendermint coinbase https hackerone com coinbase bitmex https hackerone com bitmex crypto com https hackerone com crypto myetherwallet https hackerone com myetherwallet blockchain https hackerone com blockchain | blockchain |
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mqtt_iot_push | iot push netty mqtt 3 1 1 mqtt 1 2 3 netty4 1 final springboot mqtt 3 1 1 a name 1 mqtt a mqtt ibm im xmpp mqtt mqtt a name 2 a example iot push server starter test session test test yy qos0 qos1 qos2 ssl ws spring a name 3 a lombok springboot jdk8 ide yml properties yml https github com 1ssqq1lxr iot push blob master iot push server starter test src main resources application yml test jmeter mqtt https github com tuanhiep mqtt jmeter example iot push client starter test springboot yml https github com 1ssqq1lxr iot push blob master iot push client starter test src main resources application yml mqttlistener mqttmessagelistener topic autowired procuder producer java https github com 1ssqq1lxr iot push blob master iot push client starter test src main java com lxr iot example mqttmain java 658212670 | server |
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sql-challenge | colleen547 sql challenge b employee sql database a mystery in two parts b br in this project tables were designed to hold data in csvs the csvs were imported into a sql database and questions were answered about the data by performing the following steps br 1 data modeling 2 data engineering 3 data analysis div align center img src static images relations sql png width 350 height 250 div br b i background scenario b i br imagine you have just been hired as a new data engineer and your first major task is a research project on employees of the corporation from the 1980s and 1990s but all that remains of the database of employees from that period are six csv files br br b data modeling b the csvs were inspected and an erd of the tables was sketched out using http www quickdatabasediagrams com b data engineering b using the information obtained a table schema was created for each of the six csv files including specifying data types primary keys foreign keys and other constraints for the primary keys columns were checked to identify if columns were unique otherwise a composite key which takes two primary keys in order to uniquely identify a row were created care was taken to create tables in the correct order to handle foreign keys next each csv file was imported into the corresponding sql table in the same order that the tables were created and by accounting for headers to avoid errors b data analysis b once the database was complete the following were created 1 the following details of each employee employee number last name first name sex and salary 2 first name last name and hire date for employees who were hired in 1986 3 the manager of each department with the following information department number department name the manager s employee number last name first name 4 the department of each employee with the following information employee number last name first name and department name 5 first name last name and sex for employees whose first name is hercules and last names begin with b 6 all employees in the sales department including their employee number last name first name and department name 7 all employees in the sales and development departments including their employee number last name first name and department name 8 in descending order the frequency count of employee last names i e how many employees share each last name was listed br br b i continuation of scenario b i br as you examine the data you are overcome with a creeping suspicion that the dataset is fake you surmise that your boss handed you spurious data in order to test the data engineering skills of a new employee br div align center img src static images boss and employee jfif width 400 height 250 div br to confirm the following steps were taken to generate a visualization of the data 1 the sql database was imported into pandas yes the csvs also could have been read directly in pandas this step required some additional research 2 a histogram was created to visualize the most common salary ranges for employees 3 a bar chart was created of average salary by title br br b i epilogue i b br evidence in hand you march into your boss s office and present the visualization with a sly grin your boss thanks you for your work on your way out of the office you hear the words search your id number you look down at your badge to see that your employee id number is 499942 br div align left img src static images employee photo id badge jfif width 250 height 250 div | server |
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wink-nlp | winknlp build status https travis ci com winkjs wink nlp svg branch master https travis ci com github winkjs wink nlp coverage status https coveralls io repos github winkjs wink nlp badge svg branch master https coveralls io github winkjs wink nlp branch master known vulnerabilities https snyk io test github winkjs wink nlp badge svg https snyk io test github winkjs wink nlp cii best practices https bestpractices coreinfrastructure org projects 6035 badge https bestpractices coreinfrastructure org projects 6035 gitter https img shields io gitter room nwjs nw js svg https gitter im winkjs lobby follow on twitter https img shields io twitter follow winkjs org style social https twitter com winkjs org developer friendly natural language processing img align right src https decisively github io wink logos logo title png width 100px https winkjs org winknlp is a javascript library for natural language processing nlp designed specifically to make development of nlp applications easier and faster winknlp is optimized for the right balance of performance and accuracy it is built ground up with no external dependency https snyk io test github winkjs wink nlp tab dependencies and has a lean code base of 10kb minified gzipped https bundlephobia com package wink nlp a test coverage of 100 https coveralls io github winkjs wink nlp branch master and compliance with the open source security foundation best practices https bestpractices coreinfrastructure org en projects 6035 make winknlp the ideal tool for building production grade systems with confidence winknlp with full typescript support https github com winkjs wink nlp blob master types index d ts runs on node js web browsers https github com winkjs wink nlp how to install for web browser and deno https github com winkjs wink nlp how to run on deno build amazing apps quickly wikipedia article timeline https observablehq com winkjs how to visualize timeline of a wiki article context aware word cloud https observablehq com winkjs how to create a context aware word cloud key sentences detection https observablehq com winkjs how to visualize key sentences in a document img src https user images githubusercontent com 29990 202497363 19c30578 8146 4f36 9c4b 4de613610837 png https observablehq com winkjs how to visualize timeline of a wiki article img src https user images githubusercontent com 29990 202506181 1a926ee0 788f 4aa1 aeac a097f09fe747 png https observablehq com winkjs how to create a context aware word cloud img src https user images githubusercontent com 29990 202506490 7f999d12 8319 4969 b92b 0649559ffbe6 png https observablehq com winkjs how to visualize key sentences in a document head to live examples https winkjs org examples html to explore further blazing fast winknlp can easily process large amount of raw text at speeds over 650 000 tokens second nbsp on a m1 macbook pro in both browser and node js environments it even runs smoothly on a low end smartphone s browser environment benchmarking command node js node benchmark run https github com winkjs wink nlp tree master benchmark browser how to measure winknlp s speed on browsers https observablehq com winkjs how to measure winknlps speed on browsers features winknlp has a comprehensive natural language processing nlp pipeline https winkjs org wink nlp processing pipeline html covering tokenization sentence boundary detection sbd negation handling sentiment analysis part of speech pos tagging named entity recognition ner custom entities recognition cer it offers a rich feature set table tr td width 330px fast lossless multilingual tokenizer td td for example the multilingual text string b code style font size 0 9em hola hi bonjour ch ri code b is tokenized as code style font size 0 9em hola hi bonjour ch ri code the tokenizer processes text at a speed close to b 4 million b tokens second on a m1 mbp s browser td tr tr td developer friendly and intuitive a href https winkjs org wink nlp getting started html api a td td with winknlp process any text using a simple declarative syntax most a href https observablehq com winkjs how to build a naive wikification tool collection winkjs winknlp recipes live examples a have b 30 40 b lines of code td tr tr td best in class a href https winkjs org wink nlp visualizing markup html text visualization a td td programmatically b a href https winkjs org wink nlp markup html mark a b tokens sentences entities etc using html mark or any other tag of your choice td tr tr td extensive text processing features td td remove and or retain tokens with specific attributes such as part of speech named entity type token type stop word shape and many more compute flesch reading ease score generate n grams normalize lemmatise or stem checkout how with the right kind of text preprocessing even a href https github com winkjs wink naive bayes text classifier readme naive bayes classifier a achieves b impressive 90 b accuracy in sentiment analysis and chatbot intent classification tasks td tr tr td pre trained a href https winkjs org wink nlp language models html language models a td td compact sizes starting from a href https bundlephobia com package wink eng lite web model 1mb minified gzipped a reduce model loading time drastically down to 1 second on a 4g network td tr tr td host of a href https winkjs org wink nlp its as helper html utilities tools a td td bm25 vectorizer several similarity methods cosine tversky s rensen dice otsuka ochiai helpers to get bag of words frequency table lemma stem stop word removal and many more td tr table winkjs also has packages like naive bayes classifier https github com winkjs wink naive bayes text classifier multi class averaged perceptron https github com winkjs wink perceptron and popular token and string distance methods https github com winkjs wink distance which complement winknlp documentation concepts https winkjs org wink nlp getting started html everything you need to know to get started api reference https winkjs org wink nlp read doc html explains usage of apis with examples change log https github com winkjs wink nlp blob master changelog md version history along with the details of breaking changes if any examples https winkjs org examples html live examples with code to give you a head start installation use npm https www npmjs com package wink nlp install shell npm install wink nlp save in order to use winknlp after its installation you also need to install a language model according to the node version used the table below outlines the version specific installation command node js version installation 16 or 18 npm install wink eng lite web model save 14 or 12 node e require wink nlp models install the wink eng lite web model https github com winkjs wink eng lite web model is designed to work with node js version 16 or 18 it can also work on browsers as described in the next section this is the recommended model the second command installs the wink eng lite model https github com winkjs wink eng lite model which works with node js version 14 or 12 how to configure typescript project enable esmoduleinterop https www typescriptlang org tsconfig esmoduleinterop and allowsyntheticdefaultimports https www typescriptlang org tsconfig allowsyntheticdefaultimports in the tsconfig json file compileroptions esmoduleinterop true allowsyntheticdefaultimports true how to install for web browser if you re using winknlp in the browser use the wink eng lite web model https www npmjs com package wink eng lite web model learn about its installation and usage in our guide to using winknlp in the browser https winkjs org wink nlp wink nlp in browsers html explore winknlp recipes https observablehq com collection winkjs winknlp recipes on observable https observablehq com for live browser based examples how to run on deno https deno land follow the example on replit https replit com sanjayaksaxena wink nlp deno example index ts get started here is the hello world of winknlp javascript load wink nlp package const winknlp require wink nlp load english language model const model require wink eng lite web model instantiate winknlp const nlp winknlp model obtain its helper to extract item properties const its nlp its obtain as reducer helper to reduce a collection const as nlp as nlp code const text hello world how are you const doc nlp readdoc text console log doc out hello world how are you console log doc sentences out hello world how are you console log doc entities out its detail value type emoji console log doc tokens out hello world how are you console log doc tokens out its type as freqtable word 5 punctuation 2 emoji 1 experiment with winknlp on runkit https npm runkit com wink nlp speed accuracy the winknlp https winkjs org wink nlp processes raw text at 650 000 tokens per second with its wink eng lite web model https github com winkjs wink eng lite web model when benchmarked https github com bestiejs benchmark js using ch 13 of ulysses by james joyce on a m1 macbook pro machine with 16gb ram the processing included the entire nlp pipeline tokenization sentence boundary detection negation handling sentiment analysis part of speech tagging and named entity extraction this speed is way ahead of the prevailing speed benchmarks the benchmark was conducted on node js versions 16 and 18 https nodejs org en about releases it pos tags a subset of wsj corpus with an accuracy of 95 this includes tokenization of raw text prior to pos tagging the present state of the art is at 97 accuracy but at lower speeds and is generally computed using gold standard pre tokenized corpus its general purpose sentiment analysis delivers a f score https en wikipedia org wiki f1 score of 84 5 when validated using amazon product review sentiment labelled sentences data set https archive ics uci edu ml machine learning databases 00331 at uci machine learning repository https archive ics uci edu ml index php the current benchmark accuracy for specifically trained models can range around 95 memory requirement wink nlp delivers this performance with the minimal load on ram for example it processes the entire history of india volume i https en wikisource org wiki history of india volume 1 with a total peak memory requirement of under 80mb the book has around 350 pages which translates to over 125 000 tokens need help usage query please ask at stack overflow https stackoverflow com or discuss at wink js github discussions https github com winkjs wink nlp discussions or chat with us at wink js gitter lobby https gitter im winkjs lobby bug report if you spot a bug and the same has not yet been reported raise a new issue https github com winkjs wink nlp issues or consider fixing it and sending a pr new feature looking for a new feature request it via the new features ideas https github com winkjs wink nlp discussions categories new features ideas discussion forum or consider becoming a contributor https github com winkjs wink nlp blob master contributing md about winkjs winkjs https winkjs org is a family of open source packages for natural language processing machine learning and statistical analysis in nodejs the code is thoroughly documented for easy human comprehension and has a test coverage of 100 for reliability to build production grade solutions copyright license wink nlp is copyright 2017 23 graype systems private limited https graype in it is licensed under the terms of the mit license | natural-language-processing nlp tokenize sbd sentence-boundary-detection negation-handling sentiment-analysis pos-tagging ner named-entity-extraction custom-entity-detection word-vectors visualization pattern-matching wink wink-nlp chatbot hacktoberfest bm25 vectorizer | ai |
dml | idml d s machine learning is a machine learning toolkit for python focus on rightness but efficiency all code is based on numpy and scipy code files dml nn the code of neural networks dml lr logistic regression actually it s softmax dml dt decision tree cart algorithm dml cluster some cluster algorithm inculde kmeans kmedoids spectralcluster hierarchical cluster dml adab the adaboost algorithm dml knn the k nearest neighbor algorithm kd tree bbf implementing dml nb the naive bayesian support both continuous and descrete features dml svm the basic binary support vector machine dml cnn the simple convolutional neural networks dml cf some collaborative filtering algorithm implement include item based svd rbm dml tool include some basic tools for computing test include some test code for dml class format all class can be used in this way lr for example but there is still some different initialization parameters in different class also the predict function sorry for this but most class use pred and nn use nnpred i may formalize them in the future a lrc train images trian labels nor false a train 200 true pred a predict test images for the input x and y x must be a n m matrix and y is a vector length m where n is the feature and m is training case for the cluster method you can use a labels or a result to get the final result install dml is based on numpy scipy matplotlib you should install them first this packages uses setuptools which is the default way of installing python modules the install command is sudo is required in some system python setup py build python setup py install warning only python 2 is supported sorry for the python 3 user some method from numpy and scipy will report warning because of their version license wtfpl http www wtfpl net | ai |
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AI | ai several projects for the artificial intelligence course with topics such as recommender and rule based systems ontologies and natural language processing this project was done during a university course artificial intelligence and finished in may 2015 projects comments and reports are in spanish natural language processing prolog natural language processing in prolog the project consists in a personal agenda with a natural language interface in spanish if you d like to use it you may use swi prolog http www swi prolog org for example diaryreport pdf is a report of the project in spanish travel recommender this rule based system suggests the most suitable voyage given the characteristics of the user and the destinations the database is implemented using the deffacts constructor and the recommendations are possible with the usage of jess rules in order to execute the system you can use this plugin for eclipse http www jessrules com doc 70 eclipse html travelrecommendationreport pdf is a report of the project in spanish ontology prot g we propose an ontology about the domain of touristic journeys several instances are included so you can make queries in order to play with the ontology you need prot g http protege stanford edu travel recommender prot g jess integration of the previous ontology with the rule based system in jess to provide a more complex recommender system travelrecommendationreport2 pdf is a report of the project in spanish authors this project was developed by ana mar a mart nez g mez and v ctor adolfo gallego alcal licence code published under mit license see license license | prolog jess artificial-intelligence protege natural-language-processing recommender-system ontology ucm | ai |
Lua_thread_win | freertos simulator it can be used in windows and linux change here i add thread function for lua to the simulator which is from lua rtos lua rtos in their wiki https github com whitecatboard lua rtos esp32 wiki you have more information about lua rtos thread management functions thread management functions thread list table monitor all thread start function stack priority cpu name thread suspend thread id thread resume thread id thread stop thread id thread status thread id thread control functions thread sleep seconds thread sleepms milliseconds thread sleepus useconds note vs version supported vs2013 vs2015 others not tested platform supported win32 x86 | os |
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SmartLib | p align center a href https github com berkott smartlib target blank img src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fsmartliblogoblack png alt media token 2d36b3ef 7fe1 44aa 8ec1 e8c4867e33e9 a h1 smartlib h1 p fbla mobile app development submission for berkan and shiv from northview high school johns creek georgia goal develop an app to manage the issuance of books and to provide other information at a school library give the school a name the app must be able to do or show the following allow students and teachers to reserve books allow students and teachers to check out books remind students and teachers when books are overdue show a map of the school library features simple and concise packaging multiplatform android ios windows checkout by scanning or entering isbn reserve reminders updatable map through firebase and clear help page social media integration with 3 pages view below and in app social sharing easy navigation with a responsive layout bug free readable code with many comments sleek and high quality graphics bug reporter simple google oauth login with login sign up and auto login customizable school title and author fuzzy search backend in firebase for total control to the library adminsitrator how to download all releases are on the releases page https github com berkott smartlib releases android 1 on your phone go to menu settings security and check unknown sources to allow your phone to install apps from sources other than the google play store 2 download the apk onto your device from the release page 3 if you downloaded the apk onto your computer just simple email it to yourself and open it on your phone 4 simply install the apk and open it ios note you must have xcode installed on your computer 1 dowload the zip file from the release page 2 unzip the files into a directory of your choice 3 open the same directory as above with xcode 4 simply build the project on xcode and run it after download once you have downloaded smartlib just simply make an account by entering your email and a password of your choice and you are ready to begin using smartlib pages below is a quick explanation of all the pages with screen shots of what they can do video demo of reserving and checking out a book https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fsmartlibexamplecheckout mp4 alt media token ca972b52 3edd 4b83 9d83 07a2849e52cd login android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122046 png alt media token 0fe5b5e1 3fa5 481b aae0 789dc4d0909f img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios login jpg alt media token 6e6125ac 66cc 4914 8241 eeebd240870a when you first open the app you come to the login page which allows for auto login once you are logged in on a device once mylib android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122120 png alt media token d3e8f66c 3bea 4efc b051 dffe5735d136 img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios mylib popular jpg alt media token ba7fb328 8b97 4dfc bd65 73c2cb6ca294 mylib is like the home page of the app and on this page you are able to view reminders and see popular books from here you can even see upcoming events that the library is hosting catalog android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122155 png alt media token c102a1f1 5c48 4965 8a86 943bd4d78b41 img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios mylib popular jpg alt media token ba7fb328 8b97 4dfc bd65 73c2cb6ca294 on the catalog page you are able to view all books currently available in your library search android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122205 png alt media token f595786f 4886 41a4 9fd9 d56d7d5b6728 img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios search jpg alt media token cc8b1587 f357 44df bfdd db40c83899f1 the search page is the page that is opened once you conduct a search using the search bar at the top of the app book page android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122132 png alt media token 3dd3fd6b 218c 4236 a707 913e4cc560a1 img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios search book jpg alt media token b55db69d e547 4b46 af3b 6e55babc25fd this is the page you are directed to when you press the view button for a book checkout android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122221 png alt media token 1f831465 0f21 4b9c aac0 04babb6eb5f8 img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios checkout jpg alt media token 75aa1b1e 41df 4d85 a6b9 6cba42c026c1 once you navigate to the checkout page you can checkout books by either typing in the isbn or by scanning the book s isbn map android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122225 png alt media token 0f5c31af 6ede 4a45 8eff f4f43ab9eb98 img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios map jpg alt media token 3a8d4c17 5ec3 4459 93ee 27872d7a5bb1 the map page offers a nice layout for the map the administrator can also change the map in the backend allowing for operability with different libraries settings android ios img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122228 png alt media token 8248d451 29dd 4855 a50a 497164762b7b img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios settings jpg alt media token 23e842b4 76a4 4a61 b824 26481235467b img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fscreenshot 20180430 122244 png alt media token c031ff21 6065 4850 b1fa 313d6deb7416 img width 250 src https firebasestorage googleapis com v0 b libraryapp backend appspot com o screenshotsandpics 2fios bug report jpg alt media token ce38c4ad c079 4a4a 9d52 76e177989eb8 this page is opened by opening the side menu and it allows you to get help view about submit bug reports logout and share the app software used google firebase onsenui monaca fusejs jquery sources of information https firebase google com docs https docs monaca io en https onsen io v2 api js http fusejs io https api jquery com templates used https onsen io playground framework vanilla category common 20patterns module kitchensink social media smartlibnhs https twitter com smartlibnhs https fb me smartlibnhs https www instagram com smartlibnhs copyright c 2018 northview fbla | front_end |
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AntilockBrakingSystem | antilockbrakingsystem a report on embedded design process of antilock braking system | os |
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ling | ling is a golang toolkit for natural language processing godoc https godoc org github com liuzl ling status svg https godoc org github com liuzl ling go report card https goreportcard com badge github com liuzl ling https goreportcard com report github com liuzl ling implementation references similar nlp tools stanford corenlp https stanfordnlp github io corenlp index html java spacy https spacy io python lingo https github com chewxy lingo golang multilingual text toknization unicode standard annex 29 http www unicode org reports tr29 blevesearch segment https github com liuzl segment text normalization text normalization in go https blog golang org normalization lemmatization stemming lemmatization stemming and lemmatization https nlp stanford edu ir book html htmledition stemming and lemmatization 1 html lemmatization lists http www lexiconista com datasets lemmatization sub datasets by mbm sub the unimorph project https unimorph github io gocc https github com liuzl gocc golang version opencc opencc https github com byvoid opencc chinese character jian fan converting library in go https github com go cc cc jianfan traditional and simplified chinese conversion in go https github com siongui gojianfan han unification https en wikipedia org wiki han unification tagging regex tagger commonregex https github com mingrammer commonregex a collection of common regular expressions for go xurls https github com mvdan xurls a go package of regex for urls natural language detection getlang is much slower than franco getlang https github com rylans getlang franco https github com liuzl franco test scripts https github com liuzl org name parser blob master parse pprof sh franco duration 5 12s 26 93 getlang duration 11 58s 59 54 | tokenization normalization lemmatization opencc nlp spacy corenlp | ai |
dolly | dolly databricks dolly https huggingface co databricks dolly v2 12b is an instruction following large language model trained on the databricks machine learning platform that is licensed for commercial use based on pythia 12b dolly is trained on 15k instruction response fine tuning records databricks dolly 15k https huggingface co datasets databricks databricks dolly 15k generated by databricks employees in capability domains from the instructgpt paper including brainstorming classification closed qa generation information extraction open qa and summarization dolly v2 12b is not a state of the art model but does exhibit surprisingly high quality instruction following behavior not characteristic of the foundation model on which it is based databricks is committed to ensuring that every organization and individual benefits from the transformative power of artificial intelligence the dolly model family represents our first steps along this journey and we re excited to share this technology with the world the model is available on hugging face as databricks dolly v2 12b https huggingface co databricks dolly v2 12b model overview dolly v2 12b is a 12 billion parameter causal language model created by databricks https databricks com that is derived from eleutherai s https www eleuther ai pythia 12b https huggingface co eleutherai pythia 12b and fine tuned on a 15k record instruction corpus https github com databrickslabs dolly tree master data generated by databricks employees and released under a permissive license cc by sa known limitations performance limitations dolly v2 12b is not a state of the art generative language model and though quantitative benchmarking is ongoing is not designed to perform competitively with more modern model architectures or models subject to larger pretraining corpuses the dolly model family is under active development and so any list of shortcomings is unlikely to be exhaustive but we include known limitations and misfires here as a means to document and share our preliminary findings with the community in particular dolly v2 12b struggles with syntactically complex prompts programming problems mathematical operations factual errors dates and times open ended question answering hallucination enumerating lists of specific length stylistic mimicry having a sense of humor etc moreover we find that dolly v2 12b does not have some capabilities such as well formatted letter writing present in the original model dataset limitations like all language models dolly v2 12b reflects the content and limitations of its training corpuses the pile gpt j s pre training corpus contains content mostly collected from the public internet and like most web scale datasets it contains content many users would find objectionable as such the model is likely to reflect these shortcomings potentially overtly in the case it is explicitly asked to produce objectionable content and sometimes subtly as in the case of biased or harmful implicit associations databricks dolly 15k the training data on which dolly v2 12b is instruction tuned represents natural language instructions generated by databricks employees during a period spanning march and april 2023 and includes passages from wikipedia as references passages for instruction categories like closed qa and summarization to our knowledge it does not contain obscenity intellectual property or personally identifying information about non public figures but it may contain typos and factual errors the dataset may also reflect biases found in wikipedia finally the dataset likely reflects the interests and semantic choices of databricks employees a demographic which is not representative of the global population at large databricks is committed to ongoing research and development efforts to develop helpful honest and harmless ai technologies that maximize the potential of all individuals and organizations getting started with response generation if you d like to simply test the model without training the model is available on hugging face as databricks dolly v2 12b https huggingface co databricks dolly v2 12b to use the model with the transformers library on a machine with a100 gpus from transformers import pipeline import torch instruct pipeline pipeline model databricks dolly v2 12b torch dtype torch bfloat16 trust remote code true device map auto you can then use the pipeline to answer instructions instruct pipeline explain to me the difference between nuclear fission and fusion generating on other instances a100 instance types are not available in all cloud regions or can be hard to provision inference is possible on other gpu instance types a10 gpus the 6 9b and 2 8b param models should work as is to generate using the 12b param model on a10s ex g5 4xlarge 1 x a10 24gb it s necessary to load and run generating using 8 bit weights which impacts the results slightly also install bitsandbytes add model kwargs load in 8bit true to the pipeline command shown above v100 gpus when using v100s ex p3 2xlarge 1 x v100 16gb nc6s v3 in all cases set torch dtype torch float16 in pipeline instead otherwise follow the steps above the 12b param model may not function well in 8 bit on v100s getting started with training add the dolly repo to databricks under repos click add repo enter https github com databrickslabs dolly git then click create repo start a 13 x ml includes apache spark 3 4 0 gpu scala 2 12 or later single node cluster with node type having 8 a100 gpus e g standard nd96asr v4 or p4d 24xlarge note that these instance types may not be available in all regions or may be difficult to provision in databricks note that you must select the gpu runtime first and unselect use photon for these instance types to appear where supported open the train dolly notebook in the repo which is the train dolly py file in the github dolly repo attach to your gpu cluster and run all cells when training finishes the notebook will save the model under dbfs dolly training training on other instances a100 instance types are not available in all cloud regions or can be hard to provision training is possible on other gpu instance types for smaller dolly model sizes and with small modifications to reduce memory usage these modifications are not optimal but are simple to make select your gpu family type from the gpu family widget enter the number of gpus available in the num gpus widget and then run the rest of the code a number of different options will be set for you to train the model for one of the following gpu types a100 default a10 v100 details of the different configurations are below a100 gpus a100 gpus are preferred for training all model sizes and are the only gpus that can train the 12b param model in a reasonable amount of time as such this is the default configuration as set in the a100 config json deepspeed config file a10 gpus training the 12b param model is not recommended on a10s to train the 6 9b param model on a10 instances ex g5 24xlarge 4 x a10 24gb standard nv72ads a10 v5 2 x a10 simply select a10 from the gpu family widget and enter the number of gpus available in the num gpus widget then run the rest of the code this will use the a10 config json deepspeed config file which makes the following changes per device train batch size and per device eval batch size are set to 3 in the train dolly py invocation of deepspeed within the zero optimization section of the deepspeed config we have added offload optimizer device cpu pin memory true v100 gpus to run on v100 instances with 32gb of gpu memory ex p3dn 24xlarge or standard nd40rs v2 simply select v100 from the gpu family widget and enter the number of gpus available in the num gpus widget and then run the rest of the code this will use the v100 config json deepspeed config file which makes the following changes it makes the changes described above for a10s it enables fp16 floating point format it sets the per device train batch size and per device eval batch size to 3 you may be able to slightly increase the batch size with 32gb instances compared to what works above for 24gb a10s running unit tests locally pyenv local 3 8 13 python m venv venv venv bin activate pip install r requirements dev txt run pytest sh citation online databricksblog2023dollyv2 author mike conover and matt hayes and ankit mathur and jianwei xie and jun wan and sam shah and ali ghodsi and patrick wendell and matei zaharia and reynold xin title free dolly introducing the world s first truly open instruction tuned llm year 2023 url https www databricks com blog 2023 04 12 dolly first open commercially viable instruction tuned llm urldate 2023 06 30 | databricks gpt chatbot dolly | ai |
LLM_AssemblyLine | llm assemblyline llm assemblyline is a tool designed to empower users with little to no programming experience to rapidly build customized ai applications this intelligent tool focuses on creating both personal and enterprise level workflows based on large language model llm prompts attempting to streamline the enterprise productivity innovation process to the individual level by simplifying the ai development process llm assemblyline aims to democratize ai and make it more accessible to everyone and enterprises of all sizes demo https ai wonderbricks com about us https www wonderbricks com https user images githubusercontent com 89369032 232462002 491b87f9 0795 4d1d bb94 f8430118e398 mp4 getting started 1 installation git clone https github com wonderbricks tech llm assemblyline git npm install 2 replace the params in env template in the project directory openai api key your api key model name model name 3 rename the env template to env local available scripts in the project directory you can run yarn start local it runs the app in the development mode open http localhost 3000 http localhost 3000 to view it in your browser contributing we welcome contributions from the community if you d like to contribute to llm assemblyline please feel free to reach us via info wonderbricks com license llm assemblyline is released under mit license license md | ai |
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EmbeddedSystemsDesignProject | cse190wi21 assignment3 assignment 2 ble drop detection description adds in the bluetooth low energy shield to allow bluetooth communication on drop tag name a14566071 setup the files ble h and ble cpp have been changed from the original so keep that in mind when loading my code onto the microcontroller operation at first the ble is put into standby mode once dropped the ble will turn on and look to make connections with nearby devices once connected the ble will send the message tag a14566071 dropped time ago where time will be either the number of seconds if it has been less than one minute or number of minutes since the device was first dropped maxing out at 255 minutes the message will be sent over the course of multiple ble packets as the message is too large so on the phone app you should see something like the following output tag a14566 received notification received from 071 droppe received notification received from d 10 second received notification received from s ago received notification received from to stop the device sending bluetooth information and reset drop detection the user should send the single character s from the phone app the ble will then be hard reset and put into standby mode until the next drop is detected and the process will repeat | os |
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PostgreSQL | sql employee database a mystery in two parts background it is a beautiful spring day and it is two weeks since you have been hired as a new data engineer at pewlett hackard your first major task is a research project on employees of the corporation from the 1980s and 1990s all that remain of the database of employees from that period are six csv files in this assignment you will design the tables to hold data in the csvs import the csvs into a sql database and answer questions about the data in other words you will perform 1 data engineering 3 data analysis note you may hear the term data modeling in place of data engineering but they are the same terms data engineering is the more modern wording instead of data modeling before you begin 1 create a new repository for this project called sql challenge do not add this homework to an existing repository 2 clone the new repository to your computer 3 inside your local git repository create a directory for the sql challenge use a folder name to correspond to the challenge employeesql 4 add your files to this folder 5 push the above changes to github instructions data modeling inspect the csvs and sketch out an erd of the tables feel free to use a tool like http www quickdatabasediagrams com http www quickdatabasediagrams com data engineering use the information you have to create a table schema for each of the six csv files remember to specify data types primary keys foreign keys and other constraints for the primary keys check to see if the column is unique otherwise create a composite key https en wikipedia org wiki compound key which takes to primary keys in order to uniquely identify a row be sure to create tables in the correct order to handle foreign keys import each csv file into the corresponding sql table note be sure to import the data in the same order that the tables were created and account for the headers when importing to avoid errors data analysis once you have a complete database do the following 1 list the following details of each employee employee number last name first name sex and salary 2 list first name last name and hire date for employees who were hired in 1986 3 list the manager of each department with the following information department number department name the manager s employee number last name first name 4 list the department of each employee with the following information employee number last name first name and department name 5 list first name last name and sex for employees whose first name is hercules and last names begin with b 6 list all employees in the sales department including their employee number last name first name and department name 7 list all employees in the sales and development departments including their employee number last name first name and department name 8 in descending order list the frequency count of employee last names i e how many employees share each last name epilogue evidence in hand you march into your boss s office and present the visualization with a sly grin your boss thanks you for your work on your way out of the office you hear the words search your id number you look down at your badge to see that your employee id number is 499942 submission create an image file of your erd create a sql file of your table schemata create a sql file of your queries create and upload a repository with the above files to github and post a link on bootcamp spot ensure your repository has regular commits i e 20 commits and a thorough readme md file copyright trilogy education services 2019 all rights reserved | postgresql postgres postgresql-database | server |
DATA-SCIENCE-NOTES | data science notes python machine learning sql tableau i m sharing the notes which is writen on my own by taking some industrial experts help hope this is very helpful to the data science community people the notes written is very simple and easy to understand and implement too thank you so much for refering my notes | ai |
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cedille-ai | cedille ai try out cedille in our playground https app cedille ai open ai huggingface cedille is available on huggingface https huggingface co cedille fr boris this is the most convenient way to use the model for most people mesh transformer model checkpoint french model 150k training steps boris https storage googleapis com cedille public models boris step 150000 tar gz 9 0gb tar file cedille is a gpt j model it can be run using the mesh transformer jax codebase https github com kingoflolz mesh transformer jax why is this repository empty the cedille model is open source the model checkpoints are provided above mit license it was trained using the mesh transformer jax codebase https github com kingoflolz mesh transformer jax apache 2 0 license it can be run either using the transformers library https github com huggingface transformers apache 2 0 license or mesh transformer jax https github com kingoflolz mesh transformer jax depending on your needs and that s all there is to it this repository is mostly here to guide you towards these resources cedille paper our paper is out now https arxiv org abs 2202 03371 thanks for citing our work if you make use of cedille bibtex misc muller2022cedille title cedille a large autoregressive french language model author martin m u ller and florian laurent year 2022 eprint 2202 03371 archiveprefix arxiv primaryclass cs cl links website https cedille ai playground https app cedille ai twitter https twitter com cedilleai paper https arxiv org abs 2202 03371 acknowledgement the project was made possible with the generous support from the google trc program https sites research google trc about cedille is based on the gpt j model https github com kingoflolz mesh transformer jax developed by eleutherai s wizards https www eleuther ai | nlp nlg machine-learning | ai |
solar-iot | phynos springboot web netty mqtt src lua solar solar api web api solar front solar core solar iot model solar iot codec solar ruler solar lua mqtt aop swagger2 mybatis jar spring profiles active pre java jar xxx jar spring profiles active test pre maven prod pre clean package dskiptests pprod pre | server |
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esp-button | esp button library for esp open rtos https github com superhouse esp open rtos to handle button and toggle input before you start using library you need to figure out how button is will be wired there are two ways to wire button active high signal goes from low to high when button is pressed active high wiring resources active high wiring png active low signal connects to ground when button is pressed active low wiring resources active low wiring png c include button h define button pin 5 void button callback button event t event void context printf button press n button config t config button config button active high int r button create button pin config button callback null if r printf failed to initialize a button n button config settings active level button active high or button active low which signal level corresponds to button press in case of button active low it automatically enables pullup resistor on button pin in case of button active high you need to have an additional pulldown pin to ground resistor on button pin long press time if set defines time in milliseconds after which button press is considered a long press if set to 0 long press tracking is disabled max repeat presses maximum number of repeated presses valid values are 1 2 or 3 single double or tripple presses repeat press time defines maximum time in milliseconds to wait for subsequent press to consider it a double tripple press defaults to 300ms implementation effectively handles debounce no additional configuration is required example of using button with support of single double and tripple presses c include button h define button pin 5 void button callback button event t event void context switch event case button event single press printf single press n break case button event double press printf double press n break case button event tripple press printf tripple press n break case button event long press printf long press n break button config t config button config button active high long press time 1000 max repeat presses 3 int r button create button pin config button callback null if r printf failed to initialize a button n example of using a toggle c include toggle h define toggle pin 4 void toggle callback bool high void context printf toggle is s n high high low int r toggle create toggle pin toggle callback null if r printf failed to initialize a toggle n note when using toggle you need to make sure that signal is propperly pulled up down either add resistor in case of pull up or enable builtin pullup resistor on corresponding pin license mit licensed see the bundled license https github com maximkulkin esp button blob master license file for more details | esp8266 button | os |
Database-SQL-Python | database sql python final project for database and sql for data science with python course 5 ibm data engineering specialization running the sql dump file into mysql local hosted database chicago crim chicago public school chicago socioeconomic data sql script to answers the questions final project | server |
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CourtFinder | original app design project sebasti n salda a court finder table of contents 1 overview overview 1 product spec product spec 1 wireframes wireframes 2 schema schema overview description users can view courts that are nearest to them and the app tells them if there is anyone at that court that is playing at the time or plan to go in a short while app evaluation category health fitness social mobile the app would use location services and require users to take their phone with them to the park to tell if there is someone there story allows users who feel like playing a basketball game to check where they can play that is nearest to them and if there is actually someone there that they can play with or if someone else plans to go at the time and have not arrived yet market any person who likes to play basketball habit users would check this app first before leaving home to play a pickup game to know if it is actually worth going at that time scope the first version of this app could only include the main purpose of listing parks allowing users to view that park s status in termos of players and set whether they are planning to go there future versions could include features that make it more immersive such as being able to share highlights for a specific park or allowing users to display their stats at a specific court product spec 1 user stories required and optional required must have stories user can sign up for an account user can login to their account user can opt in to allowing location services to be used user can view basketball courts user can view how many people there are at a given court user can select a court they are headed to user can view details of the park including rating and photos of the court optional nice to have stories user can post highlights recorded from a game and associate it with a court user can record their stats for a given date on a specific court user can rate a court user can search for a court user can customize the way courts are sorted on the main courts screen 2 screen archetypes login screen user can login to their account registration screen user can sign up for an account user can opt in to allowing location services to be used courts screen user can view basketball courts user can view how many people there are at a given court user can select a court they are headed to user can search for a court court detail screen user can view details of the park including rating and photos of the court user can rate a court 3 navigation tab navigation tab to screen courts user settings for optional user stories view highlights record stats flow navigation screen to screen login screen courts registration screen courts courts screen court detail screen wireframes courtfinder wireframes jpeg schema models users property type description objectid string unique id for the user default field emailverified boolean says if user has verified their email or not default field updatedat date timestamp for when the user was last modified default field authdata object json object that stores other auth data such as oauth information default field username string username to identify a user default field createdat date timestamp for when the user was created default field password string password for user default field email string user s email default field phone string user s phone number headedtopark string google maps id string that identifies the park the person is headed to may be null in some rows lastsetheadedtopark date timestamp for last time the user clicked on omw button may be null in some rows courts note this model will not exist on parse db this is designed to facilitate the manipulation of data retrieved from google maps api property type description placeid string google maps place id address string address fetched from google maps api rating float rating fetched from google maps api distancefromuser float calculated distance using current user location and returned geolocation from google maps api players int calculated field that holds the amount of players at a park photos nsarray array that holds the photos for the park networking courts screen read get query google maps place search endpoint read get query google maps place details endpoint read get query google maps place photos endpoint courts detail screen update put update headedtopark field optional list endpoints if using existing api such as yelp place search get the place ids for something that is of type park or basketball court endpoint https maps googleapis com maps api place nearbysearch output parameters documentation https developers google com maps documentation places web service search placesearchrequests place details get the place details endpoint google maps places sdk for ios documentation https developers google com maps documentation places ios sdk place details hl en place photos get the place photos endpoint google maps places sdk for ios documentation https developers google com maps documentation places ios sdk photos hl en | os |
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machine-learning-yearning | p align center img src images mly png p machine learning yearning nbsp tweet https img shields io twitter url http shields io svg style social https twitter com intent tweet text machine 20learning 20yearning 2c 20book 20by 20andrew 20ng 20 url https github com ajaymache machine learning yearning hashtags machinelearning ml ai deeplearning andrewng coursera datascience nbsp nbsp license shields license free orange svg nbsp nbsp github issues https img shields io github issues ajaymache travis ci with github svg colorb 99cc33 https github com ajaymache travis ci with github issues nbsp nbsp contributions shields contributions svg technical strategy for ai engineers in the era of deep learning author about the book has been divided into 13 parts originally by prof andrew ng along with the complete book with all the parts consolidated in this book you will learn how to align on ml strategies in a team setting as well as how to set up development dev sets and test sets recommendations for how to set up dev test sets have been changing as machine learning is moving toward bigger datasets and this explains how you should do it for modern ml projects contents zero zero full book full 20book machine learning yearning pdf zero one chapters 1 to 14 machine learning yearning part1 pdf zero two chapters 15 to 19 machine learning yearning part2 pdf zero three chapters 20 to 22 machine learning yearning part3 pdf zero four chapters 23 to 27 machine learning yearning part4 pdf zero five chapters 28 to 30 machine learning yearning part5 pdf zero six chapters 31 to 32 machine learning yearning part6 pdf zero seven chapters 33 to 35 machine learning yearning part7 pdf zero eight chapters 36 to 39 machine learning yearning part8 pdf zero nine chapters 40 to 43 machine learning yearning part9 pdf one zero chapters 44 to 46 machine learning yearning part10 pdf one one chapters 47 to 49 machine learning yearning part11 pdf one two chapters 50 to 52 machine learning yearning part12 pdf one three chapters 53 to 58 machine learning yearning part13 pdf | machine-learning machine-learning-yearning andrew-ng-machine-learning andrew-ng-machine-learning-yearning deep-learning deep-learning-andrew-ng deeplearning-ai machine-learning-coursera | ai |
Pse-project | pse project pse project embedded systems design universit degli studi di verona | os |
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LLM-Lab | build llm app repository for a course on building applications for large language models | ai |
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Air-Quality-Monitoring-System | air quality monitoring system in this project we developed a multi location air quality monitoring system as our embedded systems iot design course project p align center img src report figs design png alt drawing width 600 p built with proteus iot builder https www labcenter com iotbuilder an extension to proteus software providing an end to end workflow for the design of iot appliances on arduino hardware elasticsearch 7 8 https www elastic co downloads elasticsearch a search engine providing a distributed multitenant capable search with an http web interface | iot proteus arduino elasticsearch | os |
udacity-cvnd-projects | udacity cvnd projects my solutions to the projects assigned for the udacity computer vision nanodegree project concepts tools facial keypoints p1 facial keypoints face detection haar cascades cnns keypoints opencv pytorch image captioning p2 image captioning coco dataset transfer learning encodercnn decoderrnn lstms feature vectors word embeddings pytorch torchvision nltk implement slam p3 implement slam offline slam online slam numpy pandas seaborn further explorations of computer vision related topics such as image segmentation detection of corners edges and contours k means clustering orb and hog feature vectors cnns and yolo can be found in the exercises cvnd exercises folder | computer-vision face-detection keypoints haar-cascade transfer-learning encoder-decoder rnn cnn pytorch torchvision nltk slam opencv-python harris-corners contour-detection udacity-nanodegree lstm image-segmentation image-captioning yolov3 | ai |
final_proj_cloud | como iniciar o servi o inicializando as inst ncias criando usu rio e obtendo o key pair na aws siga os passos para inicializar a s inst ncia s inicial is realizar login na aws acessar o dashboard iam em seguida users crie um usu rio se n o tiver um em seguida acesse security credentials e crie um access key para o usu rio anote baixe as credenciais access key e secret access key clonando configurando security groups e criando inst ncias clone o meu reposit rio utiliando git clone https github com chends888 final proj cloud git no diret rio final proj cloud voc encontrar o arquivo setup requirements sh execute o requirements sh execute aws configure e insira o seu access key secret access key e como regi o insira us east 1 finalmente para criar as inst ncias execute python3 setup instances py inicializando o load balancer realize login na aws e crie a inst ncia com ubuntu 18 esta m quina ser seu load balancer acesse a m quina git clone cd final proj cloud requirements sh execute aws configure e insira o seu access key secret access key e como regi o insira us east 1 python3 loadbalancer py | cloud |
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Embedded-System-Course-Design | embedded system course design embedded system design built up linux and android applications to simulate real life problems and provide solutions | os |
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react-progressive-web-app | react progressive web app what is this repo well it s a very opinionated react based repository which is optimized for progressive web app development in its current format it will hit around 95 100 out of 100 when running through the lighthouse https developers google com web tools lighthouse audit you can test this out by visiting the demo https d103dzdze3hklu cloudfront net and generating a lighthouse report against it there are many different ways to structure an application this repository is the way that i tend to structure my applications i think you could strip out the webpack config js file tweak it slightly and then you will be on your merry way but you would still need to create a manifest upload the images and make sure they are referenced correctly that is why i decided to open source this repo as it will allow you to just write react code without worrying about painful configuration opinions it uses webpack 2 https webpack js org which makes use of tree shaking and route based chunking it uses flow https flowtype org a static type checker for javascript although not that useful right now moving forward in developing your app it is there to protect you it uses the public directory for webpack output within that it then has an assets directory which will hold the assets created by webpack but also the icons for the manifest it has full separation of concerns around components what does this mean it means that all components their assets and their tests are kept in the same folder here https github com simonfl3tcher react progressive web app tree master src components home is a good example of what i mean it uses mocha and chai for its testing framework choosing mocha and chai was a conscious decision however this could easily be switched out for something like jest https facebook github io jest if desired it comes with nightwatch http nightwatchjs org as the standard e2e testing framework i have tried multiple frameworks and found this is by far the best at the moment it uses offline plugin for webpack https github com nekr offline plugin again choosing offline plugin was a conscious decision originally i wrote the caching myself but i felt that with open sourcing this repo it needed to include a plugin that is actively being maintained and optimized for caching the repo uses route based chunking as outlined in point one with this it means that the react router implementation needs to be done with getcomponent you can see this here https github com simonfl3tcher react progressive web app blob master src app jsx l17 arguably you could switch a lot of this out for your approach but then what would be the point in using an existing repo installation please follow the following steps to get up and running 1 install dependencies javascript npm install flow typed install 2 run the unit tests javascript npm test 3 run the e2e tests javascript npm run nightwatch 4 run the static type checker javascript npm run flow 5 start the webpack server javascript npm run server manifest to make this pwa your own you need to change the manifest https github com simonfl3tcher react progressive web app blob master public manifest json information once you have updated this you will be able to see the changes you made in the application tab of your dev tools manifest json screenshot https s3 eu west 1 amazonaws com simonfl3tcher github image screenshot 2017 02 23 18 42 56 png finally you will need to change the icons at the moment there are just some default icons in the public assets images icons https github com simonfl3tcher react progressive web app tree master public assets images icons directory it would be in your best interest to update these icons to be something more unique to your project hosting you can host this site anywhere you want as long as it can be easily secured using ssl i personally went for hosting on aws s3 https aws amazon com s3 with cloudfront https aws amazon com cloudfront cloudfront will provide further caching which will mean even when you are online without a cache storage the site will load super quick i realize this is not for everyone however if you are going to be making changes regularly and you need to blow away the cache storage i would highly recommend looking at cloudfront https aws amazon com cloudfront cloudformation and static sites https serverlesscode com post instant static site cloudformation may help if you are unfamiliar with aws this repo is currently a static based repo the aim is to keep it that way if you want to provide dynamic information you can call out to an api using something like axios https github com mzabriskie axios eventually although not covered in this repo you can implement the cache then network https jakearchibald com 2014 offline cookbook cache then network approach which would mean your app works with dynamic content on and offline lighthouse to see how you are getting on in your pwa endeavor i would highly recommend lighthouse https developers google com web tools lighthouse it gives you all the information that you need to hit the pwa targets it is also a google product so you know that if you hit those targets you are on to a winner caveats to success this repo is not a silver bullet unless you keep it exactly as it is which i doubt you are going to do so as you make changes or add to your codebase you need to be aware of the things that may affect your lighthouse score css rules you need to make sure that you do not add unused rules to your stylesheets this will reduce unnecessary bytes consumed by network activity https you need to make sure that when you deploy the application that it is using https and redirecting http traffic to https javascript libraries these are a sure fire way to increase your load time make sure you fully evaluate if you need the library before adding again most of this stuff is covered by lighthouse so if you regularly check it you will soon find out if your app is going down the wrong track todo some things that are not currently covered in the repo push notification support cache then network support background sync support demo vist https d103dzdze3hklu cloudfront net https d103dzdze3hklu cloudfront net to see a demo in action you should also visit this on your phone and add to your home screen it will allow you to get a feel for how it works on a phone contributions contributions are very welcome if you found a bug or some improvements feel free to raise an issue and send a pr please see the contributing https github com simonfl3tcher react progressive web app blob master contributing md file for more information on how to contribute license mit | react reactjs pwa progressive-web-app webpack webpack2 flow nightwatch mocha chai | front_end |
wa2917-group-a | wa2917 group a tech excellence cloud engineering group a project | cloud |
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oam-design-system | oam design system the following guide only explains how to include the oam design system in a new project for usage information check the documentation website http hotosm github io oam docs for information on how to develop the oam design system checkout the development md development md style guide and ui components library that aims to standardize the look and feel across all oam related applications while defining coding best practices and conventions install it as an npm module module not available yet use direct link npm install https github com hotosm oam design system v1 0 0 for the most recent version omit the tag note this design system makes some assumptions which are described below for each of the elements check the build system of oam docs https github com hotosm oam docs blob master gulpfile js a project that uses the oam design system overview the shared assets are all in the assets directory it is organized as follows assets scripts utility libraries and shared components usage use as any node module js import dropdown user from oam design system if you want to minimize bundle size you can also include the components directly bindings exported from oam design system are also available in oam design system assets scripts assets styles requires bourbon https github com lacroixdesign node bourbon and jeet https github com mojotech jeet installation add the module path to the includepaths of gulp sass should look something like js pipe sass outputstyle expanded precision 10 includepaths require node bourbon with node modules jeet scss require oam design system gulp addons scsspath the oam design system uses open sans which is available on google fonts https goo gl fz0ave it needs to be included in the app link rel stylesheet type text css href fonts googleapis com css family open sans 300italic 400italic 700italic 400 300 700 usage now you can include it in the main scss file scss bourbon is a dependency import bourbon import jeet index import oam design system assets icons the oam design system includes svg icons that are compiled into a webfont and included in the styles to use them check the oam ds icons scss for the class names assets graphics graphics that are to be shared among projects installation add the graphicsmiddleware to browsersync this is only to aid development should look something like js browsersync port 3000 server basedir tmp app routes node modules node modules middleware require oam design system gulp addons graphicsmiddleware fs this line basically every time there s a request to a path like assets graphics browsersync will check in the oam design system folder first if it doesn t find anything it will look in the normal project s asset folder you also need to ensure that the images are copied over on build this ensures that the graphics are copied over when building the project js gulp task images function return gulp src app assets graphics require oam design system gulp addons graphicspath pipe cache imagemin usage just include the images using the path assets graphics graphic type graphic name all available images can be found here assets graphics license oam design system is licensed under bsd 3 clause license see the license license file for more details | os |
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cloud-engineering-aws | aws cloud engineering for system administrators practical exercises for system administrators to start using aws as cloud engineers workflow complete the provided exercises proceed with the exercises in the provided order each next exercise builds on the previous ones to complete an exercise follow the provided references to educational materials in case more than one reference is provided it is usually enough to study the material from the first one the remaining references either duplicate the first one or expand it list of exercises level junior 1 elementary https github com cloud simply cloud engineering aws blob main junior 1 md level junior 2 basic https github com cloud simply cloud engineering aws blob main junior 2 md | aws cloud ec2 iam vpc | cloud |
twitter | introduction use nltk and twitter api streaming search api to get the tweets data from twitter br more details in my medium article a href https medium com p 2bd493f452a6 edit nltk twitter api twitter a environment python 3 6 package nltk 3 2 5 twython 3 7 0 seaborn 0 8 1 pandas 0 22 0 structure twitter files get data from twitter api data process data twitter dev ipynb twitter officialguide ipynb from a href http www nltk org howto twitter html twitter howto a | ai |
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CVprojects | demo b https www douyin com user ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 enter from search result enter method search result extra params 7b 22search params 22 3a 7b 22search type 22 3a 22user 22 2c 22search id 22 3a 22202111241756340101512071374a007d0f 22 2c 22search keyword 22 3a 22enpe 22 2c 22search result id 22 3a 221205502393189652 22 7d 7d b https space bilibili com 1355276754 c c deepstream tensorrt https enpei md oss cn hangzhou aliyuncs com img202304061135614 png x oss process style wp cpp projs 2 deepstream detect track https github com enpeizhao cvprojects tree main cpp projs 2 deepstream detect track c yolov5 tensorrt img src https enpei md oss cn hangzhou aliyuncs com img202303171105294 png x oss process style wp cpp projs 1 people cross gather https github com enpeizhao cvprojects tree main cpp projs 1 people cross gather python sam img src https enpei md oss cn hangzhou aliyuncs com img202309031100380 png x oss process style wp style width 200px https enpeicv com forum php mod viewthread tid 90 extra page 3d1 img src https enpei md oss cn hangzhou aliyuncs com img202308121213266 png x oss process style wp style width 200px codes 34 yolov8 track https enpeicv com forum php mod viewthread tid 84 extra page 3d1 33 img src https enpei md oss cn hangzhou aliyuncs com img202306171012021 png x oss process style wp style width 200px codes 33 https github com enpeizhao cvprojects tree main codes 33 rotate obj det park 32 realsense dobot img src https enpei md oss cn hangzhou aliyuncs com img202306090924832 png x oss process style wp style width 200px codes 32 realsense dobot https github com enpeizhao cvprojects tree main codes 32 realsense dobot 31 stylegan img src https enpei md oss cn hangzhou aliyuncs com img20221103101533 png x oss process style wp style width 200px codes 31 stylegan https github com enpeizhao cvprojects tree main codes 31 stylegan e4 ba ba e8 84 b8 e7 bc 96 e8 be 91 30 tello img src https enpei md oss cn hangzhou aliyuncs com img20221017110221 png x oss process style wp style width 200px codes 30 tello https github com enpeizhao cvprojects tree main codes 30 e7 81 ab e5 8d b0 e7 bb 93 e5 8d b0 e6 89 8b e5 8a bf e6 8e a7 e5 88 b6tello e6 97 a0 e4 ba ba e6 9c ba 29 cnn rnn vit img src https enpei md oss cn hangzhou aliyuncs com img20220926112802 png x oss process style wp style width 200px codes 29 cnn rnn vit https github com enpeizhao cvprojects tree main codes 29 cnn rnn vit e8 a7 86 e9 a2 91 e5 8a a8 e4 bd 9c e5 88 86 e7 b1 bb 28 transformer image caption img src https enpei md oss cn hangzhou aliyuncs com img20220909205358 png x oss process style wp style width 200px codes 28 transformer image caption https github com enpeizhao cvprojects tree main codes 28 transformer image caption e4 b8 ad e6 96 87 e7 9c 8b e5 9b be e5 86 99 e8 af 9d 20 27 siamese img src https enpei md oss cn hangzhou aliyuncs com img20220828201817 png x oss process style wp style width 200px codes 27 siamese https github com enpeizhao cvprojects tree main codes 27 siamese 26 unet img src https enpei md oss cn hangzhou aliyuncs com imgimage 20 1 png x oss process style wp style width 200px codes 26 unet https github com enpeizhao cvprojects tree main codes 26 unet 25 swin transformer img src https enpei md oss cn hangzhou aliyuncs com img20220728172209 png x oss process style wp style width 200px codes 25 swin transformer https github com enpeizhao cvprojects tree main codes 25 swin transformer 24 web img src https enpei md oss cn hangzhou aliyuncs com img20220715195118 png x oss process style wp style width 200px codes 24 web https github com enpeizhao cvprojects tree main codes 24 web 23 facenet img src https enpei md oss cn hangzhou aliyuncs com imgimg 7913 png x oss process style wp style width 200px codes 23 facenet https github com enpeizhao cvprojects tree main codes 23 facenet 22 openvino img src https enpei md oss cn hangzhou aliyuncs com img20220617173131 png x oss process style wp style width 200px codes 22 openvino https github com enpeizhao cvprojects tree main codes 22 openvino 21 gan img src https enpei md oss cn hangzhou aliyuncs com imgimg 7673 jpg x oss process style wp style width 200px codes 21 gan https github com enpeizhao cvprojects tree main codes 21 gan 20 img src https enpei md oss cn hangzhou aliyuncs com img20220518201724 png x oss process style wp style width 200px codes 20 https github com enpeizhao cvprojects tree main codes 20 19 ocr img src https enpei md oss cn hangzhou aliyuncs com img20220504215359 png x oss process style wp style width 200px codes 19 ocr https github com enpeizhao cvprojects tree main codes 19 ocr e8 bd a6 e7 89 8c e8 af 86 e5 88 ab 18 yolov5 deepsort img src https enpei md oss cn hangzhou aliyuncs com img20220418170339 png x oss process style wp style width 200px codes 18 deepsort https github com enpeizhao cvprojects tree main codes 18 deepsort 20 e9 81 93 e8 b7 af e8 bd a6 e8 be 86 e5 88 86 e6 9e 90 17 yolov5 jetson nano img src https enpei md oss cn hangzhou aliyuncs com img20220404103032 png x oss process style wp style width 200px codes 17 yolov5 jetson nano https github com enpeizhao cvprojects tree main codes 17 yolov5 20jetson 20nano 20 e5 b7 a5 e5 9c b0 e9 98 b2 e6 8a a4 e6 a3 80 e6 b5 8b 16 img src https enpei md oss cn hangzhou aliyuncs com img20220319164803 png x oss process style wp style width 200px codes 16 https github com enpeizhao cvprojects tree main codes 16 15 https www douyin com video 7071609658661752068 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com img20220305205805 png x oss process style wp style width 200px codes 15 https github com enpeizhao cvprojects tree main codes 15 14 https www douyin com video 7066620595206622503 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com img20220220094051 png x oss process style wp style width 200px codes 14 https github com enpeizhao cvprojects tree main codes 14 13 https www douyin com video 7060352692807306507 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com imgimg 63991 jpeg x oss process style wp style width 200px codes 13 https github com enpeizhao cvprojects tree main codes 13 11 ai https www douyin com video 7045886695211879691 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com imgimg 6178 png x oss process style wp style width 200px codes 11 watch tv https github com enpeizhao cvprojects tree main codes 11 watch tv 10 ai https www douyin com video 7042602099925912869 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com imgimg 6083 png x oss process style wp style width 200px codes 10 virtual mouse https github com enpeizhao cvprojects tree main codes 10 virtual mouse 9 ai https www douyin com video 7040350760705510663 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com img20211211154451 png x oss process style wp style width 200px codes 9 virtual reader https github com enpeizhao cvprojects tree main codes 9 virtual 20reader 8 https www douyin com video 7036367345970875687 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com img20211201102837 png x oss process style wp style width 200px codes 8 https github com enpeizhao cvprojects tree main codes 8 e7 bb 93 e5 8d b0 e8 af 86 e5 88 ab 7 python opencv https www douyin com video 7033012599729999137 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com img20211120135236 png x oss process style wp style width 200px codes 7 virtual drag drop py https github com enpeizhao cvprojects blob main codes 7 virtual drag drop 6 python https www douyin com video 7031539631594163469 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com img20211120135209 png x oss process style wp style width 200px codes 6 hand control volume py https github com enpeizhao cvprojects blob main codes 6 hand control volume 5 https www douyin com video 7016958202713771278 modefrom userpost secuid ms4wljabaaaapirmwhfy oht5x8gzchgqwdo3j29gyhcgg qebkidd4wu f4dwm2hnoeyyqbcim2 img src https enpei md oss cn hangzhou aliyuncs com imgimg 5885 jpg x oss process style wp style width 200px codes 5 hand pause atv handremote py https github com enpeizhao cvprojects blob main codes 5 hand pause atv | computer-vision machine-learning deep-learning python cpp cuda tensorrt | ai |
design-system | united nations development programme design system purpose the purpose of this project is to create unified user interfaces for undp by the designer and developers these projects will have consistent look and feel and accessible in nature by just following the guidelines in the documentation by unifying design elements into reusable components development will simplify and accelerate the development of these digital products the guide is a living document created to meet the needs of undp s front end developers and designers if there is a component or pattern that you need or you have any other feedback question or comment please contact us demo living style guide documentation demo https design undp org starter project static generator using design system as dependency undp design system starter template https github com undp design system starter template development run the following commands to create update the code bash checkout the codebase git clone install project dependencies npm install runs storybook locally npm run storybook build storybook npm run build storybook build compiled css and js npm run build linting on codebase caution this will write changes to your files npm run lint important make sure to run npm run build to compile production ready css and js files and include them with your development work this will help save some extra steps when it comes time to deploy to production list of components view available components here https design undp org every components has its own documentation page on the link provided credits the design system is based on storybook https storybook js org assets all the icons images can be found in the docs images directory fonts docs fonts css directory at docs css js directory at docs js storybook and file references storybook path file path components ui components cards download card stories molecules blocks downloadcard downloadcard components ui components cards publication card stories molecules blocks downloadcard publicationcard components ui components text callout stories molecules text blockquotecomponent components ui components text cta block stories molecules text ctablock components ui components text heading big block stories molecules text headingbig components ui components text post block stories molecules text post components ui components text small copy lockup stories molecules text smallcopy components ui components text tertiary block stories molecules text tertiary components ui components text text background stories molecules text textbackground components ui components text text cta stories molecules text textcta components ui components author summary stories organism blocks authorcard patterns card grids content cards stories organism blocks contentcard patterns card grids content cards with and without image stories organism blocks contentcardwithandwithoutimage patterns card grids featured cards stories organism blocks featuredcontentcard featuredcard components ui components pagewide featured content card stories organism blocks featuredcontentcard pagewidecontentcard patterns card grids image reveal cards stories organism blocks imagerevealcards components ui components footer stories organism footer components ui components stats stories organism stats components ui components stats card slider stories organism statscardslider utilities progress bar navigation stories atom navigation progressbarnavigation license mit license acknowledgments thanks to a href https www chromatic com img src https avatars githubusercontent com u 24584319 s 20 v 4 alt chromatic logo chromatic a for providing the visual testing platform that helps us review ui changes and catch visual regressions | design-system storybook undp united-nations | os |
design-system | design system for the nihr this is a library that documents the design system for the nihr https design system nihr ac uk and provides a default implementation on top of bootstrap https getbootstrap com usage requirements node js https nodejs org 18 or newer npm or a compatible package manager installation run npm install nihruk design system in your existing project development installation clone this repository navigate into its root directory and run npm install testing run npm run test fixing problems automatically run npm run fix dev run npm run docs to start a local dev server hosting the built documentation site run npm run build to build project to dist folder copyright crown copyright national institute for health and care research | os |
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estation | estation software engineering and database project change application yml and application propereties | server |
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Sign-Language-To-Text-Conversion | sign language to text conversion output video images outputvideo gif gif youtube https www youtube com watch v rd04xb6f0pu abstract sign language is one of the oldest and most natural form of language for communication but since most people do not know sign language and interpreters are very difficult to come by we have come up with a real time method using neural networks for fingerspelling based american sign language in this method the hand is first passed through a filter and after the filter is applied the hand is passed through a classifier which predicts the class of the hand gestures this method provides 98 00 accuracy for the 26 letters of the alphabet project description american sign language is a predominant sign language since the only disability d m people have is communication related and they cannot use spoken languages hence the only way for them to communicate is through sign language communication is the process of exchange of thoughts and messages in various ways such as speech signals behavior and visuals deaf and mute dumb d m people make use of their hands to express different gestures to express their ideas with other people gestures are the nonverbally exchanged messages and these gestures are understood with vision this nonverbal communication of deaf and dumb people is called sign language sign language is a visual language and consists of 3 major components components images components jpg in this project i basically focus on producing a model which can recognize fingerspelling based hand gestures in order to form a complete word by combining each gesture the gestures i trained are as given in the image below signs images signs jpg steps of building this project 1 the first step of building this project was of creating the folders for storing the training and testing data as in this project i have built my own dataset python importing the libraries required import os import string creating the directory structure if not os path exists dataset os makedirs dataset if not os path exists dataset trainingdata os makedirs dataset trainingdata if not os path exists dataset testingdata os makedirs dataset testingdata making folder 0 i e blank in the training and testing data folders respectively for i in range 0 if not os path exists dataset trainingdata str i os makedirs dataset trainingdata str i if not os path exists dataset testingdata str i os makedirs dataset testingdata str i making folders from a to z in the training and testing data folders respectively for i in string ascii uppercase if not os path exists dataset trainingdata i os makedirs dataset trainingdata i if not os path exists dataset testingdata i os makedirs dataset testingdata i 2 the second step after the folder creation is of creating the training and testing dataset i captured each frame shown by the webcam of our machine in each frame i defined a region of interest roi which is denoted by a blue bounded square as shown in the image below training data collection image images trainingdata png after capturing the image from the roi i applied gaussian blur filter to the image which helps for extracting various features of the image the image after applying gaussian blur looks like below roi images roi png the code for image proceesing is as following python import numpy as np import cv2 minvalue 70 def func path frame cv2 imread path gray cv2 cvtcolor frame cv2 color bgr2gray blur cv2 gaussianblur gray 5 5 2 th3 cv2 adaptivethreshold blur 255 cv2 adaptive thresh gaussian c cv2 thresh binary inv 11 2 ret res cv2 threshold th3 minvalue 255 cv2 thresh binary inv cv2 thresh otsu return res 3 after the creation of the training and testing data the third step is of creating a model for training here i have used convolutional neural network cnn for building this model the model summary is as following convolutional neural network cnn unlike regular neural networks in the layers of cnn the neurons are arranged in 3 dimensions width height depth the neurons in a layer will only be connected to a small region of the layer window size before it instead of all of the neurons in a fully connected manner moreover the final output layer would have dimensions number of classes because by the end of the cnn architecture we will reduce the full image into a single vector of class scores cnn images cnn png 1 convolutional layer in convolution layer i have taken a small window size typically of length 5 5 that extends to the depth of the input matrix the layer consists of learnable filters of window size during every iteration i slid the window by stride size typically 1 and compute the dot product of filter entries and input values at a given position as i continue this process well create a 2 dimensional activation matrix that gives the response of that matrix at every spatial position that is the network will learn filters that activate when they see some type of visual feature such as an edge of some orientation or a blotch of some colour 2 pooling layer we use pooling layer to decrease the size of activation matrix and ultimately reduce the learnable parameters there are two types of pooling a max pooling in max pooling we take a window size for example window of size 2 2 and only taken the maximum of 4 values well lid this window and continue this process so well finally get an activation matrix half of its original size b average pooling in average pooling we take average of all values in a window pooling images pooling jpg 3 fully connected layer in convolution layer neurons are connected only to a local region while in a fully connected region well connect the all the inputs to neurons p align center img src images fullyconnectedlayer png alt fully connected layer p 4 final output layer after getting values from fully connected layer well connect them to final layer of neurons having count equal to total number of classes that will predict the probability of each image to be in different classes model summary images model summary png output images output png 4 the final step after the model has been trained is of creating a gui that will be used to convert sings into text and form sentence which would be helpful for communicating with d m people training i have converted our input images rgb into grayscale and applied gaussian blur to remove unnecessary noise i then applied adaptive threshold to extract hand from the background and resize the images to 128 x 128 i feed the input images after preprocessing to the model for training and testing after applying all the operations mentioned above the prediction layer estimates how likely the image will fall under one of the classes so the output is normalized between 0 and 1 and such that the sum of each value in each class sums to 1 i have achieved this using softmax function at first the output of the prediction layer will be somewhat far from the actual value to make it better i have trained the networks using labeled data the cross entropy is a performance measurement used in the classification it is a continuous function which is positive at values which is not same as labeled value and is zero exactly when it is equal to the labeled value therefore i optimized the cross entropy by minimizing it as close to zero to do this in my network layer i adjusted the weights of my neural network tensorflow has an inbuilt function to calculate the cross entropy as i have out the cross entropy function then i optimized it using gradient descent in fact with the best gradient descent optimizer is called adam optimizer testing while testing the applications i found out that some of the symbol predictions were coming out wrong so i used two layers of algorithms to verify and predict symbols which are more similar to each other so that i can get close as i can to detect the symbol shown in my testing the following symbols were not showing properly and were giving output as other symbols 1 for d r and u 2 for u d and r 3 for i t d k and i 4 for s m and n so to handle above cases i made three different classifiers for classifying these sets 1 d r u 2 t k d i 3 s m n the gui graphical user interface of the application is as shown below gui images gui png flow chart for gesture classification is as following gesture classification images gesture png application working diagram is as following application images app png 5 results i have achieved an accuracy of 95 8 in my model using only layer 1 of the algorithm and using the combination of layer 1 and layer 2 i achieve an accuracy of 98 0 below are the confusion matrices for our results algo1 images algo1result jpg algo1 algo2 images algo12result jpg libraries requirements requires the latest pip version to install all the packages note python 3 8 or above is required to build this project as some of the libraries required can t be installed on the lastest version of the python bash 1 lastest pip pip install upgrade pip 2 numpy pip install numpy 3 string pip install strings 4 os sys pip install os sys 5 opencv pip install opencv python 6 tensorflow i pip install tensorflow ii pip3 install upgrade https storage googleapis com tensorflow linux cpu tensorflow 0 8 0 cp34 cp34m linux x86 64 whl 7 keras pip install keras 8 tkinter pip install tk 9 pil pip install pillow 10 enchant pip install pyenchant python bindings for the enchant spellchecking system 11 hunspell pip install cyhunspell a wrapper on hunspell for use in python running the project python python path to the application py license copyright c 2021 nikhil gupta permission is hereby granted free of charge to any person obtaining a copy of this software and associated documentation files the software to deal in the software without restriction including without limitation the rights to use copy modify merge publish distribute sublicense and or sell copies of the software and to permit persons to whom the software is furnished to do so subject to the following conditions the above copyright notice and this permission notice shall be included in all copies or substantial portions of the software the software is provided as is without warranty of any kind express or implied including but not limited to the warranties of merchantability fitness for a particular purpose and noninfringement in no event shall the authors or copyright holders be liable for any claim damages or other liability whether in an action of contract tort or otherwise arising from out of or in connection with the software or the use or other dealings in the software | machine-learning deep-learning neural-network computer-vision opencv tkinter-gui python sign-language hand-gestures communication | ai |
KabyleNLP | the project is now maintained on gitlab https gitlab com belkacem77 kabylenlp tree master kabylenlp natural language processing for the kabyle language deux algorithmes principaux le premier g n rera uniquement le mod le d apprentissage ce qui permettra de le r ex cuter pour g n rer plusieurs mod les partir de plusieurs corpus tiquet s manuellement et les sauvegarder sur le disque nous pourrons ensuite partager ces mod les en lignes pour les besoins des solutions le deuxi me est l algorithme qui permettra de charger un mod le pour tiqueter un texte nouveau correction et am lioration du corpus am lioration de l algorithme de tokenization int gr lors de l ex cution de l algorithme d tiquetage mise jour du corpus des affixes pour les besoins de tokenization segmentation lors du pos tag partir du fichier brut text txt l algorithme d tiquetage g n rera deux fichiers un fichier segment non tiquet et un autre tiquet contribution t l chargez le corpus ajoutez vos modifications testez puis envoyez | ai |
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blockchain-dev-path | learn with webx dao here you will learn how to become one of the dapp developers and collaborate with other people inside of webxdao we gather content about blockchain developers you don t need to see all the resources but choose what content is best for you for more information you can directly ask in our discord https discord gg tsrwqx4k2v community work on the documentation this website is built using docusaurus 2 https docusaurus io a modern static website generator installation yarn local development yarn start this command starts a local development server and opens up a browser window most changes are reflected live without having to restart the server build yarn build this command generates static content into the build directory and can be served using any static contents hosting service deployment using ssh use ssh true yarn deploy not using ssh git user your github username yarn deploy if you are using github pages for hosting this command is a convenient way to build the website and pushing to the gh pages branch | developers beginner blockchain hacktoberfest hacktoberfest2022 | blockchain |
Dangerzone | dangerzone mobile development club | front_end |
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belajargit | belajargit belajar git web development intermediete | front_end |
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paho.mqtt.c | build status https travis ci org eclipse paho mqtt c svg branch master https travis ci org eclipse paho mqtt c total alerts https img shields io lgtm alerts g eclipse paho mqtt c svg logo lgtm logowidth 18 https lgtm com projects g eclipse paho mqtt c alerts coverity scan build status https scan coverity com projects 2339 badge svg https scan coverity com projects paho c eclipse paho c client library for the mqtt protocol this repository contains the source code for the eclipse paho http eclipse org paho mqtt c client library this code builds libraries which enable applications to connect to an mqtt http mqtt org broker to publish messages and to subscribe to topics and receive published messages synchronous and various asynchronous programming models are supported information about mqtt mqtt website http mqtt org the mqtt 3 1 1 standard http docs oasis open org mqtt mqtt v3 1 1 os mqtt v3 1 1 os html the mqtt 5 0 standard https docs oasis open org mqtt mqtt v5 0 mqtt v5 0 html hivemq introduction to mqtt https www hivemq com mqtt oasis introduction to mqtt presentation https www oasis open org committees download php 49205 mqtt oasis webinar pdf libraries the paho c client comprises four variant libraries shared or static paho mqtt3a asynchronous mqttasync paho mqtt3as asynchronous with ssl tls mqttasync paho mqtt3c classic synchronous mqttclient paho mqtt3cs classic synchronous with ssl tls mqttclient which paho c api to use with some history for context https modelbasedtesting co uk 2013 10 13 which paho mqtt c api to use and some history usage and api detailed api documentation is available online https eclipse github io paho mqtt c mqttclient html it is also available by building the doxygen docs in the doc directory samples are available in the doxygen docs and also in src samples for reference these are paho c pub c and paho c sub c command line utilities to publish and subscribe h will give help paho cs pub c and paho cs sub c command line utilities using mqttclient to publish and subscribe mqttclient publish c mqttclient subscribe c and mqttclient publish async c mqttclient simple code examples mqttasync publish c and mqttasync subscribe c mqttasync simple code examples some potentially useful blog posts paho client mqtt 5 0 support and command line utilities https modelbasedtesting co uk 2018 08 08 paho c client mqtt 5 0 and command line utilities mqtt qos and persistence https modelbasedtesting co uk 2013 11 24 mqtt qos and persistence a story of mqtt 5 0 https modelbasedtesting co uk 2018 04 09 a story of mqtt 5 0 various mqtt and mqtt sn talks i ve given https modelbasedtesting co uk talks ive given runtime tracing a number of environment variables control runtime tracing of the c library tracing is switched on using mqtt c client trace a value of on traces to stdout any other value should specify a file to trace to the verbosity of the output is controlled using the mqtt c client trace level environment variable valid values are error protocol minimum medium and maximum from least to most verbose the variable mqtt c client trace max lines limits the number of lines of trace that are output export mqtt c client trace on export mqtt c client trace level protocol reporting bugs please open issues in the github project https github com eclipse paho mqtt c issues more information discussion of the paho clients takes place on the eclipse paho dev mailing list https dev eclipse org mailman listinfo paho dev follow eclipse paho on twitter eclipsepaho https twitter com eclipsepaho general questions about the mqtt protocol are discussed in the mqtt google group https groups google com forum hl en us fromgroups forum mqtt there is more information available via the mqtt community site http mqtt org building with cmake the build process currently supports a number of linux flavors including arm and s390 os x aix and solaris as well as the windows operating system the build process requires the following tools cmake http cmake org gnu make https www gnu org software make or ninja https martine github io ninja a conforming c compiler such as gcc https gcc gnu org clang https clang llvm org etc on debian based systems this would mean that the following packages have to be installed apt get install build essential gcc make cmake cmake gui cmake curses gui also in order to build a debian package from the source code the following packages have to be installed apt get install fakeroot devscripts dh make lsb release ninja can be downloaded from its github project page in the releases section optionally it is possible to build binaries with ssl tls support this requires the openssl libraries and includes to be available e g on debian apt get install libssl dev the documentation requires doxygen and optionally graphviz apt get install doxygen graphviz building your application with cmake if the paho c library was built with cmake and is already installed on the system it is relatively easy to set up a cmake build for your application if it s not already built and installed read the next section the library can be built with several options which create variations of the library for asynchronous or synchronous use encryption ssl tls support or not and whether the library is shared or static cmake exports all of the libraries that were built as targets and the user can chose which is best suited for an application the package is named eclipse paho mqtt c the namespace for all the targets is also eclipse paho mqtt c the target names are the same as the library names the static libraries append static to the target name even for platforms that use the same base name for shared and static libraries so target description paho mqtt3a asynchronous no encryption paho mqtt3as asynchronous with ssl tls support paho mqtt3c synchronous no encryption paho mqtt3cs synchronous with ssl tls support paho mqtt3a static asynchronous no encryption static linkage paho mqtt3as static asynchronous with ssl tls support static linkage paho mqtt3c static synchronous no encryption static linkage paho mqtt3cs static synchronous with ssl tls support static linkage remember though that not all of these targets may be available it depends on how the library was built a sample cmakelists txt for an application that uses the asynchronous library with encryption support paho mqtt3as might look like this cmake minimum required version 3 5 project mymqttapp version 1 0 0 languages c find package eclipse paho mqtt c required add executable mymqttapp mymqttapp c target link libraries mqttversion eclipse paho mqtt c paho mqtt3as if the library was installed to a non traditional location you may need to tell cmake where to find it using cmake prefix path for example if you installed it in opt mqtt paho mqtt c cmake dcmake prefix path opt mqtt paho mqtt c building the paho c library with cmake before compiling determine the value of some variables in order to configure features library locations and other options variable default value description paho build shared true build a shared version of the libraries paho build static false build a static version of the libraries paho high performance false when set to true the debugging aids internal tracing and heap tracking are not included paho with ssl false flag that defines whether to build ssl enabled binaries too openssl root dir system default directory containing your openssl installation i e usr local when headers are in usr local include and libraries are in usr local lib paho build documentation false create and install the html based api documentation requires doxygen paho build samples false build sample programs paho enable testing true build test and run mqtt test broker tcp localhost 1883 mqtt connection url for a broker to use during test execution mqtt test proxy tcp localhost 1883 hostname of the test proxy to use mqtt ssl hostname localhost hostname of a test ssl mqtt broker to use paho build deb package false build debian package using these variables cmake can be used to generate your ninja or make files using cmake building out of source is the default therefore it is recommended to invoke all build commands inside your chosen build directory but outside of the source tree an example build session targeting the build platform could look like this mkdir tmp build paho cd tmp build paho cmake dpaho with ssl true dpaho build documentation true dpaho build samples true paho mqtt c invoking cmake and specifying build options can also be performed using cmake gui or ccmake see https cmake org runningcmake for example ccmake paho mqtt c to compile link the binaries to install or to generate packages use these commands cmake build cmake build target install cmake build target package to build install or generate packages you can also use the generated builder like ninja or make directly after invoking the initial cmake configuration step such as ninja package or make j number of jpbs package debug builds debug builds can be performed by defining the value of the cmake build type option to debug for example cmake dcmake build type debug paho mqtt c running the tests test code is available in the test directory the tests can be built and executed with the cmake build system the test execution requires a mqtt broker running by default the build system uses localhost however it is possible to configure the build to use an external broker these parameters are documented in the build requirements section above after ensuring a mqtt broker is available it is possible to execute the tests by starting the proxy and running ctest as described below python test mqttsas py ctest vv cross compilation cross compilation using cmake is performed by using so called toolchain files see http www vtk org wiki cmake cross compiling the path to the toolchain file can be specified by using cmake s dcmake toolchain file option in case no toolchain file is specified the build is performed for the native build platform for your convenience toolchain files for the following platforms can be found in the cmake directory of eclipse paho linux x86 linux arm11 a k a the raspberry pi windows x86 64 windows x86 the provided toolchain files assume that required compilers linkers are to be found in the environment i e the path variable of your user or system if you prefer you can also specify the absolute location of your compilers in the toolchain files example invocation for the raspberry pi cmake gninja dpaho with ssl true dpaho build samples true dpaho build documentation true dopenssl lib search path tmp libssl dev usr lib arm linux gnueabihf dopenssl inc search path tmp libssl dev usr include openssl tmp libssl dev usr include arm linux gnueabihf dcmake toolchain file paho mqtt c cmake toolchain linux arm11 cmake paho mqtt c compilers for the raspberry pi and other arm targets can be obtained from arm https developer arm com tools and software open source software developer tools gnu toolchain downloads this example assumes that openssl libraries and includes have been installed in the tmp libssl dev directory example invocation for windows 64 bit cmake dpaho build samples true dcmake toolchain file paho mqtt c cmake toolchain win64 cmake paho mqtt c in this case the libraries and executable are not linked against openssl libraries cross compilers for the windows platform can be installed on debian like systems like this apt get install gcc mingw w64 x86 64 gcc mingw w64 i686 build instructions for gnu make ensure the openssl development package is installed then from the client library base directory run make sudo make install this will build and install the libraries to uninstall sudo make uninstall to build the documentation requires doxygen and optionally graphviz make html the provided gnu makefile is intended to perform all build steps in the build directory within the source tree of eclipse paho generated binares libraries and the documentation can be found in the build output directory after completion options that are passed to the compiler linker can be specified by typical unix build variables variable description cc path to the c compiler cflags flags passed to compiler calls ldflags flags passed to linker calls building paho mqtt using vcpkg you can download and install paho mqtt using the vcpkg https github com microsoft vcpkg dependency manager git clone https github com microsoft vcpkg git cd vcpkg bootstrap vcpkg sh vcpkg integrate install vcpkg install paho mqtt the paho mqtt port in vcpkg is kept up to date by microsoft team members and community contributors if the version is out of date please create an issue or pull request https github com microsoft vcpkg on the vcpkg repository fully static builds with musl libc by frank pagliughi musl libc https musl libc org is is an implementation of the c standard library built on top of the linux system call api including interfaces defined in the base language standard posix and widely agreed upon extensions users of the rust library which wraps this one had been complaining that they could not compile using the musl build tools musl is a small std c lib that can be statically linked with the latest paho c library and a very minor tweak to the build we re now able to build rust apps using musl and paho c that are fully static no runtime dependencies on the platform not even on the standard c lib async publish publishing a message on the test topic ldd async publish not a dynamic executable so for example if maintaining a suite of apps for some newer and older embedded linux boards the same executables could be deployed without worry about the c abi on the particular boards certainly c apps using the paho library could do this also microsoft windows calling convention as is normal for c programs on windows the calling convention is cdecl see the microsoft documentation here https docs microsoft com en us cpp cpp cdecl view vs 2019 if you call this library from another language you may need to take this into account | eclipseiot mqtt iot internet-of-things eclipse-paho | server |
ECE-4534-Team-13 | ece 4534 team 13 spring 2021 embedded system design working team 13 | os |
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recipe-app-api | recipe app api recipe app api source code following udemy django backend development course | server |
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PillDispenser_System | center pilldispenser center fully self programming pill dispenser system br product deigned for alert patient with the daily time of medicine br consist of 4 rooms each room take medicine with the same appointement br appointment of each room is specified by the patient br cropped pill idspenser left https github com ahmed kamal91 pilldispenser system assets 91970695 07dd7135 34ed 4822 b728 228beb13f7bf components lcd for user interface keypad for interacting with th system touch sensor for turn off alarm br piezo the actual alarm led to flag the speicifed room br gif comonnrt https github com ahmed kamal91 pilldispenser system assets 91970695 bbc2bbfb 2587 4408 8b2b 72c167002557 pre b external b b internal b br lcd arduino uno br keypad i2c br touch sensor rtc br piezo mega breadboard br led pre what s special about it we try to eliminate some constraints and limits that make it quiete hard to use br so it became ease of use br pilldispenser4 https github com ahmed kamal91 pilldispenser system assets 91970695 a00fea07 18d3 4695 8c0c c18c7f3c1f73 simple interface view represnting rooms easyily modify room s alert time easily show all times allocated to rooms in general br allocated time for each room separately in particular using friendly symbols and icon left home1 resized https github com ahmed kamal91 pilldispenser system assets 91970695 e705d143 187e 4a85 bbab 2c5ce6692f04 left using touch sensor instead of push button that is quiete harder br for finger than touching ensure awareness of the patient br by holding on touch sensor for 2 second to turn off the alert give flag light by led to the room where you should take your medicine from there is plastic separators in each room for easy picking different medicine and separate between them code explanation you can check the code yourself br https github com ahmed kamal91 pilldispenser system blob main v10 ino h2 over view h2 notice this chart explain code for one room br all system depends on the equality of the alarm and real time so i began with if else statement check the equality br most part of the system go through the un equality of the alarm and real time and the rest of code shows alarm behavior br chart 1 https github com ahmed kamal91 pilldispenser system assets 91970695 c0954216 c840 469f b9f5 d9b3d45834f4 h2 libraries h2 b 1 lcd b br include liquidcrystal i2c h br include wire h br liquidcrystal i2c lcd 0x27 16 2 br b 2 keypad b br include keypad h br const int row num 4 four rows br const int column num 3 three columns br char keys row num column num br 1 2 3 br 4 5 6 br 7 8 9 br 0 br byte pin rows row num 8 7 6 5 br byte pin column column num 4 3 2 br keypad keypad keypad makekeymap keys pin rows pin column row num column num br b 3 eeprom b br include eeprom h br b 4 rtc b br include timelib h br include ds1307rtc h br chart 2 https github com ahmed kamal91 pilldispenser system assets 91970695 33581b83 099e 445b a394 d0115bcc4e68 br chart 3 https github com ahmed kamal91 pilldispenser system assets 91970695 88c58d96 2a75 42e0 94a1 057ac4a6ecd4 h2 functions h2 core of the system br set time function br first we will build what will appear in lcd interface br using lcd clear lcd print lcd setcursor br pre interface lcd clear lcd setcursor 0 1 lcd print del back lcd setcursor 0 0 lcd print time lcd setcursor 8 0 lcd print lcd setcursor 6 0 pre create variable to save the inserted time later br pre string copier pre making a way to wait the user with our rules function br pre char key wait input key no key while key no key key keypad getkey pre we want to insert numbers from keypad for br 1 add on copier variable br 2 appear on lcd in the right position br so br pre lcd print key copier copier key pre inserting number should jump after symbol so we will use length of variable copier to do that br pre if copier length 2 lcd print key copier copier key else lcd setcursor 9 0 lcd print key copier copier key pre before we continue we have to discuss eeprom first br chart 4 https github com ahmed kamal91 pilldispenser system assets 91970695 a30139de 3dff 403c 8513 0495fd36e354 2 set in eeprom simply eeprom is a non volatile memory has 1024 place to save the data br each place take one char so we have 4 rooms every room has alarm time in string dtype has 5 br chars so we want 20 places for all rooms in eeprom br this function made to save time alarm for each room character by character br pre set the time in eeprom function void set in eeprom int start pos int end pos int extra pos string times for int i start pos i end pos i serial print times i eeprom update i times i extra pos pre br we will notice that times i extra pos br numbers range for eeprom change while indices of variable not so we have to subtract from start br point number to begin range of numbers from 0 as indices does for any variable br 3 get from eeprom function br almost the same idea of set in eeprom function br pre getting epprom time string get from eeprom int start pos int end pos string tim back for int i start pos i end pos i char letter eeprom read i tim back tim back letter return tim back pre lets return to set time function br a way to back in case you don t want to set time br pre back if key lcd clear lcd print ok delay 500 switch room num case 1 return string get from eeprom 0 5 case 2 return string get from eeprom 5 10 case 3 return string get from eeprom 10 15 case 4 return string get from eeprom 15 20 pre condition for breaking while loop br pre if copier length 5 break finally return copier return copier pre alarm br when it set time from user saved in eeprom real time from rtc module arduino gives signals to leds and piezo br putting the last condition on if condition touch button if its low there is alarm else stop alarm br | embedded-systems | os |
Chronomy | chronomy this timebanking android app was created as project for the mobile application development course at polito a y 2022 https user images githubusercontent com 79757400 185754740 30859834 92b9 4360 8fc7 90c455a33f27 mp4 developed by alessandracomparetto https github com laib3 alessandracomparetto giuseppesalvi https github com giuseppesalvi laib3 https github com laib3 simorobu https github com simorobu | front_end |
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dapp_front_end | dapp front end about etherium blockchain smart contract dapp front end implementation of the sample donation contract to interact with associated dapp back end coded in solidity following the remix tutorial using mist and geth https remix readthedocs io en latest tutorial mist html setup instructions create blockchain test directory mkdir p blockchain test chain directory run geth go ethereum test node http rpc server endpoint at http 0 0 0 0 8545 geth ipcpath blockchain test chain directory geth ipc datadir blockchain test chain directory dev console targetgaslimit 994712388 port 3000 networkid 23422 identity node1 nodiscover nat none rpccorsdomain rpc rpcport 8545 rpcaddr 0 0 0 0 rpcapi eth web3 nodiscover maxpeers 6 note optionally close server in geth console with admin stoprpc install node js https nodejs org en download install yarn https yarnpkg com install dependencies yarn install run server npm start open in web browser http localhost 8080 http localhost 8080 open http localhost 8080 open web browser developer tools run the following in browser console to show ethereum accounts and latest block web3 eth accounts web3 eth blocknumber screenshots alt tag https raw githubusercontent com ltfschoen dapp front end master screenshots dapp front end png | front_end |
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yes-vancouver | yes vancouver mobile app development repo for yes vancouver cross platform mobile app table of contents description description tech stack tech stack getting started getting started description this cross platform mobile app ios android is developed for yes vancouver http yesvancouver org and aims to provide the following functionalities editable user profile a user can create a profile on the wild apricot membership management site through the app the user can then login to and logout of their profile in the app inside the app the user can renew their membership and modify their profile details and settings img src yesvancouverapp docs images screenshot profile signup png height 500px img src yesvancouverapp docs images screenshot profile details png height 500px events calendar a user can view a list of upcoming events as well as previous events when a user clicks on an item in the events list they will be navigated to a new screen that displays more details about the event and a link to the registration page img src yesvancouverapp docs images screenshot events list png height 500px img src yesvancouverapp docs images screenshot events details png height 500px partner perks a user with a valid membership can view a list of perks offered by yes vancouver s sponsors when a user clicks on an item in the perks list they will be navigated to a new screen that displays more details about the offer eg offer details expiry date discount code img src yesvancouverapp docs images screenshot perkpartners list png height 500px img src yesvancouverapp docs images screenshot perkpartners details png height 500px news feed a user can read the recent news and blog posts published by yes vancouver img src yesvancouverapp docs images screenshot newsfeed png height 500px messaging a user can message other members that are registered with yes vancouver img src yesvancouverapp docs images screenshot messaging list png height 500px img src yesvancouverapp docs images screenshot messaging conversation png height 500px push notfications a user can get push notifications to alert them of new events new offers from sponsors or renew their membership img src yesvancouverapp docs images screenshot settings png height 500px img src yesvancouverapp docs images screenshot push notifications png height 500px tech stack frontend react native backend wild apricot https www wildapricot com getting started 1 install node js https nodejs org en 1 install expo command line tool npm install expo cli global 1 install expo client app on phone android https play google com store apps details id host exp exponent hl en ios https itunes apple com ca app expo client id982107779 mt 8 1 install git https git scm com book en v2 getting started installing git 1 clone the repository git clone https github com codethechangeubc yes vancouver git 1 navigate into the project s root directory cd yes vancouver yesvancouverapp 1 install node modules npm install 1 start the app expo start 1 open the app by scanning the qr code with the expo client app on your phone or open using an emulator | front_end |
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react-native-sketchbook | p align center a href https react native sketchbook now sh img alt react native sketchbook src https user images githubusercontent com 6936373 80468413 1cc66180 897a 11ea 9965 177ca6e186d1 png width 60 a h1 align center react native sketchbook h1 p version npm badge npm link mit license license badge license currently work in progress react native sketchbook is a design system for react native demo https react native sketchbook now sh reusable customizable fully written in typescript full support for web supports dark theme no external dependencies tech stack react native https reactnative dev learn once write everywhere storybook https storybook js org for ui component demo and docs react native for web https github com necolas react native web for web support and storybook github actions https github com features actions for type checking and linting vercel https vercel com for automatic deployment of the demo usage using yarn yarn add react native sketchbook using npm pnpm i react native sketchbook docs docs are still wip license the library is released under the mit licence for more information see license license npm link https www npmjs com package react native sketchbook npm badge https img shields io npm v react native sketchbook svg style flat square license badge https img shields io npm l react native sketchbook svg style flat square license https opensource org licenses mit | react-native design-system hacktoberfest | os |
netxduo | azure rtos netx duo this advanced industrial grade tcp ip network stack is designed specifically for deeply embedded real time and iot applications azure rtos netx duo is a dual ipv4 and ipv6 network stack while azure rtos netx is the original ipv4 network stack essentially a subset of azure rtos netx duo here are the key features and modules of netx duo netx duo key features docs netx duo features png getting started azure rtos netx duo as part of azure rtos has been integrated to the semiconductor s sdks and development environment you can develop using the tools of choice from stmicro https www st com content st com en campaigns x cube azrtos azure rtos stm32 html nxp https www nxp com design software embedded software azure rtos for nxp microcontrollers azure rtos renesas https github com renesas azure rtos and microchip https mu microchip com get started simplifying your iot design with azure rtos we also provide getting started guide https github com azure rtos getting started and samples https github com azure rtos samples using hero development boards from semiconductors you can build and test with see overview of azure rtos netx duo https learn microsoft com azure rtos netx duo overview netx duo for the high level overview and all documentation and apis can be found in azure rtos netx duo documentation https learn microsoft com azure rtos netx duo also there is dedicated learning path of azure rtos netx duo https learn microsoft com training paths azure rtos netx duo for learning systematically repository structure and usage directory layout addons netx duo addon modules for protocols and connectivity cmake cmakelist files for building the project common core netx duo files crypto libraries netx crypto files nx secure netx secure files ports architecture and compiler specific files samples sample codes utility test cases and utilities e g iperf license txt license terms license hardware txt licensed hardware from semiconductors contributing md contribution guidance security md microsoft repo security guidance branches releases the master branch has the most recent code with all new features and bug fixes it does not represent the latest general availability ga release of the library each official release preview or ga will be tagged to mark the commit and push it into the github releases tab e g v6 2 rel when you see xx xx xxxx 6 x or x x in function header this means the file is not officially released yet they will be updated in the next release see example below function release tx initialize low level cortex m23 gnu 6 x author scott larson microsoft corporation description this function is responsible for any low level processor initialization including setting up interrupt vectors setting up a periodic timer interrupt source saving the system stack pointer for use in isr processing later and finding the first available ram memory address for tx application define input none output none calls none called by tx initialize kernel enter threadx entry function release history date name description 09 30 2020 scott larson initial version 6 1 xx xx xxxx scott larson include tx user h resulting in version 6 x protocols and connectivity protocols and connectivity support are provided as addon modules within netx duo in addons folder some key modules are azure iot https github com azure rtos netxduo tree master addons azure iot dhcp https learn microsoft com azure rtos netx duo netx duo dhcp client chapter1 dns https learn microsoft com azure rtos netx duo netx duo dns chapter1 ftp https learn microsoft com azure rtos netx duo netx duo dns chapter1 http https learn microsoft com azure rtos netx duo netx duo http chapter1 mqtt https learn microsoft com azure rtos netx duo netx duo mqtt chapter1 pop3 https learn microsoft com azure rtos netx duo netx duo pop3 client chapter1 lwm2m https learn microsoft com azure rtos netx duo netx duo lwm2m chapter1 ppp https learn microsoft com azure rtos netx duo netx duo ppp chapter1 sntp https learn microsoft com azure rtos netx duo netx duo sntp client chapter1 and web https learn microsoft com azure rtos netx duo netx duo web http chapter1 for a full list of netx duo addons you can find in the same azure rtos netx duo documentation https learn microsoft com azure rtos netx duo samples we provide sample codes about how to use various addons in the samples samples folder azure iot middleware for azure rtos azure iot middleware for azure rtos https github com azure rtos netxduo tree master addons azure iot a k a iot middleware is a platform specific library that acts as a binding layer between the azure rtos and the azure sdk for embedded c https github com azure azure sdk for c it simplifies building device application that connects to azure iot services the iot middleware also includes built in support for device update for iot hub https learn microsoft com azure iot hub device update device update azure real time operating system an azure service for iot devices to enable the over the air ota updates easily microsoft defender for iot https learn microsoft com azure defender for iot device builders iot security azure rtos an azure service makes iot devices visibility into security posture management and threat detection and integrates with other microsoft tools for unified security management component dependencies the main components of azure rtos are each provided in their own repository but there are dependencies between them as shown in the following graph this is important to understand when setting up your builds dependency graph docs deps png you will have to take the dependency graph above into account when building anything other than threadx itself building and using the library instruction for building the netx duo as static library using arm gnu toolchain and cmake if you are using toolchain and ide from semiconductor you might follow its own instructions to use azure rtos components as explained in the getting started getting started section 1 install the following tools cmake https cmake org download version 3 0 or later arm gnu toolchain for arm none eabi https developer arm com downloads arm gnu toolchain downloads ninja https ninja build org 1 build the threadx library https github com azure rtos threadx building and using the library as the dependency 1 cloning the repo netx duo has a couple of dependencies that are included as submodules bash git clone recursive https github com azure rtos netxduo git 1 define the features and addons you need in nx user h and build together with the component source code you can refer to nx user sample h https github com azure rtos netxduo blob master common inc nx user sample h as an example 1 building as a static library each component of azure rtos comes with a composable cmake based build system that supports many different mcus and host systems integrating any of these components into your device app code is as simple as adding a git submodule and then including it in your build using the cmake add subdirectory while the typical usage pattern is to include netx duo into your device code source tree to be built linked with your code you can compile this project as a standalone static library to confirm your build is set up correctly an example of building the library for cortex m4 bash cmake bbuild gninja dcmake toolchain file cmake cortex m4 cmake cmake build build professional support professional support plans https azure microsoft com support options are available from microsoft for community support and others see the resources resources section below licensing license terms for using azure rtos are defined in the license txt file of this repo please refer to this file for all definitive licensing information no additional license fees are required for deploying azure rtos on hardware defined in the licensed hardware txt licensed hardware txt file if you are using hardware not listed in the file or having licensing questions in general please contact microsoft directly at https aka ms azrtos license resources the following are references to additional azure rtos resources product introduction and white papers https azure com rtos general technical questions https aka ms qna azure rtos product issues and bugs or feature requests https github com azure rtos netxduo issues licensing and sales questions https aka ms azrtos license product roadmap and support policy https aka ms azrtos lts blogs and videos http msiotblog com and https aka ms iotshow azure rtos tracex installer https aka ms azrtos tracex installer you can also check previous questions https stackoverflow com questions tagged azure rtos netxduo or ask new ones on stackoverflow using the azure rtos and netxduo tags security azure rtos provides oems with components to secure communication and to create code and data isolation using underlying mcu mpu hardware protection mechanisms it is ultimately the responsibility of the device builder to ensure the device fully meets the evolving security requirements associated with its specific use case contribution please follow the instructions provided in the contributing md contributing md for the corresponding repository | iot microcontroller embedded mcu rtos azure-rtos tcp tls | os |
libplanet | libplanet discord https img shields io discord 928926944937013338 svg color 7289da logo discord logocolor white discord build status circleci https circleci com gh planetarium libplanet tree main svg style shield circleci codecov https codecov io gh planetarium libplanet branch main graph badge svg codecov nuget https img shields io nuget v libplanet svg style flat nuget nuget prerelease https img shields io nuget vpre libplanet svg style flat nuget libplanet is a net library for creating multiplayer online game in decentralized fashion which means the whole gameplay occurs on a peer to peer network among equal nodes rather than an authorized central server under the hood it incorporates many features e g digital signature bft consensus data replication of a blockchain it has competitive advantages over other solutions for decentralized gaming embeddable a game app does not have to communicate with another running process hence it doesn t require extra marshaling or processes management to draw a parallel libplanet is closer to sqlite than mysql or postgresql isomorphic libplanet is a net library so every game logic can be written in the same language c and run on the blockchain no glue code or smart contracts are needed token independent unlike almost every blockchain system it does not force users to create and deal with yet another cryptocurrency your game can be free to play and enjoyed by regular gamers to learn more about why planetarium is creating technology for fully decentralized games please refer to our blog post discord https planetarium dev discord circleci https app circleci com pipelines github planetarium libplanet codecov https codecov io gh planetarium libplanet nuget https www nuget org packages libplanet digital signature https en wikipedia org wiki digital signature bft https en wikipedia org wiki byzantine fault tolerance blockchain https en wikipedia org wiki blockchain blog post https medium com planetarium introducing planetarium powering games with freedom 22ab1ab70e0e nuget for every stable release we pack libplanet into a nupkg and upload it to nuget and github releases page you can find the changelog for versions from releases page to use libplanet in your game your project needs to add a dependency to libplanet package on visual studio ide run the following command in package manager console install package libplanet if you prefer dotnet cli run the following command instead bash dotnet add package libplanet see also microsoft s docs on different ways to install nuget package 1 in addition to stable releases we also provide pre release packages for every day and every merge commit it is packed into a nupkg and uploaded to nuget with a hyphen suffixed version name for a merge commit build a version name looks like 0 1 0 dev 20181231235959 a0b1c2d where 20181231235959 is a utc timestamp of the build and a0b1c2d is the first 7 hexadecimals of the git commit hash for a daily build a version name is like 0 1 0 nightly 20181231 a0b1c2d unfortunately unity currently does not support nuget there are some unity plug ins to deal with nuget package system and these seem immature at present to use libplanet on unity you need to manually extract libplanet dll from libplanet nupkg file and place it inside of your unity project we are acknowledging the fact libplanet is currently not very usable together with unity and promise to make it better in the next few minor releases until then you could try msbuildforunity which is experimental as of january 2020 releases https github com planetarium libplanet releases msbuildforunity https github com microsoft msbuildforunity 1 https docs microsoft com nuget consume packages ways to install a package build you could build libplanet dll and libplanet stun dll assemblies from the source code the following command installs dependencies required library packages and builds the whole libplanet solution bash dotnet build note that dotnet command is distributed together with net core sdk if you d like to contribute code to the libplanet project in earnest please read our contributor guide contributing md net core https dot net | libplanet planetarium game-development csharp dotnet p2p unity unity3d net blockchain hacktoberfest | blockchain |
taas-app | topcoder teams micro app this is a single spa https single spa js org example react microapp note this application have been configured to be run as child app of a single spa application so while this app can be deployed and run independently we would need some frame single spa https single spa js org which would load it while technically we can achieve running this app as standalone app it s strongly not recommended by the author of the single spa approach see this github issue https github com single spa single spa issues 640 for details requirements node v10 22 1 npm v6 14 6 technology stack react 16 12 router via reach router https reach tech router css modules with scss via babel plugin react css modules https github com gajus babel plugin react css modules react inline svg https github com airbnb babel plugin inline react svg we use redux store for storing page data if we need to edit it otherwise we can use local state react redux toastr https www npmjs com package react redux toastr for success error popups in the bottom left corner config for available variables config which depend on the running environment appenv dev or appenv prod please refer to config dev js and config prod js for application constants which don t depend on the running environment use src constants index js npm commands command description npm start run server which serves production ready build from dist folder npm run dev run app in the development mode npm run dev https run app in the development mode using https protocol npm run build build app for production and puts files to the dist folder npm run analyze analyze dependencies sizes and opens report in the browser npm run lint check code for lint errors npm run format format code using prettier npm run test run unit tests npm run watch tests watch for file changes and run unit tests on changes npm run coverage generate test code coverage report deployment to production npm i install dependencies npm build build code to dist folder now you can host dist folder using any static server for example you may run a simple express server by running npm start deploying to heroku make sure you have heroku cli https devcenter heroku com articles heroku cli installed and you have a heroku account and then inside the project folder run the next commands if there is not git repository initiated yet create a repo and commit all the files git init git add git commit m initial commit heroku apps create create heroku app git push heroku master push changes to heroku and trigger deploying now you have to configure frame app to use the url provided by heroku like https app name herokuapp com topcoder micro frontends teams js to load this micro app how to run locally for development taas app is done using single spa micro frontend architecture https single spa js org so to start it we would also have to run frame app and navbar app here i would show the steps to run locally everything we need local authentication first of all to authenticate locally we have to run a local authentication service clone this repository into taas app inside the folder taas app local login locally run npm run start you would need npm 5 for it this would start a local sever on port 5000 which could be used for local authentication local domain some config files are using domain local topcoder dev com you can change it to localhost in all the configs of each repo mentioned below or on your local machine update file etc hosts add the line 127 0 0 1 local topcoder dev com this file has another path on windows run applications 1 run frame app sh git clone https github com topcoder platform mfe core git cd mfe core inside folder mfe core run nvm use or make sure to use node 10 npm i to install dependencies set environment variables export appmode development export appenv local multi npm run local server this would start frame server on http localhost 3000 open one more terminal window in the same folder and run sh set environment variables export appmode development export appenv local multi npm run local client this host frame client code on http localhost 8080 2 run navbar micro app sh git clone https github com topcoder platform mfe header git cd mfe header update in file mfe header blob dev config dev js values for accounts app connector and auth to http localhost 5000 so navbar app which handles authentication uses our local authentication service sh inside folder mfe header run nvm use or make sure to use node 10 npm i to install dependencies npm run dev this host navbar app as http localhost 3001 navbar topcoder mfe header js 3 run taas micro app sh inside folder taas app run nvm use or make sure to use node 10 npm i to install dependencies set environment variables export stripe public key get the below client id from nylas app settings in nylas account export nylas client id npm run dev this host taas app as http localhost 8501 taas app topcoder micro frontends teams js 4 now we have to update the mfe core app to show our local version of taas app instead of remote one update file mfe core config micro frontends config local json js replace line topcoder micro frontends teams https platform topcoder dev com taas app topcoder micro frontends teams js with line topcoder micro frontends teams http localhost 8501 taas app topcoder micro frontends teams js now open in the browser http localhost 8080 taas myteams if you are not logged in yet you should be redirected to the login page if you cannot see the application and redirect doesn t happen make sure that file http local topcoder dev com 8501 taas app topcoder micro frontends teams js is loaded successfully in the network tab congratulations you successfully run the project if you had some issue please try to go through readme of https github com topcoder platform mfe core and https github com topcoder platform mfe header | front_end |
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SEEChat | seechat single modal experts efficient integration seechat seechat seechat chatglm6b https github com thudm chatglm 6b 1 img src doc img seechat demo1 png alt seechat demo1 width 800 height 900 2 image captioning img src doc img captionwinrate png alt caption win rate width 530 height 400 zero https zero so com 1000 chineseclip https github com ofa sys chinese clip seechat seechat img src doc img mllm model structure png alt mllmmodel width 550 height 200 v1 0 seechat clip vit chatglm blip 2 https arxiv org abs 2301 12597 llava https llava vl github io stage i 360 zero https zero so com 2300 stage ii llava https llava vl github io 158k instruction gpu 3090 a100 conda env create f environment yml https huggingface co thudm chatglm 6b tree main chatglm bin ice text model models chatglm 6b https pan baidu com s 18 f o5a w1djbwsbpmagw checkpoint 100 pth models chatglm 6b qiho cd code sh demo stage2 sh question seechat break img src doc img round dialog png alt round width 1650 height 160 x llm https x llm github io 5 7 visualglm https github com thudm visualglm 6b 5 18 keg mplug owl https github com x plug mplug owl 4 26 blip 2 https github com salesforce lavis 1 30 salesforce llava https github com haotian liu llava 4 17 minigpt 4 https github com vision cair minigpt 4 4 19 king abdullah university of science and technology | chatbot gpt4 mllm | ai |
ADAPTHEALTHINTERNSHIP2022 | adapthealthinternship2022 projects made as a database engineering intern for adapt health during june and july of 2022 the python file was created to load json data from the nppes database the program can intake a list of npi numbers and output a csv file with the results of the query | server |
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RESTful-API | api for testing restful api use of this api to use this as a testing your application s http request functionality using this api description restful api stands for representational state transfer application program interface this api can be used by any programming language there are 4 type of http request get to retrieve data from specific post submit data to database put update specific records delete delete specific records endpoints are the url where http request sends that is where api service can be accessed by the client app skills used nodejs backend express rounting mongodb database edge for viewing html how to use 1 install node npm mongodb 2 write following command in terminal npm install without quotes 3 configure env file 4 now in terminal write following command run the server npm start without quotes 5 now enter some records data in database so they can be fetch using api 6 enjoy screenshots api end points alt api end points https github com adityamudgil2505 restful api blob master assets api end points png fetching complete data alt fetching complete data https github com adityamudgil2505 restful api blob master assets complete data json png creating new record alt creating new record https github com adityamudgil2505 restful api blob master assets inputing data png | server |
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rpi-iotcore | we are announcing the transfer of custodianship of the raspberry pi bsp for windows 10 iot core to the raspberry pi foundation by moving this repository to community administration we hope to foster the continued interest and innovation in raspberry pi with windows the new home for raspberry pi bsp for windows 10 iot core will be at https github com raspberrypi windows drivers raspberry pi board support package for windows 10 iot core welcome to the raspberry pi board support package bsp for windows 10 iot core this repository contains bsp components for the raspberry pi 2 3 and compute module this bsp repository is under community support it is functional with the fall 2018 release of windows 10 iot core but is not actively maintained by microsoft bsp elements included in this repository may contain features that are not available with windows 10 iot core releases for more information about windows 10 iot core see online documentation here http windowsondevices com 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 firmware binaries sample binaries of the firmware is included in rpi bootfirmware bspfiles packages rpi bootfirmware to enable quick prototyping the sources for these binaries are listed below 1 firmware binaries raspberrypi firmware https github com raspberrypi firmware 2 uefi sources rpi uefi https github com ms iot rpi uefi uefi customisations smbios requirements of windows 10 iot core oem licensing https docs microsoft com en us windows hardware manufacture iot license requirements smbios support requires a custom version of kernel img file with the proper smbios values see platformsmbiosdxe c https github com ms iot rpi uefi blob ms iot pi3boardpkg drivers platformsmbiosdxe platformsmbiosdxe c to update the smbios data steps to build the kernel img is provided in the rpi uefi github https github com ms iot rpi uefi build the drivers 1 clone https github com ms iot rpi iotcore 1 open visual studio with administrator privileges 1 in visual studio file open project solution select rpi iotcore build bcm2836 buildbcm2836 sln 1 set your build configuration release or debug 1 build build solution the resulting driver binaries will be located in the rpi iotcore build bcm2836 arm folder export the bsp we provide a binexport ps1 script to scrape the bsp components together into a zip file for easy use with the iot adk addonkit 1 open powershell 2 navigate to rpi iotcore tools 3 run binexport ps1 with the appropriate arguments powershell binexport ps1 c release or binexport ps1 c release isdebug for debug binaries 4 the script will generate a zip file rpi bsp xx zip that can be imported into the iot adk addonkit shell using import iotbsp https github com ms iot iot adk addonkit blob master tools iotcoreimaging docs import iotbsp md powershell import iotbsp rpi c temp rpi bsp xx zip | server |
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redux-falcor | redux falcor static logo png redux falcor redux falcor connects redux applications to the falcor api build status https img shields io travis ekosz redux falcor master svg style flat square https travis ci org ekosz redux falcor npm version https img shields io npm v redux falcor svg style flat square https www npmjs com package redux falcor change log https github com ekosz redux falcor releases installation to install npm install save redux falcor usage first include redux falcor in the initial setup of your application js import createstore combinereducers from redux import reducer as falcorreducer from redux falcor const reducers combinereducers falcor falcorreducer other reducers here const store finalcreatestore reducers next attach the falcorprovider at the top level of your react application js import provider from react redux import falcorprovider from redux falcor import model from falcor import store from store your redux store the falcor model that redux falcor will query const falcor new model cache optional data here const application provider store store falcorprovider store store falcor falcor the rest here falcorprovider provider react render application document getelementbyid app with that in place we can now connect our components to the falcor store provided by redux falcor this should feel familiar to react redux js import react component from react import connect from react redux import reduxfalcor from redux falcor import app from app class appcontainer extends component fetchfalcordeps return this props falcor get currentuser app queries user handleclick event event preventdefault this props falcor call some path then console log some path called catch console error some path failed render return app handleclick this handleclick bind this currentuser this props currentuser function mapstatetoprops state return currentuser state falcor currentuser export default connect mapstatetoprops reduxfalcor appcontainer you can see reduxfalcor has done two things for us first off our falcor model has been provided to our component via the falcor prop this is useful for creating event handlers that call out to our falcor router secondly if we define the method fetchfalcordeps redux falcor will automatically call that function when the component is first mounted to the dom as well as whenever the falcor cache has been invalidated this method should return a promise that fetches all of our falcor dependencies for this component warning because falcor is intrinsically asynchronous your code can not rely on any one piece of state being present when rendering in the example above we give a default for currentuser when we haven t fetched that piece of data yet thanks this library was heavy influenced by gaearon and his work on react redux https github com rackt react redux i would also like to thank trxcllnt for helping solve some of the problems with earlier versions of redux falcor this library would not be as useful as it is now without his input licence visit https supportedsource org projects redux falcor to get a license depending on your company s size the license may be free it is free for individuals | front_end |
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sod | h1 align center sod br br an embedded computer vision machine learning library br a href https sod pixlab io sod pixlab io a h1 api documentation https img shields io badge api 20documentation ready green svg https sod pixlab io api html dependency https img shields io badge dependency none ff96b4 svg https pixlab io downloads getting started https img shields io badge getting 20started now f49242 svg https sod pixlab io intro html license https img shields io badge license dual licensed blue svg https pixlab io downloads forum https img shields io gitter room nwjs nw js svg https community faceio net tiny dreal https pixlab io images logo png https pixlab io tiny dream output https i imgur com yibb8wr jpg introduction sod embedded features notable sod features programming with sod programming interfaces useful links other useful links sod embedded release 1 1 9 july 2023 changelog https sod pixlab io changelog html downloads https pixlab io downloads sod is an embedded modern cross platform computer vision and machine learning software library that exposes a set of apis for deep learning advanced media analysis processing including real time multi class object detection and model training on embedded systems with limited computational resource and iot devices sod was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products designed for computational efficiency and with a strong focus on real time applications sod includes a comprehensive set of both classic and state of the art deep neural networks with their a href https pixlab io downloads pre trained models a built with sod a href https sod pixlab io intro html cnn convolutional neural networks cnn a for multi class 20 and 80 object detection classification a href https sod pixlab io api html cnn recurrent neural networks rnn a for text generation i e shakespeare 4chan kant python code etc a href https sod pixlab io samples html decision trees a for single class real time object detection a brand new architecture written specifically for sod named a href https sod pixlab io intro html realnets realnets a multi class object detection https i imgur com mq98utv png cross platform dependency free amalgamated single c file and heavily optimized real world use cases includes detect recognize objects faces included at real time license plate extraction intrusion detection mimic snapchat filters classify human actions object identification eye pupil tracking facial body shape extraction image frame segmentation notable sod features built for real world and real time applications state of the art cpu optimized deep neural networks including the brand new exclusive a href https sod pixlab io intro html realnets realnets architecture a patent free advanced computer vision a href https sod pixlab io samples html algorithms a support major a href https sod pixlab io api html imgproc image 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frontend-toolbox | frontend toolbox actively maintained list of useful web developments tools libraries assets and any other open source goodies recommended and currently used by the maintainer general html5 spec for web developers http developers whatwg org this specification is intended for authors of documents and scripts that use the features defined in this specification dochub http dochub io alternative documentation repository for css html javascript dom jquery php python hypertext transfer protocol http 1 1 http www w3 org protocols rfc2616 rfc2616 html you should read through it at least once refiddle http refiddle com regular expression regex tester better than the rest feeds web browser frontend standard and webapp feeds to follow http paulirish com 2011 web browser frontend and standards feeds to follow compatibility when can i use http caniuse com compatibility tables for support of html5 css3 svg and more in desktop and mobile browsers html5 css3 readiness http html5readiness com we don t have to wait for entire specs to be completed we can start using some hawtness now html5 please http html5please com use the new and shiny responsibly html5 polyfills https github com modernizr modernizr wiki html5 cross browser polyfills performance httparchive http httparchive org index php performance stats and trends for the worlds most popular sites runtimes ruby installer for windows http rubyinstaller org nodejs http nodejs org win linux osx homebrew http mxcl github com homebrew missing package manager for osx debugging chrome developer tools https developers google com chrome developer tools for chrome firebug http getfirebug com for firefox dragonfly http my opera com dragonfly blog for opera fixing these jquery http fixingthesejquery com how to debugger to debug jquery maps gmaps http hpneo github com gmaps makes it easier to use google maps jvectormap http jvectormap com svg based maps for ie6 maps included leaflet http leaflet cloudmade com an open source javascript library for mobile friendly interactive maps charts graphs visualization reporting datavisualization tools http selection datavisualization ch a collection of tools that we the people behind datavisualization ch work with on a daily basis and recommend warmly flot http www flotcharts org attractive javascript plotting for jquery d3 http d3js org a javascript library for manipulating documents based on data d3 helps you bring data to life using html svg and css rickshaw http code shutterstock com rickshaw a javascript toolkit for creating interactive time series graphs cubism http square github com cubism time series visualization graphael http g raphaeljs com svg charts flotr2 http www humblesoftware com flotr2 graphs and charts for canvas in javascript rgraph http www rgraph net interactive javascript charts and graphs for your website using the html5 canvas tag sencha touch charts http www sencha com products touch charts paid highcharts http www highcharts com paid dygraphs http dygraphs com zingchart http www zingchart com fusion charts http www fusioncharts com milkcharts http mootools net forge p milkchart for mootools weirdos google chart tools https developers google com chart api based envision http www humblesoftware com envision is a library for creating fast dynamic and interactive html5 visualizations arborjs http arborjs org a graph visualization library using web workers and jquery timelinejs http timeline verite co beautifully crafted timelines that are easy and intuitive to use jquery sparklines http omnipotent net jquery sparkline s about ui toolkits twiter bootstrap http twitter github com bootstrap compass twitter bootstrap https github com vwall compass twitter bootstrap bootboxjs http bootboxjs com alert confirm and flexible dialogs for twitter s bootstrap framework jquery ui http jqueryui com demos documentation docco http jashkenas github com docco quick and dirty literate programming documenation generator groc http nevir github com groc is an attempt to further enhance the idea of docco total process build tools assemblers et al should this be merged with javascript build tools section below yeoman http yeoman io a robust and opinionated client side stack comprised of tools and frameworks that can help developers quickly build beautiful web applications brunch http brunch io a lightweight approach to building html5 applications with an emphasis on elegance and simplicity middleman http middlemanapp com a static site generator using all the shortcuts and tools in modern web development lumbar http walmartlabs github com lumbar lumbar is a js build tool that takes a general codebase and list of platforms to generate modular platform specific applications from walmart labs livereload http livereload com css edits and image changes apply live coffeescript sass less and others just work osx app only codekit http incident57 com codekit codekit helps you build websites faster and better osx app only javascript modernizr http modernizr com detects html5 and css3 features in the user s browser underscore http underscorejs org javascript utility belt lodash https github com bestiejs lodash same api but faster and more trendy json3 http bestiejs github com json3 json parser stringifier idiomatic js https github com rwldrn idiomatic js principles of writing consistent idiomatic javascript javascript garden http bonsaiden github com javascript garden growing collection of documentation about the most quirky parts javascript jsconf http jsconf com google javascript style guide http google styleguide googlecode com svn trunk javascriptguide xml standalone libraries no dependencies widow tamer http artequalswork com posts on widows php fix typgraphic widows swipejs http swipejs com lightweight mobile slider script accounting js http josscrowcroft github com accounting js number money and currency formatting with optional excel style column rendering money js http josscrowcroft github com money js currency conversion library done right with no dependencies moment js http momentjs com a 4 8k javascript date library for parsing validating manipulating and formatting dates cookies js https github com scotthamper cookies headless dom browsers phantomjs http phantomjs org headless webkit with javascript api zombiejs http zombie labnotes org insanely fast headless full stack testing using node js build tools grunt http gruntjs com a task based command line build tool for javascript projects uglifyjs https github com mishoo uglifyjs js minifier beautifier closure compiler https developers google com closure compiler r js requirejs optimizer https github com jrburke r js modules and script loaders requirejs http requirejs org the awesomest amd script loader labjs http labjs com script loader yepnope http yepnopejs com conditional loader for polyfills package managers bower http twitter github com bower package manager for the web volo https github com volojs volo create front end projects from templates add dependencies and automate the resulting projects ender http ender no de the no library library books jsbooks http jsbooks revolunet com crazy collection of free js books javascript web applications http www amazon com javascript web applications alex maccaw dp 144930351x javascript the definitive guide http shop oreilly com product 9780596805531 do javascript the good parts http www amazon com javascript good parts douglas crockford dp 0596517742 understanding javascript oop http killdream github com blog 2011 10 understanding javascript oop javascript patterns http shop oreilly com product 9780596806767 do maintainable javascript http shop oreilly com product 0636920025245 do free online eloquent javascript http eloquentjavascript net essential javascript patterns http addyosmani com resources essentialjsdesignpatterns book jquery jquery http jquery com write less do more zepto http zeptojs com jquery alternative for mobile apps super light weight jqapi http jqapi com alternative jquery documentation 10 things i learned from the jquery source http paulirish com 2010 10 things i learned from the jquery source jquery fundamentals http jqfundamentals com massively awesome online course ebook useful jquery plugins select2 http ivaynberg github com select2 jquery based replacement for select boxes it supports searching remote data sets and infinite scrolling of results formatcurrency http code google com p jquery formatcurrency maskedinput http digitalbush com projects masked input plugin fresco http www frescojs com beautiful responsive lightbox chosen http harvesthq github com chosen jquery file upload https github com blueimp jquery file upload best uploader on the planet bigvideo http dfcb github com bigvideo js jquery masonry http masonry desandro com index html a dynamic layout plugin for jquery the flip side of css floats think pintrest layout sisyphus http coding smashingmagazine com 2011 12 05 sisyphus js client side drafts and more client side drafts think gmail and more jquery credit card validator http paweldecowski github com jquery creditcardvalidator jquery tagit http aehlke github com tag it transform text inputs to accept deliminated tag strings visualsearch http documentcloud github com visualsearch enhances ordinary search boxes with the ability to autocomplete faceted search queries grumble http jamescryer github com grumble js tooltips around a 360 degree circle complexify https github com danpalmer jquery complexify js determine complexity of passwords slabtext http www frequency decoder com demo slabtext simpleweather http monkeecreate github com jquery simpleweather jquery sparklines http omnipotent net jquery sparkline s about mobile zepto http zeptojs com jquery mobile http jquerymobile com testing jasmine http pivotal github com jasmine mocha http visionmedia github com mocha new trendy lightweight qunit http docs jquery com qunit j unit inspired i think vows http vowsjs org async bdd test drivers jstestdriver http code google com p js test driver remote automated testing of javascript on different browsers jasmine jstd https github com ibolmo jasmine jstd adapter adapter for using jasmine assertions chai http chaijs com assertions lib should foo should be a string expect expect foo to be a string assert assert typeof foo string should js https github com visionmedia should js should style assertions expect js https github com learnboost expect js expect style assertions mocks stubs spies sinonjs http sinonjs org transcompilation http en wikipedia org wiki source to source compiler languages coffeescript http coffeescript org a little language that compiles into javascript little book on coffeescript http arcturo github com library coffeescript coffeescript tutorials http www youtube com playlist list pl399df0b74063889f feature plcp coffeescript style guide https github com polarmobile coffeescript style guide icedcoffeescript http maxtaco github com coffee script drop in replacement interpreter for coffeescript with async control flow semantics livescript http gkz github com livescript aims for increased expressiveness and code beauty while adding features to assist in functional style programming imperative and object oriented programming and has an optional class system with inheritance calls to super and more roy http roy brianmckenna org an experimental programming language that targets javascript and tries to meld javascript semantics with some features common in static functional languages linters tools to detect errors syntactic semantic otherwise and potential problems in javascript code jshint http www jshint com new hotness sublime linter https github com sublimelinter sublimelinter sublime plugin for jshint jslint http www jslint com old and busted frameworks mv et al http lostechies com derickbailey 2011 12 23 backbone js is not an mvc framework backbone js http documentcloud github com backbone backbone fundamentals http addyosmani github com backbone fundamentals backbone koans https github com larrymyers backbone koans marionette http marionettejs com composite app architecture on top of backbone chaplin https github com chaplinjs chaplin application architecture backbone localstorage https github com jeromegn backbone localstorage ember js http emberjs com angularjs http angularjs org spine http spinejs com knockoutjs http knockoutjs com mvvm yui http yuilibrary com batman js http batmanjs org closure http code google com closure library google web toolkit https developers google com web toolkit canjs http canjs us meteor http meteor com derby http derbyjs com socketstream http www socketstream org jquery http jquery com ext js http www sencha com products extjs javascriptmvc http javascriptmvc com rivetsjs https github com mikeric rivets declarative data binding framework agnostic templates template chooser http garann github com template chooser mustache https github com janl mustache js handlebars http handlebarsjs com as featured in ember dustjs http akdubya github com dustjs fast streaming hoganjs http twitter github com hogan js super lightweight mustache compatible jade templates https github com visionmedia jade as featured in express node ejs http embeddedjs com like erb but for javascript google closure templates http code google com closure templates underscore templates http documentcloud github com underscore template microtemplating http ejohn org blog javascript micro templating icanhazjs http icanhazjs com domjs https github com medikoo domjs dotjs http olado github com dot jsrender http borismoore github com jsrender demos index html plates https github com flatiron plates transparency http leonidas github com transparency quizzes js assessment https github com rmurphey js assessment perfectionkills js quiz http perfectionkills com javascript quiz so you think you know javascript http dmitry baranovskiy com post so you think you know javascript rebecca murphey s challenge https gist github com 576723 nettuts quiz jquery basics http net tutsplus com articles quizzes nettuts quiz jquery basics search index 1 nettuts quiz javascript http net tutsplus com articles quizzes nettuts quiz 3 javascript search index 3 css css3 info http www css3 info all you ever needed to know about css3 css3 please http css3please com the cross browser css3 rule generator semantic grid system http semantic gs page layout for tomorrow scss less stylus linters recess http twitter github com recess twitter s css hinter preprocessors sass http sass lang com sass is an extension of css3 adding nested rules variables mixins selector inheritance and more sass tutorials http www youtube com playlist list pl2cb1f80266e986ea feature plcp compass http compass style org compass is an open source css authoring framework compass tutorials http www youtube com playlist list pl45dd77a4cca76ed3 feature plcp compass twitter bootstrap https github com vwall compass twitter bootstrap susy http susy oddbird net responsive grids for compass less http lesscss org the dynamic stylsheet language stylus http learnboost github com stylus expressive dynamic robust css nib https github com visionmedia nib editors sublime text 2 install and use sublime text 2 package control http wbond net sublime packages package control for these and other plugins zencoding https github com sublimator zencoding editor plugin for high speed html coding and editing markdown preview https github com revolunet sublimetext markdown preview a simple plugin to help you preview your markdown files works with livereload livereload https github com dz0ny livereload sublimetext2 a web browser page reloading plugin sidebar enhancements https github com titobouzout sidebarenhancements enhancements to sublime text sidebar files and folders sublimerepl https github com wuub sublimerepl run an interpreter inside st2 git https github com kemayo sublime text 2 git plugin for some git integration sublimelinter https github com sublimelinter sublimelinter inline lint highlighting jsformat https github com jdc0589 jsformat javascipt formatting plugin prettifier sublime prefixr http wbond net sublime packages prefixr run css through the prefixr http prefixr com api search stackoverflow https github com ericmartel sublime text 2 stackoverflow plugin simple search on stack overflow utility textmate official site http macromates com source on github https github com textmate textmate vi vim macvim http code google com p macvim more mac like than the command line gvim http www vim org download php pc more pc like themes textmate or sublimetext textmate theme http textmatetheme com nodejs http textmatetheme com node js dark tomorrow https github com chriskempson tomorrow theme multiple dark light django https code djangoproject com attachment wiki textmate django tmtheme zip dark green design this is responsive http responsive rga com also see https github com bradfrost this is responsive git starbucks style guide http www starbucks com static reference styleguide icons fontawesome http fortawesome github com font awesome the iconic font designed for use with twitter bootstrap iconsweets http iconsweets2 com a huge free icon set containing over a 1 000 icon glyphicons http glyphicons com designed primarily for toolbars and navigation bars in os x lion the application for iphone iphone 4 ipad and other apple devices cc license glyphish http www glyphish com free set published under a creative commons attribution license famfamfam http www famfamfam com lab icons oldie but goodie led icon set http led24 de iconset png icons make a professionally looking small icon set and are totally free in commercial and open source apps websites fugue icons http p yusukekamiyamane com 3 480 icons are included in png format 16x16 pixels bonus cc license typography beautiful web type http hellohappy org beautiful web type a showcase of the best typefaces from the google web fonts directory fontbomb http fontbomb ilex ca to blow up other websites drag and drop this link fontbomb to your favorites bar free fonts dafont http www dafont com fontsquirell http www fontsquirrel com web font services typekit https typekit com the easiest way to use real web fonts by adobe paid but free limited version available google web fonts http www google com webfonts free easy to use lots of fonts 500 webfonts http www webtype com fontdeck http fontdeck com fontspring http www fontspring com typefront http typefront com fontslive http www fontslive com webink http www webink com typotheque http www typotheque com webfonts kernest http www kernest com textures subtlepatterns http subtlepatterns com tons of really nice subtle patterns love this site noise texture generator http www noisetexturegenerator com favicons piecon http lipka github com piecon pie charts in your favicon education codeacademy http www codecademy com the easiest way to learn to code it s interactive fun and you can do it with your friends nczonline computer science http www nczonline net blog tag computer science nicholas c zakas presents computer science concepts using javascript as language of choice stanford openclassroom http openclassroom stanford edu mainfolder homepage php full courses short videos free for everyone shamelessly aggregated from the following resources a baseline for frontend developers http rmurphey com blog 2012 04 12 a baseline for front end developers brunch plugin wiki https github com brunch brunch wiki plugins tooling the webapp development stack https gist github com 2713513 notes from a talk by paul irish dailyjs http dailyjs com excellent javascript blog javascript jabber podcase http javascriptjabber com kick ass javascript podcast smashing magazine http www smashingmagazine com best web development magazine hipster dev stack http hipsterdevstack tumblr com a curated directory of artisanal development tools that we used to like before they went mainstream nettutsplus http net tutsplus com web development tutorials from beginner to advanced sublime text workflow that beats coda and espresso http tarantsov com blog 2012 02 sublime text workflow that beats coda and espresso | front_end |
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wechat style flat square a details summary b b summary br b 11 59 actions b my blog start https nsddd top zh posts learn about automated testing kubernetes kubectl https nsddd top zh posts deep dive into the components of kubernetes kubectl kubernetes https nsddd top zh posts deep dive into the components of kubernetes scheduler kubernetes cni cri csi https nsddd top zh posts deep dive into the components of kubernetes cni csi cri kubernetes kube apisserver https nsddd top zh posts deep dive into the components of kubernetes kube apiserver kubernetes etcd https nsddd top zh posts deep dive into the components of kubernetes etcd kubernetes https nsddd top zh posts openim cluster deployment parameter passing policy openim kubernetes https nsddd top zh posts openim cluster deployment scheme of https nsddd top zh posts the art of asking questions in open source communities prow kubernetes https nsddd top zh posts prow ecological learning https nsddd top zh posts open source contribution 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607192022 git chglog write your changelog https zhuanlan zhihu com p 607015570 iam https zhuanlan zhihu com p 606959150 zhihu end details hr br go go go https golang org go go go advancend go route md go mermaid graph lr go go 100 go go https golang org go update 2023 go advancend go route md go 30 100 go runtime go cubdoc https go nsddd top x go awesome golang readme md x go 100 awesome golang gomd super readme md x go awesome golang go advancend readme md mit 6 824 awesome golang mit 6 824 readme md https nsddd notion site f8854a0f60d346d98b9eb2ccb6eaef8f kubernetes https nsddd notion site cloudnative kubernetes 2f278e98ed274999829333272415c72d k8s iam https github com cubxxw k8s iam kubernetes iam k8s iam iam https github com marmotedu iam iam http cli restful swagger cache api go mod gomd super mod md go air gomd super go air md gomd super name md go gomd super catalogue md go gomd super go file md gomd super zhenze md gomd super bitwise md go go https www topgoer cn docs gomianshiti mianshiti go http word topgoer com go http wen topgoer com docs gozhuanjia gogfjhk br cloud native docker kubernetes cloud native docker kubernetes cloud native cncf x docker awesome docker kubernetes readme md x kubernetes awesome docker kubernetes cloud native k8s readme md x cloudnative awesome docker kubernetes cloud native readme md cs cs awesome cs course https github com cubxxw awesome cs course csapp linux java python c c vuepress gitbook nodejs vuejs halo redis hugo nginx nosql mysql javascript git markdown web awesome cs https github com cubxxw awesome cs course x java https github com cubxxw awesome cs course blob master java readme md x readme md x readme md x leetcode https github com cubxxw leetcode x web readme md x os https github com cubxxw os x cs cs readme md br linux https github com cubxxw awesome cs course blob master linux readme md git https github com cubxxw awesome cs course blob master git readme md docker docker readme md blockcode cryptology readme md it docker k8s sealos cubdoc https docker nsddd top x linux https github com cubxxw awesome cs course blob master linux readme md x git https github com cubxxw awesome cs course blob master git readme md x docker k8s docker readme md x cryptology readme md br font size 2 in math we trust font spider web web2 web3 c universal brockchain chain md blockchain route md nft blockchain readme md blockchain readme md x blockchain route md x c universal brockchain chain md x nft blockchain readme md x go blockchain readme md br b eth btc fabric git ipfs c ub ipfs git k8s kafka web3 c ub c universal blockchain https github com c ub https github com ethereum wiki wiki 5b e4 b8 ad e6 96 87 5d e4 bb a5 e5 a4 aa e5 9d 8a e7 99 bd e7 9a ae e4 b9 a6 golang div align center a href eth toc md img src https sm nsddd top typora image 20220630192622583 png mail 3293172751 qq com alt style zoom 20 a div x c universal brockchain readme md x web3 eth readme md x chainbrock learning summary md https learnblockchain cn books enterprise br cubxxw https github com kubecub https github com kubecub robot kubbot https github com kubbot sealer https github com sealerio sealer sealos https github com labring sealos kubernetes https github com kubernetes kubernetes openim https github com openimsdk k8sgpt https github com k8sgpt ai k8sgpt horizon https github com horizoncd horizon kubecub https github com kubecub kubecub kubecub openim robot kubbot https github com kubbot pr issue kubecub review https nsddd top cloudnative https docker nsddd top cloud native p align center color red b kubecub kubecub b p div align center a href https github com kubecub img src http sm nsddd top sm202305242215086 png alt twitter header photo 1 style zoom 20 a div kubecub slack ai slack https join slack com t kubecub shared invite zt 1se0k2bae lkyzz0 t byh3rjkvlcuqq https nsddd top archives contributors vscode https nsddd top archives githubdev markdown https github com cubxxw awesome cs course blob master markdown readme md google https zh google styleguide readthedocs io en latest google cpp styleguide details summary b b summary pre code git clone https ghproxy com https github com cubxxw block chain git code pre pre code wget c d o gitsync sh https sm nsddd top uploads 2022 10 27 y0ihb6ix gitsync sh attname gitsync sh echo gitsync sh gitignore sh gitsync sh chmod 777 gitsync sh code pre details br font size 2 fork https github com cubxxw cs awesome block chain fork git clone fock https github com cubxxw cs awesome block chain fork clone your branch images readme font repography logo https images repography com logo svg https repography com recent activity time period https images repography com 26892425 3293172751 block chain recent activity 04864df8cf8f1f104b2b9453e0b47498 badge svg https repography com alt https repobeats axiom co api embed 7053fe17b2bd9f88a0015474635e09cff7dc1ee2 svg repobeats analytics image fossa status https app fossa com api projects git 2bgithub com 2f3293172751 2fcs awesome block chain svg type shield https app fossa com projects git 2bgithub com 2f3293172751 2fcs awesome block chain ref badge shield timeline graph https images repography com 26892425 3293172751 block chain recent activity 04864df8cf8f1f104b2b9453e0b47498 timeline svg https github com cubxxw block chain commits issue status graph https images repography com 26892425 3293172751 block chain recent activity 04864df8cf8f1f104b2b9453e0b47498 issues svg https github com cubxxw block chain issues pull request status graph https images repography com 26892425 3293172751 block chain recent activity 04864df8cf8f1f104b2b9453e0b47498 prs svg https github com cubxxw block chain pulls trending topics https images repography com 26892425 3293172751 block chain recent activity 04864df8cf8f1f104b2b9453e0b47498 words svg br copy github license https sm nsddd top typora cs awesome block chain mail 3293172751 qq com http zh wikipedia org wiki wikipedia cc by sa 3 0 license cc by sa 3 0 copy http zh wikipedia org wiki wikipedia cc by sa 3 0 fossa status https app fossa com api projects git 2bgithub com 2f3293172751 2fcs awesome block chain svg type large https app fossa com projects git 2bgithub com 2f3293172751 2fcs awesome block chain ref badge large br | go blockchain docker fabric git mysql linux web awesome kubernetes cloudnative k8s | blockchain |
aws_serverless | aws lambda serverless data engineering pipeline repo for cloud project 4 serverless data engineering pipeline the purpose of this project is to reproduce the architecture of the example serverless data engineering project below and add nlp analysis for this project i used aws lambda to reproduce the following architecture and analyzed the sentiment of various companies https github com vmtang11 aws serverless blob main serverless pipeline png this project is based on this repo https github com noahgift awslambda | cloud |
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augur-node | augur node build status https dev azure com augurproject augur apis build status augurproject augur node branchname master https dev azure com augurproject augur build latest definitionid 5 branchname master coverage status https coveralls io repos augurproject augur node badge svg branch master service github https coveralls io github augurproject augur node branch master npm version https badge fury io js augur node svg http badge fury io js augur node br deploy https www herokucdn com deploy button svg https heroku com deploy augur node is designed to be a standalone application including a local database setup that supports sqlite as well as postgresql we use knex to manage the local migrations and schema changes building this project uses typescript and can be safely built via npm run build or directly with tsc augur node requires node 10 running configuration by default augur node is configured to connect to a locally running ethereum node at http localhost 8545 and ws localhost 8546 to connect to a hosted ethereum node set the ethereum http and ethereum ws environment variables as follows export ethereum http https rinkeby ethereum nodes augur net export ethereum ws wss websocket rinkeby ethereum nodes augur net also by default augur node will use a local sqlite database to store its processed data for some use cases you may want to use a shared database instance for this purpose we currently support postgresql in addition to sqlite to start augur node connected to a sqlite database export the database url environment variable with a full connection string for your postgresql instance for a quick start with postgresql a development docker image is provided and can be controlled with npm run docker pg start npm run docker pg stop npm run docker pg restart these commands will manipulate a docker container named augur postgres which defaults to having a main database named augur and a single user augur accessible with the password augur the connection string for the instance of postgresql started with the above scripts can be placed in your environment with export database url postgresql augur augur localhost 5432 augur starting for a quick start use the clean start script included with our package json npm install if you haven t yet done so npm run clean start this will ensure the code has been built and database migrations run for a fresh start this will blow away any data that is currently stored in your node if you d like to simply start a node and begin syncing where you left off use the start script npm run start docker augur node has a dockerfile and publish docker image which is capable of running augur node connected to an ethereum node this will only work out of the box for networks which have been deployed as part of our development deployment process right now only rinkeby export ethereum http https rinkeby ethereum nodes augur net export ethereum ws wss websocket rinkeby ethereum nodes augur net scripts docker run sh augurproject augur node hosted ethereum nodes currently augur node has configurations built in for connecting to our hosted rinkeby node more will be added as we bring up these nodes for each possible network pass the network name to the start command for augur node e g to use clean start to run with a fresh database npm run clean start rinkeby or to run without clearing out previous state npm run start rinkeby schema migrations migrations are managed via knex and behave similarly to activerecord migrations as you add migrations knex tracks the currect applied state in the database and allows you to apply new migrations as they come in see http knexjs org migrations cli creating migrations new migrations are in typescript and are store in src migrations to use the knex tool to generate a migration in this directly use the development enironment knex migrate make x ts env development name running migrations make sure your typescript is built before running migrations knex migrate latest env build data seeds seed files are used to seed the test database unlike migrations seeds are meant only for boostrapping and so each time seeds are run all the source files are executed not just newly added ones currently the seeds files drop and re create the tables with each application seeds are stored in src seeds environment ts see http knexjs org seeds cli creating seeds this is similar to creating new migrations but only one should exist per table for clarity knex seed make seed name env development running seeds for build env knex seed run env build tests tests run with in memory sqlite dbs for each test execution so they won t overlap each other the framework will automatically initialize and seed the tests with the data in seed test for each test complete pre test setup npm install npm run build running tests npm test | blockchain |
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devCamper- | devcamper by maku pauline mazakpe this is the recreation of the devcamper project built by brad travesy in his course https www udemy com course nodejs api masterclass learn lecture 16581786 start 60 questions the aim of this project is to sharpen my skills by learning proper nodejs backened development skills such that i can create backends for my android kotlin apps the link to the project will be found here project link https tranquil waters 05395 herokuapp com installing this app clone this github repo in your terminal cd devcamper npm install npm run dev | server |
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proj-covid | proj covid | server |
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course-itcs4180 | itcs 4180 our projects for the itsc 4180 mobile application development course yay professor shehab s gitlab references https gitlab com mshehab uncc mobile apps fall 2017 week 1 introduction to java java review data structures week 2 introduction to android and event handling learning ui string resources buttons radio buttons onclick event handlers week 3 managing activities and more on layouts activities explicit and implicit intents data passing serializable parcelable start activity for result week 4 concurrency and thread communication threads and thread pool concurrency handlers thread communication using handler concurrency asynctask week 5 http connections checking network connection postman httpurlconnection downloading images managing params httpurlconnection get and post data passing using interfaces week 6 api and data parsing intro to apis json parsing http www jsoneditoronline org android and xml parsing xml sax parser xml pull parser week 7 midterm midterm and midterm practice week 8 listview and cardview listviews and adapters managing simple listview with and without objects updating listview data extending listview arrayadapter using recyclerviews using cardviews week 9 fragments fragment life cycle fragment ui components sending data from activity to fragment sending data from fragment to activity dynamically adding fragments managing multiple fragments week 10 http and other popular libraries helpful links https github com square okhttp wiki recipes https github com google gson week 11 firebase and data storage helpful links https firebase google com | front_end |
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large-language-models-and-chatgpt-in-three-weeks | large language models and chatgpt in three weeks welcome to the large language models and chatgpt in three weeks https learning oreilly com live events large language models and chatgpt in 3 weeks 0636920090988 code repository in this repo we dive deep into understanding and utilizing large language models with a specific focus on openai s gpt 3 gpt 3 5 turbo chatgpt and gpt 4 for more check out my expert playlist https learning oreilly com playlists 2953f6c7 0e13 49ac 88e2 b951e11388de project overview the project is divided into the following sections 1 introduction to large language models llms we start with a brief introduction to llms understanding their architecture strengths and potential use cases 2 working with chatgpt chatgpt is a version of the gpt model fine tuned for generating conversational responses we ll learn how to make api calls to chatgpt and interpret the responses 3 latency evaluation we analyze and compare the latency of api calls when using hosted api services versus running models on local compute resources this helps in making informed decisions about where to run these powerful models 4 cost calculation the code includes methods to calculate the cost of api calls based on the token usage by different models 5 generating responses with openai models we use the openai s chatcompletion and completion methods to generate responses from prompts the code in this project helps you to get hands on experience with these powerful language models and also gives insights about factors to consider when deciding to use these models such as cost and latency prerequisites familiarity with python an openai api key you can obtain it by signing up on the openai website https www openai com familiarity with machine learning concepts and natural language processing would be helpful but not mandatory installation 1 clone this repository to your local machine 2 install the required python libraries using pip bash pip install r requirements txt ensure you have set the following environment variables with your api keys or tokens openai api key your openai api key cohere api key your cohere api key if using cohere s services hf token your hugging face token if using hugging face s services you re all set to explore the notebooks usage jupyter notebooks this project contains several jupyter notebooks each focusing on a specific topic you can find them in the notebooks directory 1 intro to prompt engineering notebooks intro prompt engineering ipynb this notebook introduces the concept of prompt engineering a crucial aspect of effectively using language models 2 making predictions notebooks making predictions ipynb here we delve into the process of making predictions with large language models and interpret their responses 3 cost projecting notebooks cost projecting ipynb this notebook focuses on understanding and calculating the costs involved in using large language models it includes functions to calculate the cost of api calls based on the token usage by different models 4 use cases notebooks use cases ipynb in this notebook we explore various use cases for large language models providing practical examples of how they can be used in different scenarios contributing pull requests are welcome for major changes please open an issue first to discuss what you would like to change license this project is licensed under the mit license see the license file for details | ai |
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agentinstruct | agent instructs large language models to be general zero shot reasoners the source code repo for paper agent instructs large language models to be general zero shot reasoners https arxiv org abs 2310 03710 code coming soon citation bibtex article 2023agentinstruct title agent instructs large language models to be general zero shot reasoners author nick crispino and kyle montgomery and fankun zeng and dawn song and chenguang wang journal arxiv preprint arxiv 2310 03710 year 2023 | ai |
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autofocus | travis build status https img shields io travis uptake autofocus svg label travis logo travis branch master https travis ci org uptake autofocus autofocus coyote gallery coyote1 jpg this project is inactive and its app and datasets are no longer available this project uses deep learning computer vision to label images taken by motion activated camera traps according to the animals they contain accurate models for this labeling task can address a major bottleneck for wildlife conservation efforts further reading uptake org autofocus case study https www uptake org impact special projects machine learning meets wildlife conservation https www lpzoo org blog machine learning meets wildlife conservation getting the app if you just want to get labels for your images you can use the following steps to run a service that passes images through a trained model 1 make sure docker https www docker com get started is installed and running 2 run docker pull gsganden autofocus serve 1 2 3 to download the app image note that it takes up about 4gb of disk space this dataset is no longer available 3 run docker run p 8000 8000 gsganden autofocus serve 1 2 3 to start the app 4 make post requests against the app to get predictions for instance with the base of this repo as the working directory you can send the image fawn jpg to the app with this command bash curl f file gallery fawn jpg x post http localhost 8000 predict or send the zipped gallery directory to the app with this command bash curl f file gallery zip x post http localhost 8000 predict zip see autofocus predict example post py and autofocus predict example post r for example scripts that make requests using python and r respectively for a single image the app will respond with a json object that indicates the model s probability that the image contains an animal in each of the categories that it has been trained on for instance it might give the following response for an image containing raccoons json beaver 7 996849172335282e 16 bird 6 235780460883689e 07 cat 9 127776934292342e 07 chipmunk 4 231552441780195e 09 coyote 2 1184381694183685e 05 deer 3 6601684314518934e 06 dog 1 4745426142326323e 06 empty 0 0026697132270783186 fox 2 7905798602890358e 14 human 1 064212392520858e 05 mink 2 7622977689933936e 13 mouse 4 847318102463305e 09 muskrat 6 164089044252078e 16 opossum 9 763967682374641e 05 rabbit 2 873173616535496e 05 raccoon 0 9986177682876587 rat 4 3888848111350853e 10 skunk 4 078452775502228e 07 squirrel 1 2888597211713204e 06 unknown 0 0004612557531800121 woodchuck 1 2980818033154779e 14 the model generates each of these probabilities separately to allow for the possibility e g that an image contains both a human and a dog so they will not sum to 1 in general the predict zip endpoint returns a json object mapping file paths to model probabilities formatted as above during development it is convenient to run the app in debug mode with the local directory mounted to the docker container so that changes you make locally are reflected in the service immediately docker run it v pwd autofocus predict image api p 8000 8000 gsganden autofocus serve python app app py getting the model the app described above uses a multilabel fast ai model you can download that model directly with the following command this command was written to run from the repo root this dataset is no longer available autofocus train model train multilabel model ipynb contains the code that was used to train and evaluate this model getting the data the model described above was trained on a set of images provided by the lincoln park zoo s urban wildlife institute that were taken in the chicago area in mid summer 2016 and 2017 if you wish to train your own model you can use the instructions below to download that dataset and other related datasets if necessary create an aws account install the aws cli tool pip install awscli and set up your aws config and credentials aws configure all of the commands below are written to run from the repo root use this commend to download a preprocessed version of the lincoln park zoo 2016 2017 dataset to autofocus data you can change the destination directory if you like no longer available unpack the tarfile bash mkdir pwd data lpz 2016 2017 tar xvf pwd data filename c pwd data lpz 2016 2017 delete the tarfile bash rm pwd data filename this dataset contains approximately 80 000 images and a csv of labels and image metadata it occupies 17 1gb uncompressed so you will need about 40gb free for the downloading and untarring process the images have been preprocessed by trimming the bottom 198 pixels which often contains a metadata footer that could only mislead a machine learning model and resizing to be 512 pixels along their shorter dimension in addition the labels have been cleaned up and organized if you would like to work with data that has not been preprocessed as described above replace filename lpz 2016 2017 processed tar gz with filename data 2016 2017 tar gz you will need to have about 100gb free to download and untar the raw data this dataset is no longer available autofocus build dataset lpz 2016 2017 process raw py contains the code that was used to generate the processed data from the raw data a second dataset from the lincoln park zoo s urban wildlife institute contains approximately 75 000 images 227 x 227 pixels and a csv of labels and image metadata from the chicago area in 2012 2014 it takes up 7 9gb uncompressed to get this data follow the same steps as for the 2016 2017 dataset but replace filename lpz 2016 2017 processed tar gz with filename lpz 2012 2014 tar gz and use this command to unpack the tarfile this dataset is no longer available bash tar xvf pwd data filename c pwd data a third dataset from the lincoln park zoo s urban wildlife institute contains unlabeled three image bursts from 2018 it takes up 5 7gb uncompressed to get this data follow the same steps as for the 2012 2014 dataset but replace filename lpz 2016 2017 processed tar gz with filename lpz 2018 tar gz this dataset is no longer available running tests to test the app run pip install r requirements dev txt and then pytest the tests assume that the app is running locally on port 8000 according to the instructions above example images buck gallery buck jpeg fawn gallery fawn jpg racoons gallery raccoons jpeg | computer-vision deep-learning fastai pytorch conservation-bio camera-traps | ai |
technology-executive-reading-list | technology executive reading list this is a list of readings and watchings for technology executives preamble as time passes sometimes technical people such as software engineers and data scientists either explicitly or implicitly take on management or leadership roles some technical people even start off with hybrid roles that combine the technical with management or leadership even if it is implicit and unofficial and while management and leadership are not the same things desipte many managers inaccurately asserting that they are engineering science and management leadership are different skills but those are skills that can be learnt this is a curated list of readings and watchings that in the opinion of the curator of this list can help one in learning some of those skills of course not everything can be learnt by reading some things you need to learn through first hand experience through making your own mistakes and sometimes through suffering the purpose of this document is not to present you with a list of everything you need to know this document is an opinionated list from someone who became very very technical but who has also both explicitly and implicitly took on management and leadership roles ymmv audience this document is targeted at technical people who take on management or leadership roles this includes technical people who are not officially recognized as taking on that role with a title but when it is officially recognized with a title titles such as the following are the ones i am aware of being sometimes used chief technology officer cto chief science officer cso chief information officer cio senior vice president svp of technology senior vice president svp of engineering senior vice president svp of data science vice president vp of technology vice president vp of engineering vice president vp of data science director of technology director of engineering director of data science technical director td engineering manager staff software engineer staff data scientist lead software engineer lead data scientst etc topics there are many topics that are of interest to those who are engaging in management or leadership it can benefit you to understand humans both because you will work with them and because they will be your users or customers in some ways this understanding humans is a hard thing to do for many and not necessarily because the topic is hard but more because you have to try to make yourself see the world as it actually is rather than how you might prefer it be regardless of how that makes you feel it can also benefit you to understand how learning happens the following is a list of topics of interest in alphabetical order and note i don t necessarily agree with everything claimed in every paper book article or video listed here but something being listed here means i find at least part of it relevant adaptation executors adaptation executors campbell s law campbells law cardwell s law cardwells law coalitional behavior coalitional behavior cobra effect cobra effect complex systems complex systems conway s law conways law culture culture entrepreneurialism entrepreneurialism forecasting forecasting goodhart s law goodharts law handicap principle handicap principle peer effects peer effects principal agent problem principal agent problem social learning social learning systems thinking systems thinking adaptation executors the psychological foundations of culture http www cep ucsb edu papers pfc92 pdf by john tooby leda cosmides campbell s law assessing the impact of planned social change https dx doi org 10 1016 2f0149 7189 2879 2990048 x by donald thomas campbell see also cobra effect cobra effect goodhart s law goodharts law cardwell s law cardwell s law and the political economy of technological progress http www sciencedirect com science article pii 0048733394010064 by joel mokyr cobra effect the cobra effect http freakonomics com podcast the cobra effect a new freakonomics radio podcast by stephen j dubner why dolphins are deep thinkers https www theguardian com science 2003 jul 03 research science see also campbell s law campbells law goodhart s law goodharts law coalitional behavior hierarchy in the forest the evolution of egalitarian behavior http www goodreads com book show 2131522 hierarchy in the forest by christopher boehm footnotes on things i ve been reading christopher boehm hierarchy in the forest http abandonedfootnotes blogspot com 2010 07 footnotes on things ive been reading 21 html by xavier marquez victimization of high performers the roles of envy and work group identification http psycnet apa org journals apl 99 4 619 by eugene kim theresa m glomb hot shots and cool reception an expanded view of social consequences for high performers http psycnet apa org psycinfo 2017 06323 001 by elizabeth m campbell hui liao aichia chuang jing zhou yuntao dong leadership in an egalitarian society https www ncbi nlm nih gov pmc articles pmc4258461 by christopher r von rueden michael gurven hillard kaplan jonathan stieglitz the biology of moral systems https www goodreads com book show 1446851 the biology of moral systems by richard d alexander complex systems why complexity is different https mystudentvoices com why complexity is different ecd498e0eccb by yaneer bar yam when systems engineering fails toward complex systems engineering http necsi edu research engineering engineerfail html by yaneer bar yam conway s law how do committees invent http www melconway com home committees paper html by melvin edward conway culture see adaptation executors adaptation executors social learning social learning entrepreneurialism psychology beats business training when it comes to entrepreneurship https www economist com news business 21729454 among small business owners togo least psychology beats business training when it comes teaching personal initiative beats traditional training in boosting small business in west africa http science sciencemag org content 357 6357 1287 by francisco campos michael frese markus goldstein leonardo iacovone hillary c johnson david mckenzie mona mensmann forecasting the signal and the noise why so many predictions fail but some don t http www goodreads com book show 13588394 the signal and the noise by nate silver failure at the top how power undermines collaborative performance http psycnet apa org doi 10 1037 pspi0000045 by john angus d hildreth cameron anderson superforecasting the art and science of prediction http www goodreads com book show 23995360 superforecasting by philip e tetlock dan gardner identifying and cultivating superforecasters as a method of improving probabilistic predictions https doi org 10 1177 2f1745691615577794 by barbara mellers eric stone terry murray angela minster nick rohrbaugh michael bishop eva chen joshua baker yuan hou michael horowitz lyle ungar philip tetlock goodhart s law tiny nails http biologicallydetermined blogspot com 2013 06 tiny nails html by pseudonym biologically determined government guidelines and unintended consequences http econlife com 2012 04 government guidelines and unintended consequences by elaine schwartz see also cobra effect cobra effect campbell s law campbells law handicap principle the handicap principle a missing piece of darwin s puzzle http www goodreads com book show 885547 the handicap principle by amotz zahavi avishag zahavi peer effects peer effects in education a survey of the theory and evidence https doi org 10 1016 b978 0 444 53707 2 00003 7 by dennis epple richard e romano principal agent problem the criminal justice system creates incentives for false convictions http dx doi org 10 1080 0731129x 2013 817070 by roger koppl meghan sacks social learning the secret of our success how culture is driving human evolution domesticating our species and making us smarter http www goodreads com book show 25761655 the secret of our success by joseph henrich systems thinking systems thinking speech by dr russell ackoff https www youtube com watch v eblh7rz3rhu by russell lincoln ackoff | server |
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pho-devstack | ph devstack npm version npm image npm url automated workflow for front end developers in one tasty bowl of code status this software is archived no new development is going on feel free to fork it we ve used this dev stack in source source for all new landing pages and in abdoc abdoc for all new client projects since february 2014 as replacement you can use webpack based dev stack like create react app https create react app dev webpack practically replaced gulp based dev stacks and offers more features at cost of worse performance features yeoman generator https github com madebysource generator pho livereload without browser reload for css sass and less stylesheets compilation html javascript and css minification advanced image handling base64 inlining image optimization sprite generation browserify modules written in javascript or coffeescript linting javascript configurable directory structure replacing text in html meta tags analytics codes scripts and stylesheets revisioning running build after file is changed configurable plugins stays up to date installation run npm install g gulp yo generator pho ph devstack uses gulp gulp as task runner yeoman yeoman for scaffolding new projects and bower bower for installing client side packages learn more about installing ph at getting started guide docs getting started md documentation for a getting started guide faq etc see documentation docs readme md want to contribute see our contributing guide contributing md license mit license http opensource org licenses mit license php npm url https npmjs org package pho devstack npm image http img shields io npm v pho devstack svg style flat gulp http gulpjs com yeoman http yeoman io bower http bower io source https madebysource com abdoc http abdoc net | front_end |
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ITSP-Project | offside detection system for football team tech titans team members pre parthasarathi khirwadkar 16d070001 sriram yenamandra 16d070017 rahul chanduka 160070003 ishank juneja 16d070012 pre abstract here we present our attempt towards the creation of a mechanism by which the problem of incorrect offside decisions made by referees in football can be addressed the offside detection problem is simplified by classifying the attacking and defending teams based on the half in which the forward ball is played further the assumption that team members wear the same coloured jerseys works towards simplifying the problem the implementation involves two separate modules that track the ball and the players respectively the successful integration of the modules leads to the desired goal of offside detection the model works well with numerous sample situations of a single defender against two attacking players motivation being avid football followers we commonly notice unfair decisions being called due to an error of judgment on the part of the referees which is a limitation which cannot be overcome in the present system the off side rule is by far the rule that is the most abused ideating and creating a system which can handle the rule in question in a fair manner will go a long way in the game of football usage of program to detect offside in a pre recorded video go to the folder in which code and video are stored and type the following in terminal javascript python offside detection py v path name of video file to detect offside from live camera feed javascript python offside detection py while running the program press i to input and q to quit input patch of jersey of any player of team a by clicking and dragging with the mouse and making sure that background does not get included the size of patch doesn t matter much though it is better to have a bigger patch image images point1 png input patch of jersey of any player of team b in similar manner image images point2 png input patch of ball image images point3 png input two points along each side of the field in the exact order as shown i e top edge left edge bottom edge then right edge image images point4 png approach to problem the problem was broken down into a ball tracking module and a player tracking module then combining the two to detect offside the ball tracking module would take care of detecting the ball tracking it and detecting whether a ball pass has occurred the player tracking module would detect the players of each team attacking and defending and get an approximate location of the foot of the players finally the two would be integrated into one program the ball pass is detected only when it is passed from one player to different player if the player of the attacking team receiving the pass when he receives the pass is behind the last player of the defending team then offside is called the offside region is shown by a line passing through the position of the last defender note that offside is not called if the attacking player is behind the offside line but doesn t receive the ball coding technicality we used python 2 7 and opencv 3 0 and did the coding on pycharm ide the installation procedure was made easy by using anaconda python it is recommended to create virtual environment using anaconda and install opencv on it rather than using the in built python in case of macos and linux we chose python as it is easy to code in and it was fast enough for our application initial learning we initially started learning opencv and python by writing basic codes and studying examples given in opencv library and on internet we found the following links to be very helpful along with the documentation and stackoverflow http www pyimagesearch com http www pyimagesearch com http docs opencv org trunk d6 d00 tutorial py root html http docs opencv org trunk d6 d00 tutorial py root html https opencv python tutroals readthedocs io en latest py tutorials py tutorials html https opencv python tutroals readthedocs io en latest py tutorials py tutorials html ball tracking we tried multiple techniques for ball detection namely colour thresholding histogram backprojection hough circle transform and dlib library s correlation tracker out of these colour thresholding seemed to work the best its simple and efficient occam s razor p although it will give noise if colour of ball matches the background and thus we used it along with background subtraction histogram backprojection is another good technique and using a 2d histogram of hue and value gives us some robustness in terms of lighting condition hough circle transform gave too much noise dlib library s correlation tracker is great but it failed at tracking small and fast moving object like football it also slows down immensely if number of objects to be tracked exceeds 3 detection and tracking of ball on the basis of colour using thresholding get a sample patch of the ball as input convert from the default rgb space to the hsv colour space and get the range of hue saturation and value apply background subtraction to get a mask apply the mask to the frame image images dnt1 png image images dnt2 png threshold the frames of the video to get contour of the ball which would be the contour with largest area image images dnt3 png generate a minimum enclosing circle and get center of the contour to detect the ball for tracking do this for every frame and store points of previous 10 20 frames the pass is detected by change in trajectory which in turn is detected by a large enough change in direction of vector joining the position of center 10 frames before to the current position this is done so as to eliminate false detection due to noise in the position of center of ball image images dnt4 png player tracking we first thought of using dlib library s correlation tracker but we realised that it became very slow if we tracked more than 3 players hence it could not be used for real time application we even tried hog descriptor with svm which is a general method of detecting humans using machine learning and comes pre trained in supopencv but it gave very disappointing results and was very slow in this case we used histogram backprojection to detect players from the colour of their jersey we take a patch of jersey as input and calculate its histogram with axes hue and saturation and normalize it image images pt1 png then we used the calcbackproject function of opencv to generate a grayscale image where the magnitude of pixel value is proportional to its similarity to the patch given as input image images pt2 png we then threshold this image and apply erosion and dilation to remove noise and we obtain contours of the jersey of the players this is separated from the noise on the basis of contour area and the fact that height of minimum enclosing square is greater than the width image images pt3 png the location of the player s feet is approximated to be 1 5 times the height of the contour below the center of the contour generating the top view the user first inputs the endpoints of the field in our case the endpoints were not visible hence we take 2 points along each sideline and solve the equation of line to get the 4 intersection points using the getperspectivetransform function of opencv we obtain the homography matrix which maps source points to destination points the top view location of the feet of players and the ball is obtained by following formula x hx where his the homography matrix 3x3 matrix given by getperspectivetransform function x x sub 1 sub y sub 1 sub z sub 1 sub where x sub 1 sub y sub 1 sub is the location of the foot in camera view and x x sub 1 sub y sub 1 sub z sub 1 sub sup t sup the top view co ordinate are x sub 1 sub z sub 1 sub y sub 1 sub z sub 1 sub the offside line is drawn by inverse mapping the endpoints of the line in the top view offside detection at every pass detected we check its validity by checking whether it was passed between different players the list index of the previous passer is stored in and checked whether the pass was received by a different player the player in possession of the ball is identified measuring distance between ball s center and location of feet of players this can give false positive if the ball is bouncing and the nearest player detected as passer to overcome this a change in trajectory was identified as pass and offside checked only if the distance was less than some maximum 100 in our case players of the defending team are sorted based on x coordinate of their location in top view and offside line is drawn if the ball is passed between players of defending team in this case team b then offside is not detected if the ball is passed between players of attacking team team a then we check whether the x coordinate of the receiving player is less than the last player of team b if that s true then offside is called result image images result png future prospects of improvement the player s and ball s location can be detected with much greater accuracy by combining data from multiple cameras in our application there is still the issue of occlusion i e when one player blocks the view of another player this can be resolved by using multiple viewpoints using multiple cameras to cover entire field using better algorithms to detect players and ball as which does not depend on colour of jersey | ai |
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Pewlett_Hackard_Analysis | pewlett hackard analysis build an employee database with sql and apply data modeling engineering and analysis skills to the project project overview pewlett hackard is a large company with several thousands of employees as many current employees are reaching retirement age pewlett hackard is looking for a way to keep the company running smoothly as a significant portion of its workforce is about to retire pewlett hackard needs to generate a plan to make a smooth transition between retirees and new hires there are four things pewlett hackard wants to address from this employee database analysis project the number of current employees that are going to retire in the near future the positions are going to be vacant due to employee retirement the number of positions that need to fill with new hires the number of retiring employees that are eligible for a mentorship program purpose create entire entity relationship diagrams that identify relationships between six data tables that hold different employee information perform data modeling that creates a clear database structure and data flow paths create and use a sql database in postgres use structured query language to explore and manipulate data in pgadmin import and export large csv datasets into pgadmin use different joins aggregate functions and where statement to create new tables in pgadmin results deliverable 1 72 458 employees are going to retire in the near future these employees fall in 7 different title categories most of the retiring employees are senior level employees retiring title https github com wuyang080510 pewlett hackard analysis blob main images retiring titles png deliverable 2 1549 current employees are eligiable to participate the mentorship program these employees fall into 6 positions if the company is going to fill all the vacancies the overall ratio of mentor to new hires is around 1 mentor to 46 new hires the staff position has the lowest mentor to new hire ratio of 1 mentor to 49 new hires the assistant engineer position has a higher mentor to new hire ratio of 1 to 37 group mentoring is a suitable metoring type for pewlett hackard mentor vacancies ratio by title query https github com wuyang080510 pewlett hackard analysis blob main images metor 20to 20vacancies 20ratio 20by 20title 20query 20 png mentor to vacancy by title https github com wuyang080510 pewlett hackard analysis blob main images mentor to vacancy by title png summary among the 72 458 retiring employees 25 916 employees have the title of senior engineer and 24 926 employees with the title of senior staff retiring employees with these two titles make up 70 of the total retiring employees this number indicates that pewlett has a high hiring need for engineers and staff the development production and sales departments are the top 3 departments with the highest number of retiring employees the human resource department needs to evaluate the skills gaps with the leave of these employees and form structured plans for recruitment internal promotion and knowledge transfer future retirees by department https github com wuyang080510 pewlett hackard analysis blob main images vacancies 20by 20department png as mentioned in the result section the overall mentor to new hire ratio by position is 1 to 46 to show the mentors for each department i joined the mentorhip eligibility table with the departments table and dept emp table development department has the highest number of eligible mentors mentors by department query https github com wuyang080510 pewlett hackard analysis blob main images eligible 20mentors 20for 20each 20department 20query png mentors by department https github com wuyang080510 pewlett hackard analysis blob main images eligibille 20mentors 20by 20department png to check if there are enough qualified retirement ready employees in each department to mentor the next generation of pewlett hackard employees i created a new table that divides future vacancies and mentors into departments judging from the vacancies and mentors in each department the overall mentor to new hire ratio is around 1 to 42 there are fewer mentors for new employees in the finance department but the gap is not significant compared to other departments mentor to vacancies ratio by department query https github com wuyang080510 pewlett hackard analysis blob main images mentor 20to 20vacancies 20ratio 20by 20department 20query png vacancy mentor ratio by department https github com wuyang080510 pewlett hackard analysis blob main images mentor 20to 20vacancies 20ratio 20by 20department png based on the above information group mentoring would be a good choice for implementing a mentorship program for pewlett hackard this type of mentorship is great to provide a general direction on the workflow process and to share multiple levels of expertise and knowledge efficiently however different members have different needs and 1 on 1 mentorship offers a better personal relationship between mentors and new employees it would be a good choice for pewlett hackard to provide on request 1 on 1 mentorship to its new hires this way the mentor can help new employees identify and correct the personal gaps in generic skills and knowledge in their new positions | server |
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blockchain-voting-system- | blockchain voting system v 0 1 blockchain voting system project checkout github decentralized election voting system project using blockchain technology such as metamask hardhat and remix ide technologies used 1 metamask 2 hardhat 3 visual studio code languages used 1 react js 2 ether js 3 solidity live demo https voting netlify app goerli testnet https goerli etherscan io address 0x0fee2908afda3d25e876c05ed5a6b9e40c37d909 code youtube https www youtube com watch v ojgeng8afba how to run install all packeges by command npm install run neo4j by command in bin folder of neo4j installed folder neo4j console run the nodejs code npm run devstart voting is a fundamental democratic activity many experts believe that paper balloting is the only appropriate method to ensure everyone s right to vote but this method is prone to errors and abuse many nations utilize digital voting methods to solve the difficulties of paper balloting a single flaw in digital voting may lead to massive vote rigging election voting methods must be legal accurate safe and convenient however issues with digital voting methods may restrict acceptance due to its end to end verification capabilities blockchain technology was developed to address these problems to guarantee we have used blockchain technology for anonymity privacy verifiability mobility integrity security and fairness in voting follow my github for next projects blockchain react technology digital privacy legal project security | blockchain-voting voting-system blockchain-voting-system blockchainvoting blockchain ethereum privacy | blockchain |
data-augmentation-with-llms | this is the official implementation of the following paper br gaurav sahu https github com demfier pau rodriguez issam laradji parmida atighehchian david vazquez and dzmitry bahdanau data augmentation for intent classification with off the shelf large language models https aclanthology org 2022 nlp4convai 1 5 pdf proceedings of the 4th workshop on nlp for conversational ai acl 2022 if you find this code useful please cite bibtex inproceedings sahu etal 2022 data title data augmentation for intent classification with off the shelf large language models author sahu gaurav and rodriguez pau and laradji issam and atighehchian parmida and vazquez david and bahdanau dzmitry booktitle proceedings of the 4th workshop on nlp for conversational ai month may year 2022 address dublin ireland publisher association for computational linguistics url https aclanthology org 2022 nlp4convai 1 5 pages 47 57 running experiments datasets preparing data this step is only required if there you are starting from scratch i e no data has been prepared at all note that you are still required to create the symbolic link as suggested in the previous step to get started with data preparation run the following python prepare dataset py name dataset name data root data this will generate samples for all the supported modes upsample gpt3 gptj eda you can enable top k and top p sampling by specifying appropriate values for top k 0 and top p 0 1 flags note if generating for gptj make sure there s enough gpu memory recommended 32g this will also setup the data directory structure for dataset name it will prepare a dataset pkl and data full suite pkl it will also generate the corresponding label maps name2id id2name make sure you have wget installed in your local machine note hwu64 was downloaded from https github com alexa dialoglue banking77 and clinc150 were downloaded using the huggingface datasets library snips was downloaded from https github com miulab slotgated slu refer to the fewshot baseline clinc configuration in configs exp configs fs exps py for full few shot experiment config running experiments to run baseline experiments following the original clinc setting 1 edit the baselines variable inside configs exp configs fs exps py here s an example for running small and plus baselines together python baselines hu cartesian exp group do multiple runs to account for stochasticity in metrics run list range 10 dataset name clinc oos num labels 151 config c oos id 150 for c in plus small config small plus full few pure model name intent classification backbone bert large uncased exp type baseline intrinsic baseline lr 4e 5 batch size 32 epochs 6 warmup ratio 0 1 weight decay 0 01 metrics to compute metrics accuracy f1 precision recall metric best accuracy ngpu 1 eval accumulation steps 30 note for clinc name clinc oos oos id 42 for small plus imbalanced and oos id 150 for full full it also supports no oos classifiers set oos id none and num labels 150 for snips name snips official oos id none and it only supports full settings make sure that oos id is set correctly refer to other config variables inside configs exp configs py for partial few shot ex2 setup and full few shot configs 3 run experiments which python m runners train savedir base path to save dir exp group list baselines j 1 v results ipynb python binary which python setting j 0 will run it locally exp group list ex2 setup will run the ex2 experiments make sure that the dataset preperation is complete for oracle relabeling experiments relabel generated examples using an oracle which python m runners oracle relabel md path to oracle e fewshot baseline clinc train classifiers on the relabeled data which python m runners train savedir base path to save dir exp group list fewshot oracle clinc j 1 v results ipynb python binary which python 4 to compile results correctly set the knobs in runners compile results runners compile results py l9 l30 and then run python m runners compile results from root adding a new dataset to add a new dataset follow these steps create a utils file for your dataset under utils data utils let s call it dataset utils py all the dataset specific processing needs to be added in there in the end your dataset utils py needs to have a parse and load dataset function refer to the documentation of clinc utils parse and load clinc to understand more add your dataset to parse and load and get ds config in utils data utils main py running prepare dataset py preparing data for your dataset name now should create the required files for ex2 and non ex2 setup finally refer to this for oracle relabling experiments to also generate dataset for the oracle relabling experiments in the full few shot setup list of configs exp configs py for different experiments 1 reproducing clinc150 results python baselines hu cartesian exp group do multiple runs to account for stochasticity in metrics run list range 10 dataset name clinc oos num labels 151 oos id 150 config full config small plus full model name intent classification backbone bert large uncased exp type baseline intrinsic baseline lr 4e 5 batch size 32 epochs 6 warmup ratio 0 1 weight decay 0 01 metrics to compute metrics accuracy f1 precision recall metric best accuracy ngpu 1 eval accumulation steps 30 2 running partial few shot baseline upsample experiments python ex2 setup hu cartesian exp group do multiple runs to account for stochasticity in metrics run list range 10 dataset name clinc oos num labels 151 oos id 150 config full v for v in domains config small imbalanced plus small aug full model name intent classification backbone bert large uncased exp type baseline upsample gpt3 upsample baseline lr 5e 5 batch size 64 epochs 10 warmup ratio 0 1 weight decay 0 01 metrics to compute if oos id is not none compute inscope accuracy and oos recall as well metrics accuracy f1 precision recall metric best f1 eval accumulation steps 30 3 partial few shot augmented gpt3 experiments python ex2 setup hu cartesian exp group do multiple runs to account for stochasticity in metrics run list range 10 dataset name clinc oos num labels 151 oos id 150 config full v for v in domains config small imbalanced plus small aug full model name intent classification backbone bert large uncased exp type gpt3 gpt3 upsample baseline lr 5e 5 batch size 64 epochs 10 warmup ratio 0 1 weight decay 0 01 metrics to compute if oos id is not none compute inscope accuracy and oos recall as well metrics accuracy f1 precision recall metric best f1 gpt3 engine ada ada babbage curie davinci gpt3 engine ada babbage curie davinci ada babbage curie davinci gpt3 temp 1 0 0 5 0 6 0 7 0 8 0 9 1 0 1 5 2 0 gpt3 temp 0 5 0 6 0 7 0 8 0 9 1 0 1 5 2 0 0 5 2 0 eval accumulation steps 30 4 training the oracle python baselines hu cartesian exp group do multiple runs to account for stochasticity in metrics run list range 1 dataset name clinc oos num labels 151 oos id none config full config small plus full model name intent classification backbone bert large uncased exp type intrinsic intrinsic baseline lr 4e 5 batch size 32 epochs 6 warmup ratio 0 1 weight decay 0 01 metrics to compute metrics accuracy f1 precision recall metric best accuracy ngpu 1 eval accumulation steps 30 | ai |
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ChainKeeper | chainkeeper https cdn images 1 medium com max 1400 1 ci0ycdpka5aoefhyfpae2w jpeg chainkeeper is a web application to explore and analyze block chain data for users it is a web based application for blockchain developers who are looking to interact with blocksci to analyse the blockchain data in blockchains and also chainkeeper contains separate rest api for getting blockchain data easily n solid https cdn images 1 medium com max 1500 1 ytmicp6uu6uizpapg1lfyg png implementation details front end is developed using reactjs back end is handled by nodejs and python firebase is used for user authentication firebase is used as the databases for storing data rest api is python flask key features users can sign up or sign in to the chainkeeper can latest block data in blockchain can view block data using block height can view block data using block hash can view tx data using tx hash can get data from rest endpoints can tag transactions can connect blocksci with chainkeeper chain kleaner taint analysis platform installation sh cd chainkeeper npm install npm start blockchain apis blockchain api documentation https github com scorelab chainkeeper blob master chainkeeper api readme md | blockchain |
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Facial-Recognition-Based-Student-Attendance-System | face recognition based student attendance system in python using opencv with tkinter gui team kyzen amish thapa https github com amish git keshav raj poudel https github com keshav 46 khom raj thapa magar https khomz github io click me https khomz github io abstract face recognition based attendance system is a process of recognizing the faces of the students while taking attendance by using face bio metrics based on high definition monitor video and other information technology in this face recognition project a computer system will be able to find and recognize human faces quickly and precisely in images or videos that are being captured through a webcam a surveillance camera in our face recognition project a computer system will be able to find and recognize human faces quickly and precisely in images or videos that are being captured through a webcam surveillance camera here faces will recognized using face recognition algorithm the processed image will then be compared against the existing record and then attendance marked in the database accordingly the human face is the most distinctive feature used to uniquely identify an individual that s why it is used to trace identity as the possibilities for a face to deviate or being duplicated is low problem statement the biggest issue in former attendance management system is the accuracy of the data collected this is because the attendance might not be recorded personally by the original person in other word the attendance of a particular person can be taken by a third party without the realization of the institution which violates the accuracy of the data to do record student details in a database train photo samples of the students algorithms used haarcascade opencv face detection lbph opencv face recognition project features 1 login security system username password 2 homepage student management system train photo samples take attendance with face detection attendance report csv file sqlite database developer page team kyzen help desk exit system snapshots homepage home pitching ideas proposed proposed homepage jpg student management system student dbms images konsolesnap student dbms png training train https github com khomz face recognition based student attendance system in python using opencv with tkinter gui blob main projectimages work 20progress trainingimagessnap png raw true recoginition built with python opencv tkinter | face-recognition face-detection python opencv-python opencv khom-facial-recognition kyzen-face-recognition-with-chatbot face-recognition-tkinter-gui facial-recognition-with-chatbot | server |
ece-4180-projects | ece 4180 projects code written for hardware software projects in embedded systems design course | os |
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M2-EmbSys | m2 embsys embedded system design and simulation of circuits | os |
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stock-trading-ml | stock trading with machine learning overview a stock trading bot that uses machine learning to make price predictions requirements python 3 5 alpha vantage pandas numpy sklearn keras tensorflow matplotlib documentation blog post https yacoubahmed me blog stock prediction ml medium article https medium com towards data science getting rich quick with machine learning and stock market predictions 696802da94fe train your own model 1 clone the repo 2 pip install the requirements pip install r requirements txt 3 save the stock price history to a csv file python save data to csv py help 4 edit one of the model files to accept the symbol you want 5 edit model architecture 6 edit dataset preprocessing history points inside util py 7 train the model python tech ind model py or python basic model py 8 try the trading algorithm on the newly saved model python trading algo py license gpl 3 0 https www gnu org licenses quick guide gplv3 html | stock-trading machine-learning price-predictions neural-network deep-learning time-series lstm | ai |
software-engineer | table of contents road map https roadmap sh computer science computer science 1 operating system computer science 2 computer architecture computer architecture 3 compilation compilation 4 network network 5 data structure data structure 6 database database programming language programming language c c cc software engineering software engineering 1 coding cultivation coding cultivation 2 code review code review 3 safety precaution safety precaution 4 testing testing 5 publishing publishing system design system design linux linux 1 kernel kernel 2 memory management memory management 3 linux network linux network 4 aio aio 5 lock free lock free 6 memory order memory order 7 cpu cache cpu cache distributed architecture distributed architecture 1 distributed messages system distributed messages system 2 logs data logs data 3 distributed monitoring and tracking distributed monitoring and tracking 4 data analysis data analysis 5 distributed architecture engineering design distributed architecture engineering design 6 design pattern design pattern 7 failure testing of distributed systems failure testing of distributed systems 8 scalability scalability 9 consistent hashing consistent hashing 10 cache cache 11 message queue message queue 12 log log 13 performance performance 14 search search 15 architecture practices by companies architecture practices by companies microservice microservice 1 api gatway api gatway 2 microservice vs soa iaas paas monolithic microservice vs soa iaas paas monolithic 3 practice practice 4 authentication authorization authentication authorization 5 design pattern design pattern cloud native cloud native cloud computing cloud computing 1 io virtualization io virtualization thanks thanks computer science teach yourself computer science https teachyourselfcs com operating system x orange book computer systems a programmer s perspective pencil2 book notes https github com jemmy512 book notes blob master cs computer system a programmers perspective md orange book modern operating systems pencil2 book notes https github com jemmy512 book notes blob master cs modern operating system md orange book operating systems three easy pieces orange book operating system concepts orange book operating systems design and implementation orange book advanced programming in the unix environment x cpu registers x86 32 https www eecg utoronto ca amza www mindsec com files x86regs html x cpu registers x86 64 https wiki osdev org cpu registers x86 64 computer architecture orange book computer organization and design the hardware sofeware interface pencil2 book notes https github com jemmy512 book notes blob master cs computer organization and design md orange book computer architecture a quantitative approach orange book structure and interpretation of computer programs compilation orange book compilers principles techniques and tools x orange book programmer self cultivation linking loading and libraries cn cn pencil2 book notes https github com jemmy512 book notes blob master cs programmer self cultivation link load library md network x orange book tcp ip illustrated volume 1 the protocols pencil2 book notes https github com jemmy512 book notes blob master cs tcp ip illustrated volume 1 md orange book unix network programming volume 1 the sockets networking api pencil2 book notes unp https github com jemmy512 book notes blob master linux unp md pencil2 book notes linux programming https github com jemmy512 book notes blob master linux linux programming md orange book unix network programming volume 2 interprocess communications orange book linux system programming http igm univ mlv fr yahya progsys linux pdf orange book computer networking a top down approach orange book computer networks 5th edition orange book practical packet analysis using wireshark to solve real world network problems 2nd edition internet protocol suite wikipedia https en wikipedia org wiki internet protocol suite let s code a tcp ip stack 1 ethernet arp https www saminiir com lets code tcp ip stack 1 ethernet arp tuntap devices let s code a tcp ip stack 2 ipv4 icmpv4 https www saminiir com lets code tcp ip stack 2 ipv4 icmpv4 let s code a tcp ip stack 3 tcp basics handshake https www saminiir com lets code tcp ip stack 3 tcp handshake let s code a tcp ip stack 4 tcp data flow socket api https www saminiir com lets code tcp ip stack 4 tcp data flow socket api let s code a tcp ip stack 5 tcp retransaction https www saminiir com lets code tcp ip stack 5 tcp retransmission c10k problem http www kegel com c10k html c10m problem http highscalability com blog 2013 5 13 the secret to 10 million concurrent connections the kernel i html the secret to 10 million concurrent connections the kernel is the problem not the solution http highscalability com blog 2013 5 13 the secret to 10 million concurrent connections the kernel i html congestion avoidance and control pdf https ee lbl gov papers congavoid pdf nginx http 2 https www nginx com wp content uploads 2015 09 nginx http2 white paper v4 pdf coping with the tcp time wait state on busy linux servers https vincent bernat ch en blog 2014 tcp time wait state linux http rfc 7230 hypertext transfer protocol http 1 1 message syntax and routing rfc 7231 hypertext transfer protocol http 1 1 semantics and content rfc 7232 hypertext transfer protocol http 1 1 conditional requests rfc 7233 hypertext transfer protocol http 1 1 range requests rfc 7234 hypertext transfer protocol http 1 1 caching rfc 7235 hypertext transfer protocol http 1 1 authentication rfc 7540 hypertext transfer protocol version 2 http 2 rfc 7541 hpack header compression for http 2 tls rfc 8446 the transport layer security tls protocol version 1 3 https www rfc editor org rfc rfc8446 rfc 8449 record size limit extension for tls https www rfc editor org rfc rfc8449 quic rfc 9000 quic a udp based multiplexed and secure transport https www rfc editor org rfc rfc9000 arp rfc 826 an ethernet address resolution protocol https datatracker ietf org doc html rfc826 icmp rfc 792 inernet control message protocol https datatracker ietf org doc html rfc792 tcp rfc 793 transmission control protocol https datatracker ietf org doc html rfc793 rfc 813 window and acknowledgement strategy in tcp rfc 879 the tcp maximum segment size and related topics rfc 896 congestion control in ip tcp internetworks rfc 2581 tcp congestion control rfc 5681 tcp congestion control rfc 6582 the newreno modification to tcp s fast recovery algorithm rfc 2018 tcp selective acknowledgment options rfc 2883 an extension to the selective acknowledgement sack option for tcp rfc 2988 computing tcp s retransmission timer rfc 6298 computing tcp s retransmission timer udp rfc 768 user datagram protocol https www ietf org rfc rfc768 txt ip rfc 791 internet protocol https datatracker ietf org doc html rfc791 vxlan rfc 7348 virtual extensible local area network https datatracker ietf org doc html rfc7348 generic routing encapsulation rfc 2784 generic routing encapsulation gre https datatracker ietf org doc html rfc2784 rfc 2890 key and sequence number extensions to gre https datatracker ietf org doc html rfc2890 rfc 8086 gre in udp encapsulation https datatracker ietf org doc html rfc8086 tunnel rfc 1853 ip in ip tunneling rfc 2784 generic routing encapsulation gre rfc 2661 layer two tunneling protocol l2tp rfc 2637 point to point tunneling protocol pptp other stun traceroute https datatracker ietf org doc html draft martinsen tram stuntrace 01 implementing remote procedure calls https www cs cmu edu dga 15 712 f07 papers birrell842 pdf database orange book database system concepts fifth edition orange book high performance mysql 3rd orange book inside mysaql innodb storage engine orange book relational database index design and the optimizers mysql internals manual https dev mysql com doc internals en how to analyze and tune mysql queries for better performance https www mysql com cn why mysql presentations tune mysql queries performance mysql performance tuning 101 https www mysql com cn why mysql presentations mysql performance tuning101 mysql performance schema sys schema https www mysql com cn why mysql presentations mysql performance sys schema mysql performance demystified tuning best practices https www mysql com cn why mysql presentations mysql performance tuning best practices mysql security best practices https www mysql com cn why mysql presentations mysql performance sys schema mysql cluster deployment best practices https www mysql com cn why mysql presentations mysql performance tuning best practices mysql high availability with innodb cluster https www mysql com cn why mysql presentations mysql high availability innodb cluster data structure orange book data structures and algorithm analysis in c second edition algorithm orange book algorithms fouth edition orange book grokking algorithms an illustrated guide for programmers and other curious people orange book programming pearls 2 e orange book data structures and algorithm analysis in c second edition programming language the essence of programming niklaus emil wirth algorithms data structures programs pdf http www ethoberon ethz ch wirthpubl ad pdf robert kowalski algorithm logic control pdf https www doc ic ac uk rak papers algorithm 20 20logic 20 20control pdf c c iso iec c standards https www open std org jtc1 sc22 wg21 docs standards details summary open close summary c cheat sheets infographics https hackingcpp com cpp cheat sheets html hfold5a orange book the c programming language orange book c programming a modern approach orange book c traps and pitfalls x orange book c primer 5th edition pencil2 book notes https github com jemmy512 book notes blob master cpp cpp primer md x orange book effective c pencil2 book notes https github com jemmy512 book notes blob master cpp effective cpp md orange book more effective c pencil2 book notes https github com jemmy512 book notes blob master cpp more effective cpp md x orange book modern effective c pencil2 book notes https github com jemmy512 book notes blob master cpp effective modern cpp md x orange book inside c object model pencil2 book notes https github com jemmy512 book notes blob master cpp inside the cpp object model md x orange book c templates the complete guide pencil2 book notes https github com jemmy512 book notes blob master cpp cpp templates the complete guid md x orange book modern c design pencil2 book notes https github com jemmy512 book notes blob master cpp modern cpp design md agner fog optimizing software in c pdf https time geekbang org dashboard course software optimization resources https www agner org optimize c faq http www stroustrup com bs faq html x how c resolves a function call https preshing com 20210315 how cpp resolves a function call c language function call stack link part 1 https programmerall com article 41851468750 link part 2 https programmerall com article 6133737731 link part 3 https programmerall com article 9966767741 x how to use c for cross platform development https gusc lv 2021 03 how to use c for cross platform development x trivial abi https quuxplusone github io blog 2018 05 02 trivial abi 101 x paramter passing in c and c https wolchok org posts parameter passing x pass by value vs pass by reference https reductor dev cpp 2022 06 27 pass by value vs pass by reference html x type erasure http davekilian com cpp type erasure html x lambdas from c 11 to c 20 link part 1 https www cppstories com 2019 02 lambdas story part1 link part 2 https www cppstories com 2019 03 lambdas story part2 eli bendersky how debuggers work link part 1 https eli thegreenplace net 2011 01 23 how debuggers work part 1 link part 2 https eli thegreenplace net 2011 01 27 how debuggers work part 2 breakpoints link part 3 https eli thegreenplace net 2011 02 07 how debuggers work part 3 debugging information what every c programmer should know about undefined behavior link part 1 http blog llvm org 2011 05 what every c programmer should know html link part 2 http blog llvm org 2011 05 what every c programmer should know 14 html link part 3 http blog llvm org 2011 05 what every c programmer should know 21 html gnu compiler collection gcc internals https gcc gnu org onlinedocs gccint index html sec contents x linux x86 program start up or how do we get to main http www dbp consulting com tutorials debugging linuxprogramstartup html oop itanium c abi revision 1 75 https refspecs linuxfoundation org cxxabi 1 75 html x vtable beginner 1 interview series c object layout us en https developpaper com interview series c object layout cn cn https mp weixin qq com s biz mzkyode5nju2mw mid 2247484758 idx 1 sn 4e614430f666f63ab135c13a716d07c1 source 41 wechat redirect x vtable beginner 2 understand c vtable from assembly code link part 1 https guihao liang github io 2020 05 30 what is vtable in cpp x vtable expert 1 what does c object layout look like https nimrod blog posts what does cpp object layout look like x vtable expert 2 c virtual table tables vtt https nimrod blog posts cpp virtual table tables x coolshell c virtual function table analysis cn cn https coolshell cn articles 12165 html x inheritance without pointers https www fluentcpp com 2021 01 29 inheritance without pointers x runtime polymorphism without objects or virtual functions https www fluentcpp com 2020 05 15 runtime polymorphism without virtual functions x the cost of dynamic virtual calls vs static crtp dispatch in c https eli thegreenplace net 2013 12 05 the cost of dynamic virtual calls vs static crtp dispatch in c x the sad true about c copy elision https wolchok org posts sad truth about cxx copy elision const mutable x const correctness https arne mertz de 2016 07 const correctness x mutable https arne mertz de 2017 10 mutable x how to share code with const and non const functions in c https www cppstories com 2020 11 share code const nonconst html stl x creating stl containers in shared memory https www drdobbs com creating stl containers in shared memory 184401639 c memory model x memory layout of c objects cn cn https coolshell cn articles 12176 html x c objects memory layout cn cn https mp weixin qq com s i3mqazaycd5kjnbfywyt8g x std memory order https en cppreference com w cpp atomic memory order x c memory model https www modernescpp com index php c memory model x sequential consistency https www modernescpp com index php sequential consistency x the atomic flag https www modernescpp com index php the atomic flag x the atomic boolean https www modernescpp com index php the atomic boolean x atomics https www modernescpp com index php atomics x synchronization and ordering constraints https www modernescpp com index php synchronization and ordering constraints x sequential consistency applied https www modernescpp com index php sequential consistency applied x acquire release semantic https www modernescpp com index php acquire release semantic x transitivity of the acquire release semantic https www modernescpp com index php transivity of the acquire release semantic x memory order consume https www modernescpp com index php memory order consume x acquire release semantic the typical misunderstanding https www modernescpp com index php acquire release semantic the typical misunderstanding x fences are memory barriers https www modernescpp com index php fences as memory barriers x acquire release fences https www modernescpp com index php acquire release fences x relaxed semantic https www modernescpp com index php relaxed semantic x shared ptr thread safety https www boost org doc libs 1 80 0 libs smart ptr doc html smart ptr html shared ptr thread safety crtp x curiously recurring template pattern crtp https en wikipedia org wiki curiously recurring template pattern x the crtp episode one definition https www fluentcpp com 2017 05 12 curiously recurring template pattern x the crtp episode two what the crtp can bring to your code https www fluentcpp com 2017 05 16 what the crtp brings to code x the crtp episode three an implementation helper for the crtp https www fluentcpp com 2017 05 19 crtp helper x mixin classes the yang of the crtp https www fluentcpp com 2017 12 12 mixin classes yang crtp x how to turn a hierarchy of virtual methods into a crtp https www fluentcpp com 2018 05 22 how to transform a hierarchy of virtual methods into a crtp x replacing crtp static polymorphism with concepts https www fluentcpp com 2020 09 11 replacing crtp static polymorphism with concepts x removing duplicates in c crtp base classes https www fluentcpp com 2018 08 28 removing duplicates crtp base classes x how to reduce the code bloat of a variadic crtp https www fluentcpp com 2018 07 03 how to reduce the code bloat of a variadic crtp x variadic crtp packs from opt in skills to opt in skillsets https www fluentcpp com 2018 06 26 variadic crtp packs from opt in skills to opt in skillsets x variadic crtp an opt in for class features at compile time https www fluentcpp com 2018 06 22 variadic crtp opt in for class features at compile time template x one trick with private names and function templates https www cppstories com 2020 12 private names trick x modern c features class template argument deduction https arne mertz de 2017 06 class template argument deduction x build throughput series template metaprogramming fundamentals https devblogs microsoft com cppblog build throughput series template metaprogramming fundamentals x build throughput series more efficient template metaprogramming https devblogs microsoft com cppblog build throughput series more efficient template metaprogramming x how to pass a variadic pack as a first argument of a function https www fluentcpp com 2021 01 22 how to pass a variadic pack as a first argument of a function in cpp x dependent name inheritance and member functions of class templates http www modernescpp com index php surprise included inheritance and member functions of class templates cppcon 2019 jorg brown reducing template compilation overhead using c 11 14 17 and 20 https www youtube com watch v tyiinva1syk list plhth1inhhwt6khvviwritr7i5s09dlcsw index 11 c 11 x herb sutter move simply https herbsutter com 2020 02 17 move simply x c move semantics the complete guide http cppmove com x andreas can i touch a moved from object https andreasfertig blog 2021 04 can i touch a moved from object scott meyers universal references in c 11 https isocpp org blog 2012 11 universal references in c11 scott meyers x c proposal forwarding references https isocpp org files papers n4164 pdf c 17 x table c 17 features pdf https github com jemmy512 book notes blob master cpp table cpp17 features pdf x how std any works https www fluentcpp com 2021 02 05 how stdany works everything you need to know about std variant from c 17 https www bfilipek com 2018 06 variant html x runtime polymorphism with std variant and std visit https www bfilipek com 2020 04 variant virtual polymorphism html x visiting a std variant with the overload pattern https www modernescpp com index php visiting a std variant with the overload pattern x simplify code with if constexpr in c 17 https www bfilipek com 2018 03 ifconstexpr html x pass string view by value https quuxplusone github io blog 2021 11 09 pass string view by value c 20 x table c 20 features pdf https github com jemmy512 book notes blob master cpp table cpp20 features pdf all c 20 core language features with examples https oleksandrkvl github io 2021 04 02 cpp 20 overview html x c 20 aggregate pod trivial type standard layout class what is what https andreasfertig blog 2021 01 cpp20 aggregate pod trivial type standard layout class what is what x notes on c sfinae modern c and c 20 concepts https www cppstories com 2016 02 notes on c sfinae x std index sequence and its improvement in c 20 https www fluentcpp com 2021 03 05 stdindex sequence and its improvement in c20 x constexpr vector and string in c 20 and one big limitation https www cppstories com 2021 constexpr vecstr cpp20 raymond chen c coroutines a map through the three major coroutine series https devblogs microsoft com oldnewthing 20210504 01 p 105178 details summary open close summary awaitable objects getting started with awaitable objects https devblogs microsoft com oldnewthing 20191209 00 p 103195 constructible awaitable or function returning awaitable https devblogs microsoft com oldnewthing 20191210 00 p 103197 framework interop https devblogs microsoft com oldnewthing 20191211 00 p 103201 awaiting an iasyncaction without preserving thread context https devblogs microsoft com oldnewthing 20191212 00 p 103207 short circuiting suspension part 1 https devblogs microsoft com oldnewthing 20191213 00 p 103210 short circuiting suspension part 2 https devblogs microsoft com oldnewthing 20191216 00 p 103217 no callable await resume function found for type https devblogs microsoft com oldnewthing 20191217 00 p 103219 defining the co await operator https devblogs microsoft com oldnewthing 20191218 00 p 103221 the co await operator and the function search algorithm https devblogs microsoft com oldnewthing 20191219 00 p 103230 the problem of the synchronous apartment changing callback https devblogs microsoft com oldnewthing 20191220 00 p 103232 the problem of the dispatcherqueue task that runs too soon part1 https devblogs microsoft com oldnewthing 20191223 00 p 103255 link part 2 https devblogs microsoft com oldnewthing 20191224 00 p 103262 link part 3 https devblogs microsoft com oldnewthing 20191225 00 p 103265 link part 4 https devblogs microsoft com oldnewthing 20191226 00 p 103268 awaitable signals creating a co await awaitable signal that can be awaited multiple times link part 1 https devblogs microsoft com oldnewthing 20210301 00 p 104914 link part 2 https devblogs microsoft com oldnewthing 20210302 00 p 104918 link part 3 https devblogs microsoft com oldnewthing 20210303 00 p 104922 link part 4 https devblogs microsoft com oldnewthing 20210304 00 p 104926 link part 5 https devblogs microsoft com oldnewthing 20210305 00 p 104934 link part 6 https devblogs microsoft com oldnewthing 20210308 00 p 104938 creating other types of synchronization objects that can be used with co await 1 the one shot event https devblogs microsoft com oldnewthing 20210309 00 p 104942 2 the basic library https devblogs microsoft com oldnewthing 20210310 00 p 104945 3 parallel resumption https devblogs microsoft com oldnewthing 20210311 00 p 104949 4 the manual reset event https devblogs microsoft com oldnewthing 20210312 00 p 104955 5 the auto reset event https devblogs microsoft com oldnewthing 20210315 00 p 104964 6 the semaphore https devblogs microsoft com oldnewthing 20210316 00 p 104971 7 the mutex and recursive https devblogs microsoft com oldnewthing 20210317 00 p 104973 8 the shared mutex https devblogs microsoft com oldnewthing 20210318 00 p 104977 9 the shared mutex continued https devblogs microsoft com oldnewthing 20210319 00 p 104979 10 wait for an event to clear https devblogs microsoft com oldnewthing 20210322 00 p 104981 creating a task completion source for a c coroutine producing a result https devblogs microsoft com oldnewthing 20210323 00 p 104987 producing a result with references https devblogs microsoft com oldnewthing 20210324 00 p 104995 producing nothing https devblogs microsoft com oldnewthing 20210325 00 p 105002 failing to produce a result https devblogs microsoft com oldnewthing 20210326 00 p 105009 coroutine promises the mental model for coroutine promises https devblogs microsoft com oldnewthing 20210329 00 p 105015 basic implementation of a promise type https devblogs microsoft com oldnewthing 20210330 00 p 105019 the initial and final suspend and improving our return value method https devblogs microsoft com oldnewthing 20210331 00 p 105028 what happens if an exception occurs in my return value https devblogs microsoft com oldnewthing 20210401 00 p 105043 making the promise itself be the shared state the inspiration https devblogs microsoft com oldnewthing 20210402 00 p 105047 making the promise itself be the shared state the outline https devblogs microsoft com oldnewthing 20210405 00 p 105054 building a result holder for movable types https devblogs microsoft com oldnewthing 20210406 00 p 105057 accepting types via return void and return value https devblogs microsoft com oldnewthing 20210407 00 p 105061 awaiting the simple task https devblogs microsoft com oldnewthing 20210408 00 p 105063 managing the reference count of the coroutine state https devblogs microsoft com oldnewthing 20210409 00 p 105065 the lifetime of objects involved in the coroutine function https devblogs microsoft com oldnewthing 20210412 00 p 105078 tradeoffs of making the promise be the shared state https devblogs microsoft com oldnewthing 20210413 00 p 105093 making it impossible to co await a task twice https devblogs microsoft com oldnewthing 20210414 00 p 105095 getting rid of our mutex https devblogs microsoft com oldnewthing 20210415 00 p 105109 getting rid of our reference count https devblogs microsoft com oldnewthing 20210416 00 p 105115 allowing the awaiter to be destroyed while suspended https devblogs microsoft com oldnewthing 20210419 00 p 105119 getting rid of our atomic variant discriminator https devblogs microsoft com oldnewthing 20210420 28 p 105128 cold start coroutines https devblogs microsoft com oldnewthing 20210421 00 p 105135 improving cold start coroutines which complete synchronously https devblogs microsoft com oldnewthing 20210422 00 p 105139 associating multiple task types with the same promise type https devblogs microsoft com oldnewthing 20210423 00 p 105146 what does it mean when i declare my coroutine as noexcept https devblogs microsoft com oldnewthing 20210426 00 p 105153 how do i create a coroutine that terminates on an unhandled exception https devblogs microsoft com oldnewthing 20210427 00 p 105157 snooping in on the coroutine body https devblogs microsoft com oldnewthing 20210428 00 p 105160 adding custom resume context support to our awaiter https devblogs microsoft com oldnewthing 20210429 00 p 105165 waiting synchronously for our coroutine to complete https devblogs microsoft com oldnewthing 20210430 00 p 105171 converting among tasks that use the same promise https devblogs microsoft com oldnewthing 20210503 00 p 105173 promise constructors https devblogs microsoft com oldnewthing 20210504 00 p 105176 mix why is coroutine handle resume potentially throwing https devblogs microsoft com oldnewthing 20210505 00 p 105186 a subtle way your await suspend can access the coroutine frame when it shouldn t https devblogs microsoft com oldnewthing 20210507 00 p 105196 details asymmetric transfer c coroutines coroutine theory https lewissbaker github io 2017 09 25 coroutine theory understanding operator co await https lewissbaker github io 2017 11 17 understanding operator co await understanding the promise type https lewissbaker github io 2018 09 05 understanding the promise type understanding symmetric transfer https lewissbaker github io 2020 05 11 understanding symmetric transfer x constexpr dynamic memory allocation c 20 https www cppstories com 2021 constexpr new cpp20 c 20 dynamic allocations at compile time https andreasfertig blog 2021 08 cpp20 dynamic allocations at compile time ordering asynchronous updates with coroutines link part 1 mutual exclusion https devblogs microsoft com oldnewthing 20210906 00 p 105653 link part 2 restart with hand off https devblogs microsoft com oldnewthing 20210907 00 p 105659 link part 3 let them all compete but only one wins https devblogs microsoft com oldnewthing 20210908 00 p 105662 link part 4 bowing out explicit version https devblogs microsoft com oldnewthing 20210909 00 p 105666 link part 5 bowing out via cancellation https devblogs microsoft com oldnewthing 20210910 00 p 105669 details software engineering the key to accelerating your coding skills http blog thefirehoseproject com posts learn to code and be self reliant character encoding https en wikipedia org wiki character encoding what are some of the most basic things every programmer should know https www quora com what are some of the most basic things every programmer should know 97 things every programmer should know https 97 things every x should know gitbooks io 97 things every programmer should know content en index html how to ask question the smart way http www catb org esr faqs smart questions html coding cultivation orange book refactoring improving the design of existing code pencil2 book notes https github com jemmy512 book notes blob master se se refactoring 2 md orange book working effectively with legacy code orange book clean code a handbook of agile software craftsmanship pencil2 book notes https github com jemmy512 book notes blob master se clean code md orange book the clean coder a code of conduct for professional programmers https refactoring guru https refactoring guru code review code review best practices https medium com palantir code review best practices 19e02780015f how google does code review https dzone com articles how google does code review safety precaution https www owasp org index php main page secure coding practice guidelines https security berkeley edu secure coding practice guidelines sei sert coding standards https wiki sei cmu edu confluence display seccode sei cert coding standards hardening your http security headers https www keycdn com blog http security headers testing orange book perfect software and other illusions about testing orange book how google tests software publishing x checklist https github com mtdvio going to production system design orange book domain driven design tackling complexity in the heart of software orange book the art of unix programming orange book clean architecture donnemartin system design primer https github com donnemartin system design primer x grokking system design https www educative io courses grokking the system design interview pencil2 book notes https github com jemmy512 book notes blob master arch object oriented design md grokking advanced system design https www educative io courses grokking adv system design intvw pencil2 book notes https github com jemmy512 book notes blob master arch system design advanced md x grokking the object oriented design https www educative io courses grokking the object oriented design interview pencil2 book notes https github com jemmy512 book notes blob master arch object oriented design md six programming paradigm https www ybrikman com writing 2014 04 09 six programming paradigms that will programming paradigms for dummies pdf https www info ucl ac be pvr vanroychapter pdf stanford programming paradigm https see stanford edu course cs107 the twelve factor app https 12factor net avoid over engineering https medium com rdsubhas 10 modern software engineering mistakes bc67fbef4fc8 best practices for designing a pragmatic restful api https www vinaysahni com best practices for a pragmatic restful api http api desgin https github com interagent http api design api guildlines https github com microsoft api guidelines blob vnext guidelines md the problem with logging https blog codinghorror com the problem with logging the onion architecture link part 1 https jeffreypalermo com 2008 07 the onion architecture part 1 link part 2 http jeffreypalermo com blog the onion architecture part 2 link part 3 http jeffreypalermo com blog the onion architecture part 3 link part 4 http jeffreypalermo com blog onion architecture part 4 after four years wikipedia programming paradigm https en wikipedia org wiki programming paradigm wikipedia software design pattern https en wikipedia org wiki software design pattern creational patterns linux red hat enterprise linux https access redhat com documentation en us red hat enterprise linux 7 x86 tso a rigorous and usable programmer s model for x86 multiprocessors https www cl cam ac uk pes20 weakmemory cacm pdf x spurious wakeup https en wikipedia org wiki spurious wakeup link c condition variable https www modernescpp com index php c core guidelines be aware of the traps of condition variables lwn netnews kernel index https lwn net kernel index kernel x pencil2 linux kernel 4 19 https github com jemmy512 book notes blob master linux linux kernel md x pencil2 understanding linux kernel https github com jemmy512 book notes blob master linux understanding linux kernel md x pencil2 linux kernel development https github com jemmy512 book notes blob master linux linux kernel development md x what is rcu read copy update https www kernel org doc html latest rcu whatisrcu html x linux insides https github com 0xax linux insides x lwn s kernel page https lwn net kernel index x learn linux kernel from android perspective https learnlinuxconcepts blogspot com 2014 10 this blog is to help those students and html x linux kernel doc https www kernel org doc x kernel planet kernel developers doc https planet kernel org x linux performance and tuning guidelines pdf https lenovopress com redp4285 pdf x linux performance http www brendangregg com linuxperf html x optimizing web servers for high throughput and low latency https dropbox tech infrastructure optimizing web servers for high throughput and low latency memory management what every programmer should know about memory pdf https people freebsd org lstewart articles cpumemory pdf memory barriers a hardware view for software hackers pdf https irl cs ucla edu yingdi web paperreadingwhymb 2010 06 07c pdf a tutorial introduction to the arm and power relaxed memory models pdf https www cl cam ac uk pes20 ppc supplemental test7 pdf understanding glibc malloc https sploitfun wordpress com 2015 02 10 understanding glibc malloc comment page 1 blogsub confirming subscribe blog e3 80 82 x ptmalloc http www malloc de en x tcmalloc https github com google tcmalloc link ref https wallenwang com 2018 11 tcmalloc link ref https www programmersought com article 84461226079 x jemalloc pdf http people freebsd org jasone jemalloc bsdcan2006 jemalloc pdf x c dynamic memory allocation https en wikipedia org wiki c dynamic memory allocation x research on ptmalloc tcmalloc and jemalloc memory allocation strategies cn cn https owent net 2013 867 html x memory optimization summary ptmalloc tcmalloc and jemalloc http www cnhalo net 2016 06 13 memory optimize x scalable memory allocation using jemalloc https www facebook com notes facebook engineering scalable memory allocation using jemalloc 480222803919 linux kernel vs memory fragmentation part i http highscalability com blog 2021 6 8 linux kernel vs memory fragmentation part i html linux network orange book linux high performance server programming cn cn https book douban com subject 24722611 pencil2 linux programmnig noetes https github com jemmy512 book notes blob master linux linux programming md pencil2 linux system notes https github com jemmy512 book notes blob master linux linuxbasic md orange book network tuning linux advanced routing traffic control howto https lartc org red hat enterprise linux network performance tuning guide pdf https access redhat com sites default files attachments 20150325 network performance tuning pdf awesome pcap tools https github com caesar0301 awesome pcaptools making linux tcp fast pdf https netdevconf info 1 2 papers bbr netdev 1 2 new new pdf monitoring and tuning the linux networking stack receiving data https blog packagecloud io eng 2016 06 22 monitoring tuning linux networking stack receiving data monitoring and tuning the linux networking stack sending data https blog packagecloud io eng 2017 02 06 monitoring tuning linux networking stack sending data the bsd packet filter a new architecture for user level packet capture pdf https www tcpdump org papers bpf usenix93 pdf aio x boost application performance using asynchronous i o https developer ibm com articles l async lazy asynchronous i o for event driven servers https www usenix org legacy event usenix04 tech general full papers elmeleegy elmeleegy html html html iocp http sysinternals d4rk4 ru information iocompletionports html reactor an object behavioral pattern for demultiplexing and dispatching handles for synchronous events pdf http www dre vanderbilt edu schmidt pdf reactor siemens pdf x understanding reactor pattern thread based and event driven https dzone com articles understanding reactor pattern thread based and eve the design and implementation of the reactor pdf https www dre vanderbilt edu schmidt pdf reactor2 93 pdf the secret to 10 million concurrent connections the kernel is the problem not the solution http highscalability com blog 2013 5 13 the secret to 10 million concurrent connections the kernel i html x epoll is fundamentally broken link 1 https idea popcount org 2017 02 20 epoll is fundamentally broken 12 link 2 https idea popcount org 2017 03 20 epoll is fundamentally broken 22 the implementation of epoll link 1 https idndx com the implementation of epoll 1 link 2 https idndx com the implementation of epoll 2 link 3 https idndx com the implementation of epoll 3 link 4 https idndx com the implementation of epoll 4 lock free x an introduction to lock free programming https preshing com 20120612 an introduction to lock free programming lock free data structures https www drdobbs com lock free data structures 184401865 lock free data structures pdf https erdani com publications cuj 2004 10 pdf is parallel programming hard and if so what can you do about it https mirrors edge kernel org pub linux kernel people paulmck perfbook perfbook html non blocking algorithm https en wikipedia org wiki non blocking algorithm read copy update https en wikipedia org wiki read copy update seqlock https en wikipedia org wiki seqlock implementing lock free queues http citeseerx ist psu edu viewdoc download doi 10 1 1 53 8674 rep rep1 type pdf simple fast and practical non blocking and blocking concurrent queue algorithms pdf https www cs rochester edu scott papers 1996 podc queues pdf implementing a recursive mutex https preshing com 20120305 implementing a recursive mutex memory order x weak vs strong memory models https preshing com 20120930 weak vs strong memory models x this is why they call it a weakly ordered cpu https preshing com 20121019 this is why they call it a weakly ordered cpu x memory barriers are like source control operations https preshing com 20120710 memory barriers are like source control operations x acquire and release semantics https preshing com 20120913 acquire and release semantics x memory ordering at compile time https preshing com 20120625 memory ordering at compile time x the happens before relation https preshing com 20130702 the happens before relation x the synchronizes with relation https preshing com 20130823 the synchronizes with relation x acquire and release fences don t work the way you d expect https preshing com 20131125 acquire and release fences dont work the way youd expect x acquire and release fences https preshing com 20130922 acquire and release fences x roll your own lightweight mutex https preshing com 20120226 roll your own lightweight mutex x can reordering of release acquire operations introduce deadlock https preshing com 20170612 can reordering of release acquire operations introduce deadlock x you can do any kind of atomic read modify write operation https preshing com 20150402 you can do any kind of atomic read modify write operation x the purpose of memory order consume in c 11 https preshing com 20140709 the purpose of memory order consume in cpp11 x atomic vs non atomic operations https preshing com 20130618 atomic vs non atomic operations x memory reordering caught in the act https preshing com 20120515 memory reordering caught in the act cpu cache x gallery of processor cache effects http igoro com archive 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books ds3 orange book distributed systems for fun and profit http book mixu net distsys single page html orange book designing data intensive applications orange book distributed systems principles and paradigms pdf http barbie uta edu jli resources mapreduce hadoop distributed 20systems 20principles 20and 20paradigms pdf orange book designing distributed systems patterns and paradigms for scalable reliable services https azure microsoft com en us resources designing distributed systems pencil2 book notes https github com jemmy512 book notes blob master arch designing distributed systems md orange book principles of distributed systems pdf https disco ethz ch courses podc allstars lecture podc pdf newspaper transaction across datacenter https snarfed org transactions across datacenters io html tv youtube https www youtube com watch v srogpxecblk scalable web architecture and distributed systems http www aosabook org en distsys html scalability availability stability patterns https www slideshare net jboner scalability availability stability patterns system design primer https github com donnemartin system design primer an introduction to distributed systems https github com aphyr distsys class byzantine fault https en wikipedia org wiki byzantine fault pdf https www microsoft com en us research uploads prod 2016 12 the byzantine generals problem pdf the byzantine generals problem https www drdobbs com cpp the byzantine generals problem 206904396 practical byzantine fault tolerance pdf http pmg csail mit edu papers osdi99 pdf cap theorem https en wikipedia org wiki cap theorem a brief tour of flp impossibility https www the paper trail org post 2008 08 13 a brief tour of flp impossibility dls pdf http groups csail mit edu tds papers lynch jacm88 pdf introduction to distributed system priciples cn cn http guanzhou pub 2018 06 04 distributed cap twelve years later how the rules have changed https www infoq com articles cap twelve years later how the rules have changed 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the log structured merge tree lsm tree pdf https www cs umb edu poneil lsmtree pdf immutability changes everything pdf http cidrdb org cidr2015 papers cidr15 paper16 pdf video https vimeo com 52831373 tango distributed data structures over a shared log pdf https www microsoft com en us research wp content uploads 2013 11 tango pdf distributed monitoring and tracking dapper a large scale distributed systems tracing infrastructure pdf http static googleusercontent com media research google com en pubs archive 36356 pdf data analysis the unified logging infrastructure for data analytics at twitter pdf http vldb org pvldb vol5 p1771 georgelee vldb2012 pdf scaling big data mining infrastructure the twitter experience pdf http www datascienceassn org sites default files scaling 20big 20data 20mining 20infrastructure 20 20the 20twitter 20experience pdf dremel interactive analysis of web scale datasets pdfd http static googleusercontent com media research google com en us pubs archive 36632 pdf resilient distributed datasets a fault tolerant abstraction for in memory cluster computing pdf https www usenix org system files conference nsdi12 nsdi12 final138 pdf distributed programming model pdf https web cs ucdavis edu pandey research papers icdcs01 pdf psync a partially synchronous language for fault tolerant distributed algorithms pdf https www di ens fr cezarad popl16 pdf logic and lattices for distributed programming pdf https dsf berkeley edu papers ucb lattice tr pdf services engineering reading list https github com mmcgrana services engineering readings in distributed systems http christophermeiklejohn com distributed systems 2013 07 12 readings in distributed systems html google research distributed systems and parallel computing https research google pubs distributed architecture engineering design designs lessons and advice from building large distributed systems pdf https www cs cornell edu projects ladis2009 talks dean keynote ladis2009 pdf building software systems at google and lessons learned https www youtube com watch v modxc5iwtji the twelve factor app https 12factor net notes on distributed systems for young bloods https www somethingsimilar com 2013 01 14 notes on distributed systems for young bloods on designing and deploying internet scale services https www usenix org legacy event lisa07 tech full papers hamilton hamilton html index html 4 things to keep in mind when building a platform for the enterprise https blog box com blog 4 things to keep in mind when building a platform for the enterprise principles of chaos engineering https www usenix org conference srecon17americas program presentation rosenthal building fast resilient web applications https www igvita com 2016 05 20 building fast and resilient web applications designing for resiliency will be so 2013 http highscalability com blog 2012 12 31 designing for resiliency will be so 2013 html ten design principles for azure applications https docs microsoft com en us azure architecture guide design principles eventually consistent https www allthingsdistributed com 2008 12 eventually consistent html writing code that scales https www codeproject com articles 151520 write scalable code automate and abstract lessons from facebook on engineering for scale https architecht io lessons from facebook on engineering for scale f5716f0afc7a design pattern martin fowler patterns of distributed systems https martinfowler com articles patterns of distributed systems details summary open close summary clock bound wait https martinfowler com articles patterns of distributed systems clock bound html consistent core https martinfowler com articles patterns of distributed systems consistent core html emergent leader https martinfowler com articles patterns of distributed systems emergent leader html fixed partitions https martinfowler com articles patterns of distributed systems fixed partitions html follower reads https martinfowler com articles patterns of distributed 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reply https docs microsoft com en us azure architecture patterns async request reply data management cache aside https docs microsoft com en us azure architecture patterns cache aside x command and query responsibility segregation cqrs https docs microsoft com en us azure architecture patterns cqrs event sourcing https docs microsoft com en us azure architecture patterns event sourcing index table https docs microsoft com en us azure architecture patterns index table materialized view https docs microsoft com en us azure architecture patterns materialized view sharding https docs microsoft com en us azure architecture patterns sharding x static content hosting https docs microsoft com en us azure architecture patterns static content hosting valet key https docs microsoft com en us azure architecture patterns valet key saga https docs microsoft com en us azure architecture reference architectures saga saga performance and scalability x cache aside https docs microsoft com en us azure 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microsoft com en us azure architecture patterns static content hosting x throttling https docs microsoft com en us azure architecture patterns throttling availability deployment stamps https docs microsoft com en us azure architecture patterns deployment stamp geodes https docs microsoft com en us azure architecture patterns geodes health endpoint monitoring https docs microsoft com en us azure architecture patterns health endpoint monitoring queue based load leveling https docs microsoft com en us azure architecture patterns queue based load leveling throttling https docs microsoft com en us azure architecture patterns throttling resiliency bulkhead https docs microsoft com en us azure architecture patterns bulkhead circuit breaker https docs microsoft com en us azure architecture patterns circuit breaker compensating transaction https docs microsoft com en us azure architecture patterns compensating transaction x health endpoint monitoring https docs microsoft com en us azure architecture patterns health endpoint monitoring x leader election https docs microsoft com en us azure architecture patterns leader election x queue based load leveling https docs microsoft com en us azure architecture patterns queue based load leveling retry https docs microsoft com en us azure architecture patterns retry scheduler agent supervisor https docs microsoft com en us azure architecture patterns scheduler agent supervisor security federated identity https docs microsoft com en us azure architecture patterns federated identity gatekeeper https docs microsoft com en us azure architecture patterns gatekeeper x valet key https docs microsoft com en us azure architecture patterns valet key details aws cloud pattern http en clouddesignpattern org index php main page google design patterns for container based distributed systems pdf https static googleusercontent com media research google com en pubs archive 45406 pdf a pattern language for microservices https microservices io patterns index html soa patterns https patterns arcitura com soa patterns failure testing of distributed systems scalability 4 architecture issues when scaling web applications bottlenecks database cpu io http highscalability com blog 2014 5 12 4 architecture issues when scaling web applications bottlene html scaling stateful objects http ithare com scaling stateful objects scale up vs scale out hidden costs https blog codinghorror com scaling up vs scaling out hidden costs best practices for scaling out https www infoq cn article hixg6wrdjvne0vnuwzpg scalability worst practices https www infoq com articles scalability worst practices reddit lessons learned from mistakes made scaling to 1 billion pageviews a month http highscalability com blog 2013 8 26 reddit lessons learned from mistakes made scaling to 1 billi html autoscaling pinterest https medium com pinterest engineering auto scaling pinterest df1d2beb4d64 square autoscaling based on request queuing https medium com square corner blog autoscaling based on request queuing c4c0f57f860f paypal autoscaling applications https medium com paypal engineering autoscaling applications paypal fb5bb9fdb821 trivago your definite guide for autoscaling jenkins http tech trivago com 2017 02 17 your definite guide for autoscaling jenkins scryer netflix s predictive auto scaling engine https netflixtechblog com scryer netflixs predictive auto scaling engine a3f8fc922270 consistent hashing consistent hashing http tom e white com 2007 11 consistent hashing html consistent hashing algorithmic tradeoffs https medium com dgryski consistent hashing algorithmic tradeoffs ef6b8e2fcae8 distributing content to open connect https medium com netflix techblog distributing content to open connect 3e3e391d4dc9 consistent hashing in cassandra https blog imaginea com consistent hashing in cassandra distributed database life beyond distributed transactions https queue acm org detail cfm id 3025012 how sharding works https medium com jeeyoungk how sharding works b4dec46b3f6 why you don t want to shard https www percona com blog 2009 08 06 why you dont want to shard how to scale big data applications pdf https www percona com sites default files presentations how 20to 20scale 20big 20data 20applications pdf mysql sharding with proxysql https www percona com blog 2016 08 30 mysql sharding with proxysql cache cache update routine cn cn https coolshell cn articles 17416 html design of a modern cache http highscalability com blog 2016 1 25 design of a modern cache html netflix caching for a global netflix https netflixtechblog com caching for a global netflix 7bcc457012f1 facebook an analysis of facebook photo caching https engineering fb com 2014 02 20 web an analysis of facebook photo caching how trivago reduced memcached memory usage by 50 https tech trivago com 2017 12 19 how trivago reduced memcached memory usage by 50 caching internal service calls at yelp https engineeringblog yelp com 2018 03 caching internal service calls at yelp html message queue understanding when to use rabbitmq or apache kafka https tanzu vmware com developer blog understanding the differences between rabbitmq vs kafka trello why we chose kafka for the trello socket architecture https tech trello com why we chose kafka linkedin running kafka at scale https engineering linkedin com kafka running kafka scale should you put several event types in the same kafka topic https www confluent io blog put several event types kafka topic billions of messages a day yelp s real time data pipeline https engineeringblog yelp com 2016 07 billions of messages a day yelps real time data pipeline html uber building reliable reprocessing and dead letter queues with kafka https eng uber com reliable reprocessing uber introducing chaperone how uber engineering audits kafka end to end https eng uber com chaperone audit kafka messages uber uber s real time push platform https eng uber com real time push platform publishing with apache kafka at the new york times https open nytimes com publishing with apache kafka at the new york times 7f0e3b7d2077 kafka streams on heroku https blog heroku com kafka streams on heroku salesforce how apache kafka inspired our platform events architecture https engineering salesforce com how apache kafka inspired our platform events architecture 2f351fe4cf63 exactly once semantics are possible here s how kafka does it https www confluent io blog exactly once semantics are possible heres how apache kafka does it delivering billions of messages exactly once https segment com blog exactly once delivery benchmarking streaming computation engines at yahoo https yahooeng tumblr com post 135321837876 benchmarking streaming computation engines at log using logs to build a solid data infrastructure martin kleppmann https www confluent io blog using logs to build a solid data infrastructure or why dual writes are a bad idea building distributedlog high performance replicated log service https blog twitter com engineering en us topics infrastructure 2015 building distributedlog twitter s high performance replicated log servic html logdevice a distributed data store for logs https engineering fb com 2017 08 31 core data logdevice a distributed data store for logs performance understand latency http highscalability com latency everywhere and it costs you sales how crush it common bottlenecks http highscalability com blog 2012 5 16 big list of 20 common bottlenecks html performance is a feature https blog codinghorror com performance is a feature make performance part of your workflow https codeascraft com 2014 12 11 make performance part of your workflow orange book designing for performance https learning oreilly com library view designing for performance 9781491903704 cloudflare how we built rate limiting capable of scaling to millions of domains https blog cloudflare com counting things a lot of different things search instagram search architecture https instagram engineering com search architecture eeb34a936d3a ebay the architecture of ebay search pdf http www cs otago ac nz homepages andrew papers 2017 8 pdf ebay improving search engine efficiency by over 25 https tech ebayinc com research making e commerce search faster linkedin introducing linkedin s new search architecture https engineering linkedin com search did you mean galene linkedin search federation architecture at linkedin https engineering linkedin com blog 2018 03 search federation architecture at linkedin slack search at slack https slack engineering search at slack doordash search and recommendations at doordash https medium com doordash powering search recommendations at doordash 8310c5cfd88c twitter building a complete tweet index https blog twitter com engineering en us a 2014 building a complete tweet index html pinterest manas high performing customized search system https medium com pinterest engineering manas a high performing customized search system cf189f6ca40f sherlock near real time search indexing at flipkart https tech flipkart com sherlock near real time search indexing 95519783859d airbnb nebula storage platform to build search backends https medium com airbnb engineering nebula as a storage platform to build airbnbs search backends ecc577b05f06 architecture practices by companies youtube architecture http highscalability com youtube architecture scaling pinterest http highscalability com blog 2013 4 15 scaling pinterest from 0 to 10s of billions of page views a html google architecture http highscalability com google architecture scaling twitter http highscalability com scaling twitter making twitter 10000 percent faster the whatsapp architecture http highscalability com blog 2014 2 26 the whatsapp architecture facebook bought for 19 billion html flickr architecture http highscalability com flickr architecture amazon architecture http highscalability com amazon architecture stack overflow architecture http highscalability com blog 2009 8 5 stack overflow architecture html pinterest architecture http highscalability com blog 2012 5 21 pinterest architecture update 18 million visitors 10x growth html tumblr architecture http highscalability com blog 2012 2 13 tumblr architecture 15 billion page views a month and harder html instagram architecture http highscalability com blog 2011 12 6 instagram architecture 14 million users terabytes of photos html tripadvisor architecture http highscalability com blog 2011 6 27 tripadvisor architecture 40m visitors 200m dynamic page view html scaling mailbox http highscalability com blog 2013 6 18 scaling mailbox from 0 to one million users in 6 weeks and 1 html salesforce architecture http highscalability com blog 2013 9 23 salesforce architecture how they handle 13 billion transacti html espn s architecture at scale operating at 100 000 duh nuh nuhs per second http highscalability com blog 2013 11 4 espns architecture at scale operating at 100000 duh nuh nuhs html uber architecture http highscalability com blog 2013 9 23 salesforce architecture how they handle 13 billion transacti html dropbox design https www youtube com watch v pe4gwstwhmc splunk architecture https www splunk com en us software splunk enterprise html microservice martin fowler microservices guide https martinfowler com microservices martin fowler microservice architecture https martinfowler com articles microservices html aws what are microservices https aws amazon com microservices microsoft microservices architecture style https docs microsoft com en us azure architecture guide architecture styles microservices pivotal microservices https tanzu vmware com microservices uber introducing domain oriented microservice architecture https eng uber com microservice architecture uber designing edge gateway uber s api lifecycle management platform https eng uber com gatewayuberapi microservice architecture https microservices io https microservices io orange book ibm microservices best practices for java pdf https www redbooks ibm com redbooks pdfs sg248357 pdf orange book building microservice https www amazon com building microservices designing fine grained systems dp 1491950358 ref sr 1 2 crid lwhll3p5pit6 dchild 1 keywords building microservices qid 1610330674 sprefix building micros 2caps 2c390 sr 8 2 google api improvement proposals https google aip dev nginx x introduction to microservices https www nginx com blog introduction to microservices x building microservices using an api gateway https www nginx com blog building microservices using an api gateway building microservices inter process communication in a microservices architecture https www nginx com blog building microservices using an api gateway service discovery in a microservices architecture https www nginx com blog building microservices using an api gateway event driven data management for microservices https www nginx com blog event driven data management microservices choosing a microservices deployment strategy https www nginx com blog deploying microservices refactoring a monolith into microservices https www nginx com blog refactoring a monolith into microservices auto0 blog an introduction to microservices part 1 https auth0 com blog an introduction to microservices part 1 api gateway an introduction to microservices part 2 https auth0 com blog an introduction to microservices part 2 api gateway an introduction to microservices part 3 the service registry https auth0 com blog an introduction to microservices part 3 the service registry intro to microservices part 4 dependencies and data sharing https auth0 com blog apigateway microservices superglue api gateway the microservices superglue https auth0 com blog apigateway microservices superglue api gatway kubernetes api gateway https k8s it medium com kubernetes api gateway cac310589f4d uber designing edge gateway uber s api lifecycle management platform https eng uber com gatewayuberapi uber the architecture of api gateway https eng uber com architecture api gateway uber scaling of uber s api gateway https eng uber com scaling api gateway microservice vs soa iaas paas monolithic orange book microservices vs service oriented architecture https www nginx com resources library microservices vs soa dzone microservices vs soa https dzone com articles microservices vs soa 2 dzone microservices vs soa is there any difference at all https dzone com articles microservices vs soa is there any difference at al microservices soa and apis friends or enemies https www ibm com cloud learn microservices paas vs iaas for microservices architectures top 6 differences https www altoros com blog paas vs iaas for microservices architectures top 6 differences microservices vs monolithic architectures pros cons and how cloud foundry paas can help https www slideshare net altoros microservices vs monolithic architectures pros and cons microservices not a free lunch http highscalability com blog 2014 4 8 microservices not a free lunch html the hidden costs of microservices https www stackbuilders com news the hidden costs of microservices practice mircroservcie with spring boot part 1 getting started with microservices architecture http www springboottutorial com creating microservices with spring boot part 1 getting started part 2 creating forex microservice http www springboottutorial com creating microservices with spring boot part 2 forex microservice part 3 creating currency conversion microservice http www springboottutorial com creating microservices with spring boot part 3 currency conversion microservice part 4 using ribbon for load balancing http www springboottutorial com microservices with spring boot part 4 ribbon for load balancing part 5 using eureka naming server http www springboottutorial com microservices with spring boot part 5 eureka naming server the hidden costs of microservices https www stackbuilders com news the hidden costs of microservices microservice antipatterns and pitfalls https www oreilly com content microservices antipatterns and pitfalls microservice architecture all the best practices you need to kno https codingsans com blog microservice architecture best practices best practices for building a microservice architecture https www vinaysahni com best practices for building a microservice architecture simplicity by distributing complexity https engineering zalando com posts 2018 01 simplicity by distributing complexity html effective microservices 10 best practices https towardsdatascience com effective microservices 10 best practices c6e4ba0c6ee2 authentication authorization forgerock identity gateway https backstage forgerock com docs ig 7 gateway guide index html preface forgerock token validation microservice https backstage forgerock com docs tvm 1 user guide bringing token state consistency to the edge https charan mann medium com bringing token state consistency to the edge eeaffc911b08 design pattern microservice architecture and its 10 most important design patterns https towardsdatascience com microservice architecture and its 10 most important design patterns 824952d7fa41 database per microservice event sourcing cqrs saga bff api gateway strangler circuit breaker externalize configuration consumer driven contract testing modularity and information hiding pdf https www win tue nl wstomv edu 2ip30 references criteria for modularization pdf separation of concern https www cs utexas edu users ewd transcriptions ewd04xx ewd447 html service oriented architecture https en wikipedia org wiki service oriented architecture cloud native architecting cloud native net applications for azure https docs microsoft com en us dotnet architecture cloud native cloud computing io virtualization x introducing virtio networking combining virtualization and networking for modern it https www redhat com en blog introducing virtio networking combining virtualization and networking modern it x introduction to virtio networking and vhost net https www redhat com en blog introduction virtio networking and vhost net deep dive into virtio networking and vhost net https www redhat com en blog deep dive virtio networking and vhost net hands on vhost net do or do not there is no try https www redhat com en blog hands vhost net do or do not there no try a journey to the vhost users realm https www redhat com en blog journey vhost users realm how vhost user came into being virtio networking and dpdk https www redhat com en blog how vhost user came being virtio networking and dpdk hands on vhost user a warm welcome to dpdk https www redhat com en blog hands vhost user warm welcome dpdk virtqueues and virtio ring how the data travels https www redhat com en blog virtqueues and virtio ring how data travels packed virtqueue how to reduce overhead with virtio https www redhat com en blog packed virtqueue how reduce overhead virtio x achieving network wirespeed in an open standard manner introducing vdpa https www redhat com en blog achieving network wirespeed open standard manner introducing vdpa how deep does the vdpa rabbit hole go https www redhat com en blog how deep does vdpa rabbit hole go x introduction to vdpa kernel framework https www redhat com en blog introduction vdpa kernel framework vdpa kernel framework part 1 vdpa bus for abstracting hardware https www redhat com en blog vdpa kernel framework part 1 vdpa bus abstracting hardware vdpa kernel framework part 2 vdpa bus drivers for kernel subsystem interactions https www redhat com en blog vdpa kernel framework part 2 vdpa bus drivers kernel subsystem interactions https www redhat com en blog hyperscale virtiovdpa introduction one control plane rule them all https www redhat com en blog hyperscale virtiovdpa introduction one control plane rule them all hardening virtio for emerging security usecases https www redhat com en blog hardening virtio emerging security usecases edge computing what is edge computing https www redhat com en topics edge computing what is edge computing red hat s edge computing approach https www redhat com en topics edge computing approach the latest news and announcements on edge computing https www redhat com en blog red hat edge stories evaluate your edge capabilities https www redhat com en about contact edge offering thanks this roadmap is highly inspired by course https time geekbang org column intro 48 thanks hao chen https github com haoel | cs algorith leetcode oop datastru stl design | os |
moko-units | moko units img logo png github license https img shields io badge license apache 20license 202 0 blue svg style flat http www apache org licenses license 2 0 download https img shields io maven central v dev icerock moko units https repo1 maven org maven2 dev icerock moko units kotlin version https kotlin version aws icerock dev kotlin version group dev icerock moko name units mobile kotlin units this is a kotlin multiplatform library that provides recyclerview uitableview uicollectionview filling from common code table of contents features features requirements requirements installation installation usage usage samples samples set up locally set up locally contributing contributing license license features control ui lists from common code content for recyclerview uitableview uicollectionview creating from common kotlin code requirements gradle version 6 8 android api 16 ios version 11 0 installation root build gradle groovy buildscript repositories gradlepluginportal dependencies classpath dev icerock moko units generator 0 8 0 allprojects repositories mavencentral project build gradle groovy dependencies commonmainapi dev icerock moko units 0 8 0 commonmainimplementation dev icerock moko units basic 0 8 0 commontestimplementation dev icerock moko units test 0 8 0 on ios in addition to the kotlin library add pod in the podfile ruby pod multiplatformlibraryunits git https github com icerockdev moko units git tag release 0 8 0 multiplatformlibraryunits cocoapod requires that the framework compiled from kotlin be named multiplatformlibrary and be connected as a cocoapod multiplatformlibrary here sample ios app podfile s an example to simplify integration with multiplatformframework you can use mobile multiplatform plugin https github com icerockdev mobile multiplatform gradle plugin multiplatformlibraryunits cocoapod contains an swift additions for unitdatasource s of uitableview uicollectionview in android build gradle databinding usage apply plugin dev icerock mobile multiplatform units dependencies implementation dev icerock moko units databinding 0 8 0 multiplatformunits classespackage org example library units databindingpackage org example library layoutssourceset main viewbinding usage dependencies implementation dev icerock moko units viewbinding 0 8 0 usage common kotlin interface unitfactory fun createheader text string tableunititem fun createprofiletile profileid long avatarurl string username string tableunititem class viewmodel unitfactory unitfactory val items listof unitfactory createheader programmers unitfactory createprofiletile 1 url mikhailov unitfactory createprofiletile 2 url babenko unitfactory createprofiletile 3 url tchernov unitfactory createheader designers unitfactory createprofiletile 4 url eugeny android with databinding using module units databinding xml androidx recyclerview widget recyclerview android layout width match parent android layout height match parent app bindvalue viewmodel items app adapter dev icerock moko units adapter unitsrecyclerviewadapter app layoutmanager androidx recyclerview widget linearlayoutmanager kotlin object unitfactoryimpl unitfactory fun createheader text string tableunititem return layoutheader settext text setitemid text hashcode fun createprofiletile profileid long avatarurl string username string tableunititem return layoutprofiletile setavatarurl avatarurl setusername username setitemid profileid kotlin mbinding viewmodel viewmodel unitfactoryimpl android with viewbinding using module units viewbinding xml linearlayout xmlns android http schemas android com apk res android android layout width match parent android layout height wrap content android orientation vertical textview android id id unit blue divider textview android layout width match parent android layout height wrap content android background 2196f3 linearlayout for every unit layout xml should create class using viewbinding generated class unitlayoutbinding kotlin class unitbluedivider override val itemid long vbtableunititem unitbluedividerbinding override val layoutid int r layout unit blue divider override fun bindview view view unitbluedividerbinding return unitbluedividerbinding bind view override fun unitbluedividerbinding binddata context context lifecycleowner lifecycleowner viewholder vbviewholder unitbluedividerbinding this unitbluedividertextview setbackgroundcolor color parsecolor 2196f3 override fun createbluedividerunit id long tableunititem return unitbluedivider itemid id on android you can use units with viewbinding or with databinding just plug in the corresponding module units viewbinding or units databinding ios swift class unitfactoryimpl nsobject unitfactory func createheader text string tableunititem let data headertableviewcell cellmodel text text return uitableviewcellunit headertableviewcell data data itemid text hashcode configurator nil func createprofiletile profileid long avatarurl string username string tableunititem let data profiletableviewcell cellmodel avatarurl avatarurl username username return uitableviewcellunit profiletableviewcell data data itemid profileid configurator nil swift let viewmodel viewmodel unitfactory unitfactoryimpl let tabledatasource tableunitssourcekt default for tableview tabledatasource units viewmodel items tableview reloadtable different unit s ui in dropdown list with units viewbinding if you want to use units in dropdown list you should implement dropdownunititem abstract class vbdropdownunititem already implement it so you can use it if you want the units ui will be different when dropdown list is close or open you need to implement another interface tableunititem which already implemented in vbtableunititem the sample you can see here https github com icerockdev moko units tree master sample android viewbinding src main java com icerockdev unitsimpledropdown kt different unit s ui in dropdown list with units databinding only what you need to make different ui to units in closed and open dropdown list with databinding is an another layout with dropdown postfix sample unit xml for sample unit sample unit dropdown xml for dropdown unit samples please see more examples in the sample directory sample set up locally the units directory units contains the units library the gradle plugin directory gradle plugin contains a gradle plugin with a mr class generator the sample directory sample contains sample apps for android and ios plus the mpp library connected to the apps contributing all development both new features and bug fixes is performed in the develop branch this way master always contains the sources of the most recently released version please send prs with bug fixes to the develop branch documentation fixes in the markdown files are an exception to this rule they are updated directly in master the develop branch is pushed to master on release for more details on contributing please see the contributing guide contributing md license copyright 2019 icerock mag inc 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 | android ios kotlin kotlin-multiplatform kotlin-native cocoapod recyclerview uitableview uicollectionview moko | front_end |
ActorCloud | actorcloud introduction actorcloud is an iot platform that provides one stop platform services for enterprises with low power iot networks it provides multiple protocol access message flow management data parsing and data processing capabilities for devices on a secure and reliable basis the platform provides basic device management functions to connect and manage massive devices realize message communication and data collection persistence of devices integrate rule engine and data visualization management flexibly open multiple privilege level management and control api quickly develop upper layers through api and achieve multi end access and device remote control multi protocol access support low power standard protocols such as mqtt coap lorawan and websocket and adapt to mainstream wi fi modules nb iot modules lora gateways and various industrial gateways in the low power scenarios device management terminal registration opening and life cycle management provide continuous monitoring of status faults and reported data data parsing no need to change the data reporting format of the device and support writing decoding plug in for parsing in the cloud rule engine based on pulsar built in flexible sql expressions and rich processing functions realize the real time parsing of terminal messages high speed persistence rule processing and different types of action triggering application enablement open rich rest api interface with flexible and configurable application permissions help enterprises quickly build various upper layer applications tenant management support multi tenancy and the data between tenants is completely isolated users in the tenant can be configured with different permissions and management domains online demo installation visit https demo actorcloud io https demo actorcloud io to try out the full functionality of actorcloud online visit actorcloud deployment documentation https docs actorcloud io en installation base html to deploy actorcloud locally for use getting started see the quick start https docs actorcloud io en getting started quick start html document for the basic use of actorcloud device access device quick access guide for the steps of accessing devices to actorcloud please see the device quick access guide https docs actorcloud io en getting started access guide html device access method although the device messages in any access mode under the same account are interoperable the appropriate access method needs to be selected according to the product requirements the use of ssl tls generally results in higher security while reducing connection performance some devices are limited in performance and can only run lightweight coap clients while websocket is recommended for real time communication on the browser attached access protocol supported by actorcloud name access address description mqtt broker actorcloud io 1883 normal mqtt access mqtt ssl broker actorcloud io 8883 ssl mqtt access one way authentication mqtt ssl broker actorcloud io 8884 ssl mqtt access two way authentication coap lwm2m broker actorcloud io 5683 mqtt coap lwm2m access coap lwm2m dtls broker actorcloud io 5684 mqtt dtls coap lwm2m access mqtt websocket broker actorcloud io 8083 mqtt websocket access mqtt websocket ssl broker actorcloud io 8084 mqtt ssl websocket access private tcp transparent protocol custom made private tcp transparent protocol license actorcloud is released under apache 2 0 license https github com actorcloud actorcloud blob master license | dmp aep mqtt lwm2m modbus iot rules-engine iot-platform actorcloud lora flask vue | server |
cloud-azure | cloud azure azure cloud data engineering and analytics | cloud |
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AMA | ama app brewery project to learn and practice bootstrap css javascript backend database development | server |
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IOING | h1 style font size 70px color red text algin center lath h1 h1 style font size 40px color red https github com ioing lath h1 hr sudo npm install g ioing cli ioing ioi init template ioing ioi build ioi dev brand new front end engine ioing logo https raw githubusercontent com ioing ioing master logo png supported table thead tr td ie td td edge td td firefox td td chrome td td safari td tr thead tbody tr td 9 td td 14 td td 52 td td 49 td td 8 td tr tbody table hi this is a brand new front end engine which is going to be released officially in this july really grateful to meet you all here and bring the differences of experience to the community within ioing continuous updating would be guaranteed of docs and website demo http www ioing com discover index what is ioing ioing is not a simple front end framework as a second engine it provides a complete solution of modularization componentization sandbox memory management and pre loading of contents to improve the differences of html5 in comparison with the native app what can it do module animation animation type table thead tr td fade td td slide td td zoom td td flip td tr thead tbody tr td img src https github com ioing ioing docs blob master ioing src preview fade gif raw true width 200 td td img src https github com ioing ioing docs blob master ioing src preview slide gif raw true width 200 td td img src https github com ioing ioing docs blob master ioing src preview zoom gif raw true width 200 td td img src https github com ioing ioing docs blob master ioing src preview flip gif raw true width 200 td tr tbody table features of ioing cloud components html switch slider src http www ioing com components switch slider switch slider value on switch slider dom plus function tag development xml scroll scrolling loop colorful as value key div style color value value div loop scrolling scroll automatic data binding html p teacher name hello what you name p p user name my name is user name p wang hello what you name yangyang my name is yangyang sandbox comparable native app physical pixel module sandbox module transition animation thread control infinite page scroll efficiency of dom background stream of image height adjustment of virtual keyboard cursor position parameter rolling module mirroring route control manipulation of multi fingers asynchronous components silent refresh of modules life cycle of resources life cycle of modules data driven view documentation to explore more examples and docs of ioing please click to http www ioing com docs started ioing questions welcome to submit the issues on https github com ioing ioing issues stay in touch to learn the latest releases and announcements welcome to follow the wechat ioingroot folder structure the folder structure should look like frameworks folder lib folder application js css js dom js fetch js loader js move js promise js proto js query js sandbox js scroll js template js touch js transform js unify js modules folder components folder license gpl https opensource org licenses gpl 3 0 copyright c 2013 present linyang lien you | ioing javascript webcomponents spa single-page-applications framework mvvm virtual-dom sandbox shadow-dom | front_end |
openboxes | unit tests https github com openboxes openboxes actions workflows unit tests yml badge svg integration tests https github com openboxes openboxes actions workflows integration tests yml badge svg documentation status https readthedocs org projects openboxes badge version develop https readthedocs org projects openboxes badge develop dbdocs https github com openboxes openboxes actions workflows dbdocs yml badge svg docker image https github com openboxes openboxes actions workflows docker image yml badge svg financial contributors on open collective https opencollective com openboxes all badge svg label financial contributors https opencollective com openboxes prs welcome https img shields io badge prs welcome brightgreen svg style flat square http makeapullrequest com join the chat at https gitter im openboxes openboxes https badges gitter im openboxes openboxes svg https gitter im openboxes openboxes utm source badge utm medium badge utm campaign pr badge utm content badge openboxes about openboxes is an open source inventory and supply chain management system the initial implementation of openboxes will occur at partners in health supported facilities in haiti contributors code contributors this project exists thanks to all the people who contribute contribute contributing md a href https github com openboxes openboxes graphs contributors img src https opencollective com openboxes contributors svg width 890 button true a financial contributors become a financial contributor and help us sustain our community contribute https opencollective com openboxes contribute individuals a href https opencollective com openboxes img src https opencollective com openboxes individuals svg width 890 a organizations support this project with your organization your logo will show up here with a link to your website contribute https opencollective com openboxes contribute a href https opencollective com openboxes organization 0 website img src https opencollective com openboxes organization 0 avatar svg a a href https opencollective com openboxes organization 1 website img src https opencollective com openboxes organization 1 avatar svg a a href https opencollective com openboxes organization 2 website img src https opencollective com openboxes organization 2 avatar svg a a href https opencollective com openboxes organization 3 website img src https opencollective com openboxes organization 3 avatar svg a a href https opencollective com openboxes organization 4 website img src https opencollective com openboxes organization 4 avatar svg a a href https opencollective com openboxes organization 5 website img src https opencollective com openboxes organization 5 avatar svg a a href https opencollective com openboxes organization 6 website img src https opencollective com openboxes organization 6 avatar svg a a href https opencollective com openboxes organization 7 website img src https opencollective com openboxes organization 7 avatar svg a a href https opencollective com openboxes organization 8 website img src https opencollective com openboxes organization 8 avatar svg a a href https opencollective com openboxes organization 9 website img src https opencollective com openboxes organization 9 avatar svg a license copyright c 2012 partners in health all rights reserved the use and distribution terms for this software are covered by the eclipse public license 1 0 http opensource org licenses eclipse 1 0 php which can be found in the file epl v10 html at the root of this distribution by using this software in any fashion you are agreeing to be bound by the terms of this license you must not remove this notice or any other from this software deployment options we currently support deploying the openboxes application to digitalocean and azure we would like to support other deployment options like amazon web services vultr linode and others but don t have the resources to build and maintain these deployment options at the moment if interested in other deployment options please participate in the discussion here https community openboxes com t adding openboxes to linode 761 to help us better understand your requirements and expectations regarding deployment for instance it would be helpful to hear from service providers who would like to manage multiple customers or users who aren t tech savvy but prefer a certain deployment platform because of its ease of use deploy to digitalocean the deploy to digitalocean button will redirect you to digitalocean where you will be able to choose for more information and step by step instructions go to https community openboxes com t install openboxes via digitalocean marketplace 311 for our digitalocean marketplace app go to https marketplace digitalocean com apps openboxes server refcode da4712a483b4 deploy to digitalocean https www deploytodo com do btn blue svg https marketplace digitalocean com apps openboxes server refcode da4712a483b4 action deploy deploy to azure deploy to azure button will bring you to azure portal where after filling a few of the properties you can get your openboxes environment in a matter of minutes in the azure setup screen look at each property s tooltip description to understand its purpose for more information and step by step instructions go to https openboxes atlassian net wiki spaces obw pages 1719435265 push button deployment deploy to azure uses the arm template defined in openboxes devops https github com openboxes openboxes devops tree master arm template repository deploy to azure https aka ms deploytoazurebutton https portal azure com create microsoft template uri https 3a 2f 2fraw githubusercontent com 2fopenboxes 2fopenboxes devops 2fmaster 2farm template 2fopenboxes arm json visualize will open armviz io to display graph of all of the azure resources which the deployment will provision visualize https raw githubusercontent com azure azure quickstart templates master 1 contribution guide images visualizebutton svg sanitize true http armviz io load https 3a 2f 2fraw githubusercontent com 2fopenboxes 2fopenboxes devops 2fmaster 2farm template 2fopenboxes arm json setup development environment install dependencies required java 7 must install java 7 https www azul com downloads version java 7 lts package jdk mysql 5 7 https downloads mysql com archives community mac users 5 7 31 is the latest 5 7 x with a pre built installer and works fine sdk man https sdkman io install grails 1 3 9 https grails org download html npm 6 14 6 node 14 optional intellij idea 14 1 https www jetbrains com idea download chrome basic setup instructions for developers these instructions are for developers only if you are a user implementer please check out our installation http docs openboxes com en latest installation documentation 1 install dependencies install required dependencies above 2 install grails check that you have sdk man installed properly otherwise follow instructions on the skdman install page sdk version sdkman 5 13 2 install grails 1 3 9 sdk install grails 1 3 9 3 clone repository if you are a core contributor git clone git github com openboxes openboxes git if you are a not core contributor fork openboxes git repository https github com openboxes openboxes and replace git url with the one of your forked repository git clone git github com gitusername openboxes git 4 create database create openboxes database mysql u root p e create database openboxes default charset utf8 create openboxes user mysql u root p e grant all on openboxes to openboxes localhost identified by openboxes 5 create openboxes configuration file edit home grails openboxes config properties database connection settings you can use datasource url when you are using a non dev non test database test app may not run properly if you want to run grails test app you should comment out the datasource url below and create a new openboxes test database eventually we will move to an in memory h2 database for testing but we re currently stuck with mysql because i m using some mysql specific stuff in the liquibase changesets my bad datasource url jdbc mysql localhost 3306 openboxes datasource username openboxes datasource password openboxes openboxes mail settings disabled by default grails mail enabled false note if you are running in development mode with a copy of an existing production database you will need to instruct the application to not setup test fixtures automatically by uncommenting the above property openboxes fixtures enabled false 6 install npm dependencies npm config set engine strict true npm install 7 build react frontend you can build react frontend with this command but it will be automatically build when starting the application npm run bundle 8 react frontend hot reload when using this command react fronted will be rebuild automatically after any change you just need to refresh the browser to see the effect npm run watch 9 upgrade the project to the currently installed grails version either of the following actions upgrade compile run app should generate the all important spring configuration web inf applicationcontext xml and start the dependency resolution process grails upgrade or grails compile the grails compile step is not necessary since grails run app will invoke the compilation step but it doesn t hurt anything if you see any errors run the command again important that last line is important because of some quirkiness with the way older versions of grails resolve dependencies and generates config files you may need to run either of these commands multiple times in order to resolve all dependencies and generate the config files once the dependency resolution phase has completed all dependencies will be stored in a local ivy cache usually under user home grails ivy cache you do not have to worry about this just know that the dependencies are now on your machine and grails will attempt to find them there before it tries to resolve them in a remote repository 10 start application in development mode the application can be run in development mode this starts the application running in an instance of tomcat within the grails console you may need to run grails run app several times in order to download all dependencies grails run app 11 open application in google chrome http localhost 8080 openboxes 12 log into openboxes you can use the default accounts manager password or admin password once you are logged in as an admin you can create own account or you can use the signup form to create a new account 13 react tests to run new frontend react tests type npm test 14 grails tests to run grails tests type grails test app 15 react documentation start a style guide dev server npm run styleguide view your style guide in the browser http localhost 6060 troubleshooting how to debug run grails in debug mode grails debug run app in intellij navigate to run edit configurations create a new remote debug configuration name openboxes debug transport socket debugger mode attach host localhost port 5005 command line arguments should look something like this agentlib jdwp transport dt socket server y suspend n address 5005 problem caused by java io filenotfoundexception could not open servletcontext resource web inf applicationcontext xml solution execute the grails upgrade command in order to generate the files nece grails upgrade see the following stackoverflow article http stackoverflow com questions 24243027 grails spring security sample application not working | inventory-management warehouse-management shipment-tracking healthcare disaster-response hacktoberfest grails | os |
ml-system-in-actions | ml system in actions machine learning system examples tl dr 2021 5 ai mercari ml system design pattern ai https www amazon co jp ai e3 82 a8 e3 83 b3 e3 82 b8 e3 83 8b e3 82 a2 e3 81 ae e3 81 9f e3 82 81 e3 81 ae e6 a9 9f e6 a2 b0 e5 ad a6 e7 bf 92 e3 82 b7 e3 82 b9 e3 83 86 e3 83 a0 e3 83 87 e3 82 b6 e3 82 a4 e3 83 b3 e3 83 91 e3 82 bf e3 83 bc e3 83 b3 e6 be 81 e4 ba 95 e9 9b 84 e4 bb 8b ebook dp b08ynmrh4j crid 387xa7dart8ja keywords e6 a9 9f e6 a2 b0 e5 ad a6 e7 bf 92 e3 82 b7 e3 82 b9 e3 83 86 e3 83 a0 qid 1665798135 qu eyjxc2mioiiylju0iiwicxnhijoimi40ocisinfzcci6ijiundqifq 3d 3d sprefix 2caps 2c160 sr 8 1 linkcode ll1 tag shibuiyusuke 22 linkid 5a0d07b5a18ccd16f6c2e26fab00a106 language ja jp ref as li ss tl mercari ml system design pattern https github com mercari ml system design pattern img hyoshi jpg python 3 8 docker docker compose kubernetes minikube android studio docker docker compose kubernetes minikube android studio kubectl istioctl docker https docs docker com get docker docker compose https docs docker jp compose toc html kubernetes https kubernetes io ja docs setup minikube https kubernetes io ja docs setup learning environment minikube kubectl https kubernetes io ja docs tasks tools install kubectl istioctl https istio io latest docs setup getting started android studio https developer android com studio install python python pipenv pipenv python3 8 python pyenv https github com pyenv pyenv sh python python v python 3 8 5 pyenv pyenv versions system 3 8 5 pipenv pipenv venv make dev pip install pipenv requirement already satisfied pipenv in pyenv versions 3 8 5 lib python3 8 site packages 2020 11 15 requirement already satisfied six 2 1 9 0 in pyenv versions 3 8 5 lib python3 8 site packages from virtualenv pipenv 1 15 0 warning you are using pip version 20 1 1 however version 21 0 1 is available you should consider upgrading via the pyenv versions 3 8 5 bin python3 8 m pip install upgrade pip command pipenv venv in project true pipenv shell creating a virtualenv for this project pipfile book ml system in actions pipfile using pyenv versions 3 8 5 bin python3 8 3 8 5 to create virtualenv creating virtual environment created virtual environment cpython3 8 5 final 0 64 in 433ms creator cpython3posix dest book ml system in actions venv clear false no vcs ignore false global false seeder fromappdata download false pip bundle setuptools bundle wheel bundle via copy app data dir library application support virtualenv added seed packages pip 21 0 1 setuptools 52 0 0 wheel 0 36 2 activators bashactivator cshellactivator fishactivator powershellactivator pythonactivator xonshactivator successfully created virtual environment virtualenv location book ml system in actions venv launching subshell in virtual environment book ml system in actions venv bin activate 21 02 27 10 03 37 your name your namenomacbook pro book ml system in actions book ml system in actions venv bin activate ml system in actions 21 02 27 10 03 37 your name your namenomacbook pro book ml system in actions make dev sync pipenv sync dev installing dependencies from pipfile lock a2c081 93 93 00 02 36 all dependencies are now up to date pipenv venv exit readme readme br chapter2 training chapter2 training br cifar10 chapter2 training cifar10 br iris binary chapter2 training iris binary br iris sklearn outlier chapter2 training iris sklearn outlier br iris sklearn rf chapter2 training iris sklearn rf br iris sklearn svc chapter2 training iris sklearn svc br model db chapter2 training model db br chapter3 release patterns chapter3 release patterns br model in image pattern chapter3 release patterns model in image pattern br model load pattern chapter3 release patterns model load pattern br chapter4 serving patterns chapter4 serving patterns br asynchronous pattern chapter4 serving patterns asynchronous pattern br batch pattern chapter4 serving patterns batch pattern br data cache pattern chapter4 serving patterns data cache pattern br edge ai pattern chapter4 serving patterns edge ai pattern br horizontal microservice pattern chapter4 serving patterns horizontal microservice pattern br prediction cache pattern chapter4 serving patterns prediction cache pattern br prep pred pattern chapter4 serving patterns prep pred pattern br sync async pattern chapter4 serving patterns sync async pattern br synchronous pattern chapter4 serving patterns synchronous pattern br web single pattern chapter4 serving patterns web single pattern br chapter5 operations chapter5 operations br prediction log pattern chapter5 operations prediction log pattern br prediction monitoring pattern chapter5 operations prediction monitoring pattern br chapter6 operation management chapter6 operation management br circuit breaker pattern chapter6 operation management circuit breaker pattern br condition based pattern chapter6 operation management condition based pattern br load test pattern chapter6 operation management load test pattern br online ab pattern chapter6 operation management online ab pattern br paramater based pattern chapter6 operation management paramater based pattern br shadow ab pattern chapter6 operation management shadow ab pattern br | ai |
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awesome-nlp | awesome nlp awesome https cdn rawgit com sindresorhus awesome d7305f38d29fed78fa85652e3a63e154dd8e8829 media badge svg https github com sindresorhus awesome a curated list of resources dedicated to natural language processing awesome nlp logo images logo jpg read this in english readme md traditional chinese readme zh tw md please read the contribution guidelines contributing md before contributing please add your favourite nlp resource by raising a pull request https github com keonkim awesome nlp pulls contents research summaries and trends research summaries and trends prominent nlp research labs prominent nlp research labs tutorials tutorials reading content reading content videos and courses videos and online courses books books libraries libraries node js node js python python c c java java kotlin kotlin scala scala r r clojure clojure ruby ruby rust rust nlp nlp julia julia services services annotation tools annotation tools datasets datasets nlp in korean nlp in korean nlp in arabic nlp in arabic nlp in chinese nlp in chinese nlp in german nlp in german nlp in polish nlp in polish nlp in spanish nlp in spanish nlp in indic languages nlp in indic languages nlp in thai nlp in thai nlp in danish nlp in danish nlp in vietnamese nlp in vietnamese nlp for dutch nlp for dutch nlp in indonesian nlp in indonesian nlp in urdu nlp in urdu nlp in persian nlp in persian nlp in ukrainian nlp in ukrainian nlp in hungarian nlp in hungarian nlp in portuguese nlp in portuguese other languages other languages credits credits research summaries and trends nlp overview https nlpoverview com is an up to date overview of deep learning techniques applied to nlp including theory implementations applications and state of the art results this is a great deep nlp introduction for researchers nlp progress https nlpprogress com tracks the progress in natural language processing including the datasets and the current state of the art for the most common nlp tasks nlp s imagenet moment has arrived https thegradient pub nlp imagenet acl 2018 highlights understanding representation and evaluation in more challenging settings http ruder io acl 2018 highlights four deep learning trends from acl 2017 part one linguistic structure and word embeddings https www abigailsee com 2017 08 30 four deep learning trends from acl 2017 part 1 html four deep learning trends from acl 2017 part two interpretability and attention https www abigailsee com 2017 08 30 four deep learning trends from acl 2017 part 2 html highlights of emnlp 2017 exciting datasets return of the clusters and more http blog aylien com highlights emnlp 2017 exciting datasets return clusters deep learning for natural language processing nlp advancements trends https tryolabs com blog 2017 12 12 deep learning for nlp advancements and trends in 2017 utm campaign revue 20newsletter utm medium newsletter utm source the 20wild 20week 20in 20ai survey of the state of the art in natural language generation https arxiv org abs 1703 09902 prominent nlp research labs back to top contents the berkeley nlp group http nlp cs berkeley edu index shtml notable contributions include a tool to reconstruct long dead languages referenced here https www bbc com news science environment 21427896 and by taking corpora from 637 languages currently spoken in asia and the pacific and recreating their descendant language technologies institute carnegie mellon university http www cs cmu edu nasmith nlp cl html notable projects include avenue project http www cs cmu edu avenue a syntax driven machine translation system for endangered languages like quechua and aymara and previously noah s ark http www cs cmu edu ark which created aqmar http www cs cmu edu ark aqmar to improve nlp tools for arabic nlp research group columbia university http www1 cs columbia edu nlp index cgi responsible for creating bolt interactive error handling for speech translation systems and an un named project to characterize laughter in dialogue the center or language and speech processing john hopkins university http clsp jhu edu recently in the news for developing speech recognition software to create a diagnostic test or parkinson s disease here https www clsp jhu edu 2019 03 27 speech recognition software and machine learning tools are being used to create diagnostic test for parkinsons disease xnfqrikzydu computational linguistics and information processing group university of maryland https wiki umiacs umd edu clip index php main page notable contributions include human computer cooperation or word by word question answering http www umiacs umd edu jbg projects iis 1652666 and modeling development of phonetic representations penn natural language processing university of pennsylvania https nlp cis upenn edu famous for creating the penn treebank https www seas upenn edu pdtb the stanford nautral language processing group https nlp stanford edu one of the top nlp research labs in the world notable for creating stanford corenlp https nlp stanford edu software corenlp shtml and their coreference resolution system https nlp stanford edu software dcoref shtml tutorials back to top contents reading content general machine learning machine learning 101 https docs google com presentation d 1ksuqyw5dtnkvazejgyckfoxvzcqgefzwby4e9uedd9k edit usp sharing from google s senior creative engineer explains machine learning for engineer s and executives alike ai playbook https aiplaybook a16z com a16z ai playbook is a great link to forward to your managers or content for your presentations ruder s blog http ruder io open by sebastian ruder https twitter com seb ruder for commentary on the best of nlp research how to label data https www lighttag io how to label data guide to managing larger linguistic annotation projects depends on the definition https www depends on the definition com collection of blog posts covering a wide array of nlp topics with detailed implementation introductions and guides to nlp understand implement natural language processing https www analyticsvidhya com blog 2017 01 ultimate guide to understand implement natural language processing codes in python nlp in python http github com nirantk nlp python deep learning collection of github notebooks natural language processing an introduction https academic oup com jamia article 18 5 544 829676 oxford deep learning for nlp with pytorch https pytorch org tutorials beginner deep learning nlp tutorial html hands on nltk tutorial https github com hb20007 hands on nltk tutorial nltk tutorials jupyter notebooks natural language processing with python analyzing text with the natural language toolkit https www nltk org book an online and print book introducing nlp concepts using nltk the book s authors also wrote the nltk library train a new language model from scratch https huggingface co blog how to train hugging face the super duper nlp repo sdnlpr https notebooks quantumstat com collection of colab notebooks covering a wide array of nlp task implementations blogs and newsletters deep learning nlp and representations https colah github io posts 2014 07 nlp rnns representations the illustrated bert elmo and co how nlp cracked transfer learning https jalammar github io illustrated bert and the illustrated transformer https jalammar github io illustrated transformer natural language processing https nlpers blogspot com by hal daum iii arxiv natural language processing almost from scratch https arxiv org pdf 1103 0398 pdf karpathy s the unreasonable effectiveness of recurrent neural networks https karpathy github io 2015 05 21 rnn effectiveness machine learning mastery deep learning for natural language processing https machinelearningmastery com category natural language processing visual nlp paper summaries https amitness com categories nlp videos and online courses back to top contents advanced natural language processing https people cs umass edu miyyer cs685 f20 cs 685 umass amherst cs deep natural language processing https github com oxford cs deepnlp 2017 lectures lectures series from oxford deep learning for natural language processing cs224 n https web stanford edu class cs224n richard socher and christopher manning s stanford course neural networks for nlp http phontron com class nn4nlp2017 carnegie mellon language technology institute there deep nlp course https github com yandexdataschool nlp course by yandex data school covering important ideas from text embedding to machine translation including sequence modeling language models and so on fast ai code first intro to natural language processing https www fast ai 2019 07 08 fastai nlp this covers a blend of traditional nlp topics including regex svd naive bayes tokenization and recent neural network approaches including rnns seq2seq grus and the transformer as well as addressing urgent ethical issues such as bias and disinformation find the jupyter notebooks here https github com fastai course nlp machine learning university accelerated natural language processing https www youtube com playlist list pl8p z6c4gcuwfaq8pt6pbylck4oprhxsw lectures go from introduction to nlp and text processing to recurrent neural networks and transformers material can be found here https github com aws samples aws machine learning university accelerated nlp applied natural language processing https www youtube com playlist list plh xyrxjfo2wyr3poab006cymhnt4wtqp lecture series from iit madras taking from the basics all the way to autoencoders and everything the github notebooks for this course are also available here https github com ramaseshanr anlp books speech and language processing https web stanford edu jurafsky slp3 free by prof dan jurafsy natural language processing https github com jacobeisenstein gt nlp class free nlp notes by dr jacob eisenstein at georgiatech nlp with pytorch https github com joosthub pytorchnlpbook brian delip rao text mining in r https www tidytextmining com natural language processing with python https www nltk org book practical natural language processing https www oreilly com library view practical natural language 9781492054047 natural language processing with spark nlp https www oreilly com library view natural language processing 9781492047759 deep learning for natural language processing https www manning com books deep learning for natural language processing by stephan raaijmakers real world natural language processing https www manning com books real world natural language processing by masato hagiwara natural language processing in action second edition https www manning com books natural language processing in action second edition by hobson lane and maria dyshel libraries back to top contents a id node js node js and javascript node js libaries for nlp a back to top contents twitter text https github com twitter twitter text a javascript implementation of twitter s text processing library knwl js https github com benhmoore knwl js a natural language processor in js retext https github com retextjs retext extensible system for analyzing and manipulating natural language nlp compromise https github com spencermountain compromise natural language processing in the browser natural https github com naturalnode natural general natural language facilities for node poplar https github com synyi poplar a web based annotation tool for natural language processing nlp nlp js https github com axa group nlp js an nlp library for building bots node question answering https github com huggingface node question answering fast and production ready question answering w distilbert in node js a id python python python nlp libraries a back to top contents sentimental onix https github com sloev sentimental onix sentiment models for spacy using onnx textattack https github com qdata textattack adversarial attacks adversarial training and data augmentation in nlp textblob http textblob readthedocs org providing a consistent api for diving into common natural language processing nlp tasks stands on the giant shoulders of natural language toolkit nltk https www nltk org and pattern https github com clips pattern and plays nicely with both 1 spacy https github com explosion spacy industrial strength nlp with python and cython 1 speedster https github com nebuly ai nebullvm tree main apps accelerate speedster automatically apply sota optimization techniques to achieve the maximum inference speed up on your hardware textacy https github com chartbeat labs textacy higher level nlp built on spacy gensim https radimrehurek com gensim index html python library to conduct unsupervised semantic modelling from plain text 1 scattertext https github com jasonkessler scattertext python library to produce d3 visualizations of how language differs between corpora gluonnlp https github com dmlc gluon nlp a deep learning toolkit for nlp built on mxnet gluon for research prototyping and industrial deployment of state of the art models on a wide range of nlp tasks allennlp https github com allenai allennlp an nlp research library built on pytorch for developing state of the art deep learning models on a wide variety of linguistic tasks pytorch nlp https github com petrochukm pytorch nlp nlp research toolkit designed to support rapid prototyping with better data loaders word vector loaders neural network layer representations common nlp metrics such as bleu rosetta https github com columbia applied data science rosetta text processing tools and wrappers e g vowpal wabbit pynlpl https github com proycon pynlpl python natural language processing library general purpose nlp library for python handles some specific formats like arpa language models moses phrasetables giza alignments foliapy https github com proycon foliapy python library for working with folia https proycon github io folia an xml format for linguistic annotation pyss3 https github com sergioburdisso pyss3 python package that implements a novel white box machine learning model for text classification called ss3 since ss3 has the ability to visually explain its rationale this package also comes with easy to use interactive visualizations tools online demos http tworld io ss3 jptdp https github com datquocnguyen jptdp a toolkit for joint part of speech pos tagging and dependency parsing jptdp provides pre trained models for 40 languages bigartm https github com bigartm bigartm a fast library for topic modelling snips nlu https github com snipsco snips nlu a production ready library for intent parsing chazutsu https github com chakki works chazutsu a library for downloading parsing standard nlp research datasets word forms https github com gutfeeling word forms word forms can accurately generate all possible forms of an english word multilingual latent dirichlet allocation lda https github com artificiai multilingual latent dirichlet allocation lda a multilingual and extensible document clustering pipeline natural language toolkit nltk https www nltk org a library containing a wide variety of nlp functionality supporting over 50 corpora nlp architect https github com nervanasystems nlp architect a library for exploring the state of the art deep learning topologies and techniques for nlp and nlu flair https github com zalandoresearch flair a very simple framework for state of the art multilingual nlp built on pytorch includes bert elmo and flair embeddings kashgari https github com brikerman kashgari simple keras powered multilingual nlp framework allows you to build your models in 5 minutes for named entity recognition ner part of speech tagging pos and text classification tasks includes bert and word2vec embedding farm https github com deepset ai farm fast easy transfer learning for nlp harvesting language models for the industry focus on question answering haystack https github com deepset ai haystack end to end python framework for building natural language search interfaces to data leverages transformers and the state of the art of nlp supports dpr elasticsearch huggingface s modelhub and much more rita dsl https github com zaibacu rita dsl a dsl loosely based on ruta on apache uima https uima apache org ruta html allows to define language patterns rule based nlp which are then translated into spacy https spacy io or if you prefer less features and lightweight regex patterns transformers https github com huggingface transformers natural language processing for tensorflow 2 0 and pytorch tokenizers https github com huggingface tokenizers tokenizers optimized for research and production fairseq https github com pytorch fairseq facebook ai research implementations of sota seq2seq models in pytorch corex topic https github com gregversteeg corex topic hierarchical topic modeling with minimal domain knowledge sockeye https github com awslabs sockeye neural machine translation nmt toolkit that powers amazon translate dl translate https github com xhlulu dl translate a deep learning based translation library for 50 languages built on transformers and facebook s mbart large jury https github com obss jury evaluation of nlp model outputs offering various automated metrics python ucto https github com proycon python ucto unicode aware regular expression based tokenizer for various languages python binding to c library supports folia format https proycon github io folia a id c c c libraries a back to top contents insnet https github com chncwang insnet a neural network library for building instance dependent nlp models with padding free dynamic batching mit information extraction toolkit https github com mit nlp mitie c c and python tools for named entity recognition and relation extraction crf https taku910 github io crfpp open source implementation of conditional random fields crfs for segmenting labeling sequential data other natural language processing tasks crfsuite http www chokkan org software crfsuite crfsuite is an implementation of conditional random fields crfs for labeling sequential data bllip parser https github com bllip bllip parser bllip natural language parser also known as the charniak johnson parser colibri core https github com proycon colibri core c library command line tools and python binding for extracting and working with basic linguistic constructions such as n grams and skipgrams in a quick and memory efficient way ucto https github com languagemachines ucto unicode aware regular expression based tokenizer for various languages tool and c library supports folia format libfolia https github com languagemachines libfolia c library for the folia format https proycon github io folia frog https github com languagemachines frog memory based nlp suite developed for dutch pos tagger lemmatiser dependency parser ner shallow parser morphological analyzer meta https github com meta toolkit meta meta modern text analysis https meta toolkit org is a c data sciences toolkit that facilitates mining big text data mecab japanese https taku910 github io mecab moses http statmt org moses starspace https github com facebookresearch starspace a library from facebook for creating embeddings of word level paragraph level document level and for text classification a id java java java nlp libraries a back to top contents stanford nlp https nlp stanford edu software index shtml opennlp https opennlp apache org nlp4j https emorynlp github io nlp4j word2vec in java https deeplearning4j org docs latest deeplearning4j nlp word2vec reverb https github com knowitall reverb web scale open information extraction openregex https github com knowitall openregex an efficient and flexible token based regular expression language and engine cogcompnlp https github com cogcomp cogcomp nlp core libraries developed in the u of illinois cognitive computation group mallet http mallet cs umass edu machine learning for language toolkit package for statistical natural language processing document classification clustering topic modeling information extraction and other machine learning applications to text rdrpostagger https github com datquocnguyen rdrpostagger a robust pos tagging toolkit available in both java python together with pre trained models for 40 languages a id kotlin kotlin kotlin nlp libraries a back to top contents lingua https github com pemistahl lingua a language detection library for kotlin and java suitable for long and short text alike kotidgy https github com meiblorn kotidgy an index based text data generator written in kotlin a id scala scala scala nlp libraries a back to top contents saul https github com cogcomp saul library for developing nlp systems including built in modules like srl pos etc atr4s https github com ispras atr4s toolkit with state of the art automatic term recognition https en wikipedia org wiki terminology extraction methods tm https github com ispras tm implementation of topic modeling based on regularized multilingual plsa https en wikipedia org wiki probabilistic latent semantic analysis word2vec scala https github com refefer word2vec scala scala interface to word2vec model includes operations on vectors like word distance and word analogy epic https github com dlwh epic epic is a high performance statistical parser written in scala along with a framework for building complex structured prediction models spark nlp https github com johnsnowlabs spark nlp spark nlp is a natural language processing library built on top of apache spark ml that provides simple performant accurate nlp annotations for machine learning pipelines that scale easily in a distributed environment a id r r r nlp libraries a back to top contents text2vec https github com dselivanov text2vec fast vectorization topic modeling distances and glove word embeddings in r wordvectors https github com bmschmidt wordvectors an r package for creating and exploring word2vec and other word embedding models rmallet https github com mimno rmallet r package to interface with the java machine learning tool mallet dfr browser https github com agoldst dfr browser creates d3 visualizations for browsing topic models of text in a web browser dfrtopics https github com agoldst dfrtopics r package for exploring topic models of text sentiment classifier https github com kevincobain2000 sentiment classifier sentiment classification using word sense disambiguation and wordnet reader jprocessing https github com kevincobain2000 jprocessing japanese natural langauge processing libraries with japanese sentiment classification corporaexplorer https kgjerde github io corporaexplorer an r package for dynamic exploration of text collections tidytext https github com juliasilge tidytext text mining using tidy tools spacyr https github com quanteda spacyr r wrapper to spacy nlp cran task view natural language processing https github com cran task views naturallanguageprocessing a id clojure clojure a back to top contents clojure opennlp https github com dakrone clojure opennlp natural language processing in clojure opennlp infections clj https github com r0man inflections clj rails like inflection library for clojure and clojurescript postagga https github com fekr postagga a library to parse natural language in clojure and clojurescript a id ruby ruby a back to top contents kevin dias s a collection of natural language processing nlp ruby libraries tools and software https github com diasks2 ruby nlp practical natural language processing done in ruby https github com arbox nlp with ruby a id rust rust a back to top contents whatlang https github com greyblake whatlang rs natural language recognition library based on trigrams snips nlu rs https github com snipsco snips nlu rs a production ready library for intent parsing rust bert https github com guillaume be rust bert ready to use nlp pipelines and transformer based models a id nlp nlp nlp language a back to top contents vscode language extension https marketplace visualstudio com items itemname dehilster nlp nlp language extension for vscode nlp engine https github com visualtext nlp engine nlp engine to run nlp code on linux including a full english parser visualtext http visualtext org homepage for the nlp language nlp wiki http wiki naturalphilosophy org index php title nlp 2b 2b wiki entry for the nlp language a id julia julia a back to top contents corpusloaders https github com juliatext corpusloaders jl a variety of loaders for various nlp corpora languages https github com juliatext languages jl a package for working with human languages textanalysis https github com juliatext textanalysis jl julia package for text analysis textmodels https github com juliatext textmodels jl neural network based models for natural language processing wordtokenizers https github com juliatext wordtokenizers jl high performance tokenizers for natural language processing and other related tasks word2vec https github com juliatext word2vec jl julia interface to word2vec services nlp as api with higher level functionality such as ner topic tagging and so on back to top contents wit ai https github com wit ai wit natural language interface for apps and devices ibm watson s natural language understanding https github com watson developer cloud natural language understanding nodejs api and github demo amazon comprehend https aws amazon com comprehend nlp and ml suite covers most common tasks like ner tagging and sentiment analysis google cloud natural language api https cloud google com natural language syntax analysis ner sentiment analysis and content tagging in atleast 9 languages include english and chinese simplified and traditional paralleldots https www paralleldots com text analysis apis high level text analysis api service ranging from sentiment analysis to intent analysis microsoft cognitive service https azure microsoft com en us services cognitive services text analytics textrazor https www textrazor com rosette https www rosette com textalytic https www textalytic com natural language processing in the browser with sentiment analysis named entity extraction pos tagging word frequencies topic modeling word clouds and more nlp cloud https nlpcloud io spacy nlp models custom and pre trained ones served through a restful api for named entity recognition ner pos tagging and more cloudmersive https cloudmersive com nlp api unified and free nlp apis that perform actions such as speech tagging text rephrasing language translation detection and sentence parsing annotation tools gate https gate ac uk overview html general architecture and text engineering is 15 years old free and open source anafora https github com weitechen anafora is free and open source web based raw text annotation tool brat https brat nlplab org brat rapid annotation tool is an online environment for collaborative text annotation doccano https github com chakki works doccano doccano is free open source and provides annotation features for text classification sequence labeling and sequence to sequence inception https inception project github io a semantic annotation platform offering intelligent assistance and knowledge management tagtog https www tagtog net team first web tool to find create maintain and share datasets costs prodigy https prodi gy is an annotation tool powered by active learning costs lighttag https lighttag io hosted and managed text annotation tool for teams costs rstweb https corpling uis georgetown edu rstweb info open source local or online tool for discourse tree annotations gitdox https corpling uis georgetown edu gitdox open source server annotation tool with github version control and validation for xml data and collaborative spreadsheet grids label studio https www heartex ai hosted and managed text annotation tool for teams freemium based costs datasaur https datasaur ai support various nlp tasks for individual or teams freemium based konfuzio https konfuzio com en team first hosted and on prem text image and pdf annotation tool powered by active learning freemium based costs ubiai https ubiai tools easy to use text annotation tool for teams with most comprehensive auto annotation features supports ner relations and document classification as well as ocr annotation for invoice labeling costs shoonya https github com ai4bharat shoonya backend shoonya is free and open source data annotation platform with wide varities of organization and workspace level management system shoonya is data agnostic can be used by teams to annotate data with various level of verification stages at scale annotation lab https www johnsnowlabs com annotation lab free end to end no code platform for text annotation and dl model training tuning out of the box support for named entity recognition classification relation extraction and assertion status spark nlp models unlimited support for users teams projects documents not foss flat https github com proycon flat flat is a web based linguistic annotation environment based around the folia format http proycon github io folia a rich xml based format for linguistic annotation free and open source techniques text embeddings word embeddings thumb rule fasttext glove word2vec word2vec https papers nips cc paper 5021 distributed representations of words and phrases and their compositionality pdf implementation https code google com archive p word2vec explainer blog http colah github io posts 2014 07 nlp rnns representations glove https nlp stanford edu pubs glove pdf explainer blog https blog acolyer org 2016 04 22 glove global vectors for word representation fasttext implementation https github com facebookresearch fasttext paper https arxiv org abs 1607 04606 explainer blog https towardsdatascience com fasttext under the hood 11efc57b2b3 sentence and language model based word embeddings back to top contents elmo deep contextualized word representations https arxiv org abs 1802 05365 pytorch implmentation https github com allenai allennlp blob master tutorials how to elmo md tf implementation https github com allenai bilm tf ulmfit universal language model fine tuning for text classification https arxiv org abs 1801 06146 by jeremy howard and sebastian ruder infersent supervised learning of universal sentence representations from natural language inference data https arxiv org abs 1705 02364 by facebook cove learned in translation contextualized word vectors https arxiv org abs 1708 00107 pargraph vectors from distributed representations of sentences and documents https cs stanford edu quocle paragraph vector pdf see doc2vec tutorial at gensim https rare technologies com doc2vec tutorial sense2vec https arxiv org abs 1511 06388 on word sense disambiguation skip thought vectors https arxiv org abs 1506 06726 word representation method adaptive skip gram https arxiv org abs 1502 07257 similar approach with adaptive properties sequence to sequence learning https papers nips cc paper 5346 sequence to sequence learning with neural networks pdf word vectors for machine translation question answering and knowledge extraction back to top contents drqa https github com facebookresearch drqa open domain question answering work by facebook research on wikipedia data document qa https github com allenai document qa simple and effective multi paragraph reading comprehension by allenai template based information extraction without the templates https www usna edu users cs nchamber pubs acl2011 chambers templates pdf privee an architecture for automatically analyzing web privacy policies https www sebastianzimmeck de zimmeckandbellovin2014privee pdf datasets back to top contents nlp datasets https github com niderhoff nlp datasets great collection of nlp datasets gensim data https github com rare technologies gensim data data repository for pretrained nlp models and nlp corpora multilingual nlp frameworks back to top contents udpipe https github com ufal udpipe is a trainable pipeline for tokenizing tagging lemmatizing and parsing universal treebanks and other conll u files primarily written in c offers a fast and reliable solution for multilingual nlp processing nlp cube https github com adobe nlp cube natural language processing pipeline sentence splitting tokenization lemmatization part of speech tagging and dependency parsing new platform written in python with dynet 2 0 offers standalone cli python bindings and server functionality rest api uralicnlp https github com mikahama uralicnlp is an nlp library mostly for many endangered uralic languages such as sami languages mordvin languages mari languages komi languages and so on also some non endangered languages are supported such as finnish together with non uralic languages such as swedish and arabic uralicnlp can do morphological analysis generation lemmatization and disambiguation nlp in korean back to top contents libraries konlpy http konlpy org python package for korean natural language processing mecab korean https eunjeon blogspot com c library for korean nlp koalanlp https koalanlp github io koalanlp scala library for korean natural language processing konlp https cran r project org package konlp r package for korean natural language processing blogs and tutorials dsindex s blog https dsindex github io kangwon university s nlp course in korean http cs kangwon ac kr leeck nlp datasets kaist corpus http semanticweb kaist ac kr home index php kaist corpus a corpus from the korea advanced institute of science and technology in korean naver sentiment movie corpus in korean https github com e9t nsmc chosun ilbo archive http srchdb1 chosun com pdf i archive dataset in korean from one of the major newspapers in south korea the chosun ilbo chat data https github com songys chatbot data chatbot data in korean petitions https github com akngs petitions collect expired petition data from the blue house national petition site korean parallel corpora https github com j min korean parallel corpora neural machine translation nmt dataset for korean to french korean to english korquad https korquad github io korean squad dataset with wiki html source mentions both v1 0 and v2 1 at the time of adding to awesome nlp nlp in arabic back to top contents libraries goarabic https github com 01walid goarabic go package for arabic text processing jsastem https github com ejtaal jsastem javascript for arabic stemming pyarabic https pypi org project pyarabic python libraries for arabic rftokenizer https github com amir zeldes rftokenizer trainable python segmenter for arabic hebrew and coptic datasets multidomain datasets https github com hadyelsahar large arabic sentiment analysis resouces largest available multi domain resources for arabic sentiment analysis labr https github com mohamedadaly labr large arabic book reviews dataset arabic stopwords https github com mohataher arabic stop words a list of arabic stopwords from various resources nlp in chinese back to top contents libraries jieba https github com fxsjy jieba jieba 1 python package for words segmentation utilities in chinese snownlp https github com isnowfy snownlp python package for chinese nlp fudannlp https github com fudannlp fnlp java library for chinese text processing hanlp https github com hankcs hanlp the multilingual nlp library anthology funnlp https github com fighting41love funnlp collection of nlp tools and resources mainly for chinese nlp in german german nlp https github com adbar german nlp curated list of open access open source off the shelf resources and tools developed with a particular focus on german nlp in polish polish nlp https github com ksopyla awesome nlp polish a curated list of resources dedicated to natural language processing nlp in polish models tools datasets nlp in spanish back to top contents libraries spanlp https github com jfreddypuentes spanlp python library to detect censor and clean profanity vulgarities hateful words racism xenophobia and bullying in texts written in spanish it contains data of 21 spanish speaking countries data columbian political speeches https github com dav009 latinamericantextresources copenhagen treebank https mbkromann github io copenhagen dependency treebank spanish billion words corpus with word2vec embeddings https github com crscardellino sbwce compilation of spanish unannotated corpora https github com josecannete spanish unannotated corpora word and sentence embeddings spanish word embeddings computed with different methods and from different corpora https github com dccuchile spanish word embeddings spanish word embeddings computed from large corpora and different sizes using fasttext https github com botcenter spanishwordembeddings spanish sentence embeddings computed from large corpora using sent2vec https github com botcenter spanishsent2vec beto bert for spanish https github com dccuchile beto nlp in indic languages back to top contents data corpora and treebanks hindi dependency treebank https ltrc iiit ac in treebank h2014 a multi representational multi layered treebank for hindi and urdu universal dependencies treebank in hindi https universaldependencies org treebanks hi hdtb index html parallel universal dependencies treebank in hindi http universaldependencies org treebanks hi pud index html a smaller part of the above mentioned treebank isi fire stopwords list hindi and bangla https www isical ac in fire data peter graham s stopwords list https github com 6 stopwords json nltk corpus https www nltk org book ch02 html 60k words pos tagged bangla hindi marathi telugu hindi movie reviews dataset https github com goru001 nlp for hindi 1k samples 3 polarity classes bbc news hindi dataset https github com nirantk hindi2vec releases tag bbc hindi v0 1 4 3k samples 14 classes iit patna hindi absa dataset https github com pnisarg absa 5 4k samples 12 domains 4k aspect terms aspect and sentence level polarity in 4 classes bangla absa https github com atikrahman bangla datasets absa 5 5k samples 2 domains 10 aspect terms iit patna movie review sentiment dataset https www iitp ac in ai nlp ml resources html 2k samples 3 polarity labels corpora datasets that need a login access can be gained via email sail 2015 http amitavadas com sail twitter and facebook labelled sentiment samples in hindi bengali tamil telugu iit bombay nlp resources http www cfilt iitb ac in sentiment analysis resources html sentiwordnet movie and tourism parallel labelled corpora polarity labelled sense annotated corpus marathi polarity labelled corpus tdil ic aggregates a lot of useful resources and provides access to otherwise gated datasets https tdil dc in index php option com catalogue task viewtools id 83 lang en language models and word embeddings hindi2vec https nirantk com hindi2vec and nlp for hindi https github com goru001 nlp for hindi ulmfit style languge model iit patna bilingual word embeddings hi en https www iitp ac in ai nlp ml resources html fasttext word embeddings in a whole bunch of languages trained on common crawl https fasttext cc docs en crawl vectors html hindi and bengali word2vec https github com kyubyong wordvectors hindi and urdu elmo model https github com hit scir elmoformanylangs sanskrit albert https huggingface co surajp albert base sanskrit trained on sanskrit wikipedia and oscar corpus libraries and tooling multi task deep morphological analyzer https github com saurav0074 mt dma deep network based morphological parser for hindi and urdu anoop kunchukuttan https github com anoopkunchukuttan indic nlp library 18 languages whole host of features from tokenization to translation sivareddy s dependency parser http sivareddy in downloads dependency parser and pos tagger for kannada hindi and telugu python3 port https github com calmdownkarm sivareddydependencyparser inltk https github com goru001 inltk a natural language toolkit for indic languages indian subcontinent languages built on top of pytorch fastai which aims to provide out of the box support for common nlp tasks nlp in thai back to top contents libraries pythainlp https github com pythainlp pythainlp thai nlp in python package jtcc https github com wittawatj jtcc a character cluster library in java cutkum https github com pucktada cutkum word segmentation with deep learning in tensorflow thai language toolkit https pypi python org pypi tltk based on a paper by wirote aroonmanakun in 2002 with included dataset synthai https github com kenjiroai synthai word segmentation and pos tagging using deep learning in python data inter best https www nectec or th corpus index php league pm a text corpus with 5 million words with word segmentation prime minister 29 https github com pythainlp lexicon thai tree master thai corpus prime 20minister 2029 dataset containing speeches of the current prime minister of thailand nlp in danish named entity recognition for danish https github com itunlp daner danlp https github com alexandrainst danlp nlp resources in danish awesome danish https github com fnielsen awesome danish a curated list of awesome resources for danish language technology nlp in vietnamese libraries underthesea https github com undertheseanlp underthesea vietnamese nlp toolkit vn vitk https github com phuonglh vn vitk a vietnamese text processing toolkit vncorenlp https github com vncorenlp vncorenlp a vietnamese natural language processing toolkit phobert https github com vinairesearch phobert pre trained language models for vietnamese pyvi https github com trungtv pyvi python vietnamese core nlp toolkit data vietnamese treebank https vlsp hpda vn demo page resources lang en 10 000 sentences for the constituency parsing task bktreebank https arxiv org pdf 1710 05519 pdf a vietnamese dependency treebank ud vietnamese https github com universaldependencies ud vietnamese vtb vietnamese universal dependency treebank vivos https ailab hcmus edu vn vivos a free vietnamese speech corpus consisting of 15 hours of recording speech by ailab vntqcorpus big txt http viet jnlp org download du lieu tu vung corpus 1 75 million sentences in news vitext2sql https github com vinairesearch vitext2sql a dataset for vietnamese text to sql semantic parsing emnlp 2020 findings evb corpus https github com qhungngo evbcorpus 20 000 000 words 20 million from 15 bilingual books 100 parallel english vietnamese vietnamese english texts 250 parallel law and ordinance texts 5 000 news articles and 2 000 film subtitles nlp for dutch back to top contents python frog https github com proycon python frog python binding to frog an nlp suite for dutch pos tagging lemmatisation dependency parsing ner simplenlg nl https github com rfdj simplenlg nl dutch surface realiser used for natural language generation in dutch based on the simplenlg implementation for english and french alpino https github com rug compling alpino dependency parser for dutch also does pos tagging and lemmatisation kaldi nl https github com opensource spraakherkenning nl kaldi nl dutch speech recognition models based on kaldi http kaldi asr org spacy https spacy io dutch model https spacy io models nl available industrial strength nlp with python and cython nlp in indonesian datasets kompas and tempo collections at ilps http ilps science uva nl resources bahasa panl10n for pos tagging http www panl10n net english outputs indonesia ui 0802 ui 1m tagged zip 39k sentences and 900k word tokens idn for pos tagging https github com famrashel idn tagged corpus this corpus contains 10k sentences and 250k word tokens indonesian treebank https github com famrashel idn treebank and universal dependencies indonesian https github com universaldependencies ud indonesian gsd indosum https github com kata ai indosum for text summarization and classification both wordnet bahasa http wn msa sourceforge net large free semantic dictionary indobenchmark indonlu https github com indobenchmark indonlu includes pre trained language model indobert fasttext model indo4b corpus and several nlu benchmark datasets libraries embedding natural language toolkit bahasa https github com kangfend bahasa indonesian word embedding https github com galuhsahid indonesian word embedding pretrained indonesian fasttext text embedding https s3 us west 1 amazonaws com fasttext vectors wiki id zip trained on wikipedia indobenchmark indonlu https github com indobenchmark indonlu includes pretrained language model indobert fasttext model indo4b corpus and several nlu benchmark datasets nlp in urdu datasets collection of urdu datasets https github com mirfan899 urdu for pos ner and nlp tasks libraries natural language processing library https github com urduhack urduhack for urdu language nlp in persian back to top contents libraries hazm https github com roshan research hazm persian nlp toolkit parsivar https github com ictrc parsivar a language processing toolkit for persian perke https github com alirezatheh perke perke is a python keyphrase extraction package for persian language it provides an end to end keyphrase extraction pipeline in which each component can be easily modified or extended to develop new models perstem https github com jonsafari perstem persian stemmer morphological analyzer transliterator and partial part of speech tagger parsianalyzer https github com narimann2 parsianalyzer persian analyzer for elasticsearch virastar https github com aziz virastar cleaning up persian text datasets bijankhan corpus https dbrg ut ac ir e2 80 8c bijankhan corpus is a tagged corpus that is suitable for natural language processing research on the persian farsi language this collection is gathered form daily news and common texts in this collection all documents are categorized into different subjects such as political cultural and so on totally there are 4300 different subjects the bijankhan collection contains about 2 6 millions manually tagged words with a tag set that contains 40 persian pos tags uppsala persian corpus upc https sites google com site mojganserajicom home upc uppsala persian corpus upc is a large freely available persian corpus the corpus is a modified version of the bijankhan corpus with additional sentence segmentation and consistent tokenization containing 2 704 028 tokens and annotated with 31 part of speech tags the part of speech tags are listed with explanations in this table https sites google com site mojganserajicom home upc table tag pdf large scale colloquial persian http hdl handle net 11234 1 3195 large scale colloquial persian dataset lscp is hierarchically organized in asemantic taxonomy that focuses on multi task informal persian language understanding as a comprehensive problem lscp includes 120m sentences from 27m casual persian tweets with its dependency relations in syntactic annotation part of speech tags sentiment polarity and automatic translation of original persian sentences in english en german de czech cs italian it and hindi hi spoken languages learn more about this project at lscp webpage https iasbs ac ir ansari lscp armanpersonercorpus https github com haniehp persianner the dataset includes 250 015 tokens and 7 682 persian sentences in total it is available in 3 folds to be used in turn as training and test sets each file contains one token along with its manually annotated named entity tag per line each sentence is separated with a newline the ner tags are in iob format farsiyar persianner https github com text mining persian ner the dataset includes about 25 000 000 tokens and about 1 000 000 persian sentences in total based on persian wikipedia corpus https github com text mining persian wikipedia corpus the ner tags are in iob format more than 1000 volunteers contributed tag improvements to this dataset via web panel or android app they release updated tags every two weeks perlex http farsbase net perlex html the first persian dataset for relation extraction which is an expert translated version of the semeval 2010 task 8 dataset link to the relevant publication persian syntactic dependency treebank http dadegan ir catalog perdt this treebank is supplied for free noncommercial use for commercial uses feel free to contact us the number of annotated sentences is 29 982 sentences including samples from almost all verbs of the persian valency lexicon uppsala persian dependency treebank updt http stp lingfil uu se mojgan updt html dependency based syntactically annotated corpus hamshahri https dbrg ut ac ir hamshahri hamshahri collection is a standard reliable persian text collection that was used at cross language evaluation forum clef during years 2008 and 2009 for evaluation of persian information retrieval systems nlp in ukrainian back to top contents awesome ukrainian nlp https github com asivokon awesome ukrainian nlp a curated list of ukrainian nlp datasets models etc ukrainianlt https github com helsinki nlp ukrainianlt another curated list with a focus on machine translation and speech processing nlp in hungarian back to top contents awesome hungarian nlp https github com oroszgy awesome hungarian nlp a curated list of free resources dedicated to hungarian natural language processing nlp in portuguese back to top contents portuguese nlp https github com ajdavidl portuguese nlp a list of resources and tools developed with focus on portuguese other languages russian pymorphy2 https github com kmike pymorphy2 a good pos tagger for russian asian languages thai lao chinese japanese and korean icu tokenizer https www elastic co guide en elasticsearch plugins current analysis icu tokenizer html implementation in elasticsearch ancient languages cltk https github com cltk cltk the classical language toolkit is a python library and collection of texts for doing nlp in ancient languages hebrew nlph resources https github com nlph nlph resources a collection of papers corpora and linguistic resources for nlp in hebrew back to top contents credits credits md for initial curators and sources license license license cc0 | natural-language-processing deep-learning machine-learning language awesome awesome-list nlp text-mining | ai |
flow-ft | fungible token standard this is a description of the flow standard for fungible token contracts it is meant to contain the minimum requirements to implement a safe secure easy to understand and easy to use fungible token contract it also includes an example implementation to show how a concrete smart contract would actually implement the interface what is flow flow is a new blockchain for open worlds read more about it here https www onflow org what is cadence cadence is a new resource oriented programming language for developing smart contracts for the flow blockchain read more about it here https docs onflow org docs and see its implementation here https github com onflow cadence we recommend that anyone who is reading this should have already completed the cadence tutorials https docs onflow org docs getting started 1 so they can build a basic understanding of the programming language resource oriented programming and by extension cadence is the perfect programming environment for currencies because users are able to store their tokens directly in their accounts and transact peer to peer please see the blog post about resources https medium com dapperlabs resource oriented programming bee4d69c8f8e to understand why they are perfect for digital assets import addresses the fungibletoken fungibletokenmetadataviews and fungibletokenswitchboard contracts are already deployed on various networks you can import them in your contracts from these addresses there is no need to deploy them yourself note default deployment of fungibletokenmetadataviews and fungibletokenswitchboard is still pending for emulator canary so you will still have to deploy those yourself on those networks network contract address emulator canary 0xee82856bf20e2aa6 testnet 0x9a0766d93b6608b7 sandboxnet 0xe20612a0776ca4bf mainnet 0xf233dcee88fe0abe basics of the standard the code for the standard is in contracts fungibletoken cdc an example implementation of the standard that simulates what a simple token would be like is in contracts exampletoken cdc the exact smart contract that is used for the official flow network token is in contracts flowtoken cdc example transactions that users could use to interact with fungible tokens are located in the transactions directory these templates are mostly generic and can be used with any fungible token implementation by providing the correct addresses names and values the standard consists of a contract interface called fungibletoken that requires implementing contracts to define a vault resource that represents the tokens that an account owns each account that owns tokens will have a vault stored in its account storage users call functions on each other s vault s to send and receive tokens right now we are using unsigned 64 bit fixed point numbers ufix64 as the type to represent token balance information this type has 8 decimal places and cannot represent negative numbers core features all contained in the main fungibletoken interface 1 getting metadata for the token smart contract via the fields of the contract pub var totalsupply ufix64 the only required field of the contract it would be incremented when new tokens are minted and decremented when they are destroyed event that gets emitted when the contract is initialized pub event tokensinitialized initialsupply ufix64 2 retrieving the token fields of a vault in an account that owns tokens balance interface pub var balance ufix64 the only required field of the vault type 3 withdrawing a specific amount of tokens amount using the withdraw function of the owner s vault provider interface pub fun withdraw amount ufix64 fungibletoken vault conditions the returned vault s balance must equal the amount withdrawn the amount withdrawn must be less than or equal to the balance the resulting balance must equal the initial balance amount users can give other accounts a reference to their vault cast as a provider to allow them to withdraw and send tokens for them a contract can define any custom logic to govern the amount of tokens that can be withdrawn at a time with a provider this can mimic the approve transferfrom functionality of erc20 withdraw event indicates how much was withdrawn and from what account the vault is stored in if the vault is not in account storage when the event is emitted from will be nil pub event tokenswithdrawn amount ufix64 from address 4 depositing a specific amount of tokens from using the deposit function of the recipient s vault receiver interface pub fun deposit from fungibletoken vault conditions from balance must be non zero the resulting balance must be equal to the initial balance the balance of from deposit event indicates how much was deposited and to what account the vault is stored in if the vault is not in account storage when the event is emitted to will be nil pub event tokensdeposited amount ufix64 to address users could create custom receiver s to trigger special code when transfers to them happen like forwarding the tokens to another account splitting them up and much more it is important that if you are making your own implementation of the fungible token interface that you cast the input to deposit as the type of your token let vault from as exampletoken vault the interface specifies the argument as fungibletoken vault any resource that satisfies this can be sent to the deposit function the interface checks that the concrete types match but you ll still need to cast the vault before storing it 5 creating an empty vault resource pub fun createemptyvault fungibletoken vault defined in the contract to create an empty vault the caller calls the function in the contract and stores the vault in their storage conditions the balance of the returned vault must be 0 6 destroying a vault if a vault is explicitly destroyed using cadence s destroy keyword the balance of the destroyed vault must be subtracted from the total supply 7 standard for token metadata not sure what this should be yet could be a dictionary could be an ipfs hash could be json etc need suggestions comparison to similar standards in ethereum this spec covers much of the same ground that a spec like erc 20 covers but without most of the downsides tokens cannot be sent to accounts or contracts that don t have owners or don t understand how to use them because an account has to have a vault in its storage to receive tokens no safetransfer is needed if the recipient is a contract that has a stored vault the tokens can just be deposited to that vault without having to do a clunky approve transferfrom events are defined in the contract for withdrawing and depositing so a recipient will always be notified that someone has sent them tokens with the deposit event the approve transferfrom pattern is not included so double spends are not permitted transfers can trigger actions because users can define custom receivers to execute certain code when a token is sent cadence integer types protect against overflow and underflow so a safemath equivalent library is not needed ft metadata ft metadata is represented in a flexible and modular way using both the standard proposed in flip 0636 https github com onflow flips blob main application 20210916 nft metadata md and the standard proposed in flip 1087 https github com onflow flips blob main application 20220811 fungible tokens metadata md when writing an nft contract you should implement the metadataviews resolver contracts utility metadataviews cdc l20 l23 interface which allows your vault resource to implement one or more metadata types called views views do not specify or require how to store your metadata they only specify the format to query and return them so projects can still be flexible with how they store their data fungible token metadata views the example token contract contracts exampletoken cdc defines three new views that can used to communicate any fungible token information 1 ftview a view that wraps the two other views that actually contain the data 1 ftdisplay the view that contains all the information that will be needed by other dapps to display the fungible token name symbol description external url logos and links to social media 1 ftvaultdata the view that can be used by other dapps to interact programmatically with the fungible token providing the information about the public and private paths used by default by the token the public and private linked types for exposing capabilities and the function for creating new empty vaults you can use this view to setup an account using the vault stored in other account without the need of importing the actual token contract transactions setup account from vault reference cdc how to implement metadata the example token contract contracts exampletoken cdc shows how to implement metadata views for fungible tokens how to read metadata in this repository you can find examples on how to read metadata accessing the exampletoken display name symbol logos etc and its vault data paths linked types and the method to create a new vault first step will be to borrow a reference to the token s vault stored in some account cadence let vaultref account getcapability exampletoken vaultpublicpath borrow metadataviews resolver panic could not borrow a reference to the vault resolver latter using that reference you can call methods defined in the fungible token metadata views contract contracts fungibletokenmetadataviews cdc that will return you the structure containing the desired information cadence let ftview fungibletokenmetadataviews getftview viewresolver vaultref alternatively you could call directly the resolveview view type anystruct method on the exampletoken vault but the getftview viewresolver metadataviews resolver ftview getftdisplay viewresolver metadataviews resolver ftdisplay and getftvaultdata viewresolver metadataviews resolver ftvaultdata defined on the fungiblemetadataviews contract will ease the process of dealing with optional types when retrieving this views finally you can return the whole of structure or just log some values from the views depending on what you are aiming for cadence return ftview cadence when you retrieve a ftview both the ftdisplay and the ftvaultdata views contained on it are optional values meaning that the token could not be implementing then log ftview ftdisplay symbol bonus features minting and burning are not included in the standard but are included in the flowtoken example contract to illustrate what minting and burning might look like for a token in flow 8 minting or burning a specific amount of tokens using a specific minter resource that an owner can control mintandburn resource function to minttokens tokens minted event each minter has a set amount of tokens that they are allowed to mint this cannot be changed and a new minter needs to be created to add more allowance function to burntokens tokens burnt event each time tokens are minted or burnt that value is added or subtracted to or from the total supply the following features could each be defined as a separate interface it would be good to make standards for these but not necessary to include in the main standard interface and are not currently defined in this example 9 withdrawing a specific amount of tokens from someone else s vault by using their provider reference approved withdraw event providing a resource that only approves an account to send a specific amount per transaction or per day month etc returning the amount of tokens that an account can send for another account reading the balance of the account that you have permission to send tokens for owner is able to increase and decrease the approval at will or revoke it completely this is much harder than anticipated 11 pausing token transfers maybe a way to prevent the contract from being imported 12 cloning the token to create a new token with the same distribution 13 restricted ownership for accredited investors and such allowlisting denylisting how to use the fungible token contract to use the flow token contract as is you need to follow these steps 1 if you are using the playground you need to deploy the fungibletoken definition to account 1 yourself and import it in exampletoken it is a pre deployed interface in the emulator testnet and mainnet and you can import definition from those accounts 0xee82856bf20e2aa6 on emulator 0x9a0766d93b6608b7 on testnet 0xf233dcee88fe0abe on mainnet 2 deploy the exampletoken definition 3 you can use the get balance cdc or get supply cdc scripts to read the balance of a user s vault or the total supply of all tokens respectively 4 use the setupaccount cdc on any account to set up the account to be able to use flowtokens 5 use the transfer tokens cdc transaction file to send tokens from one user with a vault in their account storage to another user with a vault in their account storage 6 use the mint tokens cdc transaction with the admin account to mint new tokens 7 use the burn tokens cdc transaction with the admin account to burn tokens 8 use the create minter cdc transaction to create a new mintandburn resource and store it in a new admin s account fungible token switchboard fungibletokenswitchboard cdc allows users to receive payments in different fungible tokens using a single fungibletoken receiver placed in a standard receiver path public genericftreceiver how to use it users willing to use the fungible token switchboard will need to setup their accounts by creating a new fungibletokenswitchboard switchboard resource and saving it to their accounts at the fungibletokenswitchboard storagepath path this can be accomplished by executing the transaction found in this repository transactions switchboard setup account cdc this transaction will create and save a switchboard resource to the signer s account and it also will create the needed public capabilities to access it after setting up their switchboard in order to make it support receiving a certain token users will need to add the desired token s receiver capability to their switchboard resource adding a new vault to the switchboard when a user wants to receive a new fungible token through their switchboard they will need to add a new public capability linked to said ft to their switchboard resource this can be accomplished in two different ways 1 adding a single capability using addnewvault capability capability fungibletoken receiver before calling this method on a transaction you should first retrieve the capability to the token s vault you are willing to add to the switchboard as is done in the template transaction transactions switchboard add vault capability cdc cadence transaction let exampletokenvaultcapabilty capability fungibletoken receiver let switchboardref fungibletokenswitchboard switchboard prepare signer authaccount get the example token vault capability from the signer s account self exampletokenvaultcapability signer getcapability fungibletoken receiver exampletoken receiverpublicpath get a reference to the signers switchboard self switchboardref signer borrow fungibletokenswitchboard switchboard from fungibletokenswitchboard storagepath panic could not borrow reference to switchboard execute add the capability to the switchboard using addnewvault method self switchboardref addnewvault capability self exampletokenvaultcapability this function will panic if is not possible to borrow a reference to a fungibletoken receiver from the passed capability it will also panic if there is already a capability stored for the same type of resource exposed by the capability 2 adding one or more capabilities using the paths where they are stored using addnewvaultsbypath paths publicpath address address when using this method an array of publicpath objects should be passed along with the address of the account from where the vaults capabilities should be retrieved cadence transaction address address let exampletokenvaultpath publicpath let vaultpaths publicpath let switchboardref fungibletokenswitchboard switchboard prepare signer authaccount get the example token vault path from the contract self exampletokenvaultpath exampletoken receiverpublicpath and store it in the array of public paths that will be passed to the switchboard method self vaultpaths self vaultpaths append self exampletokenvaultpath get a reference to the signers switchboard self switchboardref signer borrow fungibletokenswitchboard switchboard from fungibletokenswitchboard storagepath panic could not borrow reference to switchboard execute add the capability to the switchboard using addnewvault method self switchboardref addnewvaultsbypath paths self vaultpaths address address this function won t panic instead it will just not add to the switchboard any capability which can not be retrieved from any of the provided publicpath s it will also ignore any type of fungibletoken receiver that is already present on the switchboard 3 adding a capability to a receiver specifying which type of token will be deposited there using addnewvaultwrapper capability capability fungibletoken receiver type type this method can be used to link a token forwarder or any other wrapper to the switchboard once the forwarder has been properly created containing the capability to an actual fungibletoken vault this method can be used to link the forwarder to the switchboard to deposit the specified type of fungible token in the template transaction switchboard add vault wrapper capability cdc we assume that the signer has a forwarder containing a capability to an exampletoken vault resource cadence transaction let tokenforwardercapability capability fungibletoken receiver let switchboardref fungibletokenswitchboard switchboard prepare signer authaccount get the token forwarder capability from the signer s account self tokenforwardercapability signer getcapability fungibletoken receiver exampletoken receiverpublicpath check if the receiver capability exists assert self tokenforwardercapability check message signer does not have a working fungible token receiver capability get a reference to the signers switchboard self switchboardref signer borrow fungibletokenswitchboard switchboard from fungibletokenswitchboard storagepath panic could not borrow reference to switchboard execute add the capability to the switchboard using addnewvault method self switchboardref addnewvaultwrapper capability self tokenforwardercapability type type exampletoken vault removing a vault from the switchboard if a user no longer wants to be able to receive deposits from a certain ft or if they want to update the provided capability for one of them they will need to remove the vault from the switchboard this can be accomplished by using removevault capability capability fungibletoken receiver this can be observed in the template transaction transactions switchboard remove vault capability cdc cadence transaction let exampletokenvaultcapabilty capability fungibletoken receiver let switchboardref fungibletokenswitchboard switchboard prepare signer authaccount get the example token vault capability from the signer s account self exampletokenvaultcapability signer getcapability fungibletoken receiver exampletoken receiverpublicpath get a reference to the signers switchboard self switchboardref signer borrow fungibletokenswitchboard switchboard from fungibletokenswitchboard storagepath panic could not borrow reference to switchboard execute remove the capability from the switchboard using the removevault method self switchboardref removevault capability self exampletokenvaultcapability this function will panic if is not possible to borrow a reference to a fungibletoken receiver from the passed capability transferring tokens through the switchboard the fungible token switchboard provides two different ways of depositing tokens to it using the deposit from fungibletoken vault method enforced by the fungibletoken receiver or using the safedeposit from fungibletoken vault fungibletoken 1 using the first method will be just the same as depositing to fungibletoken receiver the path for the switchboard receiver is defined in fungibletokenswitchboard receiverpublicpath the generic receiver path public genericftreceiver that can also be obtained from the nft metadataviews contract an example of how to do this can be found in the transaction template on this repo transactions switchboard transfer tokens cdc cadence transaction to address amount ufix64 the vault resource that holds the tokens that are being transferred let sentvault fungibletoken vault prepare signer authaccount get a reference to the signer s stored vault let vaultref signer borrow exampletoken vault from exampletoken vaultstoragepath panic could not borrow reference to the owner s vault withdraw tokens from the signer s stored vault self sentvault vaultref withdraw amount amount execute get the recipient s public account object let recipient getaccount to get a reference to the recipient s switchboard receiver let switchboardref recipient getcapability fungibletokenswitchboard receiverpublicpath borrow fungibletoken receiver panic could not borrow receiver reference to switchboard deposit the withdrawn tokens in the recipient s switchboard receiver switchboardref deposit from self sentvault 2 the safedeposit from fungibletoken vault fungibletoken works in a similar way with the difference that it will not panic if the desired ft vault can not be obtained from the switchboard the method will return the passed vault empty if the funds were deposited successfully or still containing the funds if the transfer of the funds was not possible keep in mind that when using this method on a transaction you will always have to deal with the returned resource an example of this can be found on transactions switchboard safe transfer tokens cdc cadence transaction to address amount ufix64 the reference to the vault from the payer s account let vaultref exampletoken vault the vault resource that holds the tokens that are being transferred let sentvault fungibletoken vault prepare signer authaccount get a reference to the signer s stored vault self vaultref signer borrow exampletoken vault from exampletoken vaultstoragepath panic could not borrow reference to the owner s vault withdraw tokens from the signer s stored vault self sentvault self vaultref withdraw amount amount execute get the recipient s public account object let recipient getaccount to get a reference to the recipient s switchboard receiver let switchboardref recipient getcapability fungibletokenswitchboard publicpath borrow fungibletokenswitchboard switchboard fungibletokenswitchboard switchboardpublic panic could not borrow receiver reference to switchboard deposit the withdrawn tokens in the recipient s switchboard receiver then deposit the returned vault in the signer s vault self vaultref deposit from switchboardref safedeposit from self sentvault running automated tests you can find automated tests in the lib go test token test go file it uses the transaction templates that are contained in the lib go templates transaction templates go file currently these rely on a dependency from a private dapper labs repository to run so external users will not be able to run them we are working on making all of this public so anyone can run tests but haven t completed this work yet license the works in these folders are under the unlicense https github com onflow flow ft blob master license contracts https github com onflow flow ft blob master contracts | blockchain smart-contracts linear-types fungible-tokens onflow | blockchain |
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Ball-and-Plate | ball and plate this project s goal was the design and implementation of a 2 degree of freedom ball and plate system this system s goal is to use real time control systems and embedded microcontrollers to balance a ball on a flat plate the project was proposed and implemented as part of the sfu class real time and embedded control systems mse 450 the project used pid feedback controllers to control the pitch and roll of the platform to provide control of the ball s position a resistive touch screen was used for position feedback and two low cost hobby servos were used for platform actuation the controller was implemented in c on a texas instruments tiva c microcontroller ek tm4c123gxl the mechanical structure was designed using solidworks and 3d printed on an inexpensive prusa i3 clone youtube video https youtu be pifmw o9dig | os |
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NativeScript-for-Angular-Mobile-Development | nativescript for angular mobile development this is the code repository for nativescript for angular mobile development https www packtpub com web development nativescript angular mobile development utm source github utm medium repository utm campaign 9781787125766 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 nativescript is an open source framework to build truly native mobile apps with angular typescript or even good ole plain javascript the most important aspect is that it allows your views to be rendered as real native ui components native to ios or android which offer superior performance with fluid usability this decoupling of the view rendering layer created the powerful combination that is the exciting new world of angular native this book focuses on the key concepts you need to know to build an angular native mobile app for ios and android we ll build a fun music app ngnativemusic touching on the powerful native key concepts you need to know when you start building an app of your own having the right structure is critical to developing an app that can scale while also being highly maintainable and portable so we ll start with project organization via ngmodule we ll use component to build our first view and then use injectable to define a service we can use via angular s dependency injection you ll understand nativescript s tns command line utility to run the app on ios and android we ll integrate third party plugins to construct some of the core features next we ll integrate ngrx store effects to establish some solid practices redux to deal with state management having a great data flow and solid architecture is meaningless if the app doesn t look good or offer a great user experience so we ll use sass to develop a style for our app after that we ll deal with and debug problems and invest some time into writing tests to prevent bugs in the future lastly we ll package and deploy our app to the apple app store and google play by the end of the book you ll know the majority of the key concepts needed to build an angular native app instructions and navigation all of the code is organized into folders each folder starts with a number followed by the application name for example chapter02 the code will look like the following default public init const item item volume 1 related products react native building mobile apps with javascript https www packtpub com application development react native building mobile apps javascript utm source github utm medium repository utm campaign 9781787282537 getting started with nativescript https www packtpub com web development getting started nativescript utm source github utm medium repository utm campaign 9781785888656 mastering angularjs for net developers https www packtpub com web development mastering angularjs net developers utm source github utm medium repository utm campaign 9781783553983 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 9781787125766 https packt link free ebook 9781787125766 a p | front_end |
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qui | p align center img src readme assets qui logo svg raw true p p align center class unchanged rich diff level one badges span class badge shields a href https qvant lab github io qui title storybook img src https img shields io badge storybook yes green svg alt storybook a span span class badge shields img src https img shields io badge responsive yes green svg span span class badge npmversion a href https npmjs org package qvant qui title view this project on npm img src https img shields io npm v qvant qui svg alt npm version a span span class badge npmdownloads a href https npmjs org package qvant qui title view this project on npm img src https img shields io npm dm qvant qui svg alt npm downloads a span span badges p a vue js neumorphism design system for web responsive user friendly and lightweight library helping us build great products for our customers this library for vue 2 x currently we are working on qui max https github com qvant lab qui max for vue 3 x it is more complex and modern version of qui we recommend use it instead of this package qui remains for vue 2 x but we can t claim it will be supported well storybook live demo https qvant lab github io qui what is it 30 vue components icons pack colors grid neumorphism styles storybook sandbox some examples below buttons readme assets buttons jpg raw true inputs readme assets inputs gif raw true icons readme assets icons gif raw true tables readme assets tables jpg raw true datepicker readme assets datepicker jpg raw true other readme assets other jpg raw true install cdn html import css link rel stylesheet href https unpkg com qvant qui dist qui css import javascript script src https unpkg com qvant qui dist qui umd min js script npm yarn bash npm install qvant qui s yarn add qvant qui you can import qui entirely or just import what you need let s start with fully import quick setup in main js js import vue from vue import qui from qvant qui import qvant qui dist qui css setup all components vue use qui that s it all components will be imported with styles in yourcomponent vue example vue template q input v model value template script export default data return value mounted the modals have shortcuts in your components this notify calls qnotification this message calls qmessagebox this dialog calls qdialog script or configure quick setup in main js js import vue from vue import qui from qvant qui import qvant qui dist qui css vue use qui localization locale en russian language by default you can set en for english customi18nmessages rewrite default texts see the source src qcomponents constants locales en qdatepicker placeholder pick your birthday zindexcounter 3000 zindexcounter is being used by some components e g qpopover qselect qdialog etc 2000 by default prefix yo you can change component s prefix e g must be used yo input instead of q input in yourcomponent vue example vue template placeholder is changed on pick your birthday yo datepicker v model value type date template script export default data return value null script now you have implemented vue and qui to your project and it s time to write your code please refer to each component s stories https qvant lab github io qui to learn how to use them not quick setup if you have a module bundler e g webpack you can import components separately and take care about your bundle size in main js js import the main plugin from another place it ensures qui will be installed without any components but instance will set required properties and directives import qui from qvant qui src ondemand import the component you want import qbutton from qvant qui src qcomponents qbutton or in async way vue component q button import webpackchunkname qui qvant qui src qcomponents qbutton init vue use qui vue use qbutton in main scss scss need to set the path for files with statics base path qvant qui src set main styles import qvant qui src main scss notice that you must use fonts and icons styles for some of components import qvant qui src fonts index scss import qvant qui src icons index scss import all styles scss import qvant qui src components scss or components separately scss import qvant qui src qcomponents qbreadcrumbs src q breadcrumbs scss import qvant qui src qcomponents qbutton src q button scss etc optional if you want use modals inside your components as property of this js import qmessagebox qdialog qnotification from qvant qui or import separately import qmessagebox from qvant qui src qcomponents qmessagebox import qdialog from qvant qui src qcomponents qdialog import qnotification from qvant qui src qcomponents qnotification vue prototype message qmessagebox vue prototype dialog qdialog vue prototype notify options qnotification duration 3000 ms options if you use vuei18n you need to merge messages js import vuei18n from vue i18n import en ru from qvant qui src qcomponents constants locales vue use vuei18n const messages en message hello hello world en ru message hello ru const i18n new vuei18n locale en messages new vue i18n mount your app supported languages russian english also you can use any language by setting texts for components via customi18nmessages property in the qui instance see the example above browser support modern browsers are recomended safari 11 chrome 61 firefox 58 opera 62 edge 16 yandex 18 ie we don t know and will not support it development clone repository and run storybook bash yarn storybook npm run storybook license mit | vue components design-system ui storybook qui | os |
demo_gcp_data_engineering_class | demo for data engineering on google cloud class this repository contain demo for data engineering on google cloud class day 1 modernizing data lakes and data warehouses with google cloud day 2 building batch data pipelines on google cloud day 3 building resilient streaming analytics systems on google cloud day 4 smart analytics machine learning and ai on google cloud | cloud |
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