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Mastering-Full-Stack-React-Web-Development | mastering full stack react web development this is the code repository for mastering full stack react web development https www packtpub com web development mastering full stack react web development utm source github utm medium repository utm campaign 9781786461766 published by packt www packtpub com it contains all the supporting project files necessary to work through the book from start to finish about the book full stack web development is being redefined by the impact of reactjs if mean demonstrated just how effective combining javascript frameworks and tools could be for the modern web developer by replacing angular with react developers have an easier way to build isomorphic web applications where code can run on both the client and server this book will get you up to speed with one of the latest strategies to meet the demands of today s dynamic and data intensive web combining detailed insights and guidance with practical and actionable information that will ensure you can build a complete isomorphic web app it s an essential resource for the forward thinking developer you ll learn how to create a reliable and powerful back end platform with node js and express as well as exploring how to use mongodb as the primary database you ll see how its flexibility is a core part of any full stack developer s workflow as well as learning how to use mongoose alongside it to make data storage safer and more reliable instructions and navigations 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 articleid 987654 articletitle lorem ipsum article one articlecontent here goes the content of the article articleid 123456 articletitle lorem ipsum article two articlecontent sky is the limit the content goes here related products meteor full stack web application development https www packtpub com web development meteor full stack web application development utm source github utm medium repository utm campaign 9781787287754 learning full stack react video https www packtpub com web development learning full stack react video utm source github utm medium repository utm campaign 9781787121348 mastering mean web development expert full stack javascript video https www packtpub com web development mastering mean web development expert full stack javascript video utm source github utm medium repository utm campaign 9781785882159 suggestions and feedback click here https docs google com forms d e 1faipqlse5qwunkgf6puvzpirpdtuy1du5rlzew23ubp2s p3wb gcwq viewform if you have any feedback or suggestions | front_end |
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lorawan_esp32_gw | lorawan esp32 gw lorawan gateway on esp32 rtos with semtech sx1276 platine de mise au point avev un esp32 connect un module semtech sx1276 p align center img src image proto jpg width 800 p | os |
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clarity-seed | clarity logo png the clarity seed is deprecated we highly recommend that all angular projects use the cli because we ll also work on supporting migration features which will make it easier to keep clarity and angular up to date to integrate clarity in a new app follow these steps 1 generate a new angular application if you haven t already ng new my app 2 navigate to the directory cd my app 3 run the ng add command for clarity ng add clr angular if you already have an angular application and want to add clarity to it there is only one thing to do ng add clr angular clarity seed this is a seed project for angular 2 applications using clarity https github com vmware clarity for more information on the clarity design system visit the clarity website https vmware github io clarity we offer this seed project in three different build systems 1 angular cli version branch master 2 webpack 2 version branch webpack 3 systemjs version branch systemjs getting started angular cli version this seed version provides the following out of the box angular 2 application with clr icons https www npmjs com package clr icons clr ui https www npmjs com package clr ui and clr angular https www npmjs com package clr angular included development and production builds unit test setup with jasmine and karma end to end test setup with protractor sass processor tslint and other goodies that come with angular cli https github com angular angular cli generating and serving an angular2 project via a development server v1 0 0 beta 20 4 installation prerequisite please install angular cli by following these instructions https github com angular angular cli installation note even though it s optional we recommend you to use yarn https yarnpkg com instead of npm install for installing the dependencies bash git clone https github com vmware clarity seed git cd clarity seed install the project s dependencies yarn or run npm install starts the application in dev mode and watches your files for livereload ng serve using angular cli bash generating a new component ng g component my new component generating a new directive ng g directive my new directive to learn more about angular cli commands and their usages ng help for comprehensive documentation on angular cli please see their github repository https github com angular angular cli test and build scripts bash running unit tests ng test running e2e tests ng e2e dev build ng build prod build ng build prod documentation for documentation on the clarity design system including a list of components and example usage see our website https vmware github io clarity directory structure readme md karma conf js configuration of the test runner package json dependencies of the project protractor config js e2e tests configuration src source code of the application app component component component html component component scss component component spec ts component component ts app component html app component scss app component ts app e2e spec js sample e2e spec file app module ts app routing ts main ts boostrap file for the angular app index html angular cli json configuration of the angular cli tsconfig json configuration of the typescript project tslint json sample configuration file for tslint yarn lock contributing the clarity project team welcomes contributions from the community for more detailed information see contributing md contributing md license the clarity seed project is licensed under the mit license feedback if you find a bug or want to request a new feature please open a github issue https github com vmware clarity seed issues | os |
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patata | build status travis image travis url coverage status coveralls image coveralls url npm version npm image npm url js standard style standard image standard url what is patata patata is a project to help you to automate ui testing of native apps it uses cucumber and appium to make the process as approachable as possible it uses behavioral driven development as technique to test our products separating what is specific for a platform to what is specific for our tests its goal is the reusability where specifications can be shared between different project in an organization for instance having a the product implemented on ios and android and sharing the same testing code for all of them where is the documentation the documentation was growing and it has been moved to a github page http patata io patata url documentation screenshot doc image patata url travis url https travis ci org eridem patata travis image https img shields io travis eridem patata master svg standard url http standardjs com standard image https img shields io badge code 20style standard brightgreen svg npm url https www npmjs com package patata npm image https img shields io npm v patata svg patata image https img shields io badge automation patata orange svg patata url https github com eridem patata coveralls image https coveralls io repos github eridem patata badge svg branch master coveralls url https coveralls io github eridem patata branch master doc image https github com eridem patata raw master doc web screenshot png patata url http patata io | appium bdd android ios test-automation | front_end |
hackme | hackme sandbox for ios reverse engineering | os |
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practical-natural-language-processing-python | apress source code this repository accompanies practical natural language processing with python https www apress com 9781484262450 by mathangi sri apress 2021 comment cover cover image 9781484262450 jpg download the files as a zip using the green button or clone the repository to your machine using git releases release v1 0 corresponds to the code in the published book without corrections or updates contributions see the file contributing md for more information on how you can contribute to this repository | ai |
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Mobile-Development-with-.NET-Second-Edition | mobile development with net second edition a href https www packtpub com product mobile development with net second edition 9781800204690 utm source github utm medium repository utm campaign 9781800204690 img src https static packt cdn com products 9781800204690 cover smaller alt mobile development with net second edition height 256px align right a this is the code repository for mobile development with net second edition https www packtpub com product mobile development with net second edition 9781800204690 utm source github utm medium repository utm campaign 9781800204690 published by packt build cross platform mobile applications with xamarin forms 5 and asp net core 5 what is this book about the net 5 framework is a unified framework with capabilities that enable you to use microsoft s developer ecosystem on a single platform xamarin used for developing mobile applications is one of the app model implementations for net core infrastructure this book covers the following exciting features discover the latest features of net 5 which can be used in mobile application development explore xamarin forms shell for building cross platform mobile uis understand the technical requirements of a consumer mobile app for your app design focus on advanced concepts in mobile development such as app data management push notifications and graph apis manage app data with entity framework core use microsoft s project rome for creating cross device experiences with xamarin become well versed with how to implement machine learning in your mobile apps if you feel this book is for you get your copy https www amazon com dp 1800204698 today a href https www packtpub com utm source github utm medium banner utm campaign githubbanner img src https raw githubusercontent com packtpublishing github master github png alt https www packtpub com border 5 a instructions and navigations all of the code is organized into folders for example chapter01 the code will look like the following static char numberchars new 0 1 2 3 4 5 6 7 8 9 static char opchars new static void main string args var calculator new calculator calculator resultchanged result console clear console writeline environment newline result todo get input following is what you need for this book this book is for asp net core developers who want to get started with mobile development using xamarin and other microsoft technologies working knowledge of c programming is necessary to get started with the following software and hardware list you can run all code files present in the book chapter 1 18 software and hardware list chapter software required os required 1 18 net 5 0 and above windows mac os x and linux any 1 18 xamarin forms 5 0 windows mac os x and linux any 1 18 python windows mac os x and linux any 1 18 docker mac os x and linux any 1 18 visual studio windows mac os x and linux any 7 18 microsoft azure free trial windows related products other books you may enjoy asp net core 5 and react second edition packt https www packtpub com product asp net core 5 and react second edition 9781800206168 utm source github utm medium repository utm campaign 9781800206168 amazon https www amazon com dp 180020616x customizing asp net core 5 0 packt https www packtpub com product customizing asp net core 5 0 9781801077866 utm source github utm medium repository utm campaign 9781801077866 amazon https www amazon com dp 180107786x get to know the author can bilgin is a solution architect working for authority partners inc he has been working in the software industry for almost two decades on various consumer and enterprise level engagements for high profile clients using technologies such as biztak service fabric orleans dynamics crm xamarin wcf azure services and other web cloud technologies his passion lies in mobile and iot development using modern tools available to developers he shares his experience on his blog on social media and through speaking engagements at local and international community events he was recognized as a microsoft mvp for his technical contributions between 2014 and 2018 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 9781800204690 https packt link free ebook 9781800204690 a p | front_end |
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udacity-project-2 | udagram image filtering microservice udagram is a simple cloud application developed alongside the udacity cloud engineering nanodegree it allows users to register and log into a web client post photos to the feed and process photos using an image filtering microservice the project is split into three parts 1 the simple frontend https github com udacity cloud developer tree master course 02 exercises udacity c2 frontend a basic ionic client web application which consumes the restapi backend covered in the course 2 the restapi backend https github com udacity cloud developer tree master course 02 exercises udacity c2 restapi a node express server which can be deployed to a cloud service covered in the course 3 the image filtering microservice https github com udacity cloud developer tree master course 02 project image filter starter code the final project for the course it is a node express application which runs a simple script to process images your assignment tasks setup node environment you ll need to create a new node server open a new terminal within the project directory and run 1 initialize a new project npm i 2 run the development server with npm run dev create a new endpoint in the server ts file the starter code has a task for you to complete an endpoint in src server ts which uses query parameter to download an image from a public url filter the image and return the result we ve included a few helper functions to handle some of these concepts and we re importing it for you at the top of the src server ts file typescript import filterimagefromurl deletelocalfiles from util util deploying your system follow the process described in the course to eb init a new application and eb create a new environment to deploy your image filter service don t forget you can use eb deploy to push changes stand out optional refactor the course restapi if you re feeling up to it refactor the course restapi to make a request to your newly provisioned image server authentication prevent requests without valid authentication headers note if you choose to submit this make sure to add the token to the postman collection and export the postman collection file to your submission so we can review custom domain name add your own domain name and have it point to the running services try adding a subdomain name to point to the processing server note domain names are not included in aws free tier and will incur a cost | cloud |
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MotazKaoud-fwdAdvancedEmbedded-Project3_EmbeddedSoftwareDesign | motazkaoud fwdadvancedembedded project3 embeddedsoftwaredesign embedded system design for two ecus communicating together to control car lights according to door state light switch state and car speed state html head meta http equiv content type content text html charset utf 8 meta name generator content cherrytree link rel stylesheet href res styles4 css type text css head body div class page strong h1 automotive door control system design h1 strong br br em span style text decoration underline disclaimer this project is part of quot advanced embedded systems quot nanodegree attended at udacity and fwd program span em br br h2 project mission h2 in the automotive industry ecus are communicating together to provide safety and driver 39 s comfort ecus are microcontrollers connected with input and output devices input devices to sense the surrounding environments and output devices to perform actions according to readings that came from input devices br the project aims to build two ecus communicating together to control car lights according to door state light switch state and car speed state br br br h2 project components h2 h3 1 system schematic for mentioned system requirements h3 strong hardware system requirements strong br two microcontrollers connected via can bus br one door sensor d br one light switch l br one speed sensor s br ecu 1 connected to d s and l all input devices br two lights right rl and left ll br one buzzer b br ecu 2 connected to rl ll and b all output devices br br strong software requirements strong br ecu 1 will send status messages periodically to ecu 2 through the can protocol br status messages will be sent using basic communication module bcm br door state message will be sent every 10ms to ecu 2 br light switch state message will be sent every 20ms to ecu 2 br speed state message will be sent every 5ms to ecu 2 br each ecu will have an os and application sw components br if the door is opened while the car is moving buzzer on lights off br if the door is opened while the car is stopped buzzer off lights on br if the door is closed while the lights were on lights are off after 3 seconds br if the car is moving and the light switch is pressed buzzer off lights on br if the car is stopped and the light switch is pressed buzzer on lights on br br h3 2 static design analysis h3 strong for ecu1 amp ecu2 provided the strong br system layered architecture design br ecu components and modules br full detailed apis for each module br system project folder structure according to the previous points br br h3 3 dynamic design analysis h3 strong for ecu1 amp ecu2 provided the strong br state machine diagram for the ecu component br state machine diagram for the ecu operation br sequence diagram for the ecu br cpu load for the ecu calculated br br strong for the system provide the strong br bus load in the system calculated with what percentage of system bus was busy per 1 second br br br br em repo contains an illustrating videos for the system design in arabic em br div body html | dynamic-design statemachine ststic-design flowchart-diagrams layered-architecture sequence-diagram | os |
betterfund-crowdfunding-in-blockchain | betterfund crowdfunding platform powered by ethereum blockchain the platform is live on rinkeby test network and available to use at betterfund vercel app https betterfund vercel app problem statement and necessity crowdfunding is one of the most popular ways to raise funds for any project cause or for helping any individual in need with the onset of covid we have seen a rise in crowdfunding activities across the globe which includes small campaigns to help people get oxygen and medical help to large funds such as pm cares the major problems with the current crowdfunding platforms that we wanted to solve were security as the funds become larger they need to be heavily secure although stringent measures such as symmetric encryption are in place to make e payment safe and secure it is still vulnerable to hacking blockchain which has never been compromised yet can provide that level of security transparency and anti fraud we have seen and continue to see a lot of crowdfunding scams happening around there is no way to see where the funds are being used we wanted to make the entire flow of funds transparent at every stage so that there is no possibility of the money being misused global contribution with some of the platforms being country specific it becomes hard for people from other countries to contribute to various campaigns using blockchain anyone in the world can contribute to the campaign transactions are quick and convenient we were highly inspired by the cryptorelief initiative www cryptorelief in https www cryptorelief in which raised 1 billion dollars for covid relief in india from the entire global community in a highly transparent manner detailed report and ppt a detailed report of the project can be found here https docs google com document d 1 cdj5peimtrejdsbnq9ze6kz2bckj6qtiikqws0rglc edit usp sharing a presentation on the application can be found here https docs google com presentation d 1x5cmpb mece3c7ni5dvb7etkjjbn0e70ny3pjvzn5ho edit usp sharing screenshots home page image https user images githubusercontent com 49694914 119785319 ba2cf580 beec 11eb 92f4 73c5d686e058 png campaign page image https user images githubusercontent com 49694914 119785442 d2047980 beec 11eb 8cfd ac246582a4af png create campaign page image https user images githubusercontent com 49694914 119785522 e47eb300 beec 11eb 88f8 8cc65a7c42ec png withdrawal request page image https user images githubusercontent com 49694914 119785617 ff512780 beec 11eb 961a b7857665f031 png new withdrawal request page image https user images githubusercontent com 49694914 119785671 0d06ad00 beed 11eb 9554 6786c58cc19d png tech stack next js chakra ui solidity web3 js to run the application locally fork the project run yarn install to install all the dependencies run yarn dev to run the application locally prerequisites to create campaign and contribute 1 install metamask as google chrome extension and create an account 2 request ether by sharing your ethereum address in social media br https faucet rinkeby io 3 get 0 01 ether free by giving the ethereum address br http rinkeby faucet com to deploy your own contract 1 create an account in https infura io https infura io 2 create env file in ethereum directory and add these line to it mnemonic your mnemonic code br link your infura end point link 3 do the changes that you want to do inside the solidity file 4 compile the contract node compile js 5 deploy contract by going into smart contract directory and run node deploy js copy the contract deploy address and replace it in factory js file 6 replace your infura end point link in web3 js file deploy on vercel the easiest way to deploy your next js app is to use the vercel platform https vercel com new utm medium default template filter next js utm source create next app utm campaign create next app readme from the creators of next js check out our next js deployment documentation https nextjs org docs deployment for more details | blockchain crowdfunding ethereum-dapp nextjs | blockchain |
idris-vscode | idris vscode which extension should i use this extension wraps the idris ide protocol https idris2 readthedocs io en latest implementation ide protocol html which is built in to the idris compiler there is also https github com bamboo idris2 lsp vscode https github com bamboo idris2 lsp vscode which uses the idris language server https github com idris community idris2 lsp use this extension if you are using idris 1 as the language server only supports idris 2 or if the language server doesn t fit your use case for some other reason for idris 2 the language server based extension provides additional features such as semantic highlighting if you are using the latest version of idris 2 it may provide a better experience installation support for idris https www idris lang org the dependently typed functional language installation installation idris 2 idris 2 commands commands code navigation code navigation code editing code editing diagnostics diagnostics testing testing debugging debugging others others add clause add clause add missing add missing apropos apropos apropos at cursor apropos at cursor browse namespace browse namespace case split case split documentation for documentation for documentation at cursor documentation at cursor generate definition generate definition interpret selection interpret selection list metavariables list metavariables print definition print definition print definition at cursor print definition at cursor make case make case make lemma make lemma make with make with proof search proof search version version keybindings keybindings about about license license installation the plugin itself can be installed from within vscode or vscodium through the extensions panel it should come up if you search for idris the extension id is meraymond idris vscode you can also download the vsix file from the releases page https github com meraymond2 idris vscode releases on github or from the vscode marketplace https marketplace visualstudio com items itemname meraymond idris vscode or from the open vsx registry https open vsx org extension meraymond idris vscode you will need idris or idris 2 installed separately if it s not on your path you can specify the absolute path to the executable in the config the extension will not download or install anything on the user s behalf if you want to test local changes to the extension build it with npm install npm run watch then you can launch the local version with run start debugging inside vs idris 2 currently the extension will default to v1 if you want it to use idris 2 change the path in the configuration to your idris 2 binary and tick the idris 2 mode checkbox only the current version of idris 2 is supported which at the moment is 0 6 0 if you experience problems please make sure you are using the most recent version at the moment some of the ide commands haven t been implemented in idris 2 commands add clause generate the initial clause for the function definition under the cursor add missing generate pattern matches for any missing clauses for the function definition or case statement under the cursor apropos search the documentation for references to a string apropos at cursor search the documentation for references to the word under the cursor browse namespace show all declarations and sub modules for a given namespace case split split the variable under the cursor into all possible pattern matches documentation for show the documentation for a given function documentation at cursor show the documentation for the function under the cursor generate definition generate complete definition for the function definition under the cursor interpret selection interpret the highlighted code and show the result in the editor list metavariables show a list of all the holes metavariables in the current namespace print definition show the definition for a given function print definition at cursor show the definition for the function under the cursor make case turn the variable under the cursor into a case statement make lemma create a new function declaration and use it to solve the hole under the cursor make with turn the variable under the cursor into a with statement proof search solve the hole under the cursor version show the current version of idris keybindings the extension doesn t set any key bindings out of the box but here are some suggested bindings based on the atom plugin just copy them to your user keybindings json key ctrl alt a command idris addclause when editorlangid idris editortextfocus key ctrl alt b command idris browsenamespace when editorlangid idris editortextfocus key ctrl alt c command idris casesplit when editorlangid idris editortextfocus key ctrl alt d command idris docsforselection when editorlangid idris editortextfocus key ctrl alt g command idris generatedef when editorlangid idris editortextfocus key ctrl alt i command idris interpretselection when editorlangid idris editortextfocus key ctrl alt m command idris makecase when editorlangid idris editortextfocus key ctrl alt l command idris makelemma when editorlangid idris editortextfocus key ctrl alt w command idris makewith when editorlangid idris editortextfocus key ctrl alt p command idris proofsearch when editorlangid idris editortextfocus key ctrl alt t command idris typeat when editorlangid idris editortextfocus literate idris the extension should work equally well for literate idris files for idris 1 https docs idris lang org en latest tutorial miscellany html literate programming this only applies to lidr files idris 2 https idris2 readthedocs io en latest reference literate html extends this this to embedded code blocks in markdown latex and org mode files however the extension will only activate automatically for idr and lidr files in order to use it for other file types it may need be activated manually with the idris activate extension command if you have not previously opened any idris files latex and org mode are not yet implemented but markdown support is semantic highlighting the apropos browse namespace documentation and definition commands use vs s semantic highlighting api to colourise their output if you don t see any highlighting it s likely that your theme doesn t support it yet currently idris source files don t use semantic highlighting there are a few issues to work out to get it to sync with idris in a non terrible way also idris 2 does not yet return the metadata required for semantic highlighting about if you run into any problems please raise an issue or raise a pr if you want to there is not nor will there ever be telemetry in this extension though that may not apply to vs itself acknowledgments the syntax files are adapted from vscode idris s https github com zjhmale vscode idris port of the atom plugin s https github com idris hackers atom language idris grammars license mit license | front_end |
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Automated-Store-Replenishment-System | cloud computing | cloud |
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MRTOS | mrtos michigan real time operating system matt schulte mttschult umich edu mark brehob brehob umich edu source code https github com schultetwin1 mrtos git overview mrtos is the result of my eecs 499 independent study with mark brehob brehob umich edu for my last semester of undergrad at the university of michigan winter 2015 mrtos was meant to be an educational project to learn the basics of real time system design all the code for this project was written from scratch no library dependencies in order to fulfill this goal mrtos is currently written in c though future projects could port it to c d rust or other languages of choice mrtos was designed to be platform independent see the porting guide below however all my development happen on the stm32l0 which has a cortex m0 running on it development was done on the stm32l0 discovery board using the arm gnu build tools openocd was used to flash the board mrtos is a static library which will be compiled with your project the user will be able to use the threading library 3rd party drivers and virtual hardware abstractions by linking them against their source currently the makefile is setup such that whatevery files are in the prj directory are assumed to be the users source and are compiled against mrtos list of hardware stm32l0 discovery board http www st com web catalog tools fm116 sc959 ss1532 ln1848 pf260319 sc stm32l0 discovery adafruit nrf8001 ble breakout http www adafruit com products 1697 list of sofware gnu arm embedded build tools https launchpad net gcc arm embedded download openocd http openocd org getting started the following are steps to be able to build mrtos on a linux machine this can be extended to run on a mac or windows machine as well 1 install gnu arm embedded build tools 2 try compiling mrtos using the provided example just run make in the top directory 3 install openocd 4 run make flash from the top level directory to flash the board once the compilation is successful you can start using mrtos for your own projects or hack on mrtos yourself the majority of future work currently needs to happen in the src folder this is where all the platform independent rtos code exists queue c this contains template queue for mrtos queue h contains the interface the queue uses dynamic memory the is allocated from the custom and currently extremely simple allocator found in utils c task c this contains the logic for creating and running multiple threads the switch context function can be changed allowing for different types of scheduling interrupts must be setup on a board by board basis and so are configured in the port section vtimer c this contains logic to create a virtual timer in your code this code has since been integrated with task scheduling but can also be used as a standalone virtual timer all the port specific code is driver related though most of them implement a generic interface found in the include folder folder layout mrtos prj all the users source will go here src the main rtos code is here all platfrom independent code for mrtos is found here include mrtos headers to include in your project port all the platform dependent code see porting guide for more information porting guide currently can only port to arm step to port 1 take the port gcc m0 folder and make a copy 2 rewrite startup c which should setup interrupt table define the reset handler setup any global variables in the reset handler call main in the reset handler 3 rewrite port c which should define crtical start and end function calls setup interrupts for task switching setup yield functionality and starting scheduler 4 rewrite the drivers as needed 5 rewrite main ld for the ports memory layout | os |
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JsCV | jscv a javascript computer vision library homepage https github com miniflycn jscv project goals this project aims to impliment some computer vision cv algorithms using javascript hopefully at some point in future it may become something reflective of opencv http opencv org license all code inside is licensed under mit license | ai |
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MobileAppDevelopment | important files folder design pdf contains design of the app in pdf format pages are most likely out of order design xd contains the design of the app and functioning prototype you need adobe xd to use it | server |
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NLP | textclassification textclassification readme md fasttext textcnn textbirnn textbirnnatt textselfatt texttransformerencoder transformer transformer readme md tensorflow2 0 offical tutorials text transformer https www tensorflow org tutorials text transformer | ai |
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dio-blockchain-for-devs | dio blockchain for devs pr requsitos instalar o nodejs com npm https nodejs org en download instalar o vs code https code visualstudio com download download do ganache https trufflesuite com ganache instala o do metamask https chrome google com webstore detail metamask nkbihfbeogaeaoehlefnkodbefgpgknn hl en instru es o projeto clonar o reposit rio e acessar o projeto git clone https github com digitalinnovationone dio blockchain for devs git cd dio blockchain for devs instalar os pacotes do npm npm i instalar o framework truffle npm i g truffle configura es executar o ganache no metamask criar a nova carteira no metamask e salvar a seed criar uma nova rede com a rpc url http 127 0 0 1 7545 o nome e o s mbolo s o personalizadas diocoin dio importando conta do ganache no metamask selecionar a chave privada de um dos endere os no s mbolo da chave no ganache importar conta no metamask passando a chave privada compilando o contrato truffle compile deploy na blockchain truffle deploy realizando transa es ir o solicitar a aprova o da transa o no metamask | blockchain |
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docker-mysql-nodejs-reactjs-app | docker mysql node js react js app app https github com madhurajayashanka docker mysql nodejs reactjs app raw main thumbnail png docker mysql node js react js app is a comprehensive demonstration repository showcasing the capabilities of docker and docker compose with a focus on simplicity and efficiency this project illustrates the integration of docker containers for deploying a full stack application the repository features a react js frontend application where users can enter their data and submit it the submitted data is then securely transmitted to a node js backend server which processes and persists it in a mysql database by utilizing docker compose the entire application stack including the frontend backend and database can be effortlessly orchestrated and managed as isolated containers setup to set up the project follow the steps below prerequisites before running the project make sure you have the following installed docker download and install docker https docs docker com get docker installation 1 clone the repository bash git clone https github com madhurajayashanka docker mysql nodejs reactjs app git 2 navigate to the project directory bash cd project directory 3 download the script sql file and place it in the project directory 4 run the following command to build and start the docker containers bash docker compose up build 5 login to mysql using the specified port username and password host localhost port 3307 username root password pass123 you can use a mysql client such as mysql workbench https www mysql com products workbench or phpmyadmin https www phpmyadmin net to log in to the mysql server 6 initialize the mysql database by executing the script sql file 7 access the application by opening the following url in your web browser http localhost 3001 this will take you to the reactjs application interface where you can interact with the project usage this example serves as a beginner friendly resource to learn about full stack docker containerization in a practical application it provides a simplified implementation of a full stack application using react js node js and mysql all orchestrated with docker compose | docker docker-compose expressjs mysql nodejs reactjs | server |
nlp | my explorations in natural language processing | ai |
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AppMakerGame-iOS | appmaker for ios description appmaker for ios is an ongoing experimental open source ios game development project the game was originally intended to be an example of a real time multiplayer strategy simulation game on the mobile ios platform the game was originally conceived as a small university project for the purpose of learning ios development and demonstrating the capabilities of the technology it continues to serve as a playground for learning and improving ios development practices but as a community open source project instead so that our discoveries and experience may be shared with others | front_end |
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BIM | big data inspection method bim software for complex shapes the bim software registers point clouds to cad models it includes automatic registration algorithms it is useful in cases where complex shapes are inspected by laser scanners sample cloud points and models are provided with the software the bim software was developed at the nsf engineering research center for reconfigurable manufacturing systems erc rms at the university of michigan this is the version from 20 november 2005 the development team at the time was xinju li jacob barhak igor guskov geoffrey w blake for questions regarding the system please contact jacob barhak at jacob barhak gmail com for questions regarding possible commercial use please contact prof yoram koren at ykoren umich edu for further information about the software please check the following sources http www youtube com watch v fqhpf8or dg feature youtube gdata player x li i guskov j barhak feature based alignment of range scan data to cad model international journal of shape modeling vol 13 no 1 june 2007 online http dx doi org 10 1142 s0218654307000920 x li j barhak i guskov g w blake automatic registration for inspection of complex shapes virtual and physical prototyping volume 2 issue 2 june 2007 pages 75 88 online http dx doi org 10 1080 17452750701374339 if you find code useful please provide a reference for those publications license copyright c 2012 the regents of the university of michigan all rights reserved the software and related documentation and data are part of the bim application permission isgranted to use copy create derivative works and redistribute this software and such derivative works for noncommercial education and research purposes so long as no fee is charged and so long as the copyright notice above this grant of permission and the disclaimer below appear in all copies made and so long as the name of the university of michigan is not used in any advertising or publicity pertaining to the use or distribution of this software without specific written prior authorization this software is provided as is without representation from the university of michigan as to its fitness for any purpose and without warranty by the university of michigan of any kind either express or implied including without limitation the implied warranties of merchantability and fitness for aparticular purpose the regents of the university of michigan shall not beliable for any damages including special indirect incidental or consequential damages with respect to any claim arising out of or in connection with the use of the software even if it has been or is hereafter advised of the possibility of such damages the bim application includes the following software and data that match the above license yet originated elsewhere here is a list of these contributing sources the approximate nearest neighbor library ann library the approximate nearest neighbor library ann library is available in the ann directory it is copyrighted as follows c 1997 1998 university of maryland and sunil arya and david mount it is available under the same license terms as above from the library creators here is the license verbatim copyright c 1997 1998 university of maryland and sunil arya and david mount all rights reserved this software and related documentation is part of the approximate nearest neighbor library ann permission to use copy and distribute this software and its documentation is hereby granted free of charge provided that 1 it is not a component of a commercial product and 2 this notice appears in all copies of the software and related documentation the university of maryland u m and the authors make no representations about the suitability or fitness of this software for any purpose it is provided as is without express or implied warranty arcball arcball is available on the web under a free license here is the license for this file the following text constitutes the license agreement for the viewvc software formerly known as viewcvs it is an agreement between the viewcvs group and the users of viewvc copyright 1999 2012 the viewcvs group all rights reserved by using viewvc you agree to the terms and conditions set forth below redistribution and use in source and binary forms with or without modification are permitted provided that the following conditions are met 1 redistributions of source code must retain the above copyright notice this list of conditions and the following disclaimer 2 redistributions in binary form must reproduce the above copyright notice this list of conditions and the following disclaimer in the documentation and or other materials provided with the distribution this software is provided by the author and contributors as is and any express or implied warranties including but not limited to the implied warranties of merchantability and fitness for a particular purpose are disclaimed in no event shall the author or contributors be liable for any direct indirect incidental special exemplary or consequential damages including but not limited to procurement of substitute goods or services loss of use data or profits or business interruption however caused and on any theory of liability whether in contract strict liability or tort including negligence or otherwise arising in any way out of the use of this software even if advised of the possibility of such damage the following changes have occured to this license over time may 12 2001 copyright years updated september 5 2002 copyright years updated march 17 2006 software renamed from viewcvs april 10 2007 copyright years updated february 22 2008 copyright years updated march 18 2009 copyright years updated march 29 2010 copyright years updated february 18 2011 copyright years updated january 23 2012 copyright years updated glfont code is from http nehe gamedev net and their opengl font example the developers of the example just ask for recognition which is hereby given see http nehe gamedev net tutorial bitmap fonts 17002 and http www gamedev net topic 601365 nehe tutorials license for further details template numerical toolkit tnt the template numerical toolkit tnt is provided under the directory svd it is avialbale under the following license template numerical toolkit tnt mathematical and computational sciences division national institute of technology gaithersburg md usa this software was developed at the national institute of standards and technology nist by employees of the federal government in the course of their official duties pursuant to title 17 section 105 of the united states code this software is not subject to copyright protection and is in the public domain nist assumes no responsibility whatsoever for its use by other parties and makes no guarantees expressed or implied about its quality reliability or any other characteristic example data the models under the data directory were manufactured and scanned the data includes the model file that was manufactured and the scanned data there are no restrictions for releasing this data the turbine blade model and stanford bunny were obtained from the large geometric models archive at the georgia institute of technology the web site is http www cc gatech edu projects large models here is text from this web site the purpose of this site is to provide large models to researchers in computer graphics and related fields there are thousands of geometric models available on the web yet the vast majority of them are small and thus do not provide an adequate challenge to the creators of new geometric algorithms and techniques very large models are a challenge to techniques for rendering automatic simplification geometry compression visibility techniques surface reconstruction and surface fitting in the digital age there are many sources of very large geometric datasets yet many researchers do not have access to such data this website is an attempt to remedy this situation | cloud |
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Research | blockchain commons research images logos bcc research screen jpg this repository contains research and proposals of interest to the blockchain community contents number title owner bcr 2020 001 papers bcr 2020 001 entropy to seed md uniformly translating entropy into cryptographic seeds wolf mcnally bcr 2020 002 papers bcr 2020 002 bech32 seed format md bech32 encoding for cryptographic seeds wolf mcnally bcr 2020 003 papers bcr 2020 003 uri binary compatibility md encoding binary compatibly with uri reserved characters wolf mcnally bcr 2020 004 papers bcr 2020 004 bc32 md the bc32 data encoding format wolf mcnally bcr 2020 005 papers bcr 2020 005 ur md uniform resources ur encoding structured binary data for transport in uris and qr codes version 2 wolf mcnally bcr 2020 006 papers bcr 2020 006 urtypes md registry of uniform resource ur types wolf mcnally bcr 2020 007 papers bcr 2020 007 hdkey md ur type definition for hierarchical deterministic hd keys wolf mcnally bcr 2020 008 papers bcr 2020 008 eckey md ur type definition for elliptic curve ec keys wolf mcnally bcr 2020 009 papers bcr 2020 009 address md ur type definition for cryptocurrency addresses wolf mcnally bcr 2020 010 papers bcr 2020 010 output desc md ur type definition for bitcoin output descriptors wolf mcnally bcr 2020 011 papers bcr 2020 011 sskr md ur type definition for sharded secret key reconstruction sskr wolf mcnally bcr 2020 012 papers bcr 2020 012 bytewords md bytewords encoding binary data as english words wolf mcnally bcr 2020 013 papers bcr 2020 013 crc32 cbor tag md crc 32 checksums in cbor wolf mcnally bcr 2020 014 papers bcr 2020 014 urs on epaper md urs on e paper display gorazd kovacic bcr 2020 015 papers bcr 2020 015 account md ur type definition for bip44 accounts craig raw bcr 2021 001 papers bcr 2021 001 request md ur type definitions for transactions between airgapped devices wolf mcnally bcr 2021 002 papers bcr 2021 002 digest md digests for digital objects wolf mcnally bcr 2022 001 papers bcr 2022 001 encrypted message md encrypted message wolf mcnally bcr 2022 002 papers bcr 2022 002 arid md arid apparently random identifier wolf mcnally bcr 2023 001 papers bcr 2023 001 compressed message md compressed message wolf mcnally bcr 2023 002 papers bcr 2023 002 known value md known values a compact deterministic representation for ontological concepts wolf mcnally bcr 2023 003 papers bcr 2023 003 envelope known value md gordian envelope extension known values wolf mcnally bcr 2023 004 papers bcr 2023 004 envelope symmetric encryption md gordian envelope extension symmetric encryption wolf mcnally bcr 2023 005 papers bcr 2023 005 envelope compression md gordian envelope extension compression wolf mcnally bcr 2023 006 papers bcr 2023 006 envelope attachment md gordian envelope attachments wolf mcnally bcr 2023 007 papers bcr 2023 007 envelope output desc md gordian envelope bitcoin output descriptors wolf mcnally bcr 2023 008 papers bcr 2023 008 dcbor date md dcbor preferred encoding of dates wolf mcnally bcr 2023 009 papers bcr 2023 009 envelope seed md gordian envelope cryptographic seeds wolf mcnally also see our testimony https github com blockchaincommons testimony blob master readme md and our wallet improvement proposals https github com blockchaincommons wips blob master readme md bcr number please number all bitcoin research bcrs with a four digit number representing the current year yyyy followed by a three digit sequence number for that year sss for example bcr 2020 001 is the first bcr for 2020 bcr 2020 017 is the 17th and bcr 2021 001 is the first bcr for 2021 note that the sequence number reverts to 001 at the start of each year bcr title please be sure that your title is concise yet informative bcr version when updating bcrs please use semantic versioning https semver org for your version number most briefly your version number should be of the form x y z where x is the major number 0 for a bcr in progress 1 for a fully drafted bcr and 2 or higher for a new version that has introduced a backward incompatible change y is the minor number for a backward compatible new feature and z is the patch number for fixing typos and making other clarifications that don t fundamentally change what the bcr means but please consult the semantic versioning document for more information and adjust appropriately for the fact that these are textual bcrs not software bcr owner please list the person primarily responsible for the bcr and moving it forward as the owner if there are multiple authors they should be listed on the bcr itself not on this overview origin authors copyright licenses unless otherwise noted either in this readme md readme md or in the file s header comments the contents of this repository are copyright 2020 by blockchain commons llc and are licensed license under the spdx bsd 2 clause plus patent license https spdx org licenses bsd 2 clause patent html financial support this research is a project of blockchain commons https www blockchaincommons com we are proudly a not for profit social benefit corporation committed to open source open development our work is funded entirely by donations and collaborative partnerships with people like you every contribution will be spent on building open tools technologies and techniques that sustain and advance blockchain and internet security infrastructure and promote an open web to financially support further development of this research and other projects please consider becoming a patron of blockchain commons through ongoing monthly patronage as a github sponsor https github com sponsors blockchaincommons you can also support blockchain commons with bitcoins at our btcpay server https btcpay blockchaincommons com contributing we encourage public contributions through issues and pull requests please review contributing md contributing md for details on our development process all contributions to this repository require a gpg signed contributor license agreement cla md discussions the best place to talk about blockchain commons and its projects is in our github discussions areas gordian developer community https github com blockchaincommons gordian developer community discussions for standards and open source developers who want to talk about interoperable wallet specifications please use the discussions area of the gordian developer community repo https github com blockchaincommons gordian developer community discussions this is where you talk about gordian specifications such as gordian envelope https github com blockchaincommons gordian tree master envelope articles bc shamir https github com blockchaincommons bc shamir sharded secret key reconstruction https github com blockchaincommons bc sskr and bc ur https github com blockchaincommons bc ur as well as the larger gordian architecture https github com blockchaincommons gordian blob master docs overview architecture md its principles https github com blockchaincommons gordian gordian principles of independence privacy resilience and openness and its macro architectural ideas such as functional partition including airgapping the original name of this community blockchain commons discussions https github com blockchaincommons community discussions for developers interns and patrons of blockchain commons please use the discussions area of the community repo https github com blockchaincommons community to talk about general blockchain commons issues the intern program or topics other than those covered by the gordian developer community https github com blockchaincommons gordian developer community discussions or the gordian user community https github com blockchaincommons gordian discussions other questions problems as an open source open development community blockchain commons does not have the resources to provide direct support of our projects please consider the discussions area as a locale where you might get answers to questions alternatively please use this repository s issues issues feature unfortunately we can not make any promises on response time if your company requires support to use our projects please feel free to contact us directly about options we may be able to offer you a contract for support from one of our contributors or we might be able to point you to another entity who can offer the contractual support that you need credits the following people directly contributed to this repository you can add your name here by getting involved the first step is learning how to contribute from our contributing md contributing md documentation name role github email gpg fingerprint christopher allen principal architect christophera https github com christophera christophera lifewithalacrity com fdfe 14a5 4ecb 30fc 5d22 74ef f8d3 6c91 3574 05ed wolf mcnally contributor wolfmcnally https github com wolfmcnally wolf wolfmcnally com 9436 52ee 3844 1760 c3dc 3536 4b6c 2fcf 8947 80ae responsible disclosure we want to keep all of our software safe for everyone if you have discovered a security vulnerability we appreciate your help in disclosing it to us in a responsible manner we are unfortunately not able to offer bug bounties at this time we do ask that you offer us good faith and use best efforts not to leak information or harm any user their data or our developer community please give us a reasonable amount of time to fix the issue before you publish it do not defraud our users or us in the process of discovery we promise not to bring legal action against researchers who point out a problem provided they do their best to follow the these guidelines reporting a vulnerability please report suspected security vulnerabilities in private via email to christophera blockchaincommons com do not use this email for support please do not create publicly viewable issues for suspected security vulnerabilities the following keys may be used to communicate sensitive information to developers name fingerprint christopher allen fdfe 14a5 4ecb 30fc 5d22 74ef f8d3 6c91 3574 05ed you can import a key by running the following command with that individual s fingerprint gpg recv keys fingerprint ensure that you put quotes around fingerprints that contain spaces | blockchain |
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Modular-Organizing-Terminology | modular organizing terminology description modular organizing terminology mot is a generic https github com gcassel modular organization terminology blob master terms generic md open source https www gnu org licenses gpl 3 0 en html english language https github com gcassel modular organizing terminology blob master terms language md ontology https github com gcassel modular organization terminology blob master terms ontology md and terminology https github com gcassel modular organization terminology blob master terms terminology md which can be used https github com gcassel modular organization terminology blob master terms use md or adapted https github com gcassel modular organization terminology blob master terms adapt md for many organizing https github com gcassel modular organization terminology blob master terms organize md design https github com gcassel modular organization terminology blob master terms design md and governance https github com gcassel modular organization terminology blob master terms govern md principles https github com gcassel modular organization terminology blob master terms principle md and practices https github com gcassel modular organization terminology blob master terms practice md general objectives https github com gcassel modular organization terminology blob master terms goal md mot s basic https github com gcassel modular organization terminology blob master terms base md mission https github com gcassel modular organization terminology blob master terms mission md is to facilitate https github com gcassel modular organization terminology blob master terms facilitate md inclusive https github com gcassel modular organization terminology blob master terms include md discussion https github com gcassel modular organization terminology blob master terms discuss md design https github com gcassel modular organization terminology blob master terms design md and decision https github com gcassel modular organization terminology blob master terms decide md and thus effective https github com gcassel modular organization terminology blob master terms effective md communication https github com gcassel modular organization terminology blob master terms communicate md coordination https github com gcassel modular organization terminology blob master terms coordinate md and collaboration https github com gcassel modular organization terminology blob master terms collaborate md in diverse social https github com gcassel modular organization terminology blob master terms social md contexts https github com gcassel modular organization terminology blob master terms context md mot is made for adaptation from its extreme generalization into whichever definitions https github com gcassel modular organization terminology blob master terms define md or ontologies https github com gcassel modular organization terminology blob master terms ontology md are sufficiently https github com gcassel modular organization terminology blob master terms suffice md specific https github com gcassel modular organization terminology blob master terms specific md flexible https github com gcassel modular organization terminology blob master terms flexible md and effective in a personal https github com gcassel modular organization terminology blob master terms personal md or social https github com gcassel modular organization terminology blob master terms social md context https github com gcassel modular organization terminology blob master terms context md for example https github com gcassel modular organization terminology blob master terms example md agents https github com gcassel modular organization terminology blob master terms agent md can use these terms https github com gcassel modular organization terminology blob master terms term md or adapatations thereof to develop https github com gcassel modular organization terminology blob master terms develop md resources https github com gcassel modular organization terminology blob master terms resource md including https github com gcassel modular organization terminology blob master terms include md models https github com gcassel modular organization terminology blob master terms model md plans https github com gcassel modular organization terminology blob master terms plan md and reports https github com gcassel modular organization terminology blob master terms report md and to propose https github com gcassel modular organization terminology blob master terms propose md agreements https github com gcassel modular organization terminology blob master terms agree md this terminology can also facilitate the inclusive development of non coercive https github com gcassel modular organization terminology blob master terms coerce md open https github com gcassel modular organization terminology blob master terms open license md standards https github com gcassel modular organization terminology blob master terms standard md and p2p https github com gcassel modular organization terminology blob master terms p2p md recipes https github com gcassel modular organization terminology blob master terms recipe md special https github com gcassel modular organization terminology blob master terms specific md objectives mot also currently serves as fundamental infrastructure https github com gcassel modular organization terminology blob master terms infrastructure md and an iterative https github com gcassel modular organization terminology blob master terms iterate md testing ground for my personal vocabulary https github com gcassel modular organization terminology blob master terms vocabulary md and sensemaking journey and i m using this repository s https github com gcassel modular organization terminology blob master terms repository md hyperlinked https github com gcassel modular organization terminology blob master terms hyperlink md definitions https github com gcassel modular organization terminology blob master terms define md to standardize terminology in related https github com gcassel modular organization terminology blob master terms relate md organizing models https github com gcassel models and related https github com gcassel modular organization terminology blob master terms relate md documents https github com gcassel modular organization terminology blob master terms document md inclusive organizing systems https docs google com drawings d 1 wfmryduesbba1atcohx0g585zj gbnlbvzqbqnemes edit usp sharing represents https github com gcassel modular organization terminology blob master terms represent md many relationships between mot and specific organizing models additionally i ll work with others to import mutually https github com gcassel modular organization terminology blob master terms mutual md useful mot terms into one or more collectively https github com gcassel modular organization terminology blob master terms collective md governed https github com gcassel modular organization terminology blob master terms govern md repositories formal context mot can be seen as a bridge between machine readable https github com gcassel modular organization terminology blob master terms read md languages and natural languages including most formal https github com gcassel modular organization terminology blob master terms form md writing https github com gcassel modular organization terminology blob master terms write md such as policies https github com gcassel modular organization terminology blob master terms policy md and laws https github com gcassel modular organization terminology blob master terms law md compared to most machine readable languages mot is much larger and more flexible https github com gcassel modular organization terminology blob master terms flexible md but less syntactically and grammatically https github com gcassel modular organization terminology blob master terms grammar md precise https github com gcassel modular organization terminology blob master terms precise md precision can be increased by adapting mot for specific projects https github com gcassel modular organization terminology blob master terms project md and communities https github com gcassel modular organization terminology blob master terms community md some mot definitions are directly used in io https docs google com document d 1 kwmbdghvvv1foduy21qsxxxhsaktlgc0ygt64oh0mg edit heading h fv6ub2vhy0qx based systems although io has its own repository https github com gcassel io to be used as needed philosophical context https github com gcassel modular organization terminology blob master terms context md this terminology supports an action https github com gcassel modular organization terminology blob master terms act md process https github com gcassel modular organization terminology blob master terms process md relations https github com gcassel modular organization terminology blob master terms relate md and systems https github com gcassel modular organization terminology blob master terms system md based philosophy https github com gcassel modular organizing terminology blob master terms philosophize md of science https github com gcassel modular organizing terminology blob master terms science md and language https github com gcassel modular organization terminology blob master terms language md mot is action and relation based because it seeks to define most and perhaps ultimately all concepts as verbs according to mutual influences https github com gcassel modular organization terminology blob master terms influence md meaning actions and change which tend https github com gcassel modular organization terminology blob master terms tend md to occur in very specific implicit https github com gcassel modular organization terminology blob master terms imply md or explicit relationships and contexts mot s human centered terms intentionally relate https github com gcassel modular organization terminology blob master terms relate md mental https github com gcassel modular organization terminology blob master terms mental md social https github com gcassel modular organization terminology blob master terms social md and physical https github com gcassel modular organization terminology blob master terms physical md experiences https github com gcassel modular organization terminology blob master terms experience md one of my fundamental https github com gcassel modular organization terminology blob master terms base md goals here is to help facilitate https github com gcassel modular organization terminology blob master terms facilitate md more effective https github com gcassel modular organization terminology blob master terms effective md and consistent https github com gcassel modular organization terminology blob master terms consistent md descriptions https github com gcassel modular organization terminology blob master terms describe md of such relationships i hope to share that goal with other agents via distributed version control https github com gcassel modular organization terminology blob master terms distributed version control md and creative https github com gcassel modular organization terminology blob master terms creation md mergers https github com gcassel modular organization terminology blob master terms merge md disclaimers many mot definitions are provisional either incomplete or insufficiently precise and some are merely placeholders the completeness of each definition cannot be determined by its latest revision date because some updates are simply bug fixes often broken hyperlinks or incomplete updates of aged definitions please inquire about any terms which you re especially interested in updating or adapting even with mot s most up to date definitions the use of mot terms or derivations thereof are suggested for use only on an as needed basis i d never suggest for anyone to adopt the entire repository some of which is half baked at best the importance of formal https github com gcassel modular organization terminology blob master terms form md definitions varies widely depending on social context in some contexts it s crucial this is why for example legal documents often include introductory lists of special definitions another disclaimer of note is that i m generally critical and suspicious of automation https github com gcassel modular organization terminology blob master terms automate md for example any use of mot terms including algorithms https github com gcassel modular organization terminology blob master terms algorithm md programs https github com gcassel modular organization terminology blob master terms program md or mandatory https github com gcassel modular organization terminology blob master terms mandate md procedures https github com gcassel modular organization terminology blob master terms procedure md based https github com gcassel modular organization terminology blob master terms base md on them which restricts https github com gcassel modular organization terminology blob master terms restrict md or removes https github com gcassel modular organization terminology blob master terms remove md human agency i want terminology and technology in general to empower people through improved communications and sensemaking instead of enslaving them so far mot has been mostly my solo work although in dialogue at times with varied groups https github com gcassel modular organization terminology blob master terms group md and projects https github com gcassel modular organization terminology blob master terms project md i do not consider such sole stewardship https github com gcassel modular organization terminology blob master terms steward md to be desirable https github com gcassel modular organization terminology blob master terms desire md for potentially https github com gcassel modular organization terminology blob master terms potential md major resources i m planning to develop https github com gcassel modular organization terminology blob master terms develop md co stewarded branches https github com gcassel modular organization terminology blob master terms branch md and forks https github com gcassel modular organization terminology blob master terms fork md of mot as consent based https github com gcassel modular organization terminology blob master terms consent based md team https github com gcassel modular organization terminology blob master terms team md projects https github com gcassel modular organization terminology blob master terms project md as soon as feasible https github com gcassel modular organization terminology blob master terms feasible md more importantly however i hope to help people and projects to export useful definitions on an as needed basis acknowledgements the development of mot has been deeply based on my participation in the https valueflo ws community and related discussions regarding rea https en wikipedia org wiki resources events agents accounting special thanks to lynn foster and bob haugen of value flows for their tireless and often thankless contributions to a wide variety of digital sensemaking efforts and projects special thanks also to my brilliant partner lane who has been a key force in everything i ve done since mot s genesis additional notes some terms https github com gcassel modular organization terminology blob master terms term md in mot already have excellent technical https github com gcassel modular organization terminology blob master terms technical md descriptions elsewhere i ve added mot entries for them mainly to enable https github com gcassel modular organization terminology blob master terms enable md responsible https github com gcassel modular organization terminology blob master terms responsibility md mot compatible https github com gcassel modular organization terminology blob master terms compatible md governance and coordination of potential https github com gcassel modular organization terminology blob master terms potential md modifications https github com gcassel modular organization terminology blob master terms modify md of these terms the vast majority of mot definitions are stored in verb form for example clarify https github com gcassel modular organization terminology blob master terms clarify md instead of clarity occasionally for important words which are close synonyms of root terms or are spelled significantly differently from their root verb a redirection definition has been added to mot for example clear https github com gcassel modular organization terminology blob master terms clear md redirects to clarify this repository will often be edited https github com gcassel modular organization terminology blob master terms edit md as terms are interactively https github com gcassel modular organization terminology blob master terms interaction md developed some of the fundamental terms here are especially difficult to limit https github com gcassel modular organization terminology blob master terms limit md and describe and will need to be inclusively https github com gcassel modular organization terminology blob master terms include md developed through open dialogue https github com gcassel modular organization terminology blob master terms dialogue md between diverse agents | ontology-engineering semantic-web terminology-management | server |
ui | codecov https codecov io gh hms dbmi cellenics ui branch master graph badge svg token zi99mv1yzo https codecov io gh hms dbmi cellenics ui ui the user interface of cellenics cloud based single cell rna seq analysis web platform development prerequisites we highly recommend using vscode for development if you don t have it make sure you get it installed you will also need to install homebrew docker node version 14 you should also install the following packages dbaeumer vscode eslint for syntax linting format errors in vs code markis code coverage highlights which lines are covered in unit tests and which aren t installing node 14 on macos easiest way to do it is using homebrew instructions based on this so answer https apple stackexchange com a 207883 shell brew install node 14 if you already have a newer node version installed you have to unlink it and link node 14 which creates symlinks in usr local bin shell brew unlink node brew link node 14 you may have to force the linking with the force and overwrite options if you want you could use dry run to check what would be overwritten shell brew link node 14 force overwrite running locally make sure that you clone this repo and are in the ui folder then simply do make install make run see more available commands like syntax checking with make help note that since the ui is not connected to the backend you should see an empty screen saying you are not connected to the backend to get it running end to end locally with mocked dataset you will need to set up and run each of these api https github com hms dbmi cellenics api inframock https github com hms dbmi cellenics inframock worker https github com hms dbmi cellenics worker pipeline https github com hms dbmi cellenics pipeline just follow the readme of each of them for instructions on how to get it to run once you have everything running on the backend go to http localhost 5000 in your browser you will get redirected to an authentication page you will have to create a staging account by clicking through sign up link even if you have an existing production account remote debugging with vs code remote debugging is enabled for all staging and production environments for remote debugging the best approach is to use vs code s native debugger capatibilites first you need to ensure you have the correct website to debug you can go to vscode launch json and find an object with the name set to debug develop in chrome you can edit the url to match your staged or production environment then you can use the vs code debugger select debug develop in chrome and start the debug session a chrome window should spin up and you can control it using the debugger in vs code note for debugging to work reliably the code used on the environment must be the same version as the code open in vs code this is needed so line numbers from vs code can be mapped to remote code on the server remote debugging with chrome devtools alternatively you can use google chrome s built in devtools when it is open e g by clicking inspect on an element you can click on sources filesystem click on add folder to workspace and add this folder you will be able to use google chrome s debugger to set breakpoints inspect variables similarly to vs code in the devtools if you have the react and redux developer tools installed you can also run the react profiler and check the redux history just as you would on a local development environment note for debugging to work reliably the code added the the workspace must be the same version as the code on the environment how to run tests in debug mode the workspace comes with a preset for debugging tests you can enter the debugger in visual studio code find run and debug and find the preset test and debug running the debugger using this configuration will automatically launch the test suite and attach the vs code debugger to it how to check bundle size you can check for the size of the bundles served to the user and loaded onto the server by typing npm run analyze alternatively you can use npm run analyze server or npm run analyze client to get information about bundle sizes for just server side rendered and client side scripts the script will produce html artifacts that will open in your default browser as a voronoi treemap browser cache browser cache enabled by default in production environment this can be disabled by adding the entry disablecache to true via the console using the command localstorage setitem disablecache true browser cache makes it hard to develop as it can hide changes from the backend so cache is disabled by default in development this can be changed by modifying disablecache in localstorage manually troubleshooting 1 error listen eaddrinuse address already in use 5000 starting on macos 12 monterey port 5000 is used by airplay receiver https developer apple com forums thread 682332 to be able to run the ui locally it has to be disabled going to system preferences sharing and unticking the airplay reciever service box for any other problems reach out our team | front_end |
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MAD | mad mobile application development team repository m a d development for the team of not nuhu he left eric and andrew as we test and create our mobile applications for school ben 2 joined the group after there person dropped also | front_end |
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computer-vision-course | computer vision syllabus fall 2019 general information teachers oles dobosevych https apps ucu edu ua en personal oles dobosevych email dobosevych ucu edu ua igor krashenyi https scholar google com ua citations user j3gqvsmaaaaj hl email igor krashenyi gmail com tetiana martyniuk https apps ucu edu ua en personal tmartyniuk email t martynyuk ucu edu ua yaroslava lochman https apps ucu edu ua en personal ylochman email lochman ucu edu ua cms https cms ucu edu ua course view php id 2248 course description computer vision has become ubiquitous in our society with applications in search image understanding apps mapping medicine drones and self driving cars core to many of these applications are image classification localization detection and other visual tasks recent developments in neural network approaches have greatly advanced the performance of these state of the art visual recognition systems this course will give students an understanding and practical experience with many important deep cnn models applied for specific tasks of classification segmentation detection recognition and restoration goals the main goal of the course is to discover the most important problems in modern computer vision and approach them with powerful cnn architectures students will be able to implement train validate and debug their own neural networks and gain a detailed understanding of cutting edge research in computer vision course format lectures seminars every tuesday sep 17 2019 dec 24 2019 8 30 11 30 sheptytsky center room 308 schedule and syllabus lass hours self work hours course materials module 1 introduction br 17 sep 1 oct 9 18 deep learning for computer vision https github com lyubonko ucu2019 br assignment 1 intro to cnn slides module1 intro lecture1 intro pdf cnns for image classification slides module1 intro lecture2 cnn pdf cnns for ocr module 2 image segmentation br oct 11 14 9 18 problem statement br cnns for semantic segmentation slides module2 segmentation lecture1 image segmentation pdf retina blood vessel segmentation code data https drive google com open id 1evkexzcwlbf fedg1unjsmrk0tgrzbbm deep automatic portrait matting assignment 2 https drive google com open id 1vv7bzgqh717wxk6ksbtr96r5kvhajfpo module 3 generative models br 23 nov nov 29 30 9 18 autoencoders slides module3 generative models lecture1 autoencoders pdf vae gans slides module3 generative models lecture2 vae gan pdf cnns for image restoration slides module3 generative models lecture3 image estoration pdf br code module3 generative models practice data https www dropbox com sh fbe688d98v920zs aaaykjxykquc5t fmgynzp0xa gopro gopro original more data https www dropbox com sh fbe688d98v920zs aaczdijuscmwt zdzv8iieia dl 0 br assignment 3 https cms ucu edu ua mod assign view php id 95253 module 4 geometry in cv br 14 dec 17 dec 24 dec 9 18 camera models and calibration slides module4 geometry lecture1 camera calibration pdf code module4 geometry practice1 camera calibration homography estimation correspondence problem slides module4 geometry lecture2 homography correspondence pdf code module4 geometry practice2 homography practice2 homography with tasks ipynb image stitching code module4 geometry practice3 panorama br assignment 4 module4 geometry optional instance level recognition papers fpn https arxiv org pdf 1612 03144 pdf focal loss https arxiv org pdf 1708 02002 pdf br r cnn https arxiv org pdf 1311 2524 pdf fast r cnn https arxiv org pdf 1504 08083 pdf faster r cnn https arxiv org pdf 1506 01497 pdf br yolo https arxiv org pdf 1506 02640 pdf yolo9000 https arxiv org pdf 1612 08242 pdf yolov3 https arxiv org pdf 1804 02767 pdf br ssd https arxiv org pdf 1512 02325 pdf br mask r cnn https arxiv org pdf 1703 06870 pdf optional face recognition papers br deepface https www cv foundation org openaccess content cvpr 2014 papers taigman deepface closing the 2014 cvpr paper pdf facenet https www cv foundation org openaccess content cvpr 2015 papers schroff facenet a unified 2015 cvpr paper pdf deep face recognition http cis csuohio edu sschung cis660 deepfacerecognition parkhi15 pdf total 36 72 course policy no plagiarism and other violation of academic integrity is allowed be sure to obey the academic code of honour of ucu https s3 eu central 1 amazonaws com ucu edu ua wp content uploads 2017 04 polozhennya pro plagiat pdf a completed assignment should be submitted to cms as an archive named as name surname cv hw or a link to the repository grading policy assignment 1 25 assignment 2 25 assignment 3 25 assignment 4 25 recommended materials main cs231n course notes http cs231n github io video lectures https www youtube com playlist list pl3fw7lu3i5jvhm8ljyj zlfqrf3eo8syv multiple view geometry in computer vision by hartley and zisserman book https github com pranjals16 cs676 blob master hartley 2c 20zisserman 20 20multiple 20view 20geometry 20in 20computer 20vision pdf elements of geometry in computer vision by pajdla book https cw felk cvut cz courses gvg 2013 lecture gvg 2013 lecture pdf optional computer vision algorithms and applications by szeliski book http szeliski org book drafts szeliskibook 20100903 draft pdf computer vision a modern approach by forsyth and ponce book http cmuems com excap readings forsyth ponce computer vision a modern approach pdf cs131 course notes https github com stanfordvl cs131 notes epfl deep learning course https fleuret org ee559 cs294 158 deep unsupervised learning course https sites google com view berkeley cs294 158 sp19 home | ai |
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DeepLearningForNLPInPytorch | table of contents 1 introduction to torch s tensor library 2 computation graphs and automatic differentiation 3 deep learning building blocks affine maps non linearities and objectives 4 optimization and training 5 creating network components in pytorch example logistic regression bag of words text classifier 6 word embeddings encoding lexical semantics example n gram language modeling exercise continuous bag of words for learning word embeddings 7 sequence modeling and long short term memory networks example an lstm for part of speech tagging exercise augmenting the lstm tagger with character level features 8 advanced dynamic toolkits dynamic programming and the bilstm crf example bi lstm conditional random field for named entity recognition exercise a new loss function for discriminative tagging what is this tutorial i am writing this tutorial because although there are plenty of other tutorials out there they all seem to have one of three problems they have a lot of content on computer vision and conv nets which is irrelevant for most nlp although conv nets have been applied in cool ways to nlp problems pytorch is brand new and so many deep learning for nlp tutorials are in older frameworks and usually not in dynamic frameworks like pytorch which have a totally different flavor the examples don t move beyond rnn language models and show the awesome stuff you can do when trying to do lingusitic structure prediction i think this is a problem because pytorch s dynamic graphs make structure prediction one of its biggest strengths specifically i am writing this tutorial for a natural language processing class at georgia tech to ease into a problem set i wrote for the class on deep transition parsing the problem set uses some advanced techniques the intention of this tutorial is to cover the basics so that students can focus on the more challenging aspects of the problem set the aim is to start with the basics and move up to linguistic structure prediction which i feel is almost completely absent in other pytorch tutorials the general deep learning basics have short expositions topics more nlp specific received more in depth discussions although i have referred to other sources when i felt a full description would be reinventing the wheel and take up too much space dependency parsing problem set as mentioned above here https github com jacobeisenstein gt nlp class tree master psets ps4 is the problem set that goes through implementing a high performing dependency parser in pytorch i wanted to add a link here since it might be useful provided you ignore the things that were specific to the class a few notes there is a lot of code so the beginning of the problem set was mainly to get people familiar with the way my code represented the relevant data and the interfaces you need to use the rest of the problem set is actually implementing components for the parser since we hadn t done deep learning in the class before i tried to provide an enormous amount of comments and hints when writing it there is a unit test for every deliverable which you can run with nosetests since we use this problem set in the class please don t publically post solutions the same repo has some notes that include a section on shift reduce dependency parsing if you are looking for a written source to complement the problem set the link above might not work if it is taken down at the start of a new semester references i learned a lot about deep structure prediction at emnlp 2016 from this https github com clab dynet tutorial examples tutorial on dynet http dynet readthedocs io en latest given by chris dyer and graham neubig of cmu and yoav goldberg of bar ilan university dynet is a great package especially if you want to use c and avoid dynamic typing the final bilstm crf exercise and the character level features exercise are things i learned from this tutorial a great book on structure prediction is linguistic structure prediction https www amazon com linguistic structure prediction synthesis technologies dp 1608454053 ref sr 1 1 ie utf8 qid 1489510387 sr 8 1 keywords linguistic structure prediction by noah smith it doesn t use deep learning but that is ok the best deep learning book i am aware of is deep learning http deeplearningbook org which is by some major contributors to the field and very comprehensive although there is not an nlp focus it is free online but worth having on your shelf exercises there are a few exercises in the tutorial which are either to implement a popular model cbow or augment one of my models the character level features exercise especially is very non trivial but very useful i can t quote the exact numbers but i have run the experiment before and usually the character level features increase accuracy 2 3 since they aren t simple exercises i will soon implement them myself and add them to the repo suggestions please open a github issue if you find any mistakes or think there is a particular model that would be useful to add | nlp pytorch deep-learning tutorial lstm neural-network | ai |
Database_Spring_2019 | database spring 2019 helpful links el desokui s playlist channel https www youtube com playlist list pl37d52b7714788190 old drives 18 19 drive link https drive google com open id 15cmbb8kh6q1rvntbh6vw2eh8 3iqye4a old notes eng sami notes folder https drive google com open id 102rifcpk2edoortsug 1cdwhjz bkq9m current notes eng sami notes folder https drive google com open id 1cibrwa4wn 1u5mncsamfmn6hbplpwaic extra sql commands pdf link https drive google com open id 1hprpz28jgo0r9nbtsnldtrkzmxzeinek introduction to database img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1dnpfyl3izcozyvi4uywiunygjdei2fqqe07d9ttwmgq img src https pngimage net wp content uploads 2018 06 logo lecture png 6 png alt drawing width 15 height 15 summary link https drive google com open id 17gkrckuozigw2t9hdu5kyvp53pyw xhb entity relationship diagram img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1sok ms6eb2xjgx9oqtsxrkkorgntg09oguma24qmnzm img src https pngimage net wp content uploads 2018 06 logo lecture png 6 png alt drawing width 15 height 15 sheet 1 link https drive google com open id 1c ayjmvtcnkilddwvhdnvckjm2uesq7g img src https pngimage net wp content uploads 2018 06 logo lecture png 8 png alt drawing width 15 height 15 solution 1 link https drive google com open id 1ytytl4vsbgyhsk3zpksoxksqrggppifl enhanced entity relationship model img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1ef31bsck8puhowdh2c1w9f2hudkgkrqufwmx 82mows img src https pngimage net wp content uploads 2018 06 logo lecture png 6 png alt drawing width 15 height 15 sheet 2 link https drive google com open id 1qzhjgacl8m4yo9ccwq 5bhs6dxkarvvh img src https pngimage net wp content uploads 2018 06 logo lecture png 8 png alt drawing width 15 height 15 solution 2 link https drive google com open id 1y7wwljs5k zyk4o9 tc44tokz8exo9n relational model img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1mn rhzx1u1f67gz6u 9iojstwwwsosjxqkrf8suy6k4 img src https pngimage net wp content uploads 2018 06 logo lecture png 6 png alt drawing width 15 height 15 summary of rules https drive google com open id 1rypfllr0qvuxaz7hv6krigw0r9q4vn21 img src https pngimage net wp content uploads 2018 06 logo lecture png 8 png alt drawing width 15 height 15 more examples https lbsitbytes2010 wordpress com category mapping er to realtional page 2 functional dependecies img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1shmhlulhsbmyuc6teqvu1ql 4sd1mb8onhndwoofv4w img src https pngimage net wp content uploads 2018 06 logo lecture png 6 png alt drawing width 15 height 15 sheet 3 link https drive google com open id 12eee9dmwrakbk4yg9dr6j296qhdgli3i img src https pngimage net wp content uploads 2018 06 logo lecture png 8 png alt drawing width 15 height 15 solution 3 link https drive google com open id 1c733i8ahj6r4golgjrc9eg 4dst sox9 relational algebra img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1 wzqs25xboer3nhb189dzhyj954hiyqxnapa2uaxpaq img src https pngimage net wp content uploads 2018 06 logo lecture png 6 png alt drawing width 15 height 15 sheet 4 link https drive google com open id 16rclrq4y55zq3jgoodb8uq4lwc0qcnun img src https pngimage net wp content uploads 2018 06 logo lecture png 8 png alt drawing width 15 height 15 solution 4 link https github com hassan elseoudy database spring 2019 not added yet sql img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1pigurtttcw5zfrx6w515kzuixivp4mykllxvf1mrig0 view img src https pngimage net wp content uploads 2018 06 logo lecture png 7 png alt drawing width 15 height 15 lecture link https drive google com open id 1vlxls8lqnyhc8uyztatcvo88j1gl z7l | server |
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INDust | self critique prompting with large language models for inductive instructions code license https img shields io badge code 20license apache 2 0 green svg https github com tatsu lab stanford alpaca blob main license data license https img shields io badge data 20license cc 20by 20nc 204 0 red svg https github com tatsu lab stanford alpaca blob main data license opensource x hadust adust evaluation scripits and prompts code of finetuning llms on hadust citations online wang2023b title self critique prompting with large language models for inductive instructions author wang rui and wang hongru and mi fei and chen yi and xu ruifeng and wong kam fai doi 10 48550 arxiv 2305 13733 url http arxiv org abs 2305 13733 urldate 2023 05 26 pubstate preprint | ai |
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alphabet | alphabet vividfree alphabet machine learning natural language processing big data computing c python shell vividfree http vividfree github io src base cpp c python python file util path util text util util shell shell cgi demo cgi demo demo cgi cgi demo readme md crawl and analyse website analyse lianjia machine learning sparse matrix multiplication mapreduce tool c nginx fastcgi http bin c c build sh conf cplusplus c c cpp c c data python python shell shell 1 build sh 2 | ai |
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Abstract.js | abstract javascript abstract js is a new and amazing framework for fast web development it s the world s first logic oriented program framework as i know using abstract js and node js you can construct a readable tidy project abstract models core concept here the models don t refer to the m of mvc but drawn from the model concept in mathematic abstract js rethought construction of the web page and found the common and abstract actions in web development br we extract two base models which can describe all the web development so it s rendering model and relationship model in abstract js br the relationship model is based on a simple state machine and using for describing the relationship between the rendering models while the rendring model is using for rendering modules of the web page br but it s not enough just with the two base models abstract js also offers the connction methods between the models to make it more convenient building the web world virtual dom and event propagation models refer to the real dom models construct virtual dom tree with parent child relationship and event propagation logical abstracted abstract models are like ribs of the page many logical programmings are encapsulated so you build your page fast doc doc doc md examples simple render model javascript var nav new rendermodel el nav data navlist name cn intro name cn applacation name cn doc tmpl li soda repeat item in navlist onclick switchnav item cn class item cn item name li events function window switchnav function name model trigger name nav rock page model javascript var intro new rendermodel el intro tmpl model js var nav new rendermodel el nav data navlist name cn intro name cn applacation name cn doc tmpl li soda repeat item in navlist onclick switchnav item cn class item cn item name li events function window switchnav function name model trigger name var page new pagemodel page add intro page add nav page rock observe events var intro new rendermodel el intro tmpl model js intro addeventlistener completed function e do something learn abstract js comming soon | front_end |
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data-science-on-aws | data science on aws o reilly book select a branch to explore data science on aws o reilly book img dsoaws book png https github com data science on aws data science on aws tree oreilly book get the book on amazon com https www amazon com data science aws end end dp 1492079391 data science on aws img book full color sm png https www amazon com data science aws end end dp 1492079391 youtube video youtube video https youtu be 9 swakdzhem book outline book outline img outline png book examples 12 hours throughout these book examples you will build an end to end ai ml pipeline for natural language processing with amazon sagemaker you will train and tune a text classifier to predict the star rating 1 is bad 5 is good for product reviews using the state of the art bert https arxiv org abs 1810 04805 model for language representation to build our bert based nlp text classifier you will use a product reviews dataset where each record contains some review text and a star rating 1 5 you will also get hands on with advanced model training and deployment techniques such as hyper parameter tuning a b testing and auto scaling lastly you will setup a real time streaming analytics and data science pipeline to perform window based aggregations and anomaly detection learning objectives for the book examples attendees will learn how to do the following ingest data into s3 using amazon athena and the parquet data format visualize data with pandas matplotlib on sagemaker notebooks detect statistical data bias with sagemaker clarify perform feature engineering on a raw dataset using scikit learn and sagemaker processing jobs store and share features using sagemaker feature store train and evaluate a custom bert model using tensorflow keras and sagemaker training jobs evaluate the model using sagemaker processing jobs track model artifacts using amazon sagemaker ml lineage tracking run model bias and explainability analysis with sagemaker clarify register and version models using sagemaker model registry deploy a model to a rest endpoint using sagemaker hosting and sagemaker endpoints automate ml workflow steps by building end to end model pipelines using sagemaker pipelines airflow aws step functions kubeflow pipelines tfx and mlflow perform automated machine learning automl to find the best model from just your dataset with low code find the best hyper parameters for your custom model using sagemaker hyper parameter tuning jobs deploy multiple model variants into a live production a b test to compare online performance live shift prediction traffic and autoscale the winning variant using sagemaker hosting and sagemaker endpoints setup a streaming analytics and continuous machine learning application using amazon kinesis and sagemaker instructions to run the book examples 0 create an aws account if you don t already have one follow the instructions here english https aws amazon com premiumsupport knowledge center create and activate aws account german https aws amazon com de premiumsupport knowledge center create and activate aws account japanese https aws amazon com jp premiumsupport knowledge center create and activate aws account portuguese https aws amazon com pt premiumsupport knowledge center create and activate aws account 1 login to aws console console img aws console png 2 launch sagemaker studio in the aws console search bar type sagemaker and select amazon sagemaker to open the service console search box sagemaker img search box sagemaker png notebook instances img stu notebook instances 9 png quick start img sm quickstart iam existing png pending studio img studio pending png open studio img studio open png loading studio img studio loading png 3 update iam role open the aws management console https console aws amazon com console home configure iam to run the book examples iam 1 img sagemaker iam 1 png iam 2 img sagemaker iam 2 png iam 3 img sagemaker iam 3 png back to sagemaker img alt back to sagemaker 8 png 4 launch a new terminal within studio click file new terminal to launch a terminal in your jupyter instance terminal studio img studio terminal png 5 clone this github repo in the terminal within the terminal run the following cd git clone b oreilly book https github com data science on aws data science on aws if you see an error like the following just re run the command again until it works fatal unable to create git index lock file exists another git process seems to be running in this repository e g an editor opened by git commit please make sure all processes are terminated then try again if it still fails a git process may have crashed in this repository earlier remove the file manually to continue note just re run the command again until it works 6 start the book examples navigate to data science on aws in sagemaker studio and start the book examples you may need to refresh your browser if you don t see the new data science on aws directory | ai |
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GEKKO | gekko gekko http gekko readthedocs io en latest is a python package for machine learning and optimization https machinelearning byu edu specializing in time series and differential algebraic equations dae systems gekko provides a user friendly interface to the apmonitor optimization suite http apmonitor com wiki it is coupled with large scale solvers for linear quadratic nonlinear and mixed integer programming lp qp nlp milp minlp modes of operation include parameter regression dynamic data reconciliation real time optimization dynamic simulation and nonlinear predictive control gekko logo gekko png installation a pip package is available sh pip install gekko the most recent version is listed on pypi https pypi org project gekko you can upgrade from the command line with the upgrade flag sh pip install upgrade gekko gekko runs in remote mode solved on high performance server or on a local cpu when option remote false such as m gekko remote false the pip package includes the windows executable apm exe a linux executable apm a macos executable apm mac and a linux arm processor executable such as for a raspberry pi apm arm gekko can be used with remote server access default option for all operating systems what does gekko do gekko is optimization software for machine learning and optimization of mixed integer and differential algebraic equations it is coupled with large scale solvers for linear quadratic nonlinear and mixed integer programming lp qp nlp milp minlp modes of operation include data reconciliation real time optimization dynamic simulation and nonlinear predictive control the client or server is freely available with interfaces in matlab python or from a web browser gekko is a high level abstraction of mathematical optimization problems values in the models are defined by constants parameters and variables the values are related to each other by intermediates or equations objective functions are defined to maximize or minimize certain values objects are built in collections of values constants parameters and variables and relationships intermediates equations and objective functions objects can build upon other objects with object oriented relationships the apmonitor executable on the back end compiles a model to byte code and performs model reduction based on analysis of the sparsity structure incidence of variables in equations or objective function of the model for differential and algebraic equation systems orthogonal collocation on finite elements is used to transcribe the problem into a purely algebraic system of equations apmonitor has several modes of operation adjustable with the imode parameter the core of all modes is the nonlinear model each mode interacts with the nonlinear model to receive or provide information the 9 modes of operation are 1 steady state simulation ss 1 model parameter update mpu 1 real time optimization rto 1 dynamic simulation sim 1 moving horizon estimation est 1 nonlinear control dynamic optimization ctl 1 sequential dynamic simulation sqs 1 sequential dynamic estimation sqe 1 sequential dynamic optimization sqo modes 1 3 are steady state modes with all derivatives set equal to zero modes 4 6 are dynamic modes where the differential equations define how the variables change with time modes 7 9 are the same as 4 6 except the solution is performed with a sequential versus a simultaneous approach each mode for simulation estimation and optimization has a steady state and dynamic option apmonitor provides the following to a nonlinear programming solver apopt bpopt ipopt minos snopt in sparse form variables with default values and constraints objective function equations evaluation of equation residuals sparsity structure gradients 1st derivatives gradient of the equations gradient of the objective function hessian of the lagrangian 2nd derivatives 2nd derivative of the equations 2nd derivative of the objective function once the solution is complete apmonitor writes the results in results csv that is loaded back into the python variables by gekko when the system of equations does not converge apmonitor produces a convergence report in infeasibilities txt there are other levels of debugging that help expose the steps that apmonitor is taking to analyze or solve the problem setting apm diaglevel to higher levels 0 10 gives more output to the user setting apm coldstart to 2 decomposes the problem into irreducible sets of variables and equations to identify infeasible equations or properly initialize a model | ai |
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NLP-Notebooks-Newspaper-Collections | nlp notebooks for newspaper collections a collection of notebooks for natural language processing the following notebooks are aimed particularly at digital humanities scholars who use newspapers as a source the focus lies on topic specific collection building a field that is becoming increasingly interesting with better article separation very specific research problems are addressed such as building up collections with ambiguous keywords or working with certain genres in order to best meet the needs of digital humanities scholars nlp methods are adapted in new ways the output is human readable and the processed newspaper articles can be exported in the form of the original file in addition the notebooks allow the users to control the single steps and to choose what is best for their collection while the newseye demonstrator offers the possibility to create datasets quickly and effectively these notebooks offer possibilities to work on these collections according to specific questions 1 text classification for topic specific newspaper collections text classification for topic specific newspaper collections 2 group similar newspaper articles group similar newspaper articles 3 discover a newspaper collection with diachronic ngram clouds discover a newspaper collection with diachronic ngram clouds 4 discourse in spanish flu coverage discourse in spanish flu coverage 5 topic modeling and uses of the term telegraph in the context of journalism topic modeling and uses of the term telegraph in the context of journalism text classification for topic specific newspaper collections a href https github com newseye nlp notebooks newspaper collections blob master text classification of newspaper clippings notebook ipynb target blank go to notebook a text classification is the process of categorizing text into pre defined groups by using natural language processing nlp text classifiers can automatically analyze text and then assign a set of given categories based on the research question this automated classification of text into predefined categories is an important method for managing and processing a large number of newspaper clippings this also applies to subcorpora for a specific research topic e g migration the aim of this notebook is to train a model using your previously manually created training test corpus and to use this model to get an overview of the category distribution throughout your collection see figure below another goal is to export your categorized data for further analysis this makes it possible to examine for example the advertisement about a specific topic this notebook was used with a collection for the case study on emigration and shows how a model can be trained to classify topic specific collections for the training testing corpus a collection with the keywords auswander ausgewanderte emigrant emigrierte emigration kolonist and ansiedler all different german words for emigrants or emigration have been created in addition information on the pre defined gropus news ads culture were added using numbers between one and ten for classification topic modelling lda was chosen because it showed the best performance in classification after experiments with word embeddings or lda and word embeddings combined lda provides a way to group documents by topic and perform similarity searches and improve precision thanks to sklearn it is relatively easy to test different classifiers for a given topic classification task logistic regression was chosen as binary classifier output graph using an unseen collection on the topic of emigration sample of 1631 newspaper clippings collection on the topic of emigration images cat png group similar newspaper articles a href https github com newseye nlp notebooks newspaper collections blob master news article similarity notebook ipynb target blank go to notebook a many researchers have the problem that their data sets contain articles that are irrelevant to their research question for example if the goal is to find newspaper articles or news items on return migration researchers have to deal with some ambiguous search terms the german words heimkehr returning home or r ckkehr returning back lead to many articles that are relevant to the research question but also to articles that are not relevant e g return from a mountain tour work etc by using topic models and document similarity measurements this notebook allows me to exclude these articles without combining the word heimkehr with other search terms furthermore the same code can also be used to remove or prefer a certain genre e g advertising sports news etc to give another example if i want to create a collection of articles about the disease cancer one of the important german words for cancer is krebs but krebs in german is also a common surname an animal crab or a sign of the zodiac the main purpose of this notebook is to take into account the context of articles in order to automatically refine a search query this means that even ambiguous words can be used for the search without having to combine them with other words making the search less influenced by the researcher s prior knowledge and avoiding a too narrow tunnel vision so how is this working given a manually annotated collection of articles containing relevant as well as non relevant articles this program will get the topic distribution of each document using lda gensim library these topic distributions serve as a comparison for other unseen articles in order to automatically distinguish between relevant and non relevant articles the annotations are used for evaluation and counting the relevance probability for an unseen article for the comparison the jensen shannon distance method is used to measure the similarity between the topic distribution of an unseen article and the topic distribution of the training corpus therefore the topic distribution of each new article will be compared to the topic distribution of the articles in the trained corpus then for each unseen article the 10 most similar articles from the training corpus are being extracted these articles carry the information about the manually assigned relevancy if 60 precent of the automatically found similar articles were annotated as relevant the new article will be marked as relevant otherwise it will be marked as irrelevant using two different datasets one about cancer and one about return migration the average score of correct selected articles is between 80 and 90 percent images nk png discover a newspaper collection with diachronic ngram clouds a href https github com newseye nlp notebooks newspaper collections blob master n gram clouds notebook ipynb target blank go to notebook a ngrams are connected sequences of n items from a given text or speech sample this means that words are not considered as individual units but in relation to each other for scholars in the humanities ngrams can be helpful to get an overview of their collection or to identify discourse markers discourse a group of related texts belonging to a common system of formation ngrams can never be a research result per se which is true for any output of nlp methods but they can help to find important patterns in a particular collection ngrams images wc png if ngrams are used to identify discourse markers it can be useful to create diachrinic ngrams to explore the change of rextual patterns this notebook therefore shows how diachronic ngrams can be build and visualized for cultural heritage material visualizations should make it possible to open up and experience the collections in new ways but they should always be linked to the original documents the graphic representation and the original material cannot be perceived as two different elements they are rather interwoven and interact with each other therefore this notebook allows to browse the original texts within the notebook thus the results of the ngram clouds can be researched in the context of the original text discourse in spanish flu coverage a href https mybinder org v2 gh soberbichler discourse in spanish flu coverage notebook head target blank go to notebook a this notebook was created with the aim of using it in workshops and for teaching purposes the notebook was launched via binder which allows one to turn a jupyter notebook into a interactive notebook making the code immediately reproducible by anyone without prior installations this is especially helpful for digital humanities courses because it allows students to get started with jupyter notebooks the notebook enables the creation of diachronic ngrams and topic visualizations based on exports from the newseye demonstrator tm images tm png topic modeling and uses of the term telegraph in the context of journalism a href https gitlab phaidra org bekesij9 newseye blob master workflow ipynb target blank go to notebook a this notebook was created by j nos b k si and martin gasteiner with the aim to investigate the usage of the term telepraph in austrian historical newspapers the data analysed in this notebook was exported from the newseye platform which is based on the content management system blacklight the data used here is based on a general search on the basis of the search engine solr for articles on the word telegraph in the following time periods 1864 1874 1895 1901 1911 1922 the search was carried out in the following german language newspapers namely neue freie presse innsbrucker nachrichten arbeiter zeitung and illustrierte kronen zeitung the resulting data package was exported as json and processed with regard to topic modelling the notebooks shows how topic models can be trained visualized and how diachronic topic models can be created tm images martin png | lda topic-modeling shannon nlp-notebooks digital-humanities newspaper-collections newspaper-clippings text-classification similarity | ai |
vscode-azure-iot-toolkit | azure iot hub join the chat at https gitter im microsoft azure iot toolkit https badges gitter im microsoft azure iot toolkit svg https gitter im microsoft azure iot toolkit utm source badge utm medium badge utm campaign pr badge utm content badge marketplace version https vsmarketplacebadge apphb com version short vsciot vscode azure iot toolkit svg https marketplace visualstudio com items itemname vsciot vscode azure iot toolkit overview interact with azure iot hub iot device management iot edge management iot hub device simulation iot hub code generation and iot hub device provisioning service device explorer the wiki page https github com microsoft vscode azure iot toolkit wiki includes a comprehensive getting started guide as well as detailed usage instructions of the following features iot hub management create iot hub select iot hub copy iot hub connection string generate sas token for iot hub device management list devices get device info create iot device create edge device delete device copy device connection string generate sas token for device module management list modules get module info create module edit module twin invoke module direct method copy module connection string delete module interact with azure iot hub generate code for c f go java node js php python ruby or rest api send d2c message to iot hub monitor built in event endpoint send c2d message to device receive c2d message from iot hub invoke device direct method edit device twin manage azure iot distributed tracing interact with azure iot edge install azure iot edge https marketplace visualstudio com items itemname vsciot vscode azure iot edge for more iot edge support list modules edit module twin create deployment for single device create deployment at scale endpoints management list built in and custom endpoints monitor custom event hub endpoint prerequisites 1 in explorer of vs code click azure iot hub in the bottom left corner click device explorer images device explorer click png 2 click set iot hub connection string in context menu set connection string images set connection string png 3 an input box will pop up then enter your iot hub connection string it is one time configuration and please make sure it is iot hub connection string not device connection string the format is hostname my hub azure devices net sharedaccesskeyname my policy sharedaccesskey my policy key enter connection string images enter connection string png 4 the devices list will be shown device explorer images device explorer png sign in to azure instead of copying and pasting to set iot hub connection string you could sign in to azure to select iot hub from your azure subscription 1 click select iot hub in context menu select iot hub images select iot hub png 2 if you have not signed in to azure a pop up will show to let you sign in to azure 3 after you sign in your azure subscription list will be shown then select an azure subscription 4 your iot hub list will be shown then select an iot hub 5 the devices and endpoints list will be shown iot hub explorer images iot hub explorer png device provisioning service explorer 1 open azure view on the activity bar and expand iot hub device provisioning service dps explorer images dps explorer png 2 if you re not signed in click sign in to azure to sign in 3 expand one subscription to start exploring your device provisioning services code generation code generation images code generation gif code snippets trigger content iotsendd2cmessage send d2c message to iot hub iotmonitord2cmessage monitor d2c message for iot hub iotsendc2dmessage send c2d message to device iotmonitorc2dmessage monitor c2d message from iot hub iotcalldirectmethods send direct methods to device iotreceivedirectmethods receive direct methods from iot hub snippet images snippet gif after code snippet is created you need to install corresponding npm package e g azure iot device mqtt https www npmjs com package azure iot device mqtt to run the code snippet if you want to run code directly you need to install code runner https marketplace visualstudio com items itemname formulahendry code runner configuration iot hub consumer group default is default json azure iot toolkit iothubconsumergroup default the time span in minutes of monitoring d2c message before current time default is 0 json azure iot toolkit monitord2cbeforenowinminutes 0 whether to show verbose info when monitoring messages default is false json azure iot toolkit showverbosemessage false whether to stringify device to cloud messages default is false json azure iot toolkit iothubd2cmessagestringify false whether to show iot hub info when iot hub connection string is not set default is true json azure iot toolkit showiothubinfo true whether to enable auto refresh of tree view default is false json azure iot toolkit treeviewautorefreshenable false time interval in seconds for tree view auto refresh auto refresh has to be enabled for it to work default is 60 json azure iot toolkit treeviewautorefreshintervalinseconds 60 resources channel 9 video walkthrough of azure iot hub extension https channel9 msdn com shows internet of things show azure iot toolkit extension for visual studio code channel 9 video what s new in the iot hub extension for vs code https channel9 msdn com shows internet of things show whats new in the iot toolkit extension for vs code create an iot hub using the iot hub extension for vs code https docs microsoft com en us azure iot hub iot hub create use iot toolkit use azure iot hub extension to send and receive messages between your device and iot hub https docs microsoft com en us azure iot hub iot hub vscode iot toolkit cloud device messaging use azure iot hub extension for device management https docs microsoft com en us azure iot hub iot hub device management iot toolkit quickly build your azure iot application with node js python or rest api https devblogs microsoft com iotdev azure iot toolkit 1 2 0 quickly build your azure iot application in vs code with node js python or rest api azure iot hub extension supports c go java node js php python and ruby to develop azure iot application in vs code https devblogs microsoft com iotdev azure iot toolkit supports c go java node js php python and ruby to develop azure iot application in vs code use vs code as iot hub device simulator https blogs msdn microsoft com iotdev 2018 07 12 use vs code as iot hub device simulator say hello to azure iot hub in 5 minutes use vs code to call azure iot hub rest apis https blogs msdn microsoft com iotdev 2018 07 19 call azure iot hub rest apis in vs code create and control an iot device connected to an iot hub node js https github com microsoft vscode azure iot toolkit wiki quickstart node js create and control an iot device connected to an iot hub net https github com microsoft vscode azure iot toolkit wiki quickstart net handy tool when you develop with azure iot https blogs msdn microsoft com iotdev 2017 09 01 handy tool when you develop with azure iot azure iot hub extension for visual studio code generally available for managing azure iot hub and devices with ease https blogs msdn microsoft com iotdev 2018 06 30 azure iot toolkit for visual studio code generally available for managing azure iot hub and devices with ease contributors thanks to all the contributors https github com microsoft vscode azure iot toolkit graphs contributors data telemetry this project collects usage data and sends it to microsoft to help improve our products and services read our privacy statement http go microsoft com fwlink linkid 521839 to learn more if you don t wish to send usage data to microsoft you can set the telemetry enabletelemetry setting to false learn more in our faq https code visualstudio com docs supporting faq how to disable telemetry reporting | vscode-extension azure-iot azure-iothub azure-iot-edge azure-iot-toolkit iot | server |
ARINC653_ARMV7A_AM335X | arinc653 armv7a am335x bare metal real time operating system rtos for am335x processors beaglebone beaglebone black based on the arinc 653 part 1 specification compiler version the following instructions consider the use of the code composer studio ide version 10 4 0 00006 configuration for compilation project properties general variant am3359 cortex a compiler version ti v18 12 4 lts or equivalent output format eabi elf device endianness little linker command file runtime support library automatic project properties build arm compiler processor options target processor version 7a8 designate code state 32 specify floating point support vfpv3 project properties build arm compiler include options add workspace loc projname hardware include add workspace loc projname arinc653 port include add workspace loc projname arinc653 include add workspace loc projname instruments include add workspace loc projname library usblib include if usb is to be used project properties build arm compiler predefined symbols add debug add beaglebone add am335x add am3359 add measure if execution times measurement is desired add measure suppresstick if measurements shall not include time consumed by the os in handling the tick interrupt add measure suppressothercontexts if measurements shall not include time consumed in contexts other than the one that requested the measurement use only together with measure suppresstick add track if os related events tracking is desired add disable branchprediction if the branch prediction mechanism shall not be enabled add disable instructioncache if instruction cache shall not be enabled add disable datacache if data cache shall not be enabled project properties build arm linker advanced options runtime environment set initialization model to none project properties build arm compiler advanced options diagnostic options add 1557 to suppress diagnostic id diag suppress pds project properties ccs build steps post build steps ccs install root utils tiobj2bin tiobj2bin bat project loc configname projname out project loc configname projname bin cg tool root bin armofd exe cg tool root bin armhex exe ccs install root utils tiobj2bin mkhex4bin exe project loc tools tiimage exe 0x80000000 none project loc configname projname bin project loc configname app copy project loc configname projname bin project loc configname app xmodem ccs install root utils tiobj2bin tiobj2bin project loc configname projname out project loc configname projname bin cg tool root bin armofd cg tool root bin armhex ccs install root utils tiobj2bin mkhex4bin project loc tools tiimage 0x80000000 none project loc configname projname bin project loc configname app cp project loc configname projname bin project loc configname app xmodem debugging on the target platform when the launching debug session window is shown select only the cortxa8 device click ok | beaglebone beaglebone-black arinc653 am335x rtos realtime real-time operating-system bare-metal baremetal baremetal-os arm arinc | os |
IFE | alloyteam http alloyteam github io codeguide git github git git http damonare github io 2016 11 13 git 20 e5 91 bd e4 bb a4 e6 80 bb e7 bb 93 more git http www liaoxuefeng com wiki 0013739516305929606dd18361248578c67b8067c8c017b000 http ife baidu com task all fork damonare tjz pull request xd font end circle branch base https xdlrt github io 2016 03 20 2016 03 20 box shadow https xdlrt github io 2016 03 06 2016 03 06 css damonare http damonare github io 2016 09 06 css e5 b1 85 e4 b8 ad e5 b0 8f e8 b0 88 more git git commit github 11 21 http ife baidu com task detail taskid 1 html 11 24 http ife baidu com task detail taskid 2 css 11 27 http ife baidu com task detail taskid 3 11 30 http ife baidu com task detail taskid 4 12 3 http ife baidu com task detail taskid 5 css 12 6 http ife baidu com task detail taskid 6 less sass stylus 12 9 http ife baidu com task detail taskid 7 chrome 12 12 http ife baidu com task detail taskid 8 12 15 http ife baidu com task detail taskid 10 flexbox 12 18 http ife baidu com task detail taskid 12 css3 12 21 | front_end |
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MCTE4342-EMB-System-Design | mcte4342 emb system design mcte 4342 embedded system design week 4 lecture in week 4 explains about how to access gpio using arduino library some theory background on gpio accessing gpio directly and some programming examples | os |
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IoT-Firstep | iot firstep iot 4 0 windows repo 4 x 4 x ios 4 x https github com nladuo iot firstep blob master book preface md 1 arduino https github com nladuo iot firstep blob master book 1 0 md 1 1 arduino https github com nladuo iot firstep blob master book 1 1 md 1 2 led https github com nladuo iot firstep blob master book 1 2 md 1 3 pwm https github com nladuo iot firstep blob master book 1 3 md 1 4 uart https github com nladuo iot firstep blob master book 1 4 md 2 net https github com nladuo iot firstep blob master book 2 0 md 2 1 winform https github com nladuo iot firstep blob master book 2 1 md 2 2 serialport https github com nladuo iot firstep blob master book 2 2 md 3 android https github com nladuo iot firstep blob master book 3 0 md 3 1 https github com nladuo iot firstep blob master book 3 1 md 3 2 helloactivity https github com nladuo iot firstep blob master book 3 2 md 3 3 linearlayout https github com nladuo iot firstep blob master book 3 3 md 3 4 intent activity https github com nladuo iot firstep blob master book 3 4 md 3 5 listview baseadapter https github com nladuo iot firstep blob master book 3 5 md 3 6 service https github com nladuo iot firstep blob master book 3 6 md 3 7 android https github com nladuo iot firstep blob master book 3 7 md 3 8 broadcastreciever https github com nladuo iot firstep blob master book 3 8 md 4 golang https github com nladuo iot firstep blob master book 5 0 md 4 1 go https github com nladuo iot firstep blob master book 5 1 md 4 2 go https github com nladuo iot firstep blob master book 5 2 md 4 3 go https github com nladuo iot firstep blob master book 5 3 md 4 4 go web gin https github com nladuo iot firstep blob master book 5 4 md 4 5 go https github com nladuo iot firstep blob master book 5 5 md 5 4 0 rgb https github com nladuo iot firstep blob master book 6 0 md 5 1 rgb https github com nladuo iot firstep blob master book 6 1 md 5 2 rgb https github com nladuo iot firstep blob master book 6 2 md 5 3 4 0 https github com nladuo iot firstep blob master book 6 3 md 5 4 4 0 https github com nladuo iot firstep blob master book 6 4 md 5 5 rgb https github com nladuo iot firstep blob master book 6 5 md 6 https github com nladuo iot firstep blob master book 7 0 md 6 1 arduino https github com nladuo iot firstep blob master book 7 1 md 6 2 enc28j60 https github com nladuo iot firstep blob master book 7 2 md 6 3 https github com nladuo iot firstep blob master book 7 3 md a android studio https github com nladuo iot firstep blob master book appendixa md qrcode resource qrcode jpg license gpl 3 0 | iot tutorials internet-of-things | server |
personal-space | personal space mobile application development project div img src https github com it21026898 personal space blob main app src main res drawable dashpg png height 500 hspace 20 vspace 40 img src https github com it21026898 personal space blob main app src main res drawable loginpg png height 500 hspace 20 vspace 40 img src https github com it21026898 personal space blob main app src main res drawable allpg png height 500 hspace 20 vspace 40 div | front_end |
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GCP_CDE_Program | gcp cde program google cloud data engineering training program | cloud |
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panic | panic monitoring and alerting for blockchains disclaimer don t allow public access to panic ui as it might contain sensitive information about your infrastructure ui authentication is still to be developed panic banner docs images panic banner png panic is an open source monitoring and alerting solution for cosmos sdk substrate and chainlink based nodes by simply vc https simply vc com mt the tool was built with user friendliness in mind and comes with numerous features such as phone calls for critical alerts a ui dashboard a web based installation process and telegram slack commands for increased control over your alerter we are sure that panic will be beneficial for node operators and we look forward for feedback feel free to read on if you are interested in the design of the alerter if you wish to try it out or if you would like to support and contribute to this open source project design and features if you want to dive into the design and feature set of panic click here docs design and features md installation guide we will now guide you through the steps required to get panic up and running we recommend that panic is installed on a linux system and that everything needed in the requirements requirements section is done before the installation procedure is started as you will notice below panic supports many alerting channels it is recommended that at least one of the alerting channels mentioned in the requirements section is set up requirements git command line tools click here git installation if you want a guide to set it up docker and docker compose this installation guide uses docker and docker compose to run panic these will need to be installed click here docker and docker compose installation if you want a guide to set it up optional node exporter this will be used to monitor the systems on which the nodes are running if you want your nodes systems to be monitored this step is no longer optional node exporter must also be installed on each machine that you want to monitor click here node exporter setup if you want a guide to set it up telegram account and bots for telegram alerts and commands click here telegram setup if you want a guide to set it up slack account and app for slack alerts and commands click here slack setup if you want a guide to set it up twilio account for phone call alerts click here twilio setup if you want a guide to set it up pagerduty account for notifications and phone call alerts click here pagerduty setup if you want a guide to set it up opsgenie account for notifications and phone call alerts click here opsgenie setup if you want a guide to set it up installation tip if your terminal is telling you that you do not have permissions to run a command try adding sudo to your command e g sudo docker version this will run your command as root if you have any issues during the installation procedure check out the faq docs faq md section git installation note skip this step if git is already installed firstly we will install and verify your git installation bash install git sudo apt install git verify that git is now installed git version this should give you the current version of git that has been installed docker and docker compose installation note skip this step if docker and docker compose is already installed first install docker and docker compose by running these commands on your terminal bash install docker and docker compose curl ssl https get docker com sh sudo apt install docker compose y confirm that installation successful docker version docker compose version these should give you the current versions of the software that have been installed at the time of writing the current working docker version is 20 10 10 while the docker compose version is 1 25 0 if you have a different version that doesn t allow you to run the docker compose yml file then either upgrade your versions of docker and docker compose or change the version inside of the docker compose yml file which is currently at 3 7 configuration setup bash clone the panic repository and navigate into it git clone https github com simplyvc panic cd panic now that you re inside the panic directory open up the env file and change the ui access ip field to the ip of where panic ui is going to be hosted can be set to localhost if running locally this is to ensure that the api panic ui backend is only accessible from the ui helper scripts which can be used to get the ip address scripts get ip linux sh and scripts get ip mac sh are available but please note that these are not guaranteed to work on all servers machines bash this will access the env file on your terminal nano env once inside change ui access ip accordingly here is an example ini ui access ip 1 1 1 1 then to exit hit the following keys 1 to exit your env file kbd ctrl kbd kbd x kbd 2 to select yes to save your modified file kbd y kbd 3 to confirm the file name and exit kbd enter kbd running panic once you have everything setup you can start panic by running the below command bash docker compose up d build note if build fails run these commands to clean your docker images and try again please be aware that these commands will also stop other docker images that you might have running on your system bash docker compose kill docker system prune a volumes docker compose up d build the next step is to configure panic to monitor your nodes and systems as well as give it the channels to alert you through you can do this by navigating to the panic ui at https ui access ip 3333 or at https localhost 3333 if you re running it locally the panic ui will start the installation procedure if it does not detect any configurations make sure you type https if you re getting an error when accessing panic ui on your browser after you set up panic to your liking the installation procedure will save these details in the mongo database for correct behavior the database should never be modified manually if you would like to edit the configurations at some point you can do so by accessing the settings option on the panic ui header panic will automatically read these configuration files and begin monitoring the data sources to confirm that panic is running as expected we suggest running the command docker compose logs f alerter and docker compose logs f health checker by this you can see the different components starting up if you have set up telegram slack commands we suggest that you enter the command status telegram or panicstatus slack to check that all panic components are running if you want to check that every panic component is up and running without any issue we suggest that you check that all the logs inside panic alerter logs have no errors after panic is up and running you can visualise node metrics and alerts using panic ui at https ui access ip 3333 or at https localhost 3333 if you re running it locally for more information regarding panic ui click here ui readme md congratulations you should have panic up and running optional installations node exporter setup note this needs to be done on every host machine that you want the system metrics monitored and alerted on github link https github com prometheus node exporter to most recent version of node exporter we support create a node exporter user for running the exporter bash sudo useradd no create home shell bin false node exporter download and extract the latest version of node exporter bash wget https github com prometheus node exporter releases download v0 18 1 node exporter 0 18 1 linux amd64 tar gz tar xzvf node exporter 0 18 1 linux amd64 tar gz send the executable to usr local bin bash sudo cp node exporter 0 18 1 linux amd64 node exporter usr local bin give the node exporter user ownership of the executable bash sudo chown node exporter node exporter usr local bin node exporter perform some cleanup and create and save a node exporter service with the below contents bash sudo rm node exporter 0 18 1 linux amd64 rf sudo nano etc systemd system node exporter service ini unit description node exporter wants network online target after network online target service user node exporter group node exporter type simple execstart usr local bin node exporter install wantedby multi user target reload systemctl services list start the service and enable it to have it start on system restart bash sudo systemctl daemon reload sudo systemctl start node exporter sudo systemctl enable node exporter sudo systemctl status node exporter check if the installation was successful by checking if node ip port metrics is accessible from a web browser back to the requirements requirements telegram setup 1 to create a free telegram account download the app for android iphone https telegram org and sign up using your phone number 2 to create a telegram bot add botfather https telegram me botfather on telegram press start and follow the below steps 1 send a newbot command and fill in the requested details including a bot name and username 2 take a note of the api token which looks something like 111111 aaa aaa111111 aaaaa11111 3 access the link t me username to your new bot given by botfather and press start 4 access the link api telegram org bot token getupdates replacing token with the bot s api token this gives a list of the bot s activity including messages sent to the bot 5 the result section should contain at least one message due to us pressing the start button if not sending a start command to the bot should do the trick take a note of the id number in the chat section of this message 6 one bot is enough for now you can repeat these steps to create more bots at the end you should have 1 a telegram account 2 a telegram bot at least one 3 the telegram bot s api token at least one 4 the chat id of your chat with the bot at least one back to the requirements requirements slack setup 1 login https slack com signin to slack using an existing account or sign up https slack com get started for a slack account 2 if you are not in a workspace join a workspace from an invite or create https slack com create a workspace 3 create a channel within the workspace which will be used to receive notifications and interact with the slack bot 3 to create a slack app visit the slack apps page https api slack com apps and press create new app the steps below are to be used to set up the app which includes gathering the app level token the bot token and the channel id 1 click the from an app manifest option in the pop up window 2 select the workspace which contains the target channel 3 copy the yaml app manifest slack manifest yaml provided within the panic repository and overwrite the default yaml provided by slack 4 click next followed by create 5 scroll down to the app level tokens section and click generate token and scopes 6 enter a token name this is just a reference to the token which can be set to anything add the connections write scope and click generate 7 take note of the token generated this is the app level token 8 go to the install app setting left pane and click install to workspace followed by allow 9 go to the oauth permissions feature left pane and take note of the bot user oauth token 10 add the newly created panic notifications app to the target channel by typing add within the channel and selecting add apps to this channel 11 right click the actual app that was added to the workspace then open app details and from there add app to channel 4 go to the slack client right click the name of the target slack channel within the list of channels left pane click open channel details and take note of the channel id found at the bottom at the end you should have 1 access to a slack workspace 2 a slack account app and channel 3 the slack app s bot user token and app level token 4 the id of the target slack channel back to the requirements requirements twilio setup to create a free trial twilio account head to the try twilio page https www twilio com try twilio and sign up using your details next three important pieces of information have to be obtained 1 navigate to the account dashboard page https www twilio com console 2 click the get a trial number button in the dashboard to generate a unique number 3 take a note of the i twilio phone number 4 take a note of the ii account sid and iii auth token all that remains now is to add a number that twilio is able to call 1 navigate to the verified caller ids page https www twilio com console phone numbers verified 2 press the red to add a new personal number and follow the verification steps 3 one number is enough for now you can repeat these steps to verify more than one number at the end you should have 1 a twilio phone number 2 the account sid available in the account dashboard 3 the auth token available in the account dashboard 4 a verified personal phone number at least one if you wish to explore more advanced features panic also supports configurable twiml https www twilio com docs voice twiml instructions which can re program twilio to do more than just call numbers by default the twiml is set to reject calls https www twilio com docs voice twiml reject as soon as the recipient picks up without any charges this can be re configured from the twilio section of the env file to either a url or raw twiml instructions back to requirements requirements pagerduty setup it is assumed that a user has previously used pagerduty and has a pagerduty account if not head to the pagerduty sign up page https www pagerduty com sign up and sign up using your details first you need to add a service and get two important pieces of information firstly the integration key 1 navigate to the add new services button on the right side of the page 1 name your service and give it a description 2 in the integration settings select use our api directly and choose events api v2 3 the rest can be configured to your preferences 4 click add service 2 you will be taken to a new page where you need to navigate to the integrations tab and take note of the i integration key at the end you should have 1 the integration key this will be used later on in the installation procedure note you can also install an app for android iphone as well as setup your phone number to receive alerts back to requirements requirements opsgenie setup it is assumed that a user has previously used opsgenie and has an opsgenie account if not head to the opsgenie sign up page https www atlassian com software opsgenie try and sign up using your details let s go through the process of setting up your api 1 click on integrate with jira and your monitoring tools on your home page 2 make sure api integration is selected 3 click save integrations 4 click now go to the integrations page and explore 5 navigate to the api you just set up and take note of api key at the end you should have 1 the api token this will be used later on in the installation procedure note you can also install the opsgenie app for android iphone as well as setup your phone number to receive calls back to requirements requirements replacing ssl certificates recommended apply your own ssl certificate signed by a certificate authority the ssl certificate cert pem and the key key pem should be placed in the panic certificates folder and they should replace the existing dummy files note that these dummy files were given just for convenience as the api panic ui backend server won t start without them however for maximum security these must be replaced we suggest reading this https nodejs org en knowledge http servers how to create a https server for more details on ssl certificates and how to generate a self signed certificate in case you do not want to obtain a certificate signed by a certificate authority however for maximum security the self signed certificate option is not recommended running the panic test suite to run the tests for the alerter component within panic do the following bash docker compose kill to stop any running containers to avoid conflicts docker compose p panic tests f docker compose tests yml up build d to build the tests container docker compose p panic tests f docker compose tests yml logs test suite to see the result of the tests docker compose p panic tests f docker compose tests yml kill to remove test environment to run the tests for the api component within panic navigate to the api directory and do the following bash npm install install api project dependencies npm test run api unit tests to run the tests for the substrate api component within panic navigate to the substrate api directory and do the following bash npm install install api project dependencies npm test run api unit tests to run the tests for the ui component within panic navigate to the ui directory and do the following bash npm install install ui project dependencies npm test run ui e2e and unit tests support and contribution on top of the additional work that we will put in ourselves to improve and maintain the tool any support from the community through development will be greatly appreciated who we are simply vc runs highly reliable and secure infrastructure in our own datacentre in malta built with the aim of supporting the growth of the blockchain ecosystem read more about us on our website and twitter simply vc website https simply vc com mt simply vc twitter https twitter com simply vc | alerter blockchain chainlink cosmos substrate monitoring | blockchain |
streampipes | licensed to the apache software foundation asf under one or more contributor license agreements see the notice file distributed with this work for additional information regarding copyright ownership the asf licenses this file to you 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 github actions https img shields io github actions workflow status apache streampipes build yml https github com apache streampipes actions docker pulls https img shields io docker pulls apachestreampipes backend svg https hub docker com r apachestreampipes 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22good first issue 22 br linkedin https img shields io badge linkedin 0077b5 style for the badge logo linkedin logocolor white https linkedin com company apache streampipes twitter https img shields io badge twitter 1da1f2 style for the badge logo twitter logocolor white https twitter com streampipes h1 align center br img src https streampipes apache org img sp logo color png alt streampipes logo title apache streampipes logo width 50 br h1 h3 align center self service data analytics for the industrial iot h3 h4 align center streampipes is a self service industrial iot toolbox to enable non technical users to connect analyze and explore iot data streams h4 p align center img src https raw githubusercontent com apache streampipes dev images streampipes overview png alt streampipes overview p table of contents about apache streampipes about apache streampipes user interface userinterface installation installation documentation documentation building streampipes building streampipes pipeline elements pipeline elements extending streampipes extending streampipes bugs and feature requests bugs and feature requests get help get help contribute contribute feedback feedback license license about apache streampipes apache streampipes makes industrial data analytics easy streampipes is an end to end toolbox for the industrial iot it comes with a rich graphical user interface targeted at non technical users and provides the following features quickly connect 20 industrial protocols such as opc ua plcs mqtt rest pulsar kafka and others create data harmonization and analytics pipelines using 100 algorithms and data sinks to forward data to third party systems use the data explorer to visually explore historical data with many widgets tailored for time series data a live dashboard to display real time data from data sources and pipelines e g for shopfloor monitoring streampipes is highly extensible and includes a java sdk to create new pipeline elements and adapters python support is available in an early development stage stay tuned pipeline elements are standalone microservices that can run anywhere centrally on your server or close at the edge you want to employ your own machine learning model on live data just write your own data processor and make it reusable as a pipeline element besides that streampipes includes features for production deployments assign resources such as pipelines data streams and dashboards to assets for better organization monitoring metrics of pipelines and adapters built in user and access rights management export and import resources user interface connect data from an opc ua server following a three step configuration process streampipes connect https raw githubusercontent com apache streampipes dev images streampipes connect gif create a pipeline to detect a continuous decrease using a trend detection data processor and a notification sink streampipes pipeline editor https raw githubusercontent com apache streampipes dev images streampipes pipelines gif visually analyze data using the data explorer streampipes data explorer https raw githubusercontent com apache streampipes dev images streampipes data explorer gif installation the quickest way to run streampipes including the latest extensions adapters pipeline elements is by using our docker based installation operation options installer namely streampipes compose installer compose the user s choice streampipes cli installer cli the developer s favorite streampipes k8s installer k8s the operator s dream important streampipes cli k8s are highly recommended for developers or operators standard users should stick to streampipes compose please follow the instructions provided in the corresponding readme md to get started for a more in depth manual read the installation guide https streampipes apache org docs try installation html note tl dr download the latest release switch to the installer compose directory and run docker compose up d documentation the full documentation is available here https streampipes apache org docs user guide introduction quick links installation https streampipes apache org docs try installation html create adapters https streampipes apache org docs use connect html create pipelines https streampipes apache org docs use pipeline editor html write you own pipeline elements https streampipes apache org docs extend archetypes html building streampipes to properly build the streampipes core the following tools should be installed prerequisites java 17 jdk we officially only support java 17 jdks above 17 might work as well but we don t provide any guarantee maven tested with 3 8 nodejs npm tested with v12 v6 docker docker compose building to build the core project do the following mvn clean package to build the ui switch to the ui folder and perform the following steps npm install npm run build starting to start streampipes run docker compose up build d from the root directory you can also use the installer or cli as described in the installation section pipeline elements streampipes includes a repository of extensions for adapters and pipeline elements connect adapters for a variety of iot data sources as well as data processors and data sinks as ready to use pipeline elements the source code of all included pipeline elements and adapters can be found here https github com apache streampipes tree dev streampipes extensions extending streampipes you can easily add your own data streams processors or sinks a java based sdk https streampipes apache org docs extend tutorial data processors html can be used to integrate your existing processing logic into streampipes pipeline elements are packaged as docker images and can be installed at runtime whenever your requirements change check our developer guide https streampipes apache org docs extend setup html bugs and feature requests if you ve found a bug or have a feature that you d love to see in streampipes feel free to create an issue on github bugs https github com apache streampipes issues feature requests https github com apache streampipes discussions categories ideas get help if you have any problems during the installation or questions around streampipes you ll get help through one of our community channels mailing lists https streampipes apache org mailinglists html or directly subscribe to users subscribe streampipes apache org mailto users subscribe streampipes apache org and don t forget to follow us on twitter https twitter com streampipes contribute we welcome all kinds of contributions to streampipes if you are interested in contributing let us know you ll get to know an open minded and motivated team working together to build the next iiot analytics toolbox here are some first steps in case you want to contribute subscribe to our dev mailing list dev subscribe streampipes apache org mailto dev subscribe streampipes apache org send an email tell us about your interests and which parts of streampipes you d like to contribute e g core or ui ask for a mentor who helps you to understand the code base and guides you through the first setup steps find an issue on github https github com apache streampipes issues which is tagged with a good first issue tag have a look at our developer wiki https cwiki apache org confluence display streampipes to learn more about streampipes development have fun feedback we d love to hear your feedback subscribe to users streampipes apache org mailto users streampipes apache org license apache license 2 0 license | iot analytics edge stream-processing iiot self-service hacktoberfest | server |
documentation | marist college student government association check out the wiki for comprehensive documentation https github com marist sga documentation wiki information technology documentation current author william kluge https github com williamkluge past authors tom magnusson https github com tommagnusson frank siderio https github com franksiderio ethan turkeltaub https github com eturk david gunter https github com verkaufer introduction this repository is meant to serve as documentation for managing and developing applications for the marist college student government association http sga marist edu | server |
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05-design-system | components button heading text textinput textarea checkbox avatar multistep start section footer br br p align center a href https discord gg rocketseat target blank img align center src https storage googleapis com golden wind comunidade rodape svg alt banner a p end section footer | os |
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Wikiplus | wikiplus a mediawiki front end add on based on jquery more information https zh moegirl org user wikiplus license this work is dual licensed under apache 2 0 and cc by sa 3 0 you can choose one of them to use this work | front_end |
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cloud-maniacs.net | cloud maniacs net ci branch status develop circleci https dl circleci com status badge img gh ohr486 cloud maniacs net tree develop svg style svg https dl circleci com status badge redirect gh ohr486 cloud maniacs net tree develop main circleci https dl circleci com status badge img gh ohr486 cloud maniacs net tree master svg style svg https dl circleci com status badge redirect gh ohr486 cloud maniacs net tree master | cloud |
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beez-foundation | beez foundation about beez foundation web img width 500px height 200px src https github com cyberagent beez foundation wiki images 1 x top 000 png beez foundation beez foundation json restful api beez foundation api json object javascript restful api beez foundation beez http mac os web handlebars hbs precompile hbsc js hbs stylus styl stylesheet css styl css install sh npm install beez foundation g beez foundation h usage beez foundation options options h help output usage information v version output the version number c config path server config path format json s standalone default configuration mode d debug debug mode a addmods value i want to add a m module it is more than one can be specified separated by commas format a dirname absdirpath from example a hoge tmp hoge getting started wiki quickstart https github com cyberagent beez foundation wiki 1 x quickstart sh cd web beez foundation s mode stand alone start beez foundation servers mock server off express server listening on port 1109 static server start success compress on please try to access http 0 0 0 0 1109 open browser http 0 0 0 0 1109 http 0 0 0 0 1109 img width 300px height 100px src https github com cyberagent beez foundation wiki images 1 x top 000 png beez foundation static viewer https raw github com cyberagent beez foundation master design beez foundation png operation https raw github com cyberagent beez foundation master design beez foundation ops png mock data viewer https raw github com cyberagent beez foundation master design beez foundation mock png beez beez https github com cyberagent beez github beez https github com cyberagent beez requirements beez foundation node js http nodejs org beezlib https github com cyberagent beezlib bootstrap http twitter github io bootstrap bytes https npmjs org package bytes colors https npmjs org package colors commander https npmjs org package commander handlebars http handlebarsjs com hbs https github com donpark hbs moment https npmjs org package moment pause https npmjs org package pause send https npmjs org package send requirejs http requirejs org stylus http learnboost github com stylus nib https github com visionmedia nib underscore js http underscorejs org express https npmjs org package express mocha https npmjs org package mocha should https npmjs org package should plato https github com jsoverson plato jshint https npmjs org package jshint jsdoc3 https github com jsdoc3 jsdoc suns js https github com cyberagent suns js zepto js http zeptojs com jsonminify https github com fkei json minify version package json contributing kei funagayama fkei https twitter com fkei github https github com fkei kazuma mishimagi maginemu https twitter com maginemu github https github com maginemu hiraki satoru github https github com layzie yuhei aihara github https github com yuhei a copyright cyberagent inc all rights reserved license see license https raw github com cyberagent beez foundation master license the mit license mit copyright cyberagent inc all rights reserved 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 bitdeli badge https d2weczhvl823v0 cloudfront net cyberagent beez foundation trend png https bitdeli com free bitdeli badge | front_end |
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TTK4155-byggern | ttk4155 byggern this term project aims for creating a computer controlled electromechanical ping pong game the electronic components game boards and development tools needed to realize the game will behanded out in the beginning of the semester the main challenge will be to assemble the hardware components and develop software for the microcontrollers making a fully functional embedded computer system that will enable you to play a refreshing game of pingpong the term project is in essence a rather comprehensive laboratory exercise which requires allocation of a substantial amount of time for lab workt hroughout the semester to create doxygen documentation enter doxygen doxyfile by lars mus us knut v gnes eriksen and jakob eide grepperud alt text img result png raw true final result | os |
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nodeschool | node school by red hat mobile join the chat at https gitter im fhnodeschool lobby https badges gitter im fhnodeschool lobby svg https gitter im fhnodeschool lobby utm source badge utm medium badge utm campaign pr badge utm content badge this repository should server as resource for series of courses organized by team at red hat mobile this is a work in progress resources in general these would have been our main reference materials through out the course general javascript reference https developer mozilla org en us docs web javascript reference you don t know js more in depth explanations of the core mechanisms of javascript https github com getify you dont know js nodejs api reference https nodejs org dist latest v6 x docs api javascript feature support http node green end goal after taking this course you should be able to create a small but usefull http service in nodejs syllabus 1 walkthrough javascript essentials learn about npm package manager and get familiar with node js ecosystem 2 understand asynchronous approach events emitters listeners callbacks deferred execution and handling errors core of node js programming model 3 building your own http server operations over files streams sockets and processes overview of express js framework 4 tools and test frameworks automation debugging unit and functional testing quick look at debugger capabilities 5 working with databases and persistent storage mongodb mongoose and redis 6 scaling an application handling concurrency clustered module and workers currently we are aiming to have a 4 hour horskhop that would cover this excercises from nodeschool io these workshops from nodeschool seem to be complementary to the course they have been chosen based on their description only further review might be required we might use some of them whole sale or create our own workshop some of them might be left jus as an excercise for the reader beware thet nodeschool workshops are mostly just a set of excercises paired with a test runer core javascript https github com jesstelford scope chains closures https github com sporto planetproto https github com timoxley functional javascript workshop https github com kishorsharma currying workshopper asynchronous programming https github com workshopper learnyounode https github com workshopper stream adventure https github com bulkan async you https github com stevekane promise it wont hurt https github com isruslan learn generators maintainance https github com excellalabs js best practices workshopper https github com joyent node debug school https github com othiym23 bug clinic https github com finnp test anything https github com bevacqua perfschool libraries https github com evanlucas learnyoumongo https github com azat co expressworks advanced https github com workshopper goingnative slides scratchpad we have provided a dockerfile that contains ijs configured for node 6 against jupoter notebook this is for quickly presenting the trickier parts of java script with environment that is nicer than the usuall nodejs repl cd notebooks docker build t ijs 0 docker run v pwd home jovyan work it rm p 8888 8888 ijs 0 | front_end |
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Cloud-data-engineering | cloud data engineering cloud data engineering projects | cloud |
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ELEC5620M-Resources | resources for elec5620 university provided drivers scatter files and debug configurations to aid programming the de1 soc hps for elec5620m embedded systems design for system on chip at the university of leeds drivers c source files which enable support for various hardware peripherals on the development board scatter files memory scatter files which tell the compiler how to lay out the final binary so that the processor can decode instructions and data properly debug config a special ds 5 eclipse project which assists connecting to the hardware for executuion and step by step debugging | os |
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Automotive_door_control_systemdesign | automotive door control systemdesign advanced embedded systems nanodegree by udacity amp egfwd embedded system design course project project requirements hardware requirements two microcontrollers connected via can bus one door sensor d one light switch l one speed sensor s ecu 1 connected to d s and l all input devices two lights right rl and left ll one buzzer b ecu 2 connected to rl ll and b all output devices software requirements ecu 1 will send status messages periodically to ecu 2 through the can protocol status messages will be sent using basic communication module bcm door state message will be sent every 10ms to ecu 2 light switch state message will be sent every 20ms to ecu 2 speed state message will be sent every 5ms to ecu 2 each ecu will have an os and application sw components if the door is opened while the car is moving buzzer on lights off if the door is opened while the car is stopped buzzer off lights on if the door is closed while the lights were on lights are off after 3 seconds if the car is moving and the light switch is pressed buzzer off lights on if the car is stopped and the light switch is pressed buzzer on lights on static design analysis for ecu 1 make the layered architecture specify ecu components and modules provide full detailed apis for each module as well as a detailed description for the used typedefs prepare your folder structure according to the previous points for ecu 2 make the layered architecture specify ecu components and modules provide full detailed apis for each module as well as a detailed description for the used typedefs prepare your folder structure according to the previous points dynamic design analysis for ecu 1 draw a state machine diagram for each ecu component draw a state machine diagram for the ecu operation draw the sequence diagram for the ecu calculate cpu load for the ecu for ecu 2 draw a state machine diagram for each ecu component draw a state machine diagram for the ecu operation draw the sequence diagram for the ecu calculate cpu load for the ecu calculate bus load in your system with what percentage of system bus was busy per 1 second | os |
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images | images this repository contains a bunch of images designed for use with pterodactyl s egg system each image is rebuilt periodically to ensure dependencies are always up to date images are hosted on both ghcr io and quay io for redundancy to use any of these images use ghcr io matthewpi images image or quay io matthewp pterodactyl image any images ending with install should only be used as a install image for running an install script these images will not work to run the actual server and are only designed to reduce installation time and network usage by pre installing common installation dependencies such as curl and wget available images games source https github com matthewpi images tree master games source image specifically designed for running source engine servers tags ghcr io matthewpi images source quay io matthewp pterodactyl source supported architectures linux amd64 generic alpine https github com matthewpi images tree master generic alpine generic alpine https alpinelinux org linux image tags ghcr io matthewpi images alpine quay io matthewp pterodactyl alpine supported architectures linux amd64 linux arm64 debian https github com matthewpi images tree master generic debian generic debian https www debian org image tags ghcr io matthewpi images debian quay io matthewp pterodactyl debian supported architectures linux amd64 linux arm64 ubi https github com matthewpi images tree master generic ubi generic redhat ubi https developers redhat com products rhel ubi image tags ghcr io matthewpi images ubi quay io matthewp pterodactyl ubi supported architectures linux amd64 linux arm64 golang go1 19 https github com matthewpi images tree master go 1 19 tags ghcr io matthewpi images go1 19 quay io matthewp pterodactyl go1 19 supported architectures linux amd64 linux arm64 go1 20 https github com matthewpi images tree master go 1 20 tags ghcr io matthewpi images go1 20 quay io matthewp pterodactyl go1 20 supported architectures linux amd64 linux arm64 go1 21 https github com matthewpi images tree master go 1 21 tags ghcr io matthewpi images go1 21 quay io matthewp pterodactyl go1 21 supported architectures linux amd64 linux arm64 java java 8 java8 https github com matthewpi images tree master java 8 this image is currently failing to build it will not be rebuilt to update dependencies tags ghcr io matthewpi images java8 quay io matthewp pterodactyl java8 supported architectures linux amd64 end of life december 2030 java8 zulu https github com matthewpi images tree master java 8 zulu tags ghcr io matthewpi images java8 zulu quay io matthewp pterodactyl java8 zulu supported architectures linux amd64 linux arm64 end of life december 2030 java 11 java11 hotspot https github com matthewpi images tree master java 11 hotspot tags ghcr io matthewpi images java11 hotspot quay io matthewp pterodactyl java11 hotspot supported architectures linux amd64 linux arm64 end of life september 2026 java11 zulu https github com matthewpi images tree master java 11 zulu tags ghcr io matthewpi images java11 zulu quay io matthewp pterodactyl java11 zulu supported architectures linux amd64 linux arm64 end of life september 2026 java 17 java17 zulu https github com matthewpi images tree master java 17 zulu tags ghcr io matthewpi images java17 zulu quay io matthewp pterodactyl java17 zulu supported architectures linux amd64 linux arm64 end of life september 2029 java 18 java18 zulu https github com matthewpi images tree master java 18 zulu tags ghcr io matthewpi images java18 zulu quay io matthewp pterodactyl java18 zulu supported architectures linux amd64 linux arm64 end of life september 2022 java 19 java19 zulu https github com matthewpi images tree master java 19 zulu tags ghcr io matthewpi images java19 zulu quay io matthewp pterodactyl java19 zulu supported architectures linux amd64 linux arm64 end of life march 2023 java 20 java20 zulu https github com matthewpi images tree master java 20 zulu tags ghcr io matthewpi images java20 zulu quay io matthewp pterodactyl java20 zulu supported architectures linux amd64 linux arm64 end of life september 2023 java 21 java21 zulu https github com matthewpi images tree master java 21 zulu tags ghcr io matthewpi images java21 zulu quay io matthewp pterodactyl java21 zulu supported architectures linux amd64 linux arm64 end of life september 2028 node js node16 https github com matthewpi images tree master node 16 https catalog redhat com software containers ubi9 nodejs 16 minimal 61a6059abfd4a5234d59621f tags ghcr io matthewpi images node16 quay io matthewp pterodactyl node16 supported architectures linux amd64 linux arm64 end of life september 2023 node18 https github com matthewpi images tree master node 18 https catalog redhat com software containers ubi9 nodejs 18 minimal 62e8e919d4f57d92a9dee838 tags ghcr io matthewpi images node18 quay io matthewp pterodactyl node18 supported architectures linux amd64 linux arm64 end of life april 2025 python python3 10 https github com matthewpi images tree master python 3 10 tags ghcr io matthewpi images python3 10 quay io matthewp pterodactyl python3 10 supported architectures linux amd64 linux arm64 python3 11 https github com matthewpi images tree master python 3 11 tags ghcr io matthewpi images python3 11 quay io matthewp pterodactyl python3 11 supported architectures linux amd64 linux arm64 python3 12 https github com matthewpi images tree master python 3 12 tags ghcr io matthewpi images python3 12 quay io matthewp pterodactyl python3 12 supported architectures linux amd64 linux arm64 runtimes steamrt sniper https github com matthewpi images tree master runtimes steamrt sniper tags ghcr io matthewpi images steamrt sniper quay io matthewp pterodactyl steamrt sniper supported architectures linux amd64 installers alpine install https github com matthewpi images tree master installers alpine tags ghcr io matthewpi images alpine install quay io matthewp pterodactyl alpine install supported architectures linux amd64 linux arm64 debian install https github com matthewpi images tree master installers debian tags ghcr io matthewpi images debian install quay io matthewp pterodactyl debian install supported architectures linux amd64 linux arm64 source install https github com matthewpi images tree master installers source tags ghcr io matthewpi images source install quay io matthewp pterodactyl source install supported architectures linux amd64 ubi install https github com matthewpi images tree master installers ubi tags ghcr io matthewpi images ubi install quay io matthewp pterodactyl ubi install supported architectures linux amd64 linux arm64 | pterodactyl docker images pterodactyl-egg | os |
STM32_Vehicle_Tracker | vehicle sensoring and tracking system final project of the master s course real time embedded systems design description this systems consists on sending gps and imu acceleration and angular velocity data from a vehicle to a cloud server it uses a stm32g474re mcu running freertos alongside with a sim808 radio gprs gsm radio gps and a mpu 6050 imu it also has a fir filter used to filter the imu data system data is sent to the cloud using tcp connection and the http protocol the api used is the thingspeak com free api tool system diagrams below you can see some system diagrams created on the development process block diagram https i imgur com ysqunt8 jpg system block diagram in portuguese electric diagram https i imgur com pmmgvs7 jpg system electric diagram rtos diagram https i imgur com lcabk3j jpg system rtos diagram in portuguese | os |
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aquameta | aquameta a datafied web stack built in postgresql contents status status overview overview core extensions core extensions user interface user interface download download install from source install from source usage usage history history status aquameta is an experimental project still in early stages of development it is not suitable for production development and should not be used in an untrusted or mission critical environment overview aquameta is an all database web development stack an attempt to make web development more modular simple coherent and fun by making everything data see motivation motivation for more under the hood aquameta is organized into seven postgresql extensions that each corresponds to a layer or tool in a typical web stack the database schema contains 60 tables 50 views and 90 stored procedures that together make a minimalist fairly unopinionated web stack that should be familiar to most web developers except that it s all in the database a thin golang http golang org daemon handles the connection to the database and runs a web server core extensions meta https github com aquameta meta writable system catalog for postgresql making most database admin tasks e g create table possible by changing live data makes the database self aware and makes it possible to represent schema and procedures as data bundle extensions bundle version control system similar to git but for database rows instead of files event extensions event hooks for monitoring changes to tables rows and columns for inserts updates and deletes using triggers and fire off events via postgresql notify filesystem extensions filesystem makes the file system accessible from sql endpoint extensions endpoint minimalist web request handlers implemented as postgresql procedures a rest api static recources function maps websocket events and url pattern templates widget extensions widget web component framework for building modular user interface components each widget is a row in the database with columns for html css and javascript and a mechanism for attaching js dependencies semantics extensions semantics schema decorators for describing tables and columns and binding custom ui widgets handlers for display and edit together these extensions make a simple fairly un opinionated web stack other than that whole all data thing user interface on top of the core extensions aquameta has a web based ide check out the demos and such on youtube https www youtube com channel ucq0mvzexqjhcpddpqqtos8w motivation the web stack is very complicated and frankly a bit of a mess aquameta s philosophy is that the cause of this mess is the underlying information model of files plus syntax under the hood web stacks have structure but that structure is latent and heterogeneous the heirarchical file system isn t adequate for handling the level of complexity in the web stack putting things in the database makes them uniform and clean there are many architectural advantages but to highlight a few an all data web stack means that the various layers of the stack have a shared information model as such you can combine various layers of the stack into a single bundle with ease because it s all just data whether a bundle be an entire app a javascript dependency a collection of user data some database schema and functions or any other way slice and dice a project as long as it is all data it makes a single coherent bundle when all the layers are data you can make tools that work with data generally and they can apply to all the layers of the stack at the same time the result is a vast increase in potential for modularity reusable components that means we can share code and data in a much more effective way and build on each other s work more coherently than in the file based paradigm download coming soon install from source 1 install postgresql https www postgresql org download version 13 or higher once it s installed make sure the pg config command is in your path then create an empty database that aquameta will be installed into and then create yourself a superuser typically the same name as your unix username bash make sure pg config is present pg config version sudo to the postgres user and create a user sudo iu postgres createdb aquameta psql aquameta aquameta create role eric use your unix username here instead of eric aquameta alter role eric superuser login password changeme 2 clone the bleeding edge source and submodules via git or download the latest source release https github com aquametalabs aquameta releases bash git clone recurse submodules https github com aquametalabs aquameta git cd aquameta 3 install aquameta s extensions into postgresql s extensions directory if you get an error like make command not found install make via the build essential package e g sudo apt install build essential bash cd scripts sudo make install extensions sh cd note for mac users this may fail with a cryptic permissions error if your terminal program does not have full disk access this can be set via system preferences 4 install golang https golang org version 1 18 or greater then build the aquameta binary from aquameta s root directory bash go version go build this should create a binary called aquameta 5 edit conf boot conf to match your postgresql settings bash cd conf cp boot toml dist boot toml vi boot toml cd 6 start the aquameta server bash aquameta help aquameta c conf boot toml when aquameta starts it checks to see if the core extensions are installed on the database and if they are not it will automatically install them then it starts the webserver and provides a url where you can start using the ide congrats the end usage see the paltry documentation docs history aquameta is the life work of eric hanson for over two decades prototypes have been built in mysql php exist xml xquery xforms rdf sparql and more but finding postgresql was a game changer and this codebase is the first to show some light at the end of the tunnel this codebase originated as the startup idea of aquameta llc a portland oregon based software company much blood sweat and tears was put into formulating and evolving the concept in the rdbms world huge strides were made by eric mike mickey and others in the late 2010s but with zero users a marginally functional prototype and a wild idea about how to radically change the very foundations of how we program the company was unsurprisingly unable to attract institutional investors we ran out of money and the company is now inactive in retrospect rebuilding the entire web stack perhaps wasn t the most realistic idea for a startup however work continues on the project as open source as time resources and love permits here are some older materials from the early days they are woefully out of date from a technical perspective but conceptually still fairly sound old blog entries introducing aquameta https web archive org web 20150901192639 http blog aquameta com 2015 08 28 introducing aquameta aquameta chapter 1 meta writable system catalog for postgresql https web archive org web 20160615075450 http blog aquameta com 2015 08 29 intro meta aquameta chapter 2 filesystem postgresql file system bridge https web archive org web 20160401073006 http blog aquameta com 2016 01 06 intro chpater2 filesystem aquameta chapter 3 event the atoms of change https web archive org web 0 https blog aquameta com 2016 03 21 intro event floss weekly interview https twit tv shows floss weekly episodes 449 on twit this week in tech hacker news https news ycombinator com item id 21281042 discussion version 0 2 ide demo https www youtube com watch v zopj8lvnjtg twitter https twitter com aquameta currently the project has come a very long way but still has known architectural foot guns and time bombs it works fine for single users but being well equipped for a distributed development ecosystem with independent developers and out of step dependency management is a much more challenging problem until the issues with operating at scale are even marginally addressed we are not trying to lure new users into a swamp where they shalt surely perish you re welcome to try the project it actually works pretty well in a single user or small team environment but bring your mud boots and machete the documentation is wrong if it exists at all the architecture can and will change without notice or regard for backwards compatibility user experience is not a priority at this time getting the architecture correct for future users is all that matters architecture nerds and system architectures are welcome if you love the idea help us make it a reality there are a vast number of known issues https github com aquametalabs aquameta issues in the issue tracker | postgresql rest-api version-control-system system-catalog events widgets semantics plpgsql | front_end |
react-manage-system | react manage system react ant design vue element vue manage system https github com lin xin vue manage system image text https github com lin xin react manage system raw master screenshots rms1 png image text https github com lin xin react manage system raw master screenshots rms2 png x ant design of react x x dashboard x x tab x x bar chart x x markdown x x art x x 404 403 x x x license mit https github com lin xin react manage system blob master license | react antd | os |
Modern-CPP-Bonn | modern cpp bonn this repository contains the solution for the modern c for computer vision and image processing http www ipb uni bonn de teaching modern cpp course | cpp cmake computer-vision opencv | ai |
vicuna-7b | vicuna 7b vicuna 7b is a large language model that runs in the browser this library is a port of the fantastic web llm implementation https github com mlc ai web llm that exposes programmatic local access to the model with minimal configuration demo https thekevinscott github io vicuna 7b gif of ui demo https github com thekevinscott vicuna 7b raw main assets ui demo gif prerequisites see the instructions section here https mlc ai web llm for more information on required prerequisites and confirm that the demo ui works with your hardware getting started install with bash npm install vicuna 7b then you can import it into your project with javascript import vicuna7b from vicuna 7b const llm new vicuna7b llm generate tell me a joke about otters then response console log response api constructor javascript const initcallback progress timeelapsed text console log progress timeelapsed text new vicuna7b initcallback the constructor accepts an optional payload of arguments initcallback an optional initialization callback logger an optional general logging function callback runtimeurl an optional string denoting a url to the runtime url corresponds to lib tvmjs runtime wasi js bundleurl an optional string denoting a url to the bundle url corresponds to lib tvmjs bundle js tokenizerurl an optional string denoting a url to the tokenizer url corresponds to lib tokenizer model vicunaurl an optional string denoting a url to the model url corresponds to lib vicuna 7b webgpu wasm sentencepieceurl an optional string denoting a url to the sentence piece url corresponds to lib sentencepiece index js cacheurl an optional string denoting a url to the cache url corresponds to https huggingface co mlc ai web lm resolve main vicuna 0b by default the library will load its runtime requirements from a cdn https www jsdelivr com jsdelivr if no url arguments are provided an example with full options looks like javascript const initcallback progress timeelapsed text console log progress timeelapsed text new vicuna7b initcallback logger console log runtimeurl http path to url bundleurl http path to url tokenizerurl http path to url vicunaurl http path to url sentencepieceurl http path to url cacheurl http path to url generate javascript const prompt tell me a joke about otters const generatecallback step text console log text const config maxgenlength 32 stopwords q temperature 0 5 top p 0 95 callback generatecallback llm generate prompt config then response console log response generate accepts two arguments prompt the text prompt to pass to the llm model params an optional set of config parameters to pass to the model the callback argument from the params will be invoked on every step of the model generation this callback receives a step parameter indicating the current step integer and the text generated at that step this can be useful if you wish to show the output as the model generates it reset javascript llm reset then console log done resets the llm you can optionally pass in a new set of constructor parameters that will then be persisted getruntimestats javascript llm getruntimestats then stats console log stats exposes runtime stats information runtime stats is returned in the format encoding float decoding float you can see an example in the original ui license apache 2 0 credits all credit goes to the original implementation at web llm https github com mlc ai web llm simon willison has a great piece on his blog https simonwillison net 2023 apr 16 web llm about his experiments with the llm | large-language-model llm vicuna vicuna-7b | ai |
web-development-podcasts | web development podcasts contributing 1 fork it 2 add a podcast to podcasts json 3 run node build to update readme md with your changes 4 create your feature branch git checkout b my new feature 5 commit your changes git commit am add some feature 6 push to the branch git push origin my new feature 7 create new pull request podcast list img src http coderesponsible com wp content uploads front end happy hour logo jpg width 100 alt front end happy hour front end happy hour http frontendhappyhour com is a podcast where a panel of front end engineers from comapnies like netflix evernote and linkedin talk about front end development over drinks img src http coderesponsible com wp content uploads shop talk show jpg width 100 alt shop talk show shop talk show http shoptalkshow com is a podcast focusing on front end development starring dave rupert and chris coyier the format of the show can vary between episodes sometimes dave and chris will be joined by guests as well as answering questions from listeners of the show img src http imglogo podbean com dir logo 219869 219869 300x300 png width 100 alt codepen radio codepen radio https blog codepen io radio another podcast by chris coyier the main topics are about running a small web software business the good the bad and the ugly img src http coderesponsible com wp content uploads nodeup logo jpg width 100 alt node up node up http nodeup com is a podcast put together by jordan muir and hosted by tim oxley and rod vagg the show focuses on topics around the node js community and it s technologies img src http coderesponsible com wp content uploads javascript jabber jpg width 100 alt javascript jabber javascript jabber https devchat tv js jabber is a weekly podcast that focuses topics on javascript including node js front end technologies careers and more the show typically has a similar panel of interviewers with guests who come on the show to talk about a certain topic img src https syntax fm static logo png width 100 alt syntax syntax https syntax fm a tasty treats podcast for web developers img src http coderesponsible com wp content uploads the changelog jpg width 100 alt the changelog the changelog https changelog com is a weekly podcast with a new episode available every friday the show focuses a wide variety of development and open source topics including javascript ruby performance conferences and more img src http coderesponsible com wp content uploads responsive web design podcast jpg width 100 alt responsive web design responsive web design http responsivewebdesign com podcast is a show focusing on responsive web design hosted by karen mcgrane and ethan marcotte in each episode karen and ethan have guests on the show to interview them on how they make responsive redesigns happen img src http coderesponsible com wp content uploads the big web show jpg width 100 alt the big web show the big web show http 5by5 tv bigwebshow is a podcast hosted by jeffrey zeldman and features special guests and topics like web publishing art direction content strategy typography web technology and more img src http coderesponsible com wp content uploads boagworld show jpg width 100 alt boagworld boagworld https boagworld com show is a weekly podcast with a new episode available every thursday the show is hosted by paul boag and marcus lillington who are joined by a variety of guests to discuss a range of web design related topics img src http coderesponsible com wp content uploads the web ahead jpg width 100 alt the web ahead the web ahead http 5by5 tv webahead is a podcast featuring conversations with world experts on changing technologies and future of the web the web ahead is your shortcut to keeping up hosted by jen simmons img src http coderesponsible com wp content uploads fivejs jpg width 100 alt fivejs fivejs https fivejs codeschool com is a weekly podcast with five minute episodes focusing on what s new in the world of javascript the show covers various topics including javascript frameworks tools conferences and more img src http a2 mzstatic com us r30 music v4 36 a4 c4 36a4c474 2cfe e25d 5d73 7e1052968069 cover170x170 jpeg width 100 alt creative coding creative coding http creativecodingpodcast com the creative coding podcast covers insights and learning of programming hosted by seb lee delisle and game developer iain lobb this podcast is a great source for new inspiration img src http a4 mzstatic com us r30 music4 v4 74 59 93 745993b8 2c50 f605 6857 0a010dbe9286 cover100x100 jpeg width 100 alt this developer s life this developer s life http thisdeveloperslife com this podcast provides great insights in the life of developers if you re thinking about getting into web development or if you d call yourself a developer this podcast will definitely give you some great insights img src https pbs twimg com profile images 557744034462965760 u dbrwjt 400x400 jpeg width 100 alt developer tea developer tea http spec fm podcasts developer tea a podcast for developers designed to fit inside your tea break img src https cdn2 player fm images 1213301 series xz1diaeck43tfcul 512 png width 100 alt modern web modern web http www modern web org modern web is a podcast that covers the latest news on topics such as emberjs reactjs angularjs es2015 rxjs functional reactive img src https pbs twimg com profile images 665177206243495936 2rsny5iv 400x400 png width 100 alt javascript air javascript air https javascriptair com the live broadcast podcast all about javascript img src http a4 mzstatic com us r30 music3 v4 84 54 90 84549079 86c7 9cce 9c9b 6e192f17c103 cover100x100 jpeg width 100 alt style guide podcast style guide podcast http styleguides io podcast a small batch series of interviews on style guides hosted by anna debenham and brad frost img src http a5 mzstatic com us r30 music3 v4 81 0c 91 810c91e5 83fe d7f8 c788 994db972508d cover100x100 jpeg width 100 alt adventures in angular adventures in angular https devchat tv adventures in angular a weekly show dedicated to the angularjs framework img src https pbs twimg com profile images 710962547378114560 vdzuneel 400x400 jpg width 100 alt web behind web behind https webbehind com the web behind is a podcast about web developers and their humble beginnings img src https s3 amazonaws com codenewbie assets codenewbie hashtag logo png width 100 alt code newbie code newbie http www codenewbie org podcast stories from people on their coding journey new episodes published every monday img src https media simplecast com podcast image 282 small 1433513863 artwork jpg width 100 alt the bike shed the bike shed http bikeshed fm on the bike shed hosts derek prior sean griffin laila winner and guests discuss their development experience and challenges with ruby rails javascript and whatever else is drawing their attention admiration or ire this week img src https media simplecast com podcast image 272 small 1437489285 artwork jpg width 100 alt build phase build phase http buildphase fm build phase is a weekly technical podcast discussing ios development and design hosted by ios developers mark adams and gordon fontenot they discuss code design and creating great ios apps img src https media simplecast com podcast image 1088 small 1452002405 artwork jpg width 100 alt tentative tentative http tentative fm tentative is a podcast about digital product design hosted by thoughtbot designers reda lemeden kyle fiedler img src https pbs twimg com profile images 464560525330751488 gxhh9vns jpeg width 100 alt ruby rogues ruby rogues https devchat tv ruby rogues is a weekly podcast that focuses on the ruby programming language discussions cover ruby technologies programming practices tools and careers img src https media simplecast com podcast image 1386 1454987525 artwork jpg width 100 alt does not compute does not compute http spec fm podcasts does not compute is a weekly chat about the lives and workflows of modern web developers hosted by sean washington paul straw img src https media simplecast com podcast image 1103 1428344839 artwork jpg width 100 alt the path to performance the path to performance https pathtoperf com a podcast for everyone dedicated to making websites faster img src https ladybug dev static 615138c59d5de227e39c7044f4f2e92c 5a67f logo png width 100 alt ladybug podcast ladybug podcast https ladybug dev listen to kelly vaughn ali spittel emma wedekind debug the tech industry img src https cdn simplecast com images 6232da22 dbb9 483e 9208 b2a740767729 5c14c978 65b9 4737 ab69 30c4ca672938 640x640 1551799236artwork jpg width 100 alt no plans to merge no plans to merge https noplanstomerge simplecast com a real life code talk podcast between two working developers hosted by caleb porzio and dcoulbourne img src https pbs twimg com profile images 1066436461912719360 fezimgkl 400x400 jpg width 100 alt the undefined podcast the undefined podcast https undefined fm the only engineering podcast with a 2 drink minimum hosted by jared palmer and ken wheeler img src https fullstackradio com podcast cover jpg width 100 alt full stack radio podcast full stack radio podcast https fullstackradio com a podcast for developers interested in building great software products hosted by adam wathan img src https cdn changelog com uploads covers js party original png width 100 alt js party javascript css web development js party javascript css web development https changelog com jsparty your weekly celebration of javascript and the web panelists include jerod santo feross aboukhadijeh kevin ball amelia wattenberger nick nisi divya sasidharan mikeal rogers chris hiller and amal hussein | front_end |
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magiccube | bottos blockchain service layer go report card https goreportcard com badge github com bottos project magiccube https goreportcard com report github com bottos project magiccube license https img shields io badge licence gpl 3 blue svg https opensource org licenses gpl 3 0 bottos is the decentralized data sharing network protocol based on the blockchain technology it is also a consensus based one stop platform to implement the registration distribution and transformation of the data among different participants within the broad based ai ecosystem our vision to build and become the largest global data sharing network to evolve ai ecosystem via smart data contracts on a blockchain infrastructure to help people capitalize the data assets with the clear ownership and better control in data privacy through a transparent and democratic mechanism our goals to build the world s most efficient data sharing network datamarket with our proprietary pricing mechanism of the data asset to build the ai model sharing network modelmarket to facilitate the effective management of the ai development cycle to implement the hardware sharing network to streamline the ai product registration and communication one click deploy a bottos node install login as root and execute startup sh deploy update source code create user bottos and switch to bottos and execute startup sh update run execute startup sh buildstart to build the source code and run bottos chain stop execute start stop to stop one click deployment script https github com bottos project magiccube tree master service node scripts startup sh learn about bottos read our whitepaper https www bottos org pdf bottos 20whitepaper 20english 20final pdf contact us botadmin bottos org our official website www bottos org www botfans org license bottos is gplv3 licensed | blockchain infrastructure | blockchain |
FreeRTOS_RaspberryPi3 | freertos ported to raspberry pi 3 howto build type make toolchain aarch64 none elf not changed in the makefile yet about freertos port raspberry pi 3 uses the bcm2837 wich has the same base address that the previous one bcm2836 baseaddress 0x3f000000 there was another freertos config h file which overcame the good one the freertos version has been updated to the last version 9 0 0 to work with the architecture of the cortex a53 it seem that the compiler arm none eabi is unable to use some 64bits features has been changed for gcc aarch64 linux gnu need to be change for aarch64 none elf assembly deprecated commands have been changed by the armv8 ones some function have been deprecated in freertos 9 some v functions can be replaced by x todo find a way to implement the freertos vector table variable used in portasm s write the timer functions in the freertostimers file find out where is the new implementation of vportyieldprocessor and create it if it does not exist check the addresses configuraton in freertos config check the startup file please refer to raspberry documentation https github com raspberrypi documentation porting to 64 porting to arm 64 bit pdf file http infocenter arm com help index jsp topic com arm doc den0024a ch08s02s01 html about uboot the u boot need to be compile with the toolchain aarch64 none elf available on http wiki osdev org gcc cross compiler to work with the last raspberry firmware and in 64 mode the following options must be set in the config txt file armv8 arm control 0x200 uart enable uart 1 kernel name kernel uboot img put the compiled u boot bin in the boot partition as uboot img and copy all the content of the raspberry boot firmware into the boot partition a working exemple of boot is available in the working uboot directory please refer to u boot compiling tutorial howto ubootrasp3 pdf file raspberry boot firmware https github com raspberrypi firmware tree master boot | os |
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IIT | iit introduction to information technology | server |
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Highlights | highlights 2 sup nd sup place at yhack 16 http www yhack org and winner of the a e challenge built by aaron vontell ali benlalah cooper pellaton a href https www buymeacoffee com sywzpjk4f target blank img src https www buymeacoffee com assets img custom images black img png alt buy me a coffee style height auto important width auto important a table of contents overview overview license license video walkthrough video walkthrough screenshots screenshots machine learning and more machine learning and more our infrastructure our infrastructure api api overview the first thing you re probably thinking is what this ambiguiously named application is and secondly you re likely wondering why it has any significance firstly highlights is the missing component of your youtube life and secondly it s important because we leverage machine learning to find out what content is most important in a particular piece of media unlike it has ever been done before imagine this scenario you subscribe to 25 youtube channels but over the past 3 weeks you simply haven t had the time to watch videos because of work today you decide that you want to watch one of your favorite vloggers but realize you might lack the context to understand what has happened in her his life since you last watched which lead her him to this current place here enters highlights simply download the android application log in with your google credentials and you will be able to watch the so called highlights of your subscriptions for all of the videos which you haven t seen rather than investing hours in watching your favorite vlogger s past weeks worth of videos you can get caught up in 30 seconds 1 minute by simply being presented with all of the most important content in those videos in one place seamlessly license gnu general public license v3 license md video walkthrough click me media device 6p home png https youtu be 6fu5a1heb g screenshots the homefeed view media device 6p home png media device 6p home 2 png the loading screen media device 6p loading png the view of the player media device 6p playing png media device 6p playing 2 png machine learning and more now that you understand the place and signifiance of highlights a platform that can distill any media into bite sized chunks that can be consumed quickly in the order of their importance it is important to explain the technical details of how we achieve such a gargantuant feat here is a visual representation of the pipeline we are about to explain media non device revised pipeline diagram png let s break down the pipeline 1 we start by accessing your google account within the youtube scope and get a list of your current subscriptions activities such as watched videos comments etc your recommended videos and your home feed 2 we take this data and extract the key features from it some of these include the number of videos watched on a particular channel the number of likes dislikes you have and the categories on which they center the number of views a particular video has how often you watch videos after they have been posted number of days after publication this is most important in determing the signficiance of a reccomended video to a particular user we go about this process for every video that the user has watched or which exists in his or her feed to build a comprehensive feature set of the videos that are in their own unique setting 3 we proceed by feeding the data from the aforementioned investigation and probabilities by then generating a new machine learning model which we use to determine the likelihood of a user watching any particular reccomended video etc 4 for each video in the set we are about to iterate over the video is either a recomended watch or a video in the user s feed which she he has not seen they key to this process is a system we like to call video quanitization in this system we break each video down into it s components we look at the differences between images and end up analyzing something near to every other 2 3 or 4 frames in a video this reduces the size of the video that we need to analyze while ensuring that we don t miss anything important as you will not here a lot of the processes we undertake have bases in very comprehensive and confusing mathematics we ve done our best to keep math out of this but know that one of the most important tools in our toolset is the exponential moving average 5 this is the most important part of our entire process the scene detection to distill this down to it s most basic principles we use features like lighting edge shape detection and more to determine how similar or different every frame is from the next using this methodology of trying to find the frames that are different we coin this change in setting a scene now scenes by themselves are not exciting but coupled with our knowledge of the context of the video we are analyzing we can come up with very apt scenes for instance in a horror movie we know that we would be looking for something like 5 10 seconds in differences between the first frame of that series and the last frame this is what is referred to as a jump or scare cut so using our exponential moving average and background subtraction we are able to figure out the changes in between and validate scenes 6 we pass this now deconstructed video into the next part of our pipeline where we will generate unique vectors for each of them that will be used in the next stage what we are looking for here is the key features that define a frame we are trying to understand for example what makes a jump cut a jump cut features that we are most commonly looking include intensity of an analyzed area ex the intensity of a background coloring vs edges etc the length of each scence background speed average brightness average background speed position etc armed with this information we are able to derive a unqiue column vector for each scence which we will then feed into our neural net 7 the meat and bones of our operation the neural net what we do here is not terribly complicated at it s most basic principles we take each of the above column vectors and feed it into this specialized machine learning model what we are looking for is to derive a sort order for these features our initial training set a group of 600 youtube videos which ali spent a significant amount of time training is used to help to advance this net the gist of what we are trying to do is this given a certain vector we want to determine it s signifiance in the context of the youtube univerise in which each of our users lives to do this we abide by a semi supervised learning model in which we are looking over the shoulder of the model to check the output as time goes on this model begins to tweak it s own parameters and produce the best possible output given any input vector 8 lastly now having a sorted order of every scene in a user s youtube universe we go about reconstructing the top highlights for each user ie in part 7 of our pipeline we figured out which vectors carried the greatest weight now we want to turn these back into videos that the user can watch quickly and derive the greatest meaning from using a litany of google s apis we will turn the videoids categories etc into parameterized links which the viewer is then shown within our application our infrastructure our service is currently broken down into the following core components highlights android application built and tested on android 7 0 nougat and uses the youtube android api sample project also uses various open source libraries okhttp picasso parallaxeverywhere etc highlights web service backs the pipeline the highlighter or rather our ml component api post api get subscriptions this requires the client to post a body of the nature below this will then trigger the endpoint to go and query the youtube api for the user s subscriptions and then build a list of the most recent videos which he she has not seen yet json user cooper pellaton api get videos deprecated this endpoint requires the client to post a body similar to that below and then will fetch the user s most recent activity in list form from the youtube api json user cooper pellaton get api fetch oauth so optimally what should happen when you call this method is that the user should be prompted to enter her his google credentials to authorize the application to then be able to access her his youtube account the way that this is currently architected the user s entrance into our platform will immediately trigger learning to occur on their videos we have since deprecated our ml training endpoint in favor of one get endpoint to retrieve this info api fetch subscriptions to get the subscriptions for a current user in list form simply place a get to this endpoint additionally a call here will trigger the ml pipeline to begin based on the output of the subscriptions and user data api get ml data for each user there is a queue of their highlights when you query this endpoint the response will be the return of a dequeue operation on said queue hence you are guaranteed to never have overlap or miss a video to note in testing we have a means to bypass the dequeue and instead append constantly directly to the queue so that you can ensure you are retrieving the appropriate response | ai |
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learn-qt5 | studentmanagesystem demo sqlite ui qt linux qt sqlite https github com hovenjay learn qt5 blob master images 01 gif | qt5 qtcreator sqlite3 fedora | os |
onfido-sdk-ui | onfido sdk ui layer build status https travis ci org onfido onfido sdk ui svg branch master https travis ci org onfido onfido sdk ui npm version https img shields io npm v onfido sdk ui https www npmjs com package onfido sdk ui table of contents overview overview general tips general tips getting started getting started handling callbacks handling callbacks removing the sdk removing the sdk initialization options initialization options customizing the sdk customizing the sdk creating checks creating checks user analytics user analytics premium enterprise features premium enterprise features going live going live accessibility accessibility typescript typescript more information more information overview the onfido web sdk provides a set of components for javascript applications to capture identity documents and selfie photos videos and motion captures for the purpose of identity verification the sdk offers a number of benefits to help you create the best identity verification experience for your customers carefully designed ui to guide your customers through the entire capture process for photos videos or motion captures modular design to help you seamlessly integrate the capture process for photos videos or motion captures into your application flow advanced image quality detection technology to ensure the quality of the captured images meets the requirement of the onfido identity verification process guaranteeing the best success rate direct image upload to the onfido service to simplify integration note the sdk is only responsible for capturing photos videos and motion captures you still need to access the onfido api https documentation onfido com to manage applicants and perform checks various views from the sdk demo screenshots jpg general tips for use in a mobile device it is recommended to set up the sdk to use the full screen of the device otherwise there may not be enough room to display all critical elements of the sdk getting started the following content assumes you re using our api v3 versions for backend calls if you are currently using api v2 please refer to this migration guide https developers onfido com guide api v2 to v3 migration guide for more information callout type info if you are integrating using onfido studio please see out studio integration guide onfido studio md callout 1 obtain an api token in order to start integrating you ll need an api token https documentation onfido com api tokens you can use our sandbox https documentation onfido com sandbox testing environment to test your integration to use the sandbox you ll need to generate a sandbox api token in your onfido dashboard https onfido com dashboard api tokens note you must never use api tokens in the frontend of your application or malicious users could discover them in your source code you should only use them on your server 1 1 regions onfido offers region specific environments refer to the regions https documentation onfido com regions section in the api documentation for token format and api base url information 2 create an applicant to create an applicant from your backend server make request to the create applicant endpoint https documentation onfido com create applicant using a valid api token note different report types have different minimum requirements for applicant data for a document or facial similarity report the minimum applicant details required are first name and last name shell curl https api onfido com v3 applicants h authorization token token your api token d first name john d last name smith the json response will contain an id field containing an uuid that identifies the applicant once you pass the applicant id to the sdk documents photos videos and motion captures uploaded by that instance of the sdk will be associated with that applicant 3 generate an sdk token the sdk is authenticated using sdk tokens each authenticated instance of the sdk will correspond to a single onfido applicant you ll need to generate and include a new token each time you initialize the web sdk note you must never use api tokens in the frontend of your application or malicious users could discover them in your source code you should only use them on your server to generate an sdk token make a request to the generate sdk token endpoint https documentation onfido com generate web sdk token including the applicant id and a valid referrer shell curl https api onfido com v3 sdk token h authorization token token your api token f applicant id applicant id f referrer referrer pattern parameter notes applicant id required br specifies the applicant for the sdk instance referrer optional br the referrer url pattern note sdk tokens expire after 90 minutes 3 1 the referrer argument the referrer argument specifies the url of the web page where the web sdk will be used the referrer sent by the browser must match the referrer url pattern in the sdk token for the sdk to successfully authenticate the referrer pattern guarantees that other malicious websites cannot reuse the sdk token in case it is lost you can read more about referrer policy in mozilla s documentation https developer mozilla org en us docs web http headers referrer policy note you must use a site referrer policy that lets the referer header be sent if your policy does not allow this e g referrer policy no referrer then you ll receive a 401 bad referrer error when trying to use the web sdk permitted referrer patterns are as follows section format example referrer scheme host path https domain path scheme or http or https https host or then any char except and domain path any char or none path an example of a valid referrer is https example com example page 4 import the library you can either use our cdn import directly into your html page use npm 4 1 cdn you can use hosted versions of the library files from onfido s cdn from sdk 12 3 1 onwards the version number you subscribe to can vary depending on your needs subscribing to a specific patch release e g v12 3 1 will fix the library files to that sdk release subscribing to a minor level release e g v12 3 means onfido will update to the latest available patch release subscribing to a major release e g v12 means onfido will update to the latest available patch and minor release html replace version with the actual sdk version you want to use example v12 script src https sdk onfido com version charset utf 8 script link href https sdk onfido com version style css rel stylesheet for versions prior to 12 3 1 specifying a precise release only see our previous documentation https github com onfido onfido sdk ui blob 12 3 0 readme md 43 cdn 4 2 html script tag include you can include the library as a regular script tag on your page html script src dist onfido min js charset utf 8 script and the css styles html link rel stylesheet href dist style css you can see a simple example using script tags https jsfiddle net gh get library pure onfido onfido sdk ui tree master demo fiddle 4 3 npm style import alternatively you can import the library as a module into your own js build system tested with webpack shell npm install save onfido sdk ui javascript es6 module import import init from onfido sdk ui commonjs style require var onfido require onfido sdk ui the css style will be included inline with the js code when the library is imported note the library is browser only it does not support the node context you can see an example app using npm style import https github com onfido onfido sdk web sample app split bundle to decrease the size of your production bundle you can use the split version of the library javascript import init from onfido sdk ui split import onfido sdk ui split css if you are using typescript you have to enable moduleresolution to node16 nodenext bundler if it is not possible in your case you need to add a ts ignore comment above the import note the main bundle will be in included in your build but the other bundles will be loaded from onfido s cdn 5 add basic html markup add an empty html element at the bottom of your page for the modal interface to mount itself on html div id onfido mount div 6 initialize the sdk you can now initialize the sdk using the sdk token javascript onfido init token your sdk token containerid onfido mount containerel div id root alternative to containerid oncomplete function data console log everything is complete steps welcome poa document face complete parameter format notes token string required br your web sdk token containerid string optional br a string containing the id of the container element that the ui will mount to this must be an empty element the default is onfido mount br alternatively if your integration requires it you can pass in the container element instead note that if containerel is provided then containerid will be ignored oncomplete function optional a callback function handling callbacks that executes after the applicant s document and face have both been captured and uploaded successfully steps string or object list of different steps corresponding to parts of the process the user will be presented with handling callbacks oncomplete function optional callback that fires when both the document and face have been successfully captured and uploaded you can then trigger your backend to create a check https documentation onfido com create check using the associated applicant id example oncomplete callback javascript onfido init token your sdk token containerid onfido mount oncomplete function data console log everything is complete data is an object that contains properties of the document and face images captured during the sdk flow for two sided documents like driving licence and national identity card the object will also contain a document back property representing the reverse side for the face step an object is returned with the variant used for the face capture standard video motion this informs whether to specify a facial similarity photo facial similarity video or facial similarity motion report during check creation javascript document front id document id front type passport side front face id face id variant standard document back id document id back type driving licence side back poa id poa document id type utility bill onerror function optional callback that fires when an error occurs the callback returns the following error types exception this will be returned for the following errors timeout and server errors authorization invalid token missing data in oncomplete callback this data can be used for debugging purposes javascript type exception message the request could not be understood by the server please check your request is correctly formatted expired token this error will be returned when a token has expired this error type can be used to provide a new token at runtime javascript type expired token message the token has expired please request a new one onuserexit function optional callback that fires when the user abandons the flow without completing it the callback returns a string with the reason for leaving for example user consent denied is returned when a user exits the flow because they declined the consent prompt javascript onfido init token your sdk token containerid onfido mount onuserexit function userexitcode console log userexitcode onmodalrequestclose function optional callback that fires when the user attempts to close the modal you can then decide to close the modal or keep it open by changing the property ismodalopen removing the sdk if you have embedded the sdk inside a single page app you can call the safeteardown function to remove the sdk completely from the current webpage it will reset the state and you can safely re initialize the sdk inside the same webpage later on javascript onfidoout onfido init await onfidoout safeteardown warning the safeteardown method is a promise if you plan on mounting the sdk a second or nth time please await the promise first javascript onfidoout onfido init await onfidoout safeteardown onfidoout2 onfido init initialization options token string required a jwt is required in order to authorize with our websocket endpoint if one isn t present an exception will be thrown usemodal boolean optional turns the sdk into a modal which fades the background and puts the sdk into a contained box the default value is false javascript script var onfido function triggeronfido onfido onfido init usemodal true ismodalopen true onmodalrequestclose function update options with the state of the modal onfido setoptions ismodalopen false token your sdk token oncomplete function data callback for when everything is complete console log everything is complete script body use a button to trigger the onfido sdk button onclick triggeronfido verify identity button div id onfido mount div body ismodalopen boolean optional defines whether the modal is open or closed if usemodal is set to true the default value is false to change the state of the modal after calling init you need to use setoptions shouldcloseonoverlayclick boolean optional if usemodal is set to true by default the user can close the sdk by clicking on the close button or on the background overlay you can disable the user s ability to close the sdk by clicking the background overlay through setting shouldcloseonoverlayclick to false the default value is true autofocusoninitialscreentitle boolean optional sets the sdk to auto focus on the initial screen s title by default the sdk will auto focus on every screen s title when disabled auto focus will not be applied for the initial screen s title the sdk will still auto focus to all subsequent screens titles as the user goes through the steps the default value is true containerid string optional a string of the id of the container element that the ui will mount to this needs to be an empty element the default id is onfido mount if your integration needs to pass the container element itself use containerel as described next containerel element optional the container element that the ui will mount to this needs to be an empty element this can be used as an alternative to passing in the container id string previously described for containerid note that if containerel is provided then containerid will be ignored smsnumbercountrycode string optional you can change the default country for the sms number input by passing the smsnumbercountrycode option when the sdk is initialized the value should be a string containing a 2 character iso country code if empty the sms number country code will default to gb javascript smsnumbercountrycode us userdetails object optional the following user details can be specified ahead of time so that the user doesn t need to provide the information themselves smsnumber optional the user s mobile number which can be used for sending sms messages to the user for example when a user requests to use their mobile devices to take photos the value should be a string containing the mobile number with a country code javascript userdetails smsnumber 447500123456 steps list optional the list of different steps to be shown in the sdk flow and their custom options each step can either be specified as a string when no customization is required or an object when customization is required javascript steps type welcome options title open your new bank account document face see flow customization flow customization for details of the custom options for each step customizing the sdk the web sdk has multiple customizable features that provide flexibility while also being easy to integrate you can also read our sdk customization guide https developers onfido com guide sdk customization ui customization customui object optional please refer to the sdk ui customization documentation ui customization md for details of the supported ui customization options that can be set in this property language localization language string object optional you can customize the language displayed on the sdk by passing a string or object if language is not present we will use the browser s language setting if the browser s language is not supported we will default to english en us supported languages the sdk supports and maintains the following languages these can be implemented directly inside the sdk by passing the language option as a string containing the supported language tag language locale tag direction arabic ar rtl armenian hy bulgarian bg chinese simplified zh cn chinese traditional zh tw croatian hr czech cs danish da dutch nl english united kingdom en gb english united states en us estonian et finnish fi french fr french canadian fr ca german de greek el hebrew he rtl hindi hi hungarian hu indonesian id italian it japanese ja korean ko latvian lv lithuanian lt malay ms norwegian no persian fa rtl polish pl portuguese pt portuguese brazil pt br romanian ro russian ru serbian sr slovak sk slovenian sl spanish es spanish latin america es 419 swedish sv thai th turkish tr ukrainian uk vietnamese vi example javascript language pt br es custom languages the sdk can also be displayed in a custom language for locales that onfido does not currently support to implement this pass an object containing the following keys key description notes locale required br a locale tag this is required when providing phrases for an unsupported language you can also use this to partially customize the strings of a supported language e g spanish by passing a supported language locale tag e g es es for missing keys the values will be displayed in the language specified within the locale tag if supported otherwise they will be displayed in english the locale tag is also used to override the language of the sms body for the cross device feature this feature is owned by onfido and is currently only supports english spanish french and german direction optional br direction of reading set the direction of reading either left to right or right to left values ltr or rtl default ltr phrases required br an object containing the keys you want to override and the new values the keys can be found in src locales en us en us json src locales en us en us json they can be passed as a nested object or as a string using the dot notation for nested values see the examples below mobilephrases optional br an object containing the keys you want to override and the new values the values specified within this object are only visible on mobile devices please refer to the mobilephrases property in src locales en us en us json src locales en us en us json note support for standalone mobilephrases key will be deprecated soon consider nesting it inside phrases if applicable javascript language locale en us direction ltr phrases welcome title my custom title mobilephrases capture driving licence instructions this string will only appear on mobile flow customization welcome this step is the introduction screen of the sdk it displays a summary of the capture steps the user will pass through these steps can be specified to match the flow required this is an optional screen the custom options are title string descriptions string nextbutton string document in the document capture step an end user can select the issuing country and document type before capture this information is used to optimize the capture experience as well as inform the end user about which documents they are allowed to use this selection screen is optional and will be automatically hidden where the end user is not required to indicate which document will be captured by default when the selection screen is shown the country selection will be empty choose documents type demo choose document png the above images are for web sdk versions 8 3 0 for previous designs see previous sdk reference guides you can specify allowed issuing countries and document types for the document capture step in one of three ways if you are using onfido studio this is configured within a document capture task documented in the studio product guide https developers onfido com guide onfido studio product document capture task otherwise for onfido classic you can set this globally in your dashboard recommended or hard code it into your sdk integration both of these options are documented below country and document type selection by dashboard configuring the issuing country and document type selection step using your dashboard is the recommended method of customization available from web sdk https documentation onfido com sdk web version 10 0 0 onwards as this configuration is also applied to your document reports any document that has been uploaded by an end user against your guidance will result in a document report sub result of rejected and be flagged as image integrity supported document we will be rolling out dashboard based configuration of allowed documents soon in the meantime contact support onfido com mailto support onfido com or your customer support manager to request access to this feature open the accounts tab on your dashboard https dashboard onfido com then click supported documents you will be presented with a list of all available countries and their associated supported documents make your selection then click save change the supported documents tab in the dashboard demo supported documents dashboard png please note hard coding any document type and issuing country configuration in your sdk integration will fully override the dashboard based settings currently only passport national id card driving licence and residence permit are visible for document selection by the end user in the sdk if you nominate other document types in your dashboard visa for example these will not be displayed in the user interface if you need to add other document types to the document selection screen you can mitigate this limitation in the near term using the custom document feature if for any reason the configuration fails or is not enabled the sdk will fallback to display the selection screen for the complete list of documents supported within the selection screens country and document type selection sdk integration code if you want to use your own custom document selection ui instead of displaying the onfido document selection screen you will need to specify the document details during sdk initialization the document selection screen will be skipped automatically when the single document type is specified the sdk will accept the following the document type is required this controls fundamental sdk document capture behaviour the country is optional but recommended this enables any optimizations the sdk may have for this specific document issued by this country the document format is optional and only accepted for french driving licence italian national identity card and south african national identity card this defaults to card representing modern forms of these documents if the end user indicates that they have an older paper version of one of these documents use folded to ensure an optimized capture experience the custom options are documenttypes object the list of document types visible to the user can be filtered by using the documenttypes option when documenttypes is not defined the default value for each document type is true when documenttypes is defined it will override the default values absent types are considered false country string document country can be specified per document type the country configuration for a document type allows you to specify the issuing country of the document as a string containing a 3 letter iso 3166 1 alpha 3 country code if documenttypes only includes one document type with a country value users will not see the document selection screen and instead will be taken directly to the capture screen note the null value is deprecated and has no effect note passports have the same format worldwide so the sdk will not show the country selection screen even if they are not restricted by country e g passport true for example if you want to allow only spanish esp driving licences and national identity cards and residence permits for all countries json steps welcome type document options documenttypes driving licence country esp national identity card true residence permit true complete in the web sdk it is also possible to remove the country selection entirely from the document selection screen set the hidecountryselection option to true to show all supported document types in a single list with no country selection note that without capturing the country information the sdk is unable to apply optimized capture experiences for specific documents and we are not able to perform fine grained analytics based on country selection see more details in the technical reference here https documentation onfido com sdk web note you may still wish to configure the dashboard based approach to ensure that the document report also rejects any document that has been uploaded by an end user against your guidance cross device flow the web sdk offers a cross device flow where desktop users are directed to continue on their mobile device browser to complete the capture process providing vastly improved image quality versus a typical desktop webcam and an increased likelihood of live capture the user is offered a qr code to scan with their camera app which then resumes the flow on their mobile device browser for users that cannot scan a qr code a copy link feature and send link with sms feature are also available regardless of the cross device method the secure url is unique to this session when a user switches to the sdk s cross device flow they will see an introductory screen https developers onfido com guide sdk customization cross device mobile client introductory screen when the sdk client loads on their mobile browser at the end of the capture process users will be redirected back to their desktop to complete the sdk flow it is recommended to enforce the cross device flow the option is available in onfido studio configurable in the workflow builder https developers onfido com guide onfido studio product document capture task in a classic integration the cross device flow is configured by setting forcecrossdevice to true javascript options forcecrossdevice true when configured forcecrossdevice makes the cross device flow mandatory for all users who will be required to complete the capture process on a mobile device browser the forcecrossdevice functionality can be configured for both the document capture and proof of address verification steps forcecrossdevice cannot be configured for face captures force cross device flow demo cross device png when a user switches to the sdk s cross device flow they will see an introductory screen when the sdk client loads on their mobile browser this screen notifies the user that this is part of a flow initiated on a desktop browser when they open the cross device link on their mobile browser the following optional customizations are available for the introductory screen specify company or product name crossdeviceclientintroproductname you can customize the text by adding your company or product name to the subtitle we recommend that you set this so that the user can identify the purpose of the flow when they open the cross device link this is also an opportunity to include your branding in the sdk flow display company or product logo crossdeviceclientintroproductlogosrc you can customize the icon by adding your company or product logo to be displayed instead of the default sdk icon image we recommend that you set this so that the user can identify the purpose of the flow when they open the cross device link this is also an opportunity to include your branding in the sdk flow the image used should be no more than 144px in both height and width cross device intro screen demo cross device logo png genericdocumenttypes object you can add generic documents that are not supported by onfido they will be displayed at the bottom of the built in document types javascript genericdocumenttypes id my single side document title my single side document subtitle details about my document country alb pages 1 id my two sides document title my two sides document subtitle details about my document country alb pages 2 in the same way to other document types you can skip the document selection screen by adding a single generic document object which references one of your generic documents declared in genericdocumenttypes javascript documenttypes generic document id my single side document poa this is the proof of address capture step users will be asked to select the issuing country of their document the document type and to provide images of their selected document they will also have a chance to check the quality of the images before confirming there are no custom options for this step face this is the face capture step users will be asked to capture their face in the form of a photo a video or a motion capture for photos and videos they will also have a chance to check its quality before confirming the custom options are requestedvariant string default standard a preferred variant can be requested for this step by passing the option requestedvariant standard video motion if requestedvariant is standard a photo will be captured video a video will be captured motion a motion capture will be captured the sdk will try to fulfil this request depending on camera availability device capabilities and browser support on the user s device if a video cannot be taken the face step can be configured to fallback to the standard variant see photocapturefallback if motion is not available the face step can be configured to fallback to either video or standard variants see motionfallbackvariant if the sdk is initialized with the requestedvariant option for the face step make sure you use the data returned in the oncomplete callback handling callbacks to request the correct report when creating a check usemultipleselfiecapture boolean default true when enabled this feature allows the sdk to take additional selfie snapshots to help improve face similarity check accuracy when disabled only one selfie photo will be taken photocapturefallback boolean default true this feature only applies to the video https developers onfido com guide facial similarity reports video variant when enabled it allows end users to capture a selfie if their browser does not support mediarecorder when disabled we will return an unsupported browser error if the end user browser doesn t support mediarecorder motionfallbackvariant string default undefined this feature only applies to the motion https developers onfido com guide facial similarity reports motion variant and it allows to specify which face capture variant users will fallback to if motion is not available on the end user device due to mediarecorder not being supported or to limited device capabilities if no variant is specified then users on unsupported devices will receive an unsupported browser error instead the following example shows how to configure motionfallbackvariant to allow users on unsupported devices to fallback to selfie javascript options requestedvariant motion motionfallbackvariant standard the following example shows how to configure motionfallbackvariant to allow users on unsupported devices to fallback to video javascript options requestedvariant motion motionfallbackvariant video recordmotionaudio boolean default false when enabled and the requested variant is motion this feature allows motion to record the user background audio please note that if a camera can t be detected we forward the user to the cross device flow in order to attempt to capture in another device complete this is the final completion step the screen displays a completion message to signal the next steps to the user this is an optional screen the custom options are message string submessage string cross device mobile client introductory screen when a user switches to the sdk s cross device flow they will see an introductory screen when the sdk client loads on their mobile browser default cross device mobile client introductory screen demo cross device client intro png crossdeviceclientintroproductname string optional you can customize the text by adding your company or product name to the subtitle with this option we recommend that you set this alongside the corresponding crossdeviceclientintroproductlogosrc below to notify the user that this is part of a flow initiated on a desktop or laptop browser when they open the cross device link on their mobile browser this is also an opportunity to include your branding in the sdk flow javascript onfido init token your sdk token crossdeviceclientintroproductname for a company product name loan cross device client intro screen with client product name and copy demo cross device client intro example 1 png crossdeviceclientintroproductlogosrc string optional you can customize the icon by adding your company or product logo to be displayed instead of the default sdk icon image with this option we recommend that you set this alongside the corresponding crossdeviceclientintroproductname above to notify the user that this is part of a flow initiated on a desktop browser when they open the cross device link on their mobile browser this is also an opportunity to include your branding in the sdk flow the image used should be no more than 144px in both height and width javascript onfido init token your sdk token crossdeviceclientintroproductlogosrc path to logo image file cross device client intro screen with client product logo demo cross device client intro example 2 png changing options in runtime it s possible to change the options initialized at runtime javascript onfidoout onfido init change the title of the welcome screen onfidoout setoptions steps type welcome options title new title document face complete replace the jwt token onfidoout setoptions token your new sdk token open the modal onfidoout setoptions ismodalopen true the new options will be shallowly merged with the previous one so you can only pass the differences to a get a new flow creating checks the sdk is responsible for the capture of identity documents and selfie photos videos and motion captures it doesn t perform any checks against the onfido api https documentation onfido com you need to access the onfido api in order to manage applicants and perform checks 1 creating a check for a walkthrough of how to create a document and facial similarity check using the web sdk read our web sdk quick start guide https developers onfido com guide web sdk quick start for further details on how to create a check https documentation onfido com create check with the onfido api note if you are testing with a sandbox token please be aware that the results are pre determined you can learn more about sandbox responses https documentation onfido com pre determined responses note if you are currently using api v2 please refer to this migration guide https developers onfido com guide api v2 to v3 migration guide for more information 2 setting up webhooks reports may not always return actual results https documentation onfido com results straightaway you can set up webhooks https developers onfido com guide get started integrating set up a webhook to be notified upon completion of a check or report or both user analytics the sdk allows you to track a user s journey through the verification process via a dispatched event this gives insight into how your users make use of the sdk screens overriding the hook in order to track a user s progress through the sdk an eventlistener must be added that listens for useranalyticsevent events this can be done anywhere within your application for example javascript addeventlistener useranalyticsevent event your code here the code inside of the eventlistener will now be called when a particular event is triggered for a full list of events see tracked events tracked events the parameter being passed in is an event object the details related to the user analytics event can be found at the path event detail and are as follows eventname string br indicates the type of event this will always be returned as screen as each tracked event is a user visiting a screen properties map object br contains the specific details of an event for example the name of the screen visited using the data you can use the data to monitor how many users reach each screen in your flow you can do this by storing the number of users that reach each screen and comparing that to the number of users who reached the welcome screen tracked events below is the list of potential events currently being tracked by the hook welcome user reached the welcome screen user consent user reached the user consent screen document type select user reached the choose document screen where the type of document to upload can be selected id document country select user reached the select issuing country screen where the the appropriate issuing country can be searched for and selected if supported cross device intro user reached the cross device continue on your phone intro screen cross device get link user reached the cross device get your secure link screen cross device start user reached the document capture screen on mobile after visiting the cross device link document capture front user reached the document capture screen for the front side for one sided or two sided document document capture back user reached the document capture screen for the back side for two sided document document capture confirmation front user reached the document confirmation screen for the front side for one sided or two sided document document capture confirmation back user reached the document confirmation screen for the back side for two sided document facial intro user reached the selfie intro screen facial capture user reached the selfie capture screen facial capture confirmation user reached the selfie confirmation screen video facial intro user reached the face video intro screen video facial capture step 1 user reached the 1st challenge during face video capture challenge type can be found in eventproperties video facial capture step 2 user reached the 2nd challenge during face video capture challenge type can be found in eventproperties motion facial intro user reached the motion intro screen motion facial alignment user reached the motion alignment screen motion facial capture user reached the motion capture screen motion facial no face detected user s face was not detected motion facial capture error timeout user s motion capture timed out motion facial capture error too fast user performed the motion headturn too fast motion facial upload user s motion capture is uploading motion facial upload completed user s motion capture finished uploading motion facial connection error user was presented the motion connection error screen during upload upload user s file is uploading premium enterprise features please refer to the premium enterprise features documentation enterprise features md for details of the following features offered to our enterprise customers customized api requests callbacks overview cross device url the above features must be enabled for your account before they can be used for more information please contact your onfido solution engineer or customer success manager going live once you are happy with your integration and are ready to go live please contact client support onfido com mailto client support onfido com to obtain a live api token you will have to replace the sandbox token in your code with the live token check the following before you go live you have set up webhooks https documentation onfido com webhooks to receive live events you have entered correct billing details inside your onfido dashboard https onfido com dashboard accessibility the onfido sdk has been optimised to provide the following accessibility support by default screen reader support accessible labels for textual and non textual elements available to aid screen reader navigation including dynamic alerts keyboard navigation all interactive elements are reachable using a keyboard sufficient color contrast default colors have been tested to meet the recommended level of contrast sufficient touch target size all interactive elements have been designed to meet the recommended touch target size refer to our accessibility statement https developers onfido com guide sdk accessibility statement for more details note if you make your own ui customizations you are responsible for ensuring that the ui changes will still adhere to accessibility standards for example accessible color contrast ratios and dyslexic friendly fonts typescript from version 6 5 0 typescript is officially supported providing typings for init method options argument sdkoptions and return object sdkhandle of init method arguments sdkresponse and sdkerror for oncomplete and onerror callbacks steps option steptypes and stepconfig language option supportedlanguages and localeconfig region option serverregions more information browser compatibility chrome https raw githubusercontent com alrra browser logos master src chrome chrome 48x48 png firefox https raw githubusercontent com alrra browser logos master src firefox firefox 48x48 png edge https raw githubusercontent com alrra browser logos master src edge edge 48x48 png safari https raw githubusercontent com alrra browser logos master src safari safari 48x48 png latest latest latest latest node js compatibility the sdk is compatible with the all supported node js versions currently starting with node js 16 troubleshooting content security policy issues in order to mitigate potential cross site scripting issues most modern browsers use a content security policy csp these policies might prevent the sdk from correctly displaying the images captured during the flow or correctly load styles if csp is blocking some of the sdk functionalities make sure you add the following snippet inside the head tag of your application html meta http equiv content security policy content default src self https assets onfido com script src self unsafe eval https assets onfido com https sentry io https sardine ai style src self https assets onfido com connect src self data blob onfido com wss onfido com https sentry io img src self data blob https assets onfido com media src blob https assets onfido com worker src self blob object src self blob frame src self data blob https sardine ai sdk navigation issues in rare cases the sdk back button might not work as expected within the application history this is due to the interaction of history createbrowserhistory with the browser history api if you notice that by clicking on the sdk back button you get redirected to the page that preceeded the sdk initialization you might want to consider using the following configuration option when initialising the sdk usememoryhistory true this option allows the sdk to use the history creatememoryhistory function instead of the default history createbrowserhistory this option is intended as workaround while a more permanent fix is implemented example javascript onfido init usememoryhistory true iframe camera and microphone permission issues if embedded inside a cross origin iframe the sdk may fail to access the camera and microphone this is a known issue on recent chrome versions where requests fail in a similar way as if a user had denied a permission prompt you may need to add the following allow attribute to your iframe html iframe src allow camera microphone iframe upload fallback onfido web sdk versions 13 0 0 have a parameter named uploadfallback that can be set on both the document step and the face step this parameter allowed clients to present end users with a file input capability during the sdk flow this client side optional parameter has been removed in web sdk 13 and above to enhance security which means users will not have the option to upload files during the sdk flow however file upload can be enabled as an option for end users as a backend configuration if requested through the onfido support team support please open an issue through github https github com onfido onfido sdk ui issues please be as detailed as you can remember not to submit your token in the issue also check the closed issues to check whether it has been previously raised and answered if you have any issues that contain sensitive information please send us an email with the issue at the start of the subject to web sdk onfido com mailto web sdk onfido com previous versions of the sdk will be supported for a month after a new major version release note that when the support period has expired for an sdk version no bug fixes will be provided but the sdk will keep functioning until further notice how is the onfido sdk licensed please see license https github com onfido onfido sdk ui blob master license for licensing details | onfido-sdk onfido sdk javascript browser | front_end |
expense-backend | p align center a href http nestjs com target blank img src https nestjs com img logo text svg width 320 alt nest logo a p circleci image https img shields io circleci build github nestjs nest master token abc123def456 circleci url https circleci com gh nestjs nest p align center a progressive a href http nodejs org target blank node js a framework for building efficient and scalable server side applications p p align center a href https www npmjs com nestjscore target blank img src https img shields io npm v nestjs core svg alt npm version a a href https www npmjs com nestjscore target blank img src https img shields io npm l nestjs core svg alt package license a a href https www npmjs com nestjscore target blank img src https img shields io npm dm nestjs common svg alt npm downloads a a href https circleci com gh nestjs nest target blank img src https img shields io circleci build github nestjs nest master alt circleci a a href https coveralls io github nestjs nest branch master target blank img src https coveralls io repos github nestjs nest badge svg branch master 9 alt coverage a a href https discord gg g7qnnhy target blank img src https img shields io badge discord online brightgreen svg alt discord a a href https opencollective com nest backer target blank img src https opencollective com nest backers badge svg alt backers on open collective a a href https opencollective com nest sponsor target blank img src https opencollective com nest sponsors badge svg alt sponsors on open collective a a href https paypal me kamilmysliwiec target blank img src https img shields io badge donate paypal ff3f59 svg a a href https opencollective com nest sponsor target blank img src https img shields io badge support 20us open 20collective 41b883 svg alt support us a a href https twitter com nestframework target blank img src https img shields io twitter follow nestframework svg style social label follow a p backers on open collective https opencollective com nest backers badge svg https opencollective com nest backer sponsors on open collective https opencollective com nest sponsors badge svg https opencollective com nest sponsor description nest https github com nestjs nest framework typescript starter repository installation bash npm install running the app bash development npm run start watch mode npm run start dev production mode npm run start prod test bash unit tests npm run test e2e tests npm run test e2e test coverage npm run test cov support nest is an mit licensed open source project it can grow thanks to the sponsors and support by the amazing backers if you d like to join them please read more here https docs nestjs com support stay in touch author kamil my liwiec https kamilmysliwiec com website https nestjs com https nestjs com twitter nestframework https twitter com nestframework license nest is mit licensed license | typescript nestjs nodejs nest javascript | server |
uncommongen | say what you mean large language models speak too positively about negative commonsense knowledge this repo contains the experimental code and resources used in our acl 2023 paper say what you mean large language models speak too positively about negative commonsense knowledge https github com jiangjiechen uncommongen install requirements bash export pj home your working dir uncommongen export openai api key your api key pip3 install r requirements txt download datasets the csk pn dataset can be found at google drive https drive google com drive folders 1kqeiuvhqh7ruqbjwuiykykfoq k3vuyw usp sharing in jsonline format since running openai models are costly we also release the generated results by these llms along with the dataset so it s a pretty big json per line you will find them nested under cg pred qa pred etc how to run note openai has deprecated code davinci 002 running constrained generation cg for detailed parameters please refer to constrained generation llm constrained generation py an example bash python3 constrained generation llm constrained generation py i input file o output file m model name posk posk negk negk b 16 cot none running boolean question answering qa for detailed parameters please refer to boolqa llm answer prediction py an example bash python3 boolqa llm answer prediction py i input file o output file m model name posk posk negk negk b 16 cot none evaluation evaluate constrained generation cg bash python3 evaluation eval constrained generation py i input file m model key note that model key is the id of a generation in the input json file typically in the form of model name ex posk p negk n such as text davinci 002 ex 3p3n different parameters could result in different model keys please check the code carefully evaluate boolean question answering qa bash python3 evaluation eval boolqa py i input file m model key same note as the cg task citation if you find our paper or resources useful please kindly cite our paper if you have any questions please contact us mailto jjchen19 fudan edu cn latex inproceedings chen etal 2023 say title say what you mean large language models speak too positively about negative commonsense knowledge author chen jiangjie and shi wei and fu ziquan and cheng sijie and li lei and xiao yanghua booktitle proceedings of the 61st annual meeting of the association for computational linguistics volume 1 long papers month jul year 2023 address toronto canada publisher association for computational linguistics url https aclanthology org 2023 acl long 550 pages 9890 9908 abstract large language models llms have been widely studied for their ability to store and utilize positive knowledge however negative knowledge such as lions don t live in the ocean is also ubiquitous in the world but rarely mentioned explicitly in text what do llms know about negative knowledge this work examines the ability of llms on negative commonsense knowledge we design a constrained keywords to sentence generation task cg and a boolean question answering task qa to probe llms our experiments reveal that llms frequently fail to generate valid sentences grounded in negative commonsense knowledge yet they can correctly answer polar yes or no questions we term this phenomenon the belief conflict of llms our further analysis shows that statistical shortcuts and negation reporting bias from language modeling pre training cause this conflict | large-language-models | ai |
learn-nextjs | learn modern web development using next js 13 in baby steps next js conf keynote announcing version 13 img src next13 png width 75 https www youtube com watch v niknni 0j48 keynote next js 13 the future of the web from cloud to edge https www youtube com watch v hlxlvb3qcvq next js 13 docs https nextjs org docs before going forward check out this directory of headless ecommerce stores that excel at both design and performance also check out the tools they are using https theheadlessclub com tools the stack used in this learning repo it is a mixture of jamstack https jamstack org and t3 https create t3 gg stacks typescript https www typescriptlang org next js 13 https nextjs org blog next 13 chakra ui https chakra ui com trpc https trpc io prisma https www prisma io strapi https strapi io cockroachdb serverless https www cockroachlabs com blog announcing cockroachdb serverless sql and mongodb atlas https www mongodb com atlas database nosql this repo is part of the certified web 3 0 and metaverse developer training program https www panaverse co before start learning from this repo learn typescript https github com panacloud modern global apps learn typescript and by doing these typescript node js projects https github com panacloud modern global apps chakra nextjs projects checkout the practice problems for next js 13 https www practiceprobs com problemsets nextjs dunder mifflin step by step guide to full stack web development next js13 tailwind prisma postgresql typescript https www youtube com watch v gxkwmm j850 after completing this repo you should move to these specialized web 3 learning repos next dapps learning repo https github com panacloud modern global apps dapps nextjs smart contract development repo https github com panacloud modern global apps defi dapps solidity smart contracts learn chakra ui by doing projects chakra ui next projects repo https github com panacloud modern global apps chakra nextjs projects | nextjs serverless typescript tailwindcss react serverless-functions neon sanity shadcn-ui drizzle-orm | front_end |
PyBioMed | build status https travis ci org gadsbyfly pybiomed svg branch master https travis ci org gadsbyfly pybiomed https img shields io pypi l django svg https img shields io badge dependencies rdkit 2c 20pybel green svg https img shields io badge platforms linux 2c 20windows brightgreen svg introduction pybiomed provides various user friendly and highly customized apis to calculate various features descriptors of biological molecules chemicals proteins and dna rna descriptors and complex interaction samples conveniently which aims at building integrated analysis pipelines from data acquisition data checking and descriptor calculation to modeling the download link https codeload github com gadsbyfly pybiomed zip refs heads master installation install pybel and rdkit to install pybel http openbabel org docs current usethelibrary pythoninstall html to install rdkit http www rdkit org docs install html install pybiomed pybiomed has been successfully tested on linux and windows systems after installing rdkit and pybel successfully the author could download the pybiomed package via github https codeload github com gadsbyfly pybiomed zip refs heads master the install process of pybiomed is very easy on windows 1 download the pybiomed 1 0 zip 2 extract or uncompress the pybiomed 1 0 zip file 3 cd pybiomed 1 0 4 python setup py install on linux 1 download the pybiomed package zip 2 unzip pybiomed 1 0 zip 3 cd pybiomed 1 0 4 python setup py install or sudo python setup py install recommended installation there is a simplest configuration on ubuntu 14 04 just click mouse to install 1 use the ubuntu software center to search for synaptic package manager and install it use synaptic package manager to search for openbabel libopenbabel4 python openbabel libopenbabel dev and then install them search for python rdkit librdkit1 rdkit data and install them this will make sure the right installation of pybel and rdkit 2 download pybiomed 1 0 zip cd pybiomed 1 0 python setup py install or sudo python setup py install documentation 1 the online version of the documentation http projects scbdd com pybiomed index html alternatively on readthedocs io http pybiomed readthedocs io en latest 2 quick start examples http projects scbdd com pybiomed user guide html alternatively on readthedocs io http pybiomed readthedocs io en latest user guide html 3 application examples pipelines http projects scbdd com pybiomed application html alternatively on readthedocs io http pybiomed readthedocs io en latest application html contact if you have questions or suggestions please contact gadsby 163 com biomed csu edu cn and oriental cds 163 com please see the file license for details about the new bsd license which covers this software and its associated data and documents center copyright c 2015 2020 cbdd group center | ai |
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IIT | iit introduction to information technology | server |
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Computer_Vision_cs543_spring2014 | implementation of assignments for computer vision cs543 course at uiuc spring 2014 assignment questions can be found here 1 http slazebni cs illinois edu spring14 assignment1 html 2 http slazebni cs illinois edu spring14 assignment2 html 3 http slazebni cs illinois edu spring14 assignment3 html 4 http slazebni cs illinois edu spring14 assignment4 html | ai |
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CloudIoTHack | cloud city iot hack overview this repo contains content for the cloud city iot hack an event that provides developers with a hands on introduction to some of the very best features microsoft azure has to offer including iot hubs https azure microsoft com services iot hub event hubs https azure microsoft com services event hubs azure functions https azure microsoft com services functions stream analytics https azure microsoft com services stream analytics and cognitive services https azure microsoft com services cognitive services four hands on labs are located in folders named hol 1 hol 2 hol 3 and hol 4 here s a synopsis of those labs hol 1 hol 201 hol 201 20 20mxchip md attendees create an azure iot hub and program an mxchip mxchip https microsoft github io azure iot developer kit to send accelerometer data to it hol 2 hol 202 hol 202 20 20functions 20and 20event 20hubs md attendees create an azure event hub and deploy an azure function that transforms accelerometer data input to the iot hub into flight data denoting the disposition on an airplane and transmits it to the event hub then they connect a uwp client app to the event hub and use their mxchip to fly a simulated airplane hol 3 hol 203 hol 203 20 20stream 20analytics md the instructor creates a pair of event hubs and deploys a stream analytics job that analyzes all the air traffic in the room for aircraft that are within two miles of each another he or she also deploys a uwp app that shows all the air traffic this hol is instructor led hol 4 hol 204 hol 204 20 20putting 20it 20all 20together md attendees modify the azure function they deployed in hol 2 to transmit flight data to the input hub used by stream analytics they also connect the client app to the stream analytics output and modify the app to transmit warning messages back to the mxchip when their aircraft are within two miles of another the repo also has five source code folders flysim a visual studio 2017 solution containing the client app that attendees use to fly simulated airplanes flysimembedded the code attendees upload to the mxchip to program it to send accelerometer data to an azure iot hub flysimfunctions the source code of azure functions to process and send accelerometer data from the created azure iot hub into azure event hub airtrafficsim a visual studio 2017 solution containing the air traffic control atc app that shows all the airplanes in flight and highlights those that are within two miles of each other flysimtest a visual studio 2017 solution containing a command line app for injecting simulated aircraft into airtrafficsim it s great for testing and also for adding airplanes to the atc sector if there aren t enough attendees at the event to make things interesting to prepare it for use replace shared event hub endpoint on line 54 with the endpoint connection string for the event hub that provides input to stream analytics by default it injects 20 airplanes you can inject more or less by specifying the desired number as a command line parameter for an overview of the end to end solution featured in the event see the introduction to hol 1 hol 201 hol 201 20 20mxchip md contributing this project welcomes contributions and suggestions most contributions require you to agree to a contributor license agreement cla declaring that you have the right to and actually do grant us the rights to use your contribution for details visit https cla microsoft com when you submit a pull request a cla bot will automatically determine whether you need to provide a cla and decorate the pr appropriately e g label comment simply follow the instructions provided by the bot you will only need to do this once across all repos using our cla this project has adopted the microsoft open source code of conduct https opensource microsoft com codeofconduct for more information see the code of conduct faq https opensource microsoft com codeofconduct faq or contact opencode microsoft com mailto opencode microsoft com with any additional questions or comments | server |
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lebanon-web-bootcamp-002 | lebanon web bootcamp 002 collective repo for activities and assignments of lebanon web development bootcamp students this is abdulrahman playing | front_end |
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TeaDatabase | cursovayabd educational project completed as part of the course work on sql databases dstu student 3rd year department of software engineering tea database c net development performs basic crud create read update delete operations | server |
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fakebook | fakebook a modern clone of facebook using react and redux why there are surprisingly few complex open source examples of redux applications managing relational data in a non trivial app is not an easy task and yet there aren t many good examples the main purpose of this project is to show one method of managing redux state across a large ish application this repo strives to be modern it uses react router v4 redux saga reselect inline styles through aphrodite create react app unejected for as long as possible airbnb eslint config caveats i do not wish to rebuild facebook for real this is a front end exercise so all back end data is stubbed while still making async calls for realism facebook is massively complex and there s no sense recreating every feature i m trying to include most of the uniquely complex areas without stretching to include many similar variants of the same thing contribute i would love for others to help me build this example because this is meant as a teaching tool code quality must be top notch follow lint rules etc an abundance of clear comments is necessary with links to external resources when appropriate | front_end |
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Systemizer | p align center img align center src https honzaap github io systemizer assets logo svg width 100 height 100 h1 align center systemizer h1 p p align center img alt scrutinizer build github bitbucket src https img shields io scrutinizer build g honzaap systemizer main style flat square img alt github repo stars src https img shields io github stars honzaap systemizer style flat square img alt github commit activity src https img shields io github commit activity m honzaap systemizer style flat square img alt github last commit src https img shields io github last commit honzaap systemizer color 2411ed style flat square img alt github src https img shields io github license honzaap systemizer style flat square p p systemizer is a system design tool used to create and simulate large scale distributed systems p p align center a href https www buymeacoffee com honzaap target blank img src https www buymeacoffee com assets img custom images orange img png alt buy me a coffee style height 41px important width 174px important box shadow 0px 3px 2px 0px rgba 190 190 190 0 5 important webkit box shadow 0px 3px 2px 0px rgba 190 190 190 0 5 important a p want to try systemizer systemizer is currently hosted on a href https honzaap github io systemizer github pages a gif of systemizer https honzaap github io systemizer assets gifs tutorial0 gif how does systemizer work select a component this can be an api client message queue you name it create customizable endpoints and connect components together send data to endpoints and watch the data flow of your system installation 1 clone repository to your local machine 2 open terminal and cd into repository folder 3 run npm install 4 run npm run start 5 systemize documentation documentation can be found in the a href https github com honzaap systemizer wiki wiki section a of this repo contributing to learn about contributing visit the a href https github com honzaap systemizer wiki how to contribute how to contribute a section you can also check a href https github com honzaap systemizer issues issues a to see if there is anything you want to help with | system-design microservices distributed-systems microservices-architecture web-development scalability backend architecture design-tool database server data-flow visualization | os |
HHIMS | hhims installation of hhims quick guide 1 install lamp on the pc under linux 2 clone this repository with all its files to var www 3 give this directory read privileges sudo chmod 755 var www r 4 the repository comes with a demonstration license if you want the name of your hospital practice to appear on the reports apply for a license from hhims org this license is free copy the license file that you obtain from hhims org into this directory www 5 you have to enter your information into the file var www application config database php at the top of this file there are four define commands that you will need to correct e mail is only used for sending out notifications not essential these are database connection informations php db default hostname localhost 3306 db default dbdriver mysql enter the user name and passwor details here for mysql php db default username db default password db default database 6 open mysql with the linux command mysql p 7 create a blank database using command create database hhims 8 give the mysql command use hhims 8 give the mysql command source var www install install sql 9 give the mysql command source var www install data sql 10 start hhims from your web browser we recommend google s chrome browser by entering the url 127 0 0 1 11 to log on to hhims as a programmer with all privileges username demo password 123 12 if you want to run in a local area network give a fixed ip number to the machine with the system on it and simply type that number into the browser on the other machines we recommend the operating system ubuntu installations are also available for microsoft windows and apple mac pcs contact info hhims org note the basic distribution does not contain the snomed ct terminology you may qualify for a copy of the snomed ct terminology for use within sri lanka make a request to info hhims org with a brief statement on how you intend to use it for further information look at our web site www hhims org for latest developments look at our demo site http hhims mdsfoss org | server |
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FreeRTOS-Cellular-Interface | freertos cellular interface on this page introduction introduction getting started getting started download the source code download the source code folder structure folder structure implement comm interface with mcu platforms implement comm interface with mcu platforms adding support for new cellular modems adding support for new cellular modems integrate freertos cellular interface with application integrate freertos cellular interface with application building unit tests building unit tests generating documentation generating documentation contributing contributing introduction the cellular interface library implement a simple unified application programming interfaces apis https www freertos org documentation api ref cellular index html that hide the complexity of at commands the cellular modems to be interchangeable with the popular options built upon tcp stack and exposes a socket like interface to c programmers most cellular modems implement more or less the at commands defined by the 3gpp ts v27 007 https portal 3gpp org desktopmodules specifications specificationdetails aspx specificationid 1515 standard this project provides an implementation of such standard at commands in a reusable common component https github com freertos freertos cellular interface tree main source include common the three cellular libraries in this project all take advantage of that common code the library for each modem only implements the vendor specific at commands then exposes the complete cellular api the common component that implements the 3gpp ts v27 007 standard has been written in compliance of the following code quality criteria gnu complexity scores are not over 8 misra coding standard any deviations from the misra c 2012 guidelines are documented in source code comments marked by coverity freertos cellular interface v1 3 0 source code https github com freertos freertos cellular interface tree v1 3 0 source is part of the freertos 202210 00 lts https github com freertos freertos lts tree 202210 00 lts release getting started download the source code to clone using https git clone https github com freertos freertos cellular interface git using ssh git clone git github com freertos freertos cellular interface git folder structure at the root of this repository are these folders source reusable common code that implements the standard at commands defined by 3gpp ts v27 007 docs documentations test unit test and cbmc tools tools for coverity static analysis and cmock implement comm interface with mcu platforms the freertos cellular interface runs on mcus it uses an abstracted interface the comm interface https github com freertos freertos cellular interface tree main source interface cellular comm interface h to communicate with cellular modems a comm interface must be implemented as well on the mcu platform the most common implementations of the comm interface are over uart hardware but it can be implemented over other physical interfaces such as spi as well the documentation of the comm interface is found within the cellular api references https www freertos org documentation api ref cellular cellular porting html cellular porting comm if these are example implementations of the comm interface freertos windows simulator comm interface https github com freertos freertos blob main freertos plus demo freertos cellular interface windows simulator common comm if windows c freertos common io uart comm interface https github com aws amazon freertos blob feature cellular vendors st boards stm32l475 discovery ports comm if comm if uart c stm32 l475 discovery board comm interface https github com aws amazon freertos blob feature cellular vendors st boards stm32l475 discovery ports comm if comm if st c sierra sensor hub board comm interface https github com aws amazon freertos blob feature cellular vendors sierra boards sensorhub ports comm if comm if sierra c the freertos cellular interface uses kernel apis for task synchronization and memory management adding support for new cellular modems freertos cellular interface now supports at commands tcp offloaded cellular abstraction layer in order to add support for a new cellular modem the developer can use the common component https github com freertos freertos cellular interface tree main source include common that has already implemented the 3gpp standard at commands in order to port the common component https www freertos org documentation api ref cellular cellular porting module guide html 1 implement the cellular modem porting interface defined in cellular common portable h https github com freertos freertos cellular interface tree main source include common cellular common portable h document https www freertos org documentation api ref cellular cellular common portable 8h html 2 implement the subset of cellular library apis that use vendor specific non 3gpp at commands the apis to be implemented are the ones not marked with an o in this table https www freertos org documentation api ref cellular cellular common a p is html 3 implement cellular library callback functions that handle vendor specific non 3gpp unsolicited result code urc the urc handlers to be implemented are the ones not marked with an o in this table https www freertos org documentation api ref cellular cellular common u r c handlers html the cellular common apis document https www freertos org documentation api ref cellular cellular porting module guide html provides detail information required in each steps it is recommended that you start by cloning the implementation of one of the existing modems then make modifications where your modem s vendor specific non 3gpp at commands are different current example implementations quectel bg96 https github com freertos freertos cellular interface reference quectel bg96 sierra wireless hl7802 https github com freertos freertos cellular interface reference sierra wireless hl7802 u blox sara r4 https github com freertos freertos cellular interface reference ublox sara r4 integrate freertos cellular interface with application once comm interface and cellular module implementation are ready we can start to integrate freertos cellular interface the following diagram depicts the relationship of these software components p align center img src docs plantuml images cellular components svg width 50 br follow these steps to integrate freertos cellular interface into your project 1 clone this repository into your project 2 clone one of the reference cellular module implementations bg96 hl7802 sara r4 or create your own cellular module implementation in your project 3 implement comm interface 4 build these software components with your application and execute we also provide demos for freertos cellular interface on windows simulator https github com freertos freertos tree main freertos plus demo freertos cellular interface windows simulator as references for these three cellular modems example implementations building unit tests checkout cmock submodule by default the submodules in this repository are configured with update none in gitmodules gitmodules to avoid increasing clone time and disk space usage of other repositories like freertos https github com freertos freertos that submodules this repository to build unit tests the submodule dependency of cmock is required use the following command to clone the submodule git submodule update checkout init recursive test unit test cmock platform prerequisites for building the unit tests cmake 3 13 0 or later and a c90 compiler for running unit tests ruby 2 0 0 or later is additionally required for the cmock test framework that we use for running the coverage target gcov and lcov are additionally required steps to build unit tests 1 go to the root directory of this repository make sure that the cmock submodule is cloned as described above checkout cmock submodule 1 run the cmake command cmake s test b build 1 run this command to build the library and unit tests make c build all 1 the generated test executables will be present in build bin tests folder 1 run cd build ctest to execute all tests and view the test run summary cbmc to learn more about cbmc and proofs specifically review the training material here https model checking github io cbmc training the test cbmc proofs directory contains cbmc proofs in order to run these proofs you will need to install cbmc and other tools by following the instructions here https model checking github io cbmc training installation html reference examples please refer to the demos of the cellular interface library here https github com freertos freertos tree main freertos plus demo freertos cellular interface windows simulator using freertos on the windows simulator platform these can be used as reference examples for the library api generating documentation the doxygen references were created using doxygen version 1 9 2 to generate the doxygen pages please run the following command from the root of this repository shell doxygen docs doxygen config doxyfile contributing see contributing md github contributing md for information on contributing | os |
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Baichuan-7B | markdownlint disable first line h1 markdownlint disable html div align center h1 baichuan 7b h1 div p align center a href https huggingface co baichuan inc baichuan 7b target blank hugging face a a href https modelscope cn organization baichuan inc target blank modelscope a a href https github com baichuan inc baichuan 7b blob main media wechat jpeg raw true target blank wechat a p div align center license https img shields io github license modelscope modelscope svg https github com baichuan inc baichuan 7b blob main license h4 align center p b b a href https github com baichuan inc baichuan 7b blob main readme en md english a p h4 div 2023 09 06 baichuan 2 https github com baichuan inc baichuan2 7b 13b baichuan 7b transformer 1 2 tokens 70 4096 benchmark c eval mmlu benchmark c eval c eval https cevalbenchmark com index html 52 dev few shot test 5 shot bash cd evaluation python evaluate zh py model name or path your model path model 5 shot average avg hard stem social sciences humanities others gpt 4 68 7 54 9 67 1 77 6 64 5 67 8 chatgpt 54 4 41 4 52 9 61 8 50 9 53 6 claude v1 3 54 2 39 0 51 9 61 7 52 1 53 7 claude instant v1 0 45 9 35 5 43 1 53 8 44 2 45 4 bloomz 7b 35 7 25 8 31 3 43 5 36 6 35 6 chatglm 6b 34 5 23 1 30 4 39 6 37 4 34 5 ziya llama 13b pretrain 30 2 22 7 27 7 34 4 32 0 28 9 moss moon 003 base 16b 27 4 24 5 27 0 29 1 27 2 26 9 llama 7b hf 27 1 25 9 27 1 26 8 27 9 26 3 falcon 7b 25 8 24 3 25 8 26 0 25 8 25 6 tigerbot 7b base 25 7 27 0 27 3 24 7 23 4 26 1 aquila 7b sup sup 25 5 25 2 25 6 24 6 25 2 26 6 open llama v2 pretrain 7b 24 0 22 5 23 1 25 3 25 2 23 2 bloom 7b 22 8 20 2 21 8 23 3 23 9 23 3 baichuan 7b 42 8 31 5 38 2 52 0 46 2 39 3 gaokao gaokao https github com openlmlab gaokao bench 5 shot model average bloomz 7b 28 72 llama 7b 27 81 bloom 7b 26 96 tigerbot 7b base 25 94 falcon 7b 23 98 ziya llama 13b pretrain 23 17 chatglm 6b 21 41 open llama v2 pretrain 21 41 aquila 7b sup sup 24 39 baichuan 7b 36 24 agieval agieval https github com microsoft agieval 5 shot model average bloomz 7b 30 27 llama 7b 28 17 ziya llama 13b pretrain 27 64 falcon 7b 27 18 bloom 7b 26 55 aquila 7b sup sup 25 58 tigerbot 7b base 25 19 chatglm 6b 23 49 open llama v2 pretrain 23 49 baichuan 7b 34 44 sup sup aquila https model baai ac cn model detail 100098 baichuan 7b mmlu https arxiv org abs 2009 03300 57 llm https github com hendrycks test 5 shot model humanities social sciences stem other average chatglm 6b sup 0 sup 35 4 41 0 31 3 40 5 36 9 bloomz 7b sup 0 sup 31 3 42 1 34 4 39 0 36 1 mpt 7b sup 1 sup 35 6 llama 7b sup 2 sup 34 0 38 3 30 5 38 1 35 1 falcon 7b sup 1 sup 35 0 moss moon 003 sft 16b sup 0 sup 30 5 33 8 29 3 34 4 31 9 bloom 7b sup 0 sup 25 0 24 4 26 5 26 4 25 5 moss moon 003 base 16b sup 0 sup 24 2 22 8 22 4 24 4 23 6 baichuan 7b sup 0 sup 38 4 48 9 35 6 48 1 42 3 sup 0 sup br sup 1 https huggingface co spaces huggingfaceh4 open llm leaderboard sup br sup 2 https paperswithcode com sota multi task language understanding on mmlu sup br bash git clone https github com hendrycks test cd test wget https people eecs berkeley edu hendrycks data tar tar xf data tar mkdir results cp evaluate mmlu py python evaluate mmlu py m path to baichuan 7b mmlu 57 p align center img src media mmlu 57 tasks png width 90 p p align center img src media mmlu 21 subjects png width 90 p huggingface https huggingface co baichuan inc baichuan 7b python from transformers import automodelforcausallm autotokenizer tokenizer autotokenizer from pretrained baichuan inc baichuan 7b trust remote code true model automodelforcausallm from pretrained baichuan inc baichuan 7b device map auto trust remote code true inputs tokenizer n return tensors pt inputs inputs to cuda 0 pred model generate inputs max new tokens 64 repetition penalty 1 1 print tokenizer decode pred cpu 0 skip special tokens true p align center br img src media data process png width 90 br p sentencepiece byte pair encoding bpe 1 2000 2 llama galactica 3 utf 8 characters byte 4 llama falcon model baichuan 7b llama falcon mpt 7b chatglm moss moon 003 compress rate 0 737 1 312 1 049 1 206 0 631 0 659 vocab size 64 000 32 000 65 024 50 254 130 344 106 029 transformer llama rotary embedding https arxiv org abs 2104 09864 4096 5000 tokens p align center img src media long context ppl png width 90 p swiglu feedforward 8 3 11 008 layer normalization rmsnorm https arxiv org abs 1910 07467 pre normalization llama 1 flash attention nvidia apex rmsnorm 2 3 4 iaas paas 5 1 2 bucket size 3 a800 7b 182 tflops gpu 58 3 loss p align center img src media 7b loss png width 90 p bash pip install r requirements txt rank utf 8 data dir rank tokenizer tokenizer tokenizer model https huggingface co baichuan inc baichuan 7b blob main tokenizer model deepspeed deepspeed config hostfile ssh ip deepspeed https www deepspeed ai python scripts train sh apache 2 0 https github com baichuan inc baichuan 7b blob main license baichuan 7b baichuan 7b opensource baichuan inc com baichuan 7b https huggingface co baichuan inc baichuan 7b resolve main baichuan 7b 20 e6 a8 a1 e5 9e 8b e8 ae b8 e5 8f af e5 8d 8f e8 ae ae pdf third party resources 1 llama efficient tuning https github com hiyouga llama efficient tuning baichuan 7b qlora finetune rlhf webdemo sft hiyouga baichuan 7b sft https huggingface co hiyouga baichuan 7b sft 2 fireballoon baichuan vicuna chinese 7b https huggingface co fireballoon baichuan vicuna chinese 7b sharegpt sharegpt zh cot cot zh leetcode dummy finetune fastchat 3 fireballoon baichuan vicuna 7b https huggingface co fireballoon baichuan vicuna 7b sharegpt cot leetcode finetune fastchat 4 efficient tuning llms https github com jianzhnie efficient tuning llms baichuan 7b qlora finetune 4bit inference 5 fastllm https github com ztxz16 fastllm fastllm c baichuan 7b 6 thebloke baichuan 7b gptq https huggingface co thebloke baichuan 7b gptq baichuan 7b gptq 4bit star history star history chart https api star history com svg repos baichuan inc baichuan 7b type date https star history com baichuan inc baichuan 7b date | artificial-intelligence ceval large-language-models natural-language-processing mmlu chatgpt gpt-4 huggingface llama chinese | ai |
promptflow | promptflow res logo full 1 png promptflow promptflow is a tool that allows you to create executable flowcharts that link llms large language models prompts python functions and conditional logic together with promptflow you can create complex workflows in a visual way without having to write too much code or deal with complicated logic screenshot screenshots readme heroscreenshot png join our discord https discord gg epfy9nye https discord gg epfy9nye how it works promptflow is based on a visual flowchart editor that allows you to create nodes and connections between them each node can be a prompt a python function or an llm connections between nodes represent conditional logic and allow you to specify the flow of your program when you run your flowchart promptflow will execute each node in the order specified by the connections passing data between nodes as needed if a node returns a value that value will be passed to the next node in the flow initial setup install the required dependencies python 3 8 is required to run promptflow python m pip install r requirements txt launching promptflow can be run with python from the commandline bash python run py if you re having trouble ensure your pythonpath is set correctly bash export pythonpath pythonpath documentation official docs website promptflow org https www promptflow org en latest building from source to build the sphinx documentation run bash cd docs make html then open docs build html index html in your browser contributing if you are interested in contributing to promptflow you can do so through building a node https www promptflow org en latest development html starting point adding a node if you find any bugs do not hesitate to create an issue or open a pr or let us know in discord https discord gg epfy9nye | ai |
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cd0377-Introduction-to-Natural-Language-Processing | introduction to natural language processing coding exercises for the introduction to natural language processing course setup you need python 3 6 and the packages mentioned in requirements txt you can install them using bash pip install r requirements txt data data files for exercises are included under data but some of the nlp libraries require additional data for performing tasks like pos tagging lemmatization etc specifically nltk will throw an error if the required data is not installed you can use the following python statement to open the nltk downloader and select the desired package s to install python nltk download you can also download all available nltk data packages which includes a number of sample corpora as well but that may take a while 10 gb run to run any script file use bash python script py to open a notebook use bash jupyter notebook notebook ipynb a rel license href http creativecommons org licenses by nc nd 4 0 img alt creative commons license style border width 0 src https i creativecommons org l by nc nd 4 0 88x31 png a br this work is licensed under a a rel license href http creativecommons org licenses by nc nd 4 0 creative commons attribution noncommercial noderivatives 4 0 international license a please refer to udacity terms of service https www udacity com legal for further information | ai |
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Resources | what is this a collection helpful resources for software development on the web split into various categories is there a searchable front end to make finding stuff more easier yes however it s terribly designed so if you d like to contribute please open a pr against the ui branch of this repo https tevko github io resources how is this updated and maintained this repo uses github actions to periodically check dead urls and remove them from the repository anyone can contribute via pull request | front_end |
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sk.seky.soccerball | detection of objects in soccer lukas sekerak s school project in computer vision project idea try detect objects players soccer ball referees goal keeper in soccer match detect their position movement and show picked object in roi area more inforamtions in a documentation doc documentation pdf or presentation doc presentation pptx requirements opencv 2 4 log4cpp dataset videos operation agreement cnr figc http www issia cnr it wp portfolio operation agreement cnr figc 2 t d orazio m leo n mosca p spagnolo p l mazzeo a semi automatic system for ground truth generation of soccer video sequences in the proceeding of the 6th ieee international conference on advanced video and signal surveillance genoa italy september 2 4 2009 setup 1 clone this repository into workspace 2 download external requirements dataset 3 build project 4 run project control keys w turn on off roi area q e switch between detected roi s pause of processing frames f switch draw method license this software is released under the mit license license md credits ing wanda bene ov phd supervisor | ai |
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platform | vaadin badge https img shields io badge vaadin blue svg logo vaadin https vaadin com maven central https img shields io maven metadata v svg label maven central metadataurl https 3a 2f 2frepo1 maven org 2fmaven2 2fcom 2fvaadin 2fvaadin bom 2fmaven metadata xml https search maven org search q g com vaadin 20a vaadin bom support badge https img shields io badge stackoverflow vaadin blue svg logo stackoverflow https stackoverflow com questions tagged vaadin twitter follow https img shields io twitter follow vaadin svg style social https twitter com vaadin sbom https github com vaadin platform actions workflows sbom yml badge svg branch main event push https github com vaadin platform actions workflows sbom yml query branch 3amain looking for an overview of vaadin https github com vaadin about this repository this repository gathers all parts of the vaadin platform in to a single package ensuring all the parts work together learn more about our release model https vaadin com roadmap supported versions 24 java 17 support feature releases 23 latest java 11 support no feature updates 22 latest java 8 support commercial license 14 lts no feature updates 10 lts no feature updates for new users the latest major version is recommended building locally to build the vaadin platform artifacts locally see building the vaadin platform build md | vaadin java vaadin-platform flow javascript | front_end |
ml-road | machine learning road machine learning resources practice and research disclamier the resources in this repo are only for educational purpose do not use resources in this repo for any form of commercial purpose if the author of ebook found your intelligence proprietary violated because of contents in this repo please contact me and i will remove relevant stuff asap courses course name institution lecturer link category machine learning coursera andrew ng http www andrewng org coursera https www coursera org learn machine learning bilibili https www bilibili com video av9912938 index 2 html page 1 youtube https www youtube com playlist list plz9qnfmhz a4rycgrgoyma6zxf4bzggpw machine learning machine learning foundations national taiwan university hsuan tien lin https www csie ntu edu tw htlin bilibili https www bilibili com video av12463015 youtube https www youtube com playlist list plxvfgk9fnx2i7tb6oiingbmw50rrmftqf machine learning machine learning techniques national taiwan university hsuan tien lin bilibili https www bilibili com video av12469267 youtube https www youtube com playlist list plxvfgk9fnx2iqoypmqjqwsnufl2kpk1u2 machine learning machine learning stanford andrew ng netease http open 163 com special opencourse machinelearning html youtube https www youtube com playlist list pla89dcfa6adace599 machine learning deep learning deeplearning ai andrew ng netease https 163 lu nptn42 coursera https www coursera org specializations deep learning deep learning cs231n convolutional neural networks for visual recognition stanford fei fei li http vision stanford edu feifeili homepage http cs231n stanford edu youtube https www youtube com playlist list pl3fw7lu3i5jvhm8ljyj zlfqrf3eo8syv deep learning computer vision cs224n natural language processing with deep learning stanford christopher manning https nlp stanford edu manning homepage http web stanford edu class cs224n youtube https www youtube com playlist list pl3fw7lu3i5jsnh1rnuwq tcylnr7ekre6 deep learning nlp deep learning for natural language processing oxford university phil blunsom http www cs ox ac uk people phil blunsom homepage http www cs ox ac uk teaching courses 2016 2017 dl slides https github com oxford cs deepnlp 2017 lectures deep learning nlp applied deep learning machine learning and having it deep and structured national taiwan university yun nung chen http vivianchen idv tw hung yi lee http speech ee ntu edu tw tlkagk homepage https www csie ntu edu tw yvchen f106 adl index html youtube https www youtube com watch v hwuca8gsxdm feature youtu be machine learning deep learning cs 20 tensorflow for deep learning research stanford chip huyen homepage https web stanford edu class cs20si github https github com chiphuyen stanford tensorflow tutorials deep learning cs 294 deep reinforcement learning uc berkeley sergey levine homepage http rll berkeley edu deeprlcourse youtube https www youtube com playlist list plkfd6 40kjiznc9cdbvtjaf2oyt8 vae3 deep learning reinforcement learning neural networks for nlp cmu graham neubig http phontron com homepage http www phontron com class nn4nlp2018 assignments html nlp deep learning mathematics of deep learning nyu joan bruna github https github com joanbruna mathsdl spring18 deep learning introduction to nlp stanford dan jurafsky https web stanford edu jurafsky chris manning https nlp stanford edu manning youtube https www youtube com playlist list pl6397e4b26d00a269 nlp text mining and analytics uiuc chengxiang zhai https zh coursera org instructor chengxiangzhai coursera https zh coursera org learn text mining nlp machine learning crash course with tensorflow apis google google homepage https developers google com machine learning crash course machine learning tensorflow cs230 deep learning stanford andrew ng http www andrewng org kian katanforoosh https www linkedin com in kiankatan homepage http cs230 stanford edu deep learning intro to deep learning with pytorch facebook ai facebook ai udacity https in udacity com course deep learning pytorch ud188 deep learning pytorch introduction to deep learning uc berkeley alex smola https alex smola org mu li https github com mli youtube https www youtube com playlist list plzso 6 bsqhqhbcogaobuljoxayyqhpfw github https github com d2l ai berkeley stat 157 deep learning foundations of machine learning nyu mehryar mohri https cs nyu edu mohri homepage https cs nyu edu mohri ml18 machine learning ds1003 machine learning nyu julia kempe david rosenberg homepage https davidrosenberg github io ml2019 home slides https davidrosenberg github io ml2019 lectures youtube https www youtube com watch v u6m0m9c9 js feature youtu be assignments https davidrosenberg github io ml2019 assignments machine learning tensorflow in practice coursera laurence moroney coursera https www coursera org specializations tensorflow in practice tensorflow ds ga 1008 deep learning nyu yann lecun http yann lecun com alfredo canziani https www linkedin com in alfredocanziani homepage https atcold github io pytorch deep learning youtube https www youtube com playlist list pllhtzkzzvu9eaeyerdv26ikyolxosz6mq bilibili https www bilibili com video bv197411m7gg spm id from 333 788 videocard 1 deep learning pytorch deep learning for human language processing national taiwan university hung yi lee https www youtube com channel uc2ggjtuuwvxrhhhiadh1dlq homepage http speech ee ntu edu tw tlkagk courses dlhlp20 html youtube https www youtube com watch v ner51zyjacq list pljv el3uvtso07rpbyfsxg bn5lu0nhdg deep learning nlp books book name author link category amazon https www amazon cn e6 9c ba e5 99 a8 e5 ad a6 e4 b9 a0 e5 91 a8 e5 bf 97 e5 8d 8e dp b01arkev1g ref sr 1 1 ie utf8 qid 1509470386 sr 8 1 keywords e6 9c ba e5 99 a8 e5 ad a6 e4 b9 a0 jd https item jd com 11867803 html machine learning deep learning ian goodfellow yoshua bengio aaron courville pdf https github com yanshengjia machine learning road blob master resources deep 20learning pdf https github com yanshengjia machine learning road blob master resources e6 b7 b1 e5 ba a6 e5 ad a6 e4 b9 a0 pdf deep learning machine learning tom mitchell pdf https github com yanshengjia machine learning road blob master resources machine 20learning pdf machine learning pattern recogniton and machine learning christopher bishop pdf https github com yanshengjia machine learning road blob master resources pattern 20recognition 20and 20machine 20learning pdf https github com yanshengjia machine learning road blob master resources e6 9c ba e5 99 a8 e5 ad a6 e4 b9 a0 e4 b8 8e e6 a8 a1 e5 bc 8f e8 af 86 e5 88 ab pdf machine learning the elements of statistical learning trevor hastie robert tibshirani jerome friedman pdf https github com yanshengjia machine learning road blob master resources the 20elements 20of 20statistical 20learning 20 2nd 20edition pdf machine learning data mining practical machine learning tools and techniques ian h witten eibe frank pdf https github com yanshengjia machine learning road blob master resources data 20mining 20 20practical 20machine 20learning 20tools 20and 20techniques 20 2nd 20edition pdf data mining artificial intelligence a modern approach sturart j russell peter norvig pdf https github com yanshengjia machine learning road blob master resources artificial 20intelligence 20 20a 20modern 20approach 20 3rd 20edition pdf ai machine learning a probabilistic perspective kevin p murphy pdf https github com yanshengjia machine learning road blob master resources machine 20learning 20 20a 20probabilistic 20perspective pdf machine learning natural language processing with python stven bird ewan klein edward loper pdf https github com yanshengjia machine learning road blob master resources natural 20language 20processing 20with 20python pdf link http www nltk org book 1ed nlp getting started with tensorflow giancarlo zaccone pdf https github com yanshengjia machine learning road blob master resources getting 20started 20with 20tensorflow pdf tensorflow hands on machine learning with scikit learn and tensorflow aur lien g ron pdf https github com yanshengjia machine learning road blob master resources hands 20on 20machine 20learning 20with 20scikit 20learn 20and 20tensorflow pdf github https github com ageron handson ml machine learning deep learning with python fran ois chollet pdf https github com yanshengjia machine learning road blob master resources deep 20learning 20with 20python pdf github https github com fchollet deep learning with python notebooks deep learning probabilistic graphical models principles and techniques daphne koller nir friedman pdf https github com yanshengjia machine learning road blob master resources probabilistic 20graphical 20models 20 20principles 20and 20techniques pdf probabilistic graphical model speech and language processing dan jurafsky http web stanford edu people jurafsky james h martin http www cs colorado edu martin homepage https web stanford edu jurafsky slp3 pdf https github com yanshengjia machine learning road blob master resources speech 20and 20language 20processing 20 3rd 20edition pdf nlp neural network methods for natural language processing yoav goldberg pdf https github com yanshengjia machine learning road blob master resources neural 20network 20methods 20for 20natural 20language 20processing pdf nlp amazon https www amazon cn dp b007tsfmta ref sr 1 1 ie utf8 qid 1524798458 sr 8 1 keywords e7 bb 9f e8 ae a1 e5 ad a6 e4 b9 a0 e6 96 b9 e6 b3 95 machine learning natural language processing jacob eisenstein pdf https github com yanshengjia machine learning road blob master resources natural 20language 20processing pdf nlp dive into deep learning aston zhang mu li zachary c lipton alexander j smola https github com yanshengjia ml road blob master resources d2l zh pdf pdf https github com yanshengjia ml road blob master resources d2l en pdf website http zh d2l ai github https github com d2l ai d2l zh jupyter https zh d2l ai d2l zh zip deep learning feature engineering for machine learning alice zheng amanda casari pdf https github com yanshengjia machine learning road blob master resources feature 20engineering 20for 20machine 20learning pdf https github com apachecn feature engineering for ml zh machine learning feature engineering machine learning yearning andrew ng https github com yanshengjia ml road blob master resources e6 9c ba e5 99 a8 e5 ad a6 e4 b9 a0 e8 ae ad e7 bb 83 e7 a7 98 e7 b1 8d pdf https accepteddoge github io machine learning yearning cn docs home machine learning foundations of machine learning mehryar mohri pdf https github com yanshengjia ml road blob master resources foundations 20of 20machine 20learning 20 2nd 20edition pdf homepage https cs nyu edu mohri mlbook machine learning papers nlp tixier a j p notes on deep learning for nlp j arxiv preprint arxiv 1808 09772 2018 link https arxiv org pdf 1808 09772 pdf | machine-learning deep-learning nlp computer-vision speech-recognition tensorflow pytorch | ai 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Vuejs-Vuetify-UI-Design-POS-System-for-Coffee-Shop-Dashboard-Javascript | coffee project setup npm install compiles and hot reloads for development npm run serve compiles and minifies for production npm run build lints and fixes files npm run lint customize configuration see configuration reference https cli vuejs org config | os |
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FEDevtalk | div align center img src assets fedevtalk logo png width 360px div fe devtalk img src assets dsc5957 59 jpg width 600px fe devtalk naver https m blog naver com postview nhn blogid naver diary logno 221667928848 navtype tl front end 3 2015 fe devtalk 250 fe devtalk organizer jfyi issue https github com naver feplatform fedevtalk issues issue https github com naver feplatform fedevtalk issues fe devtalk youtube fedevtalk coming soon fedevtalk fedevtalk 21 https github com naver feplatform fedevtalk blob master 21 fedevtalk md front end for productivity fedevtalk 20 https github com naver feplatform fedevtalk blob master 20 fedevtalk md 2 fedevtalk 19 https github com naver feplatform fedevtalk blob master 19 fedevtalk md fedevtalk 18 https github com naver feplatform fedevtalk blob master 18 fedevtalk md typescript any fedevtalk 17 https github com naver feplatform fedevtalk blob master 17 fedevtalk md fedevtalk 16 https github com naver feplatform fedevtalk blob master 16 fedevtalk md fe internal fedevtalk 15 https github com naver feplatform fedevtalk blob master 15 fedevtalk md user experience engineering fedevtalk 14 https github com naver feplatform fedevtalk blob master 14 fedevtalk md interactive data visualization fedevtalk 13 https github com naver feplatform fedevtalk blob master 13 fedevtalk md fedevtalk 12 https github com naver feplatform fedevtalk blob master 12 fedevtalk md state management of front end fedevtalk 11 https github com naver feplatform fedevtalk blob master 11 fedevtalk md fedevtalk 10 https github com naver feplatform fedevtalk blob master 10 fedevtalk md organizers mixed https github com mixed billionairedy https github com billionairedy henjun https github com henjun daybrush https github com daybrush woodneck https github com woodneck fed gren https github com fed gren load0ne https github com load0ne hzoou https github com hzoou taenykim https github com taenykim naver fe platform team https github com naver fe news blob fe org org search fe md https naver career gitbook io kr service search reliability platform search fe https medium com naver fe platform naver d2 https d2 naver com home jaeyeophan http github com jaeyeophan sphilee https github com sphilee div align center a href https d2 naver com home img src assets naver d2 logo png width 200px a div related links fe devtalk navertv https tv naver com naverd2 naver tech talk news https d2 naver com search keyword teck 20talk p style line height 10 img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655479 5bfd7780 a36e 11eb 9ff8 1627c00b1643 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655482 5d2ea480 a36e 11eb 8e3e f8f69e101a80 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655483 5dc73b00 a36e 11eb 98e2 d6d10bc44da8 jpeg img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655486 5ef86800 a36e 11eb 9ee5 24f49ef87dd3 jpeg img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655489 5ef86800 a36e 11eb 9347 ba173f51c1ed png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655490 5f90fe80 a36e 11eb 9b50 00d9b15abe23 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655492 60299500 a36e 11eb 8fa8 febe889aeef7 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655498 60c22b80 a36e 11eb 96b5 fe625ec82a48 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655499 60c22b80 a36e 11eb 8f53 d0041b5726df png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655663 b5fe3d00 a36e 11eb 9d7c 1d04d2508450 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655659 b4347980 a36e 11eb 843d 69dcfc4626d8 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22300 115655755 e645db80 a36e 11eb 929c 20aee598d922 png img height 80px style display inline block margin 20px src https user images githubusercontent com 14918660 119443515 b3737680 bd64 11eb 852d d03ae448d9b2 png img height 80px style display inline block margin 20px src https user images githubusercontent com 14918660 119443507 b1111c80 bd64 11eb 953c c96c96bdd038 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22935610 131288262 e765957e cb18 4dab 8b14 408acc74d5c9 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22935610 131286764 8ddc15d4 e199 4a88 8ac0 75231c4d4ef7 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22935610 131286786 f4201f1d 2de0 4ef4 bbef 6350266ec4f8 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22935610 131286807 d1b97a88 a818 4911 b7ed 546b918c5c38 png img height 80px style display inline block margin 20px src https user images githubusercontent com 22935610 131287266 c1d9fdda 003f 462c b156 c19feb7a91b0 png p | front-end techtalk conference meetup | front_end |
Car-Window-Embedded-Project | cse411 real time and embedded systems design project documentation spring 2023 power window control system using tiva c running freertos instructor prof dr sherif hammad ta eng mohamed tarek div class page project architecture project architecture hardware used hardware used freertos data structures used freertos data structures used layers layers system connection with the microcontroller system connection with the microcontroller motor unit motor unit limit switches limit switches driver side panel driver side panel passenger side panel passenger side panel automatic jamming automatic jamming project schematic project schematic application description application description state diagram state diagram created tasks created tasks handling corner cases handling corner cases div class page project architecture hardware used 1 microcontroller tm4c123 2 breadboard 3 2 dc motors 4 motor driver module 5 4 limit switches 6 on off switch 7 8 push buttons 8 jumper cables 9 resistances 10 9v power supply freertos data structures used 4 queues 4 semaphores 4 mutex locks div class page layers layer name contents mcal peripherals a c d and e hal dc motor motor driver module limit switches on off switches and push buttons application manual open close one touch auto open close window lock and jam protection layers layers png div class page system connection with the microcontroller motor unit hardware part function connection dc motor 1 move driver window up port b pin 0 dc motor 1 move driver window down port b pin 1 dc motor 2 move passenger window up port b pin 2 dc motor 2 move passenger window down port b pin 3 dc motor 1 pwm control port b pin 6 dc motor 2 pwm control port b pin 7 limit switches hardware part function connection limit switch 1 stop driver window when it reaches upper limit port d pin 6 limit switch 2 stop driver window when it reaches lower limit port d pin 7 limit switch 3 stop passenger window when it reaches upper limit port d pin 2 limit switch 4 stop passenger window when it reaches lower limit port d pin 3 driver side panel hardware part function connection pushbutton 1 move driver window up port a pin 2 pushbutton 2 move driver window down port a pin 3 pushbutton 3 move passenger window up port e pin 1 pushbutton 4 move passenger window down port e pin 2 on off switch window lock for all windows except driver s port a pin 5 passenger side panel hardware part function connection pushbutton 1 move passenger window up port e pin 4 pushbutton 2 move passenger window down port e pin 5 automatic jamming hardware part function connection pushbutton 1 jam control on driver s window port c pin 4 pushbutton 2 jam control on passenger s window port c pin 5 project schematic schematic schematic png div class page application description state diagram statedaigram statediagram png div class page created tasks 1 driver task this task is a low priority task this task is used to control the driver side window this task waits for an external interrupt i e the window up down button initially the task attempts to take semaphore which forces it to enter blockage state upon interrupt the semaphore is given from the isr along with a message from the queue telling the task the action to be taken when handling motor 1 state a mutex lock is first acquired then the state is changed then the lock is released 2 passenger task this task is the lowest priority task this task is used to control the passenger side window this task is shared between the driver and passenger panels this task waits for an external interrupt i e the window up down button initially the task attempts to take semaphore which forces it to enter blockage state upon interrupt the semaphore is given from the isr along with a message from the queue telling the task the action to be taken when handling motor 2 state a mutex lock is first acquired then the state is changed then the lock is released 3 limit task this task is the highest priority task this task is used to control the driver and passenger side windows limits this task is shared between the driver and passenger windows this task waits for an external interrupt i e the window fully up down switch initially the task attempts to take semaphore which forces it to enter blockage state upon interrupt the semaphore is given from the isr along with a message from the queue telling the task the action to be taken when handling motor 1 2 states a mutex lock is first acquired then the state is changed then the lock is released 4 jamming task this task is a high priority task this task is used to protect from jamming by automatically stopping the power window and moves it downward about 0 5 seconds if foreign matter gets caught in window during one touch auto close operation this task is shared between the driver and passenger windows this task waits for an external interrupt i e the window fully up down switch initially the task attempts to take semaphore which forces it to enter blockage state upon interrupt the semaphore is given from the isr along with a message from the queue telling the task the action to be taken when handling motor 1 2 states a mutex lock is first acquired then the state is changed then the lock is released handling corner cases 1 if driver pressed up and down on driver window simultaneously the button which was pushed first will be executed then if it was released and the other is still pressed it will change direction 2 if driver pressed up on passenger window and passenger pressed down the first one to push will be executed 3 if the window is going up and down limit switch fired an interrupt or vice versa nothing will happen as the only option to stop the window while going up is either to release the up button or an interrupt fired from the up limit switch 4 on off switch closes the control to the passenger window from both passenger and driver panel | os |
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rick-and-morty-app | android rick and morty app api https img shields io badge api 21 2b brightgreen svg style flat https android arsenal com api level 21 mvvm architecture dependency injection dagger 2 retrofit room kotlin coroutines glide livedata view model and android lifecycles navigation data binding kotlin extensions binding adapters testing mockito truth junit rick and morty api https rickandmortyapi com mad score https madscorecard withgoogle com scorecards 721914447 screenshots img src https raw githubusercontent com hakanyilmazz rick and morty app main ss png height 500 br | kotlin android mvvm dependency-injection retrofit coroutines-android glide rick-and-morty-api room navigation junit4 mockito testing | front_end |
WEC | woof engineering corporation the official space engineers blueprint lore database for my fictional company the woof engineering corporation read my lore wiki here https github com yoshiwoof22 wec wiki visit my mod repository here https github com yoshiwoof22 wec mods | server |
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Go-social | go social codacy badge https api codacy com project badge grade fbf9f8e1bb7b4d2cbb1ca569014ed45b https app codacy com app shehand go social utm source github com utm medium referral utm content shehand go social utm campaign badge grade dashboard build status https travis ci org shehand go social svg branch master https travis ci org shehand go social license https img shields io badge license apache 202 0 blue svg https opensource org licenses apache 2 0 gitter https img shields io gitter room nwjs nw js svg https gitter im scorelab go social today s community use mobile phones to make their life easier and community based mobile applications are famous among them there are several kinds of community based applications in use and most of them relate to a specific domain but core components have similar features addressing this issue and saving development time by introducing a common app template with customizable components for community based mobile applications is the main purpose of this project setup the project note if you have not yet installed react native use this link https facebook github io react native docs getting started to install and configure react native make sure to use react native cli rather than using expo cli configure go social clone the project git clone https github com scorelab go social git change the directory to the project folder cd go social install the node modules with the following command npm install configure the config example js file important open the project in any text editor you use open the config example js file in the config folder and follow the following steps use this link https console firebase google com to create a firebase project for the go social application it is free for everyone please use the web app instead of the android or ios app update the sign in method of firebase project https firebase google com docs auth android password auth before you begin that you want to use as enabled create a firebase database and update the ruleset of the real time database to read write allow use this link https cloud google com maps platform to generate google map api key for the map view in g social this is not necessary you can use the given api key but it is not guaranteed that the given key will always work it is better to have your own key enable all maps routes places in your key now you need a facebook app id if you want to enable facebook login for go social use this link https developers facebook com for that and make sure to enable both email password and facebook sign in method in firebase so place your firebase details and google map api key in config example js file and rename it to config js to make google map and facebook login to work you have to follow these extra steps 1 find the file name androidmanifest xml which is located in android app src main path place your google map api key in there ex meta data android name com google android geo api key android value aizasydmwjddiptcalyztj7p9mfflkmvpmkati8 1 find the file name as strings xml located in android app src main res values place your facebook app id in there ex string name facebook app id 2349388348405699 string so now you are ready to run go social run go social run the app npx react native run android then enable the remote js debugging | front_end |
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selenium-cucumber-java-maven-example | selenium cucumber java maven selenium cucumber automation testing using java selenium cucumber is a behavior driven development bdd approach to write automation test script to test web it enables you to write and execute automated acceptance unit tests it is cross platform open source and free automate your test cases with minimal coding more details http seleniumcucumber info documentation installation https github com selenium cucumber selenium cucumber java blob master doc installation md predefined steps https github com selenium cucumber selenium cucumber java blob master doc canned steps md download a framework maven https github com selenium cucumber selenium cucumber java maven example framework architecture project name src main java appundertest calc apk browserconfigs saucelab windows chrome properties browserstack windows chrome properties platformconfigs saucelab properties browserstack properties src main resources src test java env driverutil java hooks java runcuketest java userstepdefinitions loginsteps java signupsteps java src test resources features login feature signup feature src test resources features all the cucumber features files files feature ext goes here src test java userstepdefinition you can define step defintion under this package for your feature steps src test java env this package contains cucumber runner runcuketest java where you can configure your glue code location step defintions define test result output format html json xml hooks where you can configure all before and after test settings hooks java driverutil java contains code for intializing driver instances for respective driver src main java platformconfigs if you want to run your test on saucelab and browserstack platforms you need to add its configuration such as username access key here src main java browserconfig when you run your test on remote browser platform you have to provide capabilities and platform information here src main java appundertest if you are testing mobile based application you can keep your app build here writing a test the cucumber features goes in the features library and should have the feature extension you can start out by looking at features my first feature you can extend this feature or make your own features using some of the predefined steps doc canned steps md that comes with selenium cucumber predefined steps by using predefined steps you can automate your test cases more quickly more efficiently and without much coding the predefined steps are located here doc canned steps md running test go to your project directory from terminal and hit following commands mvn test defualt will run on local firefox browser mvn test dbrowser chrome to use any other browser mvn test dcucumber options classpath features my first feature to run specific feature mvn test dcucumber options plugin html target result html to generate a html report mvn test dcucumber options plugin json target result json to generate a json report running test on remote browser platform to run test on saucelab browserstack or any other remote browser you need to create browser config file under src main java browserconfig to run on saucelab create config file with name preceding with saucelab saucelab windows chrome properties saucelab mac firefox properties mvn test dconfig saucelab mac firefox to run on browserstack create config file with name preceding with browserstack browserstack windows chrome properties browserstack mac firefox properties mvn test dconfig browserstack mac firefox maven gradle dependency see https jitpack io selenium cucumber selenium cucumber java license the mit license 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 | front_end |
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NLP-Nanodegree | udacity natural language processing nanodegree nlp nlpnd certificate png projects of natural language processing 1 part of speech tagger with hidden markove model https github com udacity hmm tagger 2 neural machine translation with recurrent neural networks https github com udacity aind2 nlp capstone 3 end to end automatic speech recognition with convolutional neural networks and recurrent neural networks https github com udacity aind vui capstone | ai |
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LLMGNN | llmgnn code for our paper label free node classification on graphs with large language models llms https arxiv org abs 2310 04668 abstract in recent years there have been remarkable advancements in node classification achieved by graph neural networks gnns however they necessitate abundant high quality labels to ensure promising performance in contrast large language models llms exhibit impressive zero shot proficiency on text attributed graphs yet they face challenges in efficiently processing structural data and suffer from high inference costs in light of these observations this work introduces a label free node classification on graphs with llms pipeline llm gnn it amalgamates the strengths of both gnns and llms while mitigating their limitations specifically llms are leveraged to annotate a small portion of nodes and then gnns are trained on llms annotations to make predictions for the remaining large portion of nodes the implementation of llm gnn faces a unique challenge how can we actively select nodes for llms to annotate and consequently enhance the gnn training how can we leverage llms to obtain annotations of high quality representativeness and diversity thereby enhancing gnn performance with less cost to tackle this challenge we develop an annotation quality heuristic and leverage the confidence scores derived from llms to advanced node selection comprehensive experimental results validate the effectiveness of llm gnn in particular llm gnn can achieve an accuracy of 74 9 on a vast scale dataset products with a cost less than 1 dollar pipeline demo imgs pipeline png notes the following documentation is still under construction i will upload some pickled intermediate results so you may get some results without querying the openai api environment setups conda env create f environment yml name new environment name first pip install r requirements txt then i recommend installing gpu related libraries manually you should choose the version compatible with your glibc and cuda pip3 install torch torchvision torchaudio and also torch geometric according to install https pytorch geometric readthedocs io en latest install installation html https github com facebookresearch faiss blob main install md and finally install faiss about the data dataset we have provided the processed datasets via the following google drive link https drive google com drive folders 1 lana6esq6m5td2lvsep3il9qf6bc1kv usp sharing to unzip the files you need to 1 unzip the small data zip into xxx llmgnn data new 2 put wikics in the same directory 3 if you want to use ogbn products unzip big data zip info xxx llmgnn data new 4 set the corresponding path in config yaml how to use this repo and run the code there are two main parts of our code 1 annotators 2 gnn training the pipeline works as follows 1 get dataset in data py get the pt data file use llm py to generate annotations the indexes selected by active learning and corresponding annotations will be returned we use the cache to store all the output annotations 1 is a sentinel for null annotation 2 main py train the gnn models for large scale training we do not use the batch version but pre compute all intermediate results to do the annotation you need to set up your openai key in the config yaml for quick try we have uploaded some cached results to the google drive https drive google com drive folders 1 lana6esq6m5td2lvsep3il9qf6bc1kv we will then go through one example for the cora dataset to showcase how to use llmgnn in practice 1 first in helper data py set the global variable llm path to the path of llm py which should be something like llm path xxx llmgnn src llm py 2 optional set the global variable partitions to the path of the partitions used by gpart algorithm which should be something partitions xxx llmgnn data partitions 3 set the value of variable global result path to the path of intermediate results like clustering centers and density which should be like global result path xxx llmgnn data aax 4 run the precompute py to pre compute clustering centers and density efficiently using faiss 5 download cora openai pt this is the cache file for responses from openai and active cora cache consistency pt this is the file to save annotation result from google drive put the former one under data path in config file and the latter one under data path in config file active 6 run the following code python3 src main py dataset cora model name gcn data format sbert main seed num 3 split active output intermediate 0 no val 1 strategy pagerank2 debug 1 total budget 140 filter strategy consistency loss type ce second filter conf entropy epochs 30 debug gt label 0 early stop start 150 filter all wrong labels 0 oracle 1 ratio 0 2 alpha 0 33 beta 0 33 an example python3 src main py dataset products model name adjgcn data format sbert main seed num 1 split active output intermediate 0 no val 1 strategy pagerank2 debug 1 total budget 940 filter strategy consistency loss type ce second filter conf entropy epochs 50 debug gt label 0 early stop start 150 filter all wrong labels 0 oracle 1 ratio 0 2 alpha 0 33 beta 0 33 notes i ll optimize the code structure when i have more time | ai |
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Energy-Intensity-Forecastar-App | energy intensity forecastar app end to end data science project demonstrating various stages of ml product life cycle namely data collection data preprocessing amp feature engineering modell training model explainability and model deployment to cloud | cloud |
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natural-language-processing | natural language processing natural language processing | ai |
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practical-javascript | 28 javascript skills a qualified intermediate front end engineer needs to master english readme zh cn md blog https medium com javascript in plain english 28 javascript skills a qualified intermediate front end engineer needs to master ffed93de3f38 x array api x use reduce to implement the array api x implement class of es6 by es5 x curry partial function x throttling debounce function x fibonacci sequence x publish and subscribe x bind and call x co generator x lazy loading of images x new x object assign x instanceof x private variables x shuffling algorithm x singleton mode x promisify x handles async await gracefully x json stringify x implement koa compose x promise api promise all promise race promise finally | front_end |
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laravel-docker-app | laravel docker app laravel php7 3 nginx mysql 5 7 redis docker container a complete laravel php development environment that is very similar to production environment docker compose based laravel development environment with individual app laravel app nginx database mysql queue scheduler redis services installation install laravel clone the repo at your development machine go to your laravel docker directory then run this sh install a bash script will download latest laravel zip and then unzip the laravel project into the app directory update laravel version to update laravel version before installaiton edit the install file in root directory docker container management build containers run this to build your docker containers for each services app database queue scheduler redis docker compose build run the containers docker compose up to run the services at background docker compose up d ssh into your app console to install laravel generate app key and run migrations you need to ssh to your app container service to ssh to your app container run this docker compose exec app sh this will take you to var www app path inside your app service container now you can run your composer install and other laravel or php specific commands there to ssh into other containers replace the app with other container name as scheduler queue e g docker compose exec queue sh stop running containers docker compose stop environment variables php if you want to change enable disable any php settings you can change them in docker config php php ini development ini file and then build and up the container again mysql mysql username password can be changed from docker compose yml file fin the environment section under mysql change the value and build the mysql image again with docker compose build mysql environment mysql database app mysql root password root mysql user admin mysql password secret after you change the value and build you need to restart the mysql service docker compose up mysql to make it affective nginx if you want to change nginx web host configurations you can find the file at docker images web sites default dev conf storage and logs this laravel docker app leverage the power of docker volume and store some the docker container data at your host machine here is the details of folder structure and what data it contain docker data mysql contain mysql database files docker data redis contain redis database file docker data web contain nginx webserver logs connecting mysql with local desktop client host 0 0 0 0 username root password root port 33066 why of laravel docker app at the moment there are many other laravel docker github repo or packages available so why this new package again here i ll list few of my points 1 this docker app images is based on alpine based php image which makes it very light weight 2 this is built on service based architecture usually for laravel application there should be queue and cron running on behind in this system you can run queue scheduler container separately and queue will listen to a separate redis database 3 it s the most compatible with production environment very easily this can be converted to a production grade scalable service browse your site locally you can find your site running at http localhost todo future development plan docker swarm for testing and production environment kubernetes scripts for testing and production environment contribution if you find any security hole or improvement opportunity feel free to fork and pr your updates i ll be happy to merge any reasonable pr contact email arifulhb gmail com disclaimer this docker environment is for development only and not optimized for production | docker docker-compose laravel php laravel-framework containerization development-environment | front_end |
shapeFromShading | hkust comp 5421 spring 2014 computer vision project 4 shape from shading the main approach and algorithm are summerized and descibed in note pdf inside note folder the sample output results are in wiki page main algorithm is from tai pang wu and chi keung tang dense photometric stereo using a mirror sphere and graph cut ieee computer society conference on computer vision and pattern recognition 2005 pp 140 147 graph cut fold fulkerson maxflow algorithm toolbox downloaded from http vision ucla edu brian gcmex html shape from shapelet reconstruction is from peter kovesi shapelets correlated with surface normals produce surfaces ieee international conference on computer vision 2005 pp 994 1001 toolbox downloaded from http www csse uwa edu au pk research matlabfns get started inside preprocessdata m change the directory of input data set the image size appropriately and copy the light source direction file into code folder compile the mex file load lightvec txt code surfacenormal initialnormal varname1 varname2 varname3 code this will take around 1 2 minutes code refinenormal graphcutsurfacenormal surfacenormal code this will take quite a long time use code lightimg diffuselight surfacenormal code or code lightimg diffuselight refinenormal code to check n l image result use code recsurf shapefromshapelets surfacenormal code or code recsurf shapefromshapelets refinenormal code to check 3d reconstruction result | ai |
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