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Papers-Literature-ML-DL-RL-AI | github forks https img shields io github forks tirthajyoti papers literature ml dl rl ai svg https github com tirthajyoti papers literature ml dl rl ai network github stars https img shields io github stars tirthajyoti papers literature ml dl rl ai svg https github com tirthajyoti papers literature ml dl rl ai stargazers prs welcome https img shields io badge prs welcome brightgreen svg https github com tirthajyoti papers literature ml dl rl ai pulls impactful and widely cited papers and literature on ml dl rl ai widely cited and impactful papers literature and free tutorials books related to artificial intelligence ai statistical modeling machine learning ml deep learning dl reinforcement learning rl and their various applications collector maintainer papers collected and maintained by dr tirthajyoti sarkar https tirthajyoti github io br please feel free to add me on linkedin https www linkedin com in tirthajyoti sarkar 2127aa7 ml def https raw githubusercontent com tirthajyoti papers literature ml dl ai master images what is machine learning definition jpg topics and directory listings ai hardware https github com tirthajyoti papers literature ml dl rl ai tree master ai 20hardware application of artificial intelligence https github com tirthajyoti papers literature ml dl rl ai tree master application 20of 20ai artificial intelligence ai and game theory https github com tirthajyoti papers literature ml dl ai tree master ai game theory deep learning https github com tirthajyoti papers literature ml dl ai tree master deep learning fairness bias and ethics in ai https github com tirthajyoti papers literature ml dl rl ai tree master fairness 2c 20bias 2c 20ethics 20in 20ai 20and 20ml general machine learning topics https github com tirthajyoti papers literature ml dl ai tree master general machine learning reinforcement learning https github com tirthajyoti papers literature ml dl ai tree master reinforcement 20learning statistics and statistical learning https github com tirthajyoti papers literature ml dl ai tree master statistics 20and 20statistical 20learning learning theory https github com tirthajyoti papers literature ml dl ai tree master learning 20theory new ml ops https github com tirthajyoti papers literature ml dl rl ai tree master ml ops new ml for manufacturing and iot https github com tirthajyoti papers literature ml dl rl ai tree master ml for manufacturing iot | deep-learning machine-learning machine-learning-algorithms artificial-intelligence neural-network paper learning-theory reinforcement-learning statistical-learning data-mining statistics pattern-recognition data-science silicon hardware game-theory literature | ai |
Car_Damage_Instance_Segmentation_Model | car damage instance segmentation model this colab notebook is for car damage instance segmentation based on mask r cnn algorithm i trained this particular model for 500 iterations and took car damage dataset from kaggle brief about detectron2 detectron2 is a pytorch based system built by facebook ai research to support rapid implementation and evaluation of novel computer vision research list of algorithms it supports 1 mask r cnn 2 fast r cnn 3 faster r cnn 4 retinanet 5 rpn 6 tensormask 7 pointrend 8 densepose list of computer vision tasks it supports 1 object detection 2 instance segmentation 3 semantic segmentation 4 pantropic segmentation 5 keypoint detection | detectron2 instance-segmentation mask-rcnn python3 pytorch colab-notebook transfer-learning | ai |
Engineering-Challenge-iOS-1 | ios developer challenge version 1 6 challenge status open welcome we ve been expecting you holmusk is a big data based high tech company specializing in healthcare in singapore if you re someone who bleeds code and aches to make a difference in the world then you are at the right place you will be part of a world class team working on the most exciting ground breaking technology in an inspiring and collaborative environment basics this is the holmusk ios developer challenge the rules of the challenge are very simple and are as follows you are required to code in swift you will be able to submit the challenge anytime you are ready provided the challenge is still open your code should be commented you should implement autolayout and size classes to support all iphone sizes only one orientation is enough we re not too fiesty on that because we at holmusk take code organization seriously please do ensure your source files are organized when you submit you should ensure proper use of version control progress should be visible through subsequent commits you are required to fork this repo and submit a pull request if you wish to not make public your submission please complete the code in your local repository and email a patch file to careers holmusk com please note that you will also be judged on the elegance of your code level of abstraction and technical skills presented in the implementation for more details refer to the judging criteria section below the challenge what you ll need to build you ll need to build an app that is able to retrieve nutrition information for different food types persist it locally and display it to the user in a very interesting manner bits and pieces to take note of use http test holmusk com food search q food search query where the food search query parameter should be replaced by a food name to search for food items present the data in your app how you present will be a direct reflection of your creativity and motivation so we encourage you to spend as much time on this part as possible you are not limited to tableviews or collectionviews feel free to create your own representations one of our favorites is the parallax based scrollview you will need to implement autocomplete with a search view with a maximum of 10 results so that the interface does not look cluttered so that users are able to easily enter food items they have had you will need to store all of your results into coredata realm http realm io fmdb sqlite in the most efficient way possible please do log the time taken for data storage and retrieval in the console you will also need to allow users to enter new food items which should then be synced with your local datastore coredata realm with that said we wish you good luck and look forward to receiving your submission judging criteria what you have produced will determine your final outcome 60 of your product from our point of view depends on your user experience and user interfaces for this challenge thus we would encourage you to make the best use of the coreanimation quartzcore and coregraphics libraries because we love people who have a passion for expanding their horizons your background with these libraries do not matter so much provided you are able to demonstrate your learning ability bonus points at holmusk we do our best to go the extra mile and as such you would receive brownie points if your app provides simple analytics such as keeping track of a user s diet for the day and relevant graphs animations etc you use realm instead of core data you create at least one custom control that uses ibinspectable and ibdesignable you use kimono s api builder https www kimonolabs com to extract food related data from myfitnesspal https www myfitnesspal com fatsecrets http www fatsecret com sg or other food websites such as calorieking http www calorieking com | os |
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topic_modelling_financial_news | topic modelling on financial news articles summary this repo contains code for pre processing and vectorizing raw text collected from 85 000 news articles downloaded from a variety of online broadsheet newspapers and newswires covering finance business and the economy a detailed blog post can be found at http mattmurray net topic modelling financial news with natural language processing article counts by year articles by year png article counts by year the data was pre processed with the removal of stop words punctuation and numbers and the words were stemmed using the snowball stemmer the data was vectorized into a tf idf matrix then latent semantic analysis techniques were applied to reduce the dimensions into a smaller number of latent features finally the latent features were clustered into topic clusters and the trends in the topics visualized over time outcome p align center img src country region chart png width 700 p p align center img src cb regulation chart png width 700 p p align center img src economy chart png width 700 p | nlp nlp-machine-learning nlp-stemming topic-modeling python sklearn spacy nltk matplotlib k-means dbscan latent-dirichlet-allocation latent-semantic-analysis tf-idf stemming | ai |
MachineLearningLab | machinelearninglab 1 bank marketing data set https github com llhthinker machinelearninglab tree master uci 20bank 20marketing 20data 20set blog http www cnblogs com llhthinker p 7101572 html 2 frequent itemset mining https github com llhthinker machinelearninglab tree master frequent 20itemset 20mining generate synthetic datasets using the ibm synthetic data generator for itemsets and sequences available at https github com zakimjz ibmgenerator blog https www cnblogs com llhthinker p 6719779 html apriori https github com llhthinker machinelearninglab blob master frequent 20itemset 20mining apriori py fp growth https github com llhthinker machinelearninglab blob master frequent 20itemset 20mining fpgrowth py 3 pm2 5 prediction https github com llhthinker machinelearninglab tree master pm2 5 prediction kaggle https www kaggle com c ml2016 pm2 5 prediction pdf http speech ee ntu edu tw tlkagk courses ml 2016 lecture hw1 pdf gradient descent https github com llhthinker machinelearninglab blob master pm2 5 prediction linear regresssion py 4 chinese word segmentation https github com llhthinker machinelearninglab tree master chinese word segmentation blog http www cnblogs com llhthinker p 6323604 html averaged perceptron 5 k means k means kmeans py report k means report md blog https www cnblogs com llhthinker p 5494321 html 6 gmm gmm gmm py report gmm report md 7 linear classifiers https github com llhthinker machinelearninglab tree master linearclassifiers report linearclassifiers report md lmse linearclassifiers lmse py perceptron linearclassifiers perceptron py nice blogs https fire15 com featureengneering f https www cnblogs com massquantity p 10486904 html https toutiao io posts 6jwj9n preview lightgbm https blog csdn net weixin 39807102 article details 81912566 lightgbm https blog csdn net anshuai aw1 article details 83275299 | machine-learning frequent-itemset-mining classification regression-models gradient-descent chinese-word-segmentation | ai |
discussion_forum_app | onthego this project is a discussion forum app on the go the uniqueness of the app is that this provides a separate discussion forum for each department in the college this app is developed as a software project for my sepm subject this uses the flutter framework for development with firebase as the backend | server |
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Lab-Project-FreeRTOS-LoRaWAN | reference implementation of lorawan connectivity on freertos the project is a freertos adaptation of semtech s loramac node implementation getting statted class a demo class a offers low powered communincation between the end device and lora network server its the most common use case and should be implemented by all end devices supporting lorawan thethings network ttn diagrams and summaries https www thethingsnetwork org docs lorawan classes html shows the communication between end device and network server in class a all communications are initiated by an end device sending uplink message at any time to the server end device opens two receiver slot windows after a successful uplink server can choose to send any downlink packets during this window both end device and server can alss attache mac layer commands used for control activities along with their uplink and downlink messages both uplink and downlink messages can be either confirmed an ack is required from the other party or unconfirmed no ack required demo shows a working example of a common class a application it spawns two tasks loramac task this is a higher priority background task which initializes loramac stack and waits for any events from radio layer or mac layer all events generated from radio layer is through interrupts events are passed using freertos task notifications which unblocks the loramac task since the task serves interrupt events it runs at a higher priority than other task note since the radio interrupt handler uses freertos api for task notifications the priority for radio interrupts should be set less than or equal to configmax syscall interrupt priority as mentioned in freertos doc here https www freertos org a00110 html kernel priority this means an interrupt can be delayed due to freertos kernel code execution lorawan class a task task behaves like a common class a application it sends an uplink message periodically at an interval configured to follow the fair access policy defined for a lorawan network and region there are also other parameters like data rate sf bandwidth payload length etc which needs to be tuned based on how far is the device from gateway how many devices are connecting to gateway application requirements etc if mac layer indicates that an uplink needs to be send to flush out any pending responses to mac commands from server then it sends an empty uplink immediately if a frame loss is detected by mac layer then it triggers a re join procedure to reset the frame counters all events from mac layer to application are sent using light weight task notifications lorawan allows multiple requests for the server to be piggy backed to an uplink message the responses to these requests are received by application in order using a queue a downlink queue exists in case application wants to read multiple payloads received at once before sending an uplink payload low power mode an important feature of class a based communication is it consumes less power which leads to prolonged batery life low power mode for the demo can be enabled using freertos tickless idle feature as describe here https www freertos org low power tickless rtos html tickless idle mode can be enabled by providing a board specific implementation for portsuppress ticks and sleep macro and setting configuse tickless idle to the appropirate value in freertosconfig h enabling tickless mode allows mcu to sleep when the tasks are idle but be waken up by an interrupt from the radio supported platforms vendor mcu lora radios ide nordic nrf52840 dk sx1262mb2cas segger embedded studio ses stmicroelectronics stm32l4 discovery kit iot node sx1276mb1las system workbench for stm32 downloading the code the demo leverages open source freertos kernel and libraries https github com aws amazon freertos and sligthly patched version of open source loramac node v4 4 4 https github com lora net loramac node tree v4 4 4 1 download the repository along with the dependent repositories git clone recurse submodules git github com freertos lab project freertos lorawan git 2 apply the patch on top of loramac node v4 4 4 cd lab project freertos lorawan git apply whitespace fix freertos loramac node v4 4 4 patch setting up ide and project nordic nrf52840 1 download and install segger embedded studio ide for your operating system by visting the page here https www segger com downloads embedded studio 2 open the ide choose file from menu and select open solution choose lab project freertos lorawan demos classa nordic nrf52 classa demo emproject and click open stmicroelectronics stm32l4 discovery kit iot node 1 download and install system workbench ide for your operating system by visting the page here https www st com en development tools sw4stm32 html 2 open the ide choose file from menu and then select open projects from file system 3 choose directory path lab project freertos lorawan demos classa stm32l475 discovery then choose the selected project and click on finish create a ttn account ttn appication and register your device 1 navigate to ttn home page https www thethingsnetwork org 2 create a free account by clicking on signup at the top right and following its steps 3 login to your ttn account you can do this at ttn homepage at top right 4 click on your account icon at the top right and in the submenu select console then select applications 6 from here you can follow ttn s guide for adding a ttn device and creating a ttn application https www thethingsnetwork org docs devices registration html configure device credentials class a demo uses over the air activation for which three credentials device eui join eui and application key are required for demonstration purposes these credentials are configured statically in the code however for production use case this can be replaced by a secure element to configure these credentials statically in code goto the file demos classa common credentials c and update the following variables variable description value format deveui deveui already registered with ttn or one assigned by ttn array of 8 byte hex values in big endian ordering joineui application eui for ttn application array of 8 byte hex values in big endian ordering appkey application key for ttn application array of 16 byte hex values in big endian ordering build and run the code nordic nrf52840 dk 1 plug in the sx1262mb2cas shield on the top of nordic board 2 connect the appropriate antenna for the frequency plan to the shield 3 connect your nrf52840 dk board to a pc using usb cable 4 in ses build menu select build classa demo 5 in ses debug menu select go this will flash and run the demo in debug mode there is a breakpoint at the beginning of the program when you re ready you can continue exectution the uart output will be shown in the ide s debug terminal stmicroelectronics stm32l4 discovery kit iot node 1 plug in the sx1276mb1las shield on the top of stm32l4 discovery board 2 connect the appropriate antenna for the frequency plan to the shield 3 connect your stm32l4 board to a pc using usb cable 4 from system workbench ide choose project and then build all or press ctrl b 5 once build is completed successfully click on debug button this will flash and run the demo in debug mode 6 it halts at a breakpoint in main click on resume button 7 you can view output on the uart console using any serial terminal application view your device traffic in ttn from ttn applications page select your application in the application submenu click on data here you see all valid traffic interfacing your ttn application | os |
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komponent | img alt komponent src https raw github com ouvrages komponent master logo svg sanitize true width 200 height 40 tests https github com komposable komponent workflows tests badge svg https github com komposable komponent actions github release https img shields io github release komposable komponent svg maintainability https api codeclimate com v1 badges 36d6dcf883df8f63893a maintainability https codeclimate com github komposable komponent maintainability coveralls github https img shields io coveralls github komposable komponent svg komponent implements an opinionated way of organizing front end code in ruby on rails based on components wave heads up the future of this gem is currently being discussed https github com komposable komponent issues 169 please have your say each component has its own folder containing a ruby module a partial a stylesheet and a javascript file komponent relies heavily on webpacker to manage dependencies and generate the production js and css files this readme examples are written in slim but komponent is compatible with your preferred templating language slim haml erb your stylesheet language of choice sass scss css postcss this gem has been inspired by our rails development practices at ouvrages https ouvrages web fr and etamin studio https etaminstudio com and the excellent modern front end in rails https evilmartians com chronicles evil front part 1 article from evil martians details summary table of contents summary compatibility compatibility getting started getting started usage usage passing variables passing variables passing options passing options component caching component caching passing a block passing a block properties properties helpers helpers component partials component partials namespacing components namespacing components stimulus integration stimulus integration internationalization internationalization available locales configuration available locales configuration styleguide styleguide configuration configuration change default root path change default root path default options for the generators default options for the generators change default stylesheet engine change default stylesheet engine force default templating engine force default templating engine additional paths additional paths contributing contributing releasing a new version releasing a new version license license details compatibility ruby 2 5 rails 5 0 webpacker 3 0 0 getting started ruby gemfile gem komponent run the following command to set up your project instantly sh rails generate komponent install this command will check that the dependencies currently webpacker are installed rename the app javascript folder to frontend and modify webpacker config accordingly create the frontend components folder where you will put your component create the frontend components index js file that will list your components and import it in frontend packs application js usage generate a new component with the component generator sh rails generate component button then render it in your views with the component helper or its alias c slim app views pages home html slim component button c button or directly from your controllers ruby app controllers pages controller rb def home render html helpers component home end make sure to include javascript pack tag and stylesheet pack tag in your application layout file for instance slim app views layouts application html slim doctype html html head stylesheet pack tag application body yield javascript pack tag application check webpacker documentation https github com rails webpacker for further information passing variables you can pass locals to the helper they are accessible within the component partial as instance variables additionally the entire locals hash is made available through a properties helper method slim app views pages home html slim component button text my button slim frontend components button button html slim button text passing options component caching komponent relies on rails low level caching http guides rubyonrails org caching with rails html low level caching you can cache the component by passing the cached true option the cache will expire when the locals options or block change if you want better control of the cache expiration you can provide a custom cache key when the cache key changes the cache will be cleared slim app views pages home html slim cache the component based on its locals component button text click here cached true or cache the component with a specific key such as the last update of a model component button text click here cached true cache key product updated at passing a block the component also accepts a block to render the block just use the standard yield slim app views pages home html slim component button span my button slim frontend components button button html slim button yield you can check if the component has been called with a block using the block given to component helper from within the component properties each component comes with a ruby module you can use it to set properties ruby frontend components button button component rb module buttoncomponent extend componenthelper property href required true property text default my button end slim frontend components button button html slim a button href href text helpers if your partial becomes too complex and you want to extract logic from it you may want to define custom helpers in the buttoncomponent module ruby frontend components button button component rb module buttoncomponent extend componenthelper property href required true property text default my button def external link href starts with http end end slim frontend components button button html slim a button href href text external link if external link slim app views pages home html slim component button text my button href http github com component partials you can also choose to split your component into partials in this case we can use the default render helper to render a partial stored inside the component directory slim frontend components button button html slim a button href href text if external link render suffix text external link slim frontend components button suffix html slim text namespacing components to organize different types of components you can group them in namespaces when you use the generator sh rails generate component admin header this will create the component in an admin folder and name its ruby module adminheadercomponent stimulus integration komponent supports stimulus https github com stimulusjs stimulus 1 0 you can pass stimulus to both generators to use stimulus in your components sh rails generate komponent install stimulus this will yarn add stimulus and create a stimulus application js in the frontend folder sh rails generate component button stimulus this will create a component with an additional button controller js file and define a data controller in the generated view internationalization in case your component will contain text strings you want to localize you can pass the locale option to generate localization files in your component directory sh rails generate component button locale this will create a yml file for each locale using i18n available locales in your component the t helper will use the same lazy lookup http guides rubyonrails org i18n html lazy lookup as rails slim frontend components button button html slim a button href href text render suffix text t external link if external link yml frontend components button button en yml en button component external link external link yml frontend components button button fr yml fr button component external link lien externe available locales configuration you can whitelist the locales you use by setting this into an initializer as explained in the official guide http guides rubyonrails org i18n html configure the i18n module ruby i18n available locales en fr if you have the rails i18n gem in your gemfile you should whitelist locales to prevent creating a lot of locale files when you generate a new component styleguide komponent includes a basic styleguide engine that you can use in your project to document your components komponent styleguide ui https user images githubusercontent com 38524 41193700 45909330 6c10 11e8 87b7 59e628529200 png to set it up you can use the generator sh rails generate komponent styleguide this command will copy the styleguide components komponent container komponent footer komponent header and komponent sidebar to your components folder so you can customize them add a new komponent js pack to your packs folder mount the engine in your routes then for each component you can describe it and render examples for each state in the example html slim file from the component folder the engine will then render it on the component page if you have existing components you can generate all their example files at once with sh rails generate komponent examples finally visit http localhost 3000 styleguide to access your styleguide configuration change default root path you can change the default root path frontend to another path where komponent should be installed and components generated you need to change komponent root in an initializer rb rails application config komponent root rails root join app frontend default options for the generators you can configure the generators in an initializer or in application rb so you don t have to add locale and or stimulus flags every time you generate a fresh component rb config generators do g g komponent stimulus true locale true both are false by default end change default stylesheet engine you can configure the stylesheet engine used for generate stylesheet file allowed values are css scss sass rb rails application config komponent stylesheet engine css default value is css force default templating engine if for some reason your preferred templating engine is not detected by komponent you can force it by manually defining it in your config rb rails application config generators template engine haml additional paths you may want to use components in a gem or a rails engine and expose them to the main app in order to do that you just have to configure the paths where komponent will look for components from a gem rb module mygem class railtie rails railtie config after initialize do app app config komponent component paths append mygem root join frontend components end initializer my gem action dispatch do app activesupport on load action controller do actioncontroller base prepend view path mygem root join frontend end end initializer my gem autoload before set autoload paths do app app config autoload paths mygem root join frontend end end private def self root pathname new file dirname dir end end or from an engine rb module myengine class engine rails engine isolate namespace myengine config after initialize do app app config komponent component paths append myengine engine root join frontend components end initializer my engine action dispatch do app activesupport on load action controller do actioncontroller base prepend view path myengine engine root join frontend end end initializer my engine autoload before set autoload paths do app app config autoload paths myengine engine root join frontend end end end make sure you add komponent to the runtime dependencies in your gemspec in order to compile packs from engine and to use javascript pack tag engine you need to create a pack file in main app js frontend packs engine js import packs engine append engine frontend folder to resolved paths in config webpacker yml from your main app yml resolved paths engine frontend running tests run all cucumber features and unit tests with bundle exec appraisal rake test run the full test matrix with bundle exec appraisal rake test contributing bug reports and pull requests are welcome on github at https github com komposable komponent releasing a new version update the changelog add a title and a date for the new version update the version number in lib komponent version install the gem release gem if you haven t already run gem release tag push create or update the release on github with the same version number and copy paste the description from the changelog please note if you re releasing a patch version eg from 2 0 1 to 2 0 2 you can run gem bump patch release tag push sign so you don t have to manually change the version number if you want to release a specific version eg beta rc you can run gem bump 3 0 0 beta1 release tag push sign license the gem is available as open source under the terms of the mit license http opensource org licenses mit | rails5 webpacker component-based design-systems styleguides | front_end |
pse_watertank_system | pse watertank system first assignment of embedded system design course of university of verona | os |
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Alpha-Terriers | alpha terriers | os |
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apigee-javascript-sdk | note this repository is deprecated the latest code is located here https github com apache usergrid tree master sdks html5 javascript apigee javascript sdk getting started detailed instructions are available in our apigee javascript sdk install guide http apigee com docs app services content installing apigee sdk javascript but if you just want a quick example of how to get started with this sdk here s a minimal html5 file that shows you how to include initialize the sdk as well as how to read write data from apigee app services with it be sure to see the full sdk documentation http apigee com docs content build apps home at apigee html doctype html html head don t forget to download and include the sdk it s available at https raw github com apigee apigee javascript sdk master source apigee js script src path to apigee js script script type text javascript initializing the sdk var client new apigee client orgname yourorgname your apigee com username for app services appname sandbox your apigee app services app name reading data var books new apigee collection client client type books books fetch function err data success if err alert read failed else while books hasnextentity var book books getnextentity alert book get title output the title of the book uncomment the next 4 lines if you want to write data book title the old man and the sea books addentity book function error response if error alert write failed else alert write succeeded script head body body html app monitoring app monitoring is enabled by default by initializing the apigee client object network call app usage monitoring the sdk will monitor app usage statistics as well as network calls to track errors and usage this configuration is pulled from the rules that you configure on the app monitoring dashboard of the admin console https apigee com appservices for more information see monitoring app usage data http apigee com docs app services content monitoring app usage data and monitoring network performance http apigee com docs app services content monitoring network performance in the apigee docs simple and advanced logging you can log specific events in your sdk by using one of the many log methods you may also use the console logging methods to track messages this is configured in the app monitoring dashboard of the admin console https apigee com appservices you can use the following methods for logging calls logverbose logdebug loginfo logwarn logerror logassert for more information see monitor app errors and crashes http apigee com docs app services content monitoring app errors and crashes in the apigee docs crash reporting the app monitoring portion of the sdk will monitor the window onerror event to track if your app experiences javascript crashes for more information see monitor app errors and crashes http apigee com docs app services content monitoring app errors and crashes in the apigee docs figuring out your device type app monitoring will automatically detect the specific information about your device analyze data that is collected by device type the level of granularity in detection is also controlled by the app monitoring dashboard of the admin console https apigee com appservices for more information see customizing app monitoring http apigee com docs app services content customizing app monitoring in the apigee docs mobile app development phonegap no additional configuration is needed to use the apigee javascript sdk in phonegap apps trigger io configuration the following plugins should be enabled 1 is 2 event or the sdk will not function properly titanium configuration for the sdk to properly report device based metrics like os and version name we need to add this snippet of code anywhere in your app js file ti app addeventlistener analytics attachready function e ti app fireevent analytics platformmetrics name titanium platform name osname titanium platform getosname model titanium platform getmodel networktype titanium network getnetworktypename uuid titanium platform createuuid node js module and other sdks want to use node js no problem use the usergrid node module you can get it from npm https npmjs org package usergrid and github https github com apigee usergrid node module the syntax for this javascript sdk and the usergrid node module are almost exactly the same so you can easily transition between them we also have sdks available for many other platforms including android ios ruby net visit our sdk download page http apigee com docs app services content app services sdks for a full list tests basic set of test cases can be found in the test folder just open the tests html file and they will all run accordingly more documentation head over to the app services documentation http apigee com docs app services to learn more about how to use app services in javascript comments questions please feel free to send comments or questions to the usergrid google group usergrid googlegroups com or just open github issues we want to know what you think and will address all suggestions comments concerns thank you | front_end |
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evm-blockchain-bridge | img width 1200 alt labs src https user images githubusercontent com 99700157 213291931 5a822628 5b8a 4768 980d 65f324985d32 png p h3 align center chainstack is the leading suite of services connecting developers with web3 infrastructure h3 p p align center a target blank href https chainstack com build better with ethereum img src https github com soos3d blockchain badges blob main protocols badges ethereum svg a nbsp a target blank href https chainstack com build better with bnb smart chain img src https github com soos3d blockchain badges blob main protocols badges bnb svg a nbsp a target blank href https chainstack com build better with polygon img src https github com soos3d blockchain badges blob main protocols badges polygon svg a nbsp a target blank href https chainstack com build better with avalanche img src https github com soos3d blockchain badges blob main protocols badges avalanche svg a nbsp a target blank href https chainstack com build better with fantom img src https github com soos3d blockchain badges blob main protocols badges fantom svg a nbsp p p align center a target blank href https chainstack com homepage a a target blank href https chainstack com protocols supported protocols a a target blank href https chainstack com blog chainstack blog a a target blank href https docs chainstack com quickstart chainstack docs a a target blank href https docs chainstack com quickstart blockchain api reference a br a target blank href https console chainstack com user account create start for free a p evm blockchain bridge simplified you can read the full article for this project in the chainstack blog https chainstack com how to create blockchain bridge this project contains multiple pieces to create a functional although not production ready erc20 blockchain bridge between two evm compatible chains it uses a wallet as an escrow and leverages the events triggered by the erc20 tokens to burn and mint tokens on each side of the bridge requirements node js at least v18 15 0 install node https nodejs org en you ll need access to nodes in different chains to use this bridge check out the chainstack docs to learn how to deploy nodes https docs chainstack com docs platform introduction build compile create a metamask wallet and get some tokens for your target networks this code was tested with sepolia and bnb testnet you can get testnet tokens using the chainstack faucet https faucet chainstack com sepolia faucet clone the repository sh git clone https github com chainstacklabs evm blockchain bridge git deploy smart contracts sh cd solidity clean install dependencies sh npm ci rename solidity env example to solidity env and fill in the details with your wallet address and the rpc endpoints from your chainstack dashboard to deploy your contracts run npm run deploy ori and npm run deploy dest you ll get the contract address in the console you can test the contracts running npm run test front end navigate to the web directory sh cd cd web clean install dependencies sh npm ci rename web env example to web env and fill in the details with your wallet address rpc endpoints and token addresses from the deployed smart contracts to build the front end run npm run build inside the web directory you can run the front end locally with npm run dev or deploy the generated dist folder to any static site hosting back end the back end service is required to run the bridge navigate to the backend directory sh cd cd backend clean install dependencies sh npm ci rename backend env example to backend env and fill in the details with your wallet address rpc endpoints and token addresses from the deployed smart contracts to start the back end service run npm start once the back end service runs you can use the front end to send tokens through the bridge | blockchain bridge | blockchain |
waf-csv | h2 introduction h2 a csv file is a text file that has a specific format which allows the saving of textual information data in an organized fashion the format known as a flat table is very simple each row paragraph contains a record of information each record can contain multiple pieces of data fields separated by a character the character used to distinguish between each piece of data and each record is most commonly a comma but can be any character a csv file is easy to use and to manipulate there are many api to manipulate this file such as skifecsv opencsv supercsv csv4java javacsv but most of them are developed by java language we develop a javascriptcsv api based totally on javacsv following the example of javacsv our javascriptcsv api contains eighty methods this api is intended to manipulat files in wakanda which is a platform for development and deployment of web and mobile applications using javascript however our api javascriptcsv is not yet adaptable to the nodejs after this step we plan to start developing the javascriptexecl api for processing excel files h2 sp cification h2 h4 csvreader h4 methods already done p 1 csvreader filename delimiter charset creates a csvreader object using a file as the data source br 2 csvreader filename delimiter creates a csvreader object using a file as the data source uses iso 8859 1 as the charset br 3 csvreader filename creates a csvreader object using a file as the data source uses a comma as the column delimiter and iso 8859 1 as thecharset br 4 csvreader textstream delimiter charset constructs a csvreader object using a textstream object as the data br source br 5 csvreader textstream charset constructs a csvreader object using a textstream object as the data source uses a comma as the column delimiter br 6 char getdelimiter gets the character being used as the column delimiter default is comma br 7 char getrecorddelimiter gets the character to use as the record delimiter br 8 char gettextqualifier gets the character to use as a text qualifier in the data br 9 boolean getusetextqualifier returns whether text qualifiers will be used while parsing or not br 10 char getcomment gets the character being used as a comment signal br 11 boolean getusecomments gets whether comments are being looked for while parsing or not br 12 int getescapemode gets the current way to escape an occurance of the text qualifier inside qualified data br 13 int getcolumncount gets the count of columns found in this record br 14 long getcurrentrecord gets the index of the current record br 15 string getheaders returns the header values as a string array br 16 string getheader columnindex returns the column header value for a given column index br 17 int getheadercount gets the count of headers read in by a previous call to getheaders br 18 string get int columnindex returns the current column value for a given column index br 19 string get string headername returns the current column value for a given column header name br 20 int getindex string headername gets the corresponding column index for a given column header name br 21 csvreader parse string data creates a csvreader object using a string of data as the source uses iso 8859 1 as the charset br 22 void close closes and releases all related resources p methods not yet used p 1 boolean getcapturerawrecord br 2 string getrawrecord br 3 boolean gettrimwhitespace gets whether leading and trailing whitespace characters are being trimmed from non textqualified column data default is true br 4 boolean getskipemptyrecords br 5 boolean getsafetyswitch safety caution to prevent the parser from using large amounts of memory in the case where parsing settings like file encodings don t end up matching the actual format of a file this switch can be turned off if the file format is known and tested with the switch off the max column lengths and max column count per record supported by the parser will greatly increase default is true br 6 string getvalues br 7 boolean readrecord reads another record returns whether another record was successfully read or not br 8 boolean isqualified int columnindex br 9 boolean skiprecord skips the next record of data by parsing each column does not increment getcurrentrecord returns whether another record was successfully skipped or not br 10 boolean skipline skips the next line of data using the standard end of line characters and does not do any column delimited parsing returns whether a line was successfully skipped or not p h4 csvwriter h4 methods already used p 1 csvwriter filename delimiter charset creates a csvwriter object using a file as the data destination br 2 csvwriter filename creates a csvwriter object using a file as the data destination uses a comma br as the column delimiter and iso 8859 1 as the charset br 3 csvwriter textstream delimiter charset creates a csvwriter object using a textstream to write data to br 4 csvwriter textstream delimiter creates a csvwriter object using a textstream to write data to uses iso 8859 1 as the charset br 5 void setdelimiter char delimiter sets the character to use as the column delimiter br 6 void settextqualifier char textqualifier sets the character to use as a text qualifier in the data br 7 void setcomment char comment br 8 void writeconetnt content preservespaces header wstream writes another column of data to this record br 9 void writecont header content wstream writes another column of data to this record does not preserve leading and trailing whitespace in this column of data br 10 void writecomment string commenttext br 11 void writerec string values boolean preservespaces writes a new record using the passed in array of values br 12 void writerecord string values writes a new record using the passed in array of values br 13 changedelimiter newdelim stream change the char delimiter used in the file br 14 void close closes and releases all related resources br 15 void setrecorddelimiter char recorddelimiter sets the character to use as the record delimiter br 16 void setusetextqualifier boolean usetextqualifier sets whether text qualifiers will be used while writing data or not br 17 void setescapemode int escapemode br 18 void setcomment char comment br 19 void setforcequalifier boolean forcequalifier use this to force all fields to be surrounded by the text qualifier even if the qualifier is not necessarily needed to escape this field default is false br 20 void endrecord ends the current record by sending the record delimiter br 21 void flush clears all buffers for the current writer and causes any buffered data to be written to the underlying device br 22 string replace string original string pattern string replace p h2 pregression h2 almost half of methods has already been done and we expect to finish the rest within 15 days so in 15 days time the test case version will be finalized wakanda versions the wakanda product exists in two versions the first one issued on 15 mar 2012 and the second one issued on 11 mai 2012 this version has passed the wakanda s preliminary quality tests the two versions are available for the three operating systems windows mac and linux pre code the following table describes the available combinations windows mac os linux wakanda server 32 bit or 64 bit 64 bit 64 bit wakanda studio 32 bit 32 bit n a code pre you can download the versions from the website of wakanda http www wakanda org downloads h2 installation h2 h4 installing wakanda studio and wakanda server h4 to install wakanda studio and wakanda server at the same time follow the directions below 1 download the all in one archive for your computer system macintosh or windows 2 unzip the archive 3 place both wakanda studio and wakanda server in the same folder if you do not place them in the same folder wakanda studio will ask you to locate wakanda server h4 installing wakanda studio h4 to install wakanda studio follow the directions below 1 download wakanda studio for your computer system macintosh or windows br 2 unzip the archive br 3 launch wakanda studio br wakanda studio doesn t need wakanda server immediately but when it does it will ask you to locate it h4 installing wakanda server h4 to install wakanda server follow the directions below 1 download wakanda server for your computer system macintosh or windows br 2 unzip the archive br 3 launch wakanda server br once launched wakanda server is moved to the background to access it you need to launch wakanda studio h4 installing wakanda server on linux h4 to install wakanda server on linux follow the directions below 1 download the linux version of wakanda server br 2 unzip the archive br 3 open the terminal br 4 drap the wakanda icon in the terminal and click enter br or you can follow the instructions in the video http doc wakanda org installing wakanda installing wakanda 100 689089 en html h4 installing waf csv module h4 the waf csv module follow the commonjs architecture to install waf csv module on wakanda server follow the directions below 1 go to wakanda server main folder br 2 open the modules folder br 3 copy waf csv folder and waf csv js file found in the src folder into the modules folder br 4 restart wakanda server br for more explanation you can visit the folowing link br http doc wakanda org ssjs modules configuring custom ssjs modules 200 953093 en html br h2 examples h2 reader javascript var csvreader csvreader require waf csv csvreader var stream csv result stream new textstream c wakandav2 csv csv read 2 csv new csvreader stream utf 8 result csv get nom returns the column of ids 1 2 3 4 writer javascript var csvwriter csvwriter require waf csv csvwriter var stream csv tab stream new textstream c temp csvfile csv write 2 csv new csvwriter stream utf 8 tab new array 1 amal bahous csv writerecord tab h2 license h2 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 h2 authors h2 p strong author strong br abdelahad satour satour abdelahad gmail com p p strong contributors strong br amal bahous amal bahous gmail com br najoua mahi najoua mahi gmail com br br p | front_end |
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HelloWorld | helloworld odin s public platform contribution guide backend all commits are to be made on the server branch frontend all commits are to be made on the client branch installation git clone https github com o d i n helloworld git cd helloworld sudo pip install r requirements txt cd app client sudo npm install sudo npm run build cd create a config py file here with the following contents mysql username db user mysql password db password mysql hostname localhost mysql database db name if you don t have mysql then run this first sudo apt get install mysql server adding the mysql database into your system mysql u root p execute create database db name grant all on db name to db user localhost identified by db password continue with the following to run the project python manage py migrate python manage py setup python manage py runserver contributors all the contributions have been now moved to contributors contributors md file this project follows the all contributors https github com kentcdodds all contributors specification | front_end |
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sql-challenge | sql challenge use the information you have to create a table schema for each of the six csv files remember to specify data types primary keys foreign keys and other constraints import each csv file into the corresponding sql table data analysis once you have a complete database do the following list the following details of each employee employee number last name first name gender and salary list employees who were hired in 1986 list the manager of each department with the following information department number department name the manager s employee number last name first name and start and end employment dates list the department of each employee with the following information employee number last name first name and department name list all employees whose first name is hercules and last names begin with b list all employees in the sales department including their employee number last name first name and department name list all employees in the sales and development departments including their employee number last name first name and department name in descending order list the frequency count of employee last names i e how many employees share each last name databasediagram https user images githubusercontent com 59676112 92068203 46eabe80 ed74 11ea 881c c8336e010b85 png | server |
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blockchain-demo | blockchain demo a web based demonstration of blockchain concepts blockchain 101 demo https img youtube com vi 160omzbly8 0 jpg https www youtube com watch v 160omzbly8 this is a very basic visual introduction to the concepts behind a blockchain we introduce the idea of an immutable ledger using an interactive web demo that is available here http andersbrownworth com blockchain setup get the code git clone https github com anders94 blockchain demo git install dependencies cd blockchain demo npm install run the server npm start or bin www for windows if the above command didn t work use this make sure you have node js installed in your system node bin www point a web browser at the demo http localhost 3000 setup using docker get the code git clone https github com anders94 blockchain demo git run the docker setup cd blockchain demo docker compose up d point a web browser at the demo http localhost 3000 optional configuration you can adjust the number of zeros required by the demo by editing the first two lines of public javascripts blockchain js because there are 16 possible characters in a hex value each time you increment the difficulty by one you make the puzzle 16 times harder in my testing a difficulty of 6 requires a maximumnonce well over 500 000 000 if you adjust the difficulty above 4 blocks will show up as not mined because the demo data assumes 4 zeros for a signed block for example on the http localhost 3000 block page with a difficulty of 6 the first nonce that works is 8719932 yielding a hash of 000000669445c22167511857d8f3b822b331c3342f25dfdcb326e35c1a7aa267 this gets out of hand fairly quickly though here s some time estimates at the various thresholds digits nonce time estimate 4 500 000 15 minutes 5 8 000 000 4 hours 6 128 000 000 3 days 7 2 048 000 000 a month 8 32 768 000 000 2 years 9 524 288 000 000 30 years 10 8 388 608 000 000 481 years 11 134 217 728 000 000 7 690 years 12 2 147 483 648 000 000 123 036 years 13 34 359 738 368 000 000 1 968 581 years 14 549 755 813 888 000 000 31 497 291 years 15 8 796 093 022 208 000 000 503 956 662 years in the production bitcoin blockchain block 458 091 has the hash digest 00000000000000000000011246f099d94f91628d71c9d75ad2f9a06e2beb7e92 that s 21 zeros in a row that one block would take this software approximately 8 454 989 768 407 765 years to mine public private key demo the 2nd part of the 101 session https github com anders94 public private key demo send thanks public images qr png bitcoin gratefully accepted 1k3nvcuzzvtuehw1qhkg2cm3virkh2exjp | bitcoin blockchain blockchain-technology | blockchain |
applied-iot | applied iot | course coursework iot education university | server |
Spring2019 | h1 computer vision cs 763 spring 2019 h1 h2 course information h2 ul li b instructor b a href http www cse iitb ac in ajain arjun jain a li b office b 216 cse new building li b email b i ajain cse dot iitb dot ac dot in i li b teaching assistants b rishabh dabral safeer afaque li b class room b sic201 li b instructor office hours in room 216 cse new building b tbd ul h3 please note that cs663 is a hard prerequisite for this course h3 h2 news and announcements h2 ul li b 8 01 19 b monday class to be moved to 7pm slot to accommodate 3rd year students li li b 14 01 19 b the classroom has been moved to b sic201 b slots 13a and 15a due to overflow in cc105 li li b 17 01 19 b assignment 1 has been a href https drive google com open id 1calu8fp 46d1tprcc6evwpkdj1 tahs4 released a and is due by 27th jan li li b 30 01 19 b assignment 2 has been a href https drive google com open id 1jscprjhtn 46qrdst aciv9edduebbif released a and is due by 8th feb li li b 10 02 19 b assignment 3 has been a href https drive google com open id 14lkicvmapbo nemyg6bcsniozx7bafno released a and is due by 20th feb li li b 13 03 19 b assignment 4 has been a href https drive google com open id 1sv5jsvpz6mabeshiqdorj8bg8posbqk2 released a and is due by 23rd march li li b 10 04 19 b assignment 5 has been a href https drive google com open id 1cwt li0wbp6iybvgfoctbg 9ovsh0bt2 released a and is due by 21st april li li b 10 04 19 b end term project evaluation will be held on 6th may li ul h2 topics to be covered tentative h2 ul li deep learning in computer vision the data driven paradigm feed forwards networks back propagation and chain rule cnns and their building blocks generative adverserial networks gans variational autoencoders vaes and conditional variational autoencoders cvaes li deep learning applications including face detection cnn compression siamese and triplet networks and applications to face recognition li camera geometry camera calibration vanishing points important transformations homographies li image registration ransac for point matching sift overview li algorithms for shape from shading optical flow kanade lucas tomasi algorithm applications of optical flow li photometric stereo deriving shape from multiple images of an object taken under different lighting conditions applications to illumination invariant face recognition face relighting li stereo geometric binocular epipolar geometry and fundamental matrix the correspondence problem and shape from stereo structure from motion ul h2 learning materials and textbooks h2 ul li lecture slides that will be regularly posted li a href http szeliski org book computer vision algorithms and applications a by richard szeliski li li a href http crcv ucf edu gauss book pdf fundamentals of computer vision a by mubarak shah li li a href http www deeplearningbook org deep learning a by ian goodfellow and yoshua bengio and aaron courville li all a href https github com facebook itorch itorch a notebooks for topics covered in class can be found a href https github com cs763 dl 2017spring tree master notebooks here a ul h2 grading policy h2 ul li mid sem exam 20 li final exam cumulative 20 li assignments five or six 35 all to be done in groups of 2 3 students li course project 20 to be done in the same group of 2 3 students li class participation 5 li course project work will be presented by the student group during a viva at the end of the course during this viva each student in the group will be separately questioned not only on the project work but also the assignments each student is expected to contribute to each and every assignment and the course project li audit requirements you must write both exams submit all assignments and the project and score at least 40 to get an au ul h2 other policies h2 ul li assignments will be given out typically once every two or three weeks they must be submitted on or before the deadline no late assignments will be accepted the programming components of the assignments will typically involve matlab and lua so you must be willing to learn it quickly li b we will adopt a zero tolerance policy against any forms of plagiarism or any other form of cheating just don t do it in cases of plagiarism givers and takers will both be considered equally responsible b li this course is inherently cumulative the syllabus for the final exam will include everything taught during the semester ul h2 course projects h2 as mentioned in the grading policy this course has a project requirement which will be 20 of your grade the project needs to be done in a group of 2 3 students we will send out a form which needs to be filled up with your project proposal for a list of projects please check a href https github com cs763 spring2019 tree master projects this link a h2 assignments h2 there will be 5 6 assignments in this course they will be a mix of theoretical and programming questions ul li assignment 1 on camera geometry has been a href https drive google com open id 1calu8fp 46d1tprcc6evwpkdj1 tahs4 released a and is due by 27th jan li li assignment 2 on camera calibration image alignment and robust methods has been a href https drive google com open id 1jscprjhtn 46qrdst aciv9edduebbif released a and is due by 8th feb li li assignment 3 on neural network and backpropagation has been a href https drive google com open id 14lkicvmapbo nemyg6bcsniozx7bafno released a and is due by 20th feb please use a href https www kaggle com t 1ddfc99a4b1a4eb9878a69991b17584c this a kaggle link to test your predictions and class standing li li assignment 4 on recurrent neural network has been a href https drive google com open id 1sv5jsvpz6mabeshiqdorj8bg8posbqk2 released a and is due by 23rd march please use a href https www kaggle com t 758d87cd34864370ba209bda72f7d29b this a kaggle link to test your predictions and class standing li li assignment 5 on lucas kande tracker and video stabilization has been a href https drive google com open id 1cwt li0wbp6iybvgfoctbg 9ovsh0bt2 released a and is due by 21st april li ul ul li time datetime 2018 01 12 12 jan 18 time a href https www dropbox com s mltmtj7bpc401vm hw1 pdf dl 0 assignment 1 a has been released the due date for submission is friday january 26 2018 li time datetime 2018 01 27 27 jan 18 time a href https www dropbox com s u0l7gs0dy2rq11l hw2 pdf dl 0 assignment 2 a has been released the due date for submission is sunday february 4 2018 li time datetime 2018 02 09 09 feb 18 time a href https www dropbox com s b92xpq1zvec5956 hw3 pdf dl 0 assignment 3 a has been released the due date for submission is wednesday february 21 2018 strong corresponding kaggle competition a href https www kaggle com c assign3 link a strong li time datetime 2018 03 06 06 mar 18 time a href https www dropbox com s 452ubndyxr9x07l hw4 pdf dl 0 assignment 4 a has been released the due date for submission is monday march 19 2018 strong corresponding kaggle competition a href https www kaggle com t 3b06e8618ccd434293ccbabdfe9598d9 link a strong li 24 march 18 a href https www dropbox com s cocjql8bfmytxbh assignment 5 pdf dl 0 assignment 5 a on tracking has been a href https www dropbox com s cocjql8bfmytxbh assignment 5 pdf dl 0 released a due date april 2 2018 strong download the necessary files from a href https www dropbox com s z3yzd25vgw5cma0 hw5 tar gz dl 0 here a strong li 11 april 18 assignment 6 on multiview geometry has been a href https www dropbox com s ox41nidn99qw56r assignment 6 pdf dl 0 released a due date april 19 2018 ul h2 lecture schedule h2 table tbody tr th date th th topics th th slides th th itorch notebooks th th extra reading th tr tr td 7th jan 2019 td td ul li introduction to computer vision applications and course overview ul td td a href https drive google com open id 1i4lfrbwyeed8dhe c2p4pnmf2k60ow8g slides a td td align center td td align center td tr tr td 8th jan 2019 td td strong camera geometry strong ul li homogeneous coordinates and projective geometry li vanishing points ideal line point line duality in p2 li introduction to the pin hole camera model ul td td a href https drive google com open id 1dlewcnvqshbipp6v3ovi8rk4uds4l1u8 slides a td td align center td td a href http www ipb uni bonn de book pcv pdfs pcv a sample page pdf homogeneous representations of points lines and planes a td tr tr td 14th jan 2019 td td ul li important 2d and 3d transformations using homogenous coordinates li modeling the pinhole camera analytically intinsic and extrinsic parameters li world camera image plane and sensor plane coordinate systems and transformations between them ul td td a href https drive google com open id 161wr4nvhlmm6wmc7djoc 9nuaonpetfb slides a td td align center td td align center td tr tr td 15th jan 2019 td td ul li linear and non linear lens distortion errors li homography planar world and pure rotation of the camera li iterative solutions for dealing with with non linear lens distortion errors li normalized ideal euclidian affine and general camera models li orthographic and weak perspective camera models ul td td a href https drive google com open id 1e7ygsbx2ed8gaoc7 5eje ssigbw crx slides a td td align center td td align center td tr tr td 21st jan 2019 td td ul li cross ratios and its applications li camera calibration using dlt known 3d control points li introduction to zhang s camera calibration method ul td td a href https drive google com open id 1ensjkx9xdoqg9gj9paahyngxxunfigl1 slides a td td td align center td td a href http inside mines edu whoff courses eeng512 lectures 17 svd pdf resource on svd a br additional a href http cmp felk cvut cz cmp courses xe33pvr ws20072008 lectures supporting constrained lsq pdf slides a and a href https foto aalto fi seura julkaisut pjf pjf e 2005 inkila 2005 pjf pdf notes a on solving homogenous least squares problem a br tr tr td 22nd jan 2019 td td ul li zhang s camera calibration method mention of a few dl based calibration methods ul strong image alignment strong ul li image alignment problem statement physically and digitally corresponding points li motion models and degrees of freedom non rigid deformable non parametric image alignment li control point based image alignment using least squares derivation for pseudo inverse li introduction to the sift algorithm li forward and reverse image warping bilinear and nearest neighbor interpolation li mention of dl based image patch descriptors ul td td a href https drive google com open id 1w9sqn o1iuyrhjff1lsbqytxoxvwijgp slides a td td align center td td align center td tr tr td 28th jan 2019 td td ul li image alignment using image similarity measures mean squared error normalized cross correlation li concept of field of view in image alignment using image similarity measures li monomodal and multimodal image alignment li concept of joint histograms and behaviour of joint histograms in multi modal image alignment li concept of entropy and joint entropy algorithm for multimodal registration by minimizing joint entropy li aspects of image registration 2d 3d motion model monomodal or multimodal li application scenarios for image alignment template matching video stabilization panorama generation face recognition 3d to 2d alignment ul td td a href https drive google com open id 1lfisf5ajcpelagozcekcqj1ka me4lvg slides a td td align center td td align center td tr tr td 29th jan 2019 td td strong robust methods in computer vision strong ul li least squares problems and their relation to the gaussian distribution on the noise li examples of outliers in computer vision li explanation of why the gaussian distribution is unsuited to handling outliers li introduction to the laplacian distribution li the importance of heavy tailed distributions in robust statistics li ransac random sample consensus algorithm ul td td a href https drive google com open id 1rqxmvsm30aoor36rll1gfw8zoobyplnk slides a td td align center td td align center td tr tr td 4th feb 2019 td td strong deep learning for computer vision strong ul li history introduction li data driven paradigm li k nn on cifar 10 li hyperparameters choice of loss function cross validation li softmax classifier cross entropy loss function regularization li optimization vanilla gradient descent stochastic gradient descent ul td td a href https drive google com open id 1xwrd6q f0vimhesxkylbiqnegnr6de6o slides a td td align center a href https github com cs763 spring2018 blob master notebooks nn ipynb knn a td td align center a href http parrt cs usfca edu doc matrix calculus index html matrix calculus reminder a td tr tr td 5th feb 2019 td td ul li vanilla momentum nesterov momentum adagrad rmsprop adam li second order optimization methods it s issues with deep learning li good learning rate learning rate decay li feed forward back propagation li fully connected layer ul td td a href https drive google com open id 1qaiglbdzlqk7hj5yq94n7ss5gmxgcwom slides a td td align center a href https www dropbox com s i3jvya22tf5jtbs gradientcheck ipynb dl 0 gradient check a a href https github com cs763 spring2018 blob master notebooks linear ipynb linear layer a td td a href https github com pytorch pytorch blob master torch optim adam py l58 adam a a href https github com fidlej optim raw master dok nesterov simple pdf nesterov a br a href http ruder io optimizing gradient descent index html dl optimization algorithms overview a td tr tr td 11th feb 2019 td td ul li activation functions sigmoid tanh relu leakyrelu elu etc li convolutional layer dilated convolutions ul td td a href https drive google com open id 1mepxpgcv8lvp4gmrykpoljc8rgij yij slides a td td align center a href https github com cs763 spring2018 blob master notebooks convolution ipynb convolution a td td a href https arxiv org pdf 1603 07285 pdf convolution arithmetic for deep learning a a td tr tr td 12th feb 2019 td td ul li convolutions transposed dilated fully connected as convolution sliding window as convolution li max pooling dropout li softmax cross entropy ul td td a href https drive google com open id 1hsbacnnurwug3wihot8jnsps845ybxxl slides a td td align center a href https github com cs763 spring2018 blob master notebooks transposed 20convolution ipynb transposed convolution a a href https github com cs763 spring2018 blob master notebooks max pool ipynb maxpool a a href https github com cs763 spring2018 blob master notebooks cec ipynb cross entropy a td td align center a td tr tr td 18th feb 2019 td td ul li data augmentation hyperparamter selection li weight initialization li babysitting the learning process ul td td a href https drive google com open id 1hi028g8kdopjjsinnxm mihnv4engez2 slides a td td align center a href https github com cs763 spring2018 blob master notebooks weightinit ipynb weight initialization a td td align center a td tr tr td 19th feb 2019 td td ul li convnet applications li convnet case studies alexnet zf net vggnet googlenet resnet se net li transfer learning ul td td a href https drive google com open id 1aq1k6e9p0dtpizgerbm4wqseone687u3 slides a td td align center td td align center a td tr tr td 4th march 2019 td td ul li object detection rcnn fast rcnn faster rcnn yolo ssd ul td td a href https drive google com open id 1emq1d76jumlmsgmhcmzbduh iojxlq1m slides a td td align center td td align center a td tr tr td 5th march 2019 td td ul li object detection evaluation metrics iou map li object detection details roialign feature pyramid network mask rcnn focal loss ul td td a href https drive google com open id 1emq1d76jumlmsgmhcmzbduh iojxlq1m slides a td td align center td td align center a td tr tr td 11th march 2019 td td ul li rnns lstms ul td td a href https drive google com open id 10di1snnbe8dkyz0fwwkrppvcjca89pru slides a td td align center td td align center a td tr tr td 12th march 2019 td td ul li visualizing and understanding convnets li images that maximize convnet class scores reconstructing images from convnet i codes i li deep dream neural art adversarial examples li dimentionality reduction siamese and triplet networks ul td td a href https drive google com open id 1fbsymj cqysmqusggoxcsxusebn5b3kr slides a td td align center td td align center a td tr tr td 18th march 2019 td td ul li neural style transfer li autoencoders li generative modeling vaes gans li case studies pix2pix cyclegan unit ul td td a href https drive google com open id 1shqt2mn6e9ykcsshxujzh5dw0qgaw5id slides 1 a a href https drive google com open id 1ok7gway7ohyv32lugxyejojz3zrqfl0d slides 2 td td align center td td align center a td tr tr td 26th march 2019 td td strong orthographic structure from motion strong ul li factorization method li rank therorem ul td td a href https drive google com open id 1m8sz3hf qyq6aocqwoxq3ywyhhsbqzst slides a td td align center td td align center a td tr tr td 1st april 2019 td td strong optical flow strong ul li dealing with the aperture problem regularization li horn and shunck method algorithm using discrete formulation steps of jacobi s method for matrix inversion and comments about limitations ul td td a href https www cse iitb ac in ajitvr cs763 spring2017 opticalflow pdf slides a td td align center td td align center td tr tr td 2nd april 2019 td td ul li lucas kanade method for optical flow li multi scale lucas kanade method li comparison of horn shunk and lucas kanade algorithms li applications of optical flow ul td td a href https www cse iitb ac in ajitvr cs763 spring2017 opticalflow pdf slides a td td align center td td align center td tr tr td 8th april 2019 td td strong kanade lucas tomasi klt featurepoint tracker strong ul li tracking feature points from a template by estimating motion parameters li finding good features to track ul td td a href https drive google com open id 18oo siejmfltqtte9rc7u8ck8e30u6 x slides a td td align center td td a href http www ncorr com download publications bakerunify pdf lucas kanade 20 years on a unifying framework a td tr tr td 9th april 2019 td td strong geometric stereo strong ul li orientation parameters for the camera pair and relative orientation li coplanarity constraint for corresponding points li derivation and key properties of the fundamental matrix li 8 point algorithm ul td td a href https drive google com open id 1oeb8sqotwdifntrr10ijyrwccbeyhfcy slides a td td align center td td align center td tr tr td 15th april 2019 td td ul li introduction to epipolar geometry li essential matrix ul td td a href https drive google com open id 1atyz6nr znfmwmaeugkm5l shwpo324u slides a td td align center td td align center a href https ags cs uni kl de fileadmin inf ags 3dcv ws18 19 3dcv lec04 epipolar geo pdf epipolar geometry a td tr tr td 16th april 2019 td td ul li generating the normalized stereo case from arbitrary views li triangulation li popular parameterizations for the relative orientation ul td td a href https drive google com open id 1hkfkmsmlzoj qp9djznydw0amc po7d5 slides a td td align center td td align center td tr tbody table | ai |
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cs224n-win2223 | p align center cs224n natural language processing with deep learning p p align center stanford winter 2023 http web stanford edu class cs224n index html p this repository contains my solutions of the assignments of the stanford cs224n natural language processing with deep learning course from winter 2022 23 there are many other great repositories on this course but none that cover the latest assignments winter 2022 2023 and contain the written and practical parts completely state mai 12 2023 this repository is intended as a learning ressource which provides answers if you are stuck please do yourself a favor and try it on your own first if you come across any errors or like me to include a more expressive explanation please let me know at florian kark hhu de reading papers is an important part of this course and crucial for completing the assignments successfully therefore i recommend to have a look at how to read a paper https web stanford edu class ee384m handouts howtoreadpaper pdf from assignment 2 and onwards you will need to edit latex files for your written solutions i can recommend this wikibook https en wikibooks org wiki latex as an up to date comprehensive and accessible reference to have git integration i would use vscode with a latex extension as a latex editor for personal use overleaf https www overleaf com project might be easier and quicker to use for now all assignments are completed i will continue watching the rest of the lectures and come back in september this year to try completing one of the default projects my schedule apr 18 2023 watch lecture 1 https youtu be rmvrlejrkl4 and lecture 2 https youtu be gqahkpezaew read efficient estimation of word representations in vector space http arxiv org pdf 1301 3781 pdf and distributed representations of words and phrases and their compositionality http papers nips cc paper 5021 distributed representations of words and phrases and their compositionality pdf finish assignment 1 https github com floriankark cs224n win2223 tree main a1 go through python review session https colab research google com drive 1hxwtr98jxqrds rzlzcemx hucpdlq6e usp sharing slides http web stanford edu class cs224n readings cs224n python review 2023 pdf apr 19 2023 read glove global vectors for word representation https nlp stanford edu pubs glove pdf improving distributional similarity with lessons learned from word embeddings http www aclweb org anthology q15 1016 and evaluation methods for unsupervised word embeddings http www aclweb org anthology d15 1036 watch lecture 3 https youtu be x0jw4kgaflg and lecture 4 https youtu be psgiodtn3ke apr 20 2023 read matrix calculus notes http web stanford edu class cs224n readings gradient notes pdf review of differential calculus http web stanford edu class cs224n readings review differential calculus pdf cs231n notes on network architectures http cs231n github io neural networks 1 cs231n notes on backprop http cs231n github io optimization 2 derivatives backpropagation and vectorization http cs231n stanford edu handouts derivatives pdf and learning representations by backpropagating errors http www iro umontreal ca vincentp ift3395 lectures backprop old pdf apr 21 2023 read understanding word vectors https gist github com aparrish 2f562e3737544cf29aaf1af30362f469 my own suggestion not included in original cs224n finish assignment 2 written https github com floriankark cs224n win2223 tree main a2 written apr 22 2023 read additional readings a latent variable model approach to pmi based word embeddings http aclweb org anthology q16 1028 linear algebraic structure of word senses with applications to polysemy https transacl org ojs index php tacl article viewfile 1346 320 on the dimensionality of word embedding https papers nips cc paper 7368 on the dimensionality of word embedding pdf yes you should understand backprop https medium com karpathy yes you should understand backprop e2f06eab496b natural language processing almost from scratch http www jmlr org papers volume12 collobert11a collobert11a pdf apr 23 2023 finish assignment 2 https github com floriankark cs224n win2223 tree main a2 watch lecture 5 https youtu be plrywehpcbs and lecture 6 https youtu be 0lixfsa7yts apr 24 2023 complete pytorch tutorial https colab research google com drive 13hgy3 uiiy1kd wfhg4nvrxjc 3nuukp usp sharing read n gram language models https web stanford edu jurafsky slp3 3 pdf textbook chapter the unreasonable effectiveness of recurrent neural networks http karpathy github io 2015 05 21 rnn effectiveness blog post overview sequence modeling recurrent and recursive neural nets http www deeplearningbook org contents rnn html sections 10 1 and 10 2 on chomsky and the two cultures of statistical learning http norvig com chomsky html sequence modeling recurrent and recursive neural nets http www deeplearningbook org contents rnn html sections 10 3 10 5 10 7 10 12 learning long term dependencies with gradient descent is difficult http ai dinfo unifi it paolo ps tnn 94 gradient pdf one of the original vanishing gradient papers on the difficulty of training recurrent neural networks https arxiv org pdf 1211 5063 pdf proof of vanishing gradient problem vanishing gradients jupyter notebook https web stanford edu class archive cs cs224n cs224n 1174 lectures vanishing grad example html demo for feedforward networks understanding lstm networks http colah github io posts 2015 08 understanding lstms blog post overview apr 25 2023 read papers from assignment 3 adam a method for stochastic optimization https arxiv org pdf 1412 6980 pdf tricks from the actual adam update https cs231n github io neural networks 3 sgd dropout a simple way to prevent neural networks from overfitting https www cs toronto edu hinton absps jmlrdropout pdf apr 26 2023 finish assignment 3 written https github com floriankark cs224n win2223 tree main a3 written apr 27 2023 read an explanation of xavier initialization https andyljones tumblr com post 110998971763 an explanation of xavier initialization pytorch documentation nn parameters https pytorch org docs stable nn html parameters initialization https pytorch org docs stable nn init html dropout https pytorch org docs stable nn html dropout layers index select https pytorch org docs stable torch html torch index select gather https pytorch org docs stable torch html torch gather view https pytorch org docs stable tensors html torch tensor view flatten https pytorch org docs stable generated torch flatten html matrix product https pytorch org docs stable torch html torch matmul relu https pytorch org docs stable nn html highlight relu torch nn functional relu adam optimizer https pytorch org docs stable optim html cross entropy loss https pytorch org docs stable nn html crossentropyloss optimizer step https pytorch org docs stable optim html optimizer step finish assignment 3 https github com floriankark cs224n win2223 tree main a3 apr 28 2023 watch lecture 7 https youtu be wzfwhp6sxxy and lecture 8 https youtu be gkd7jpadbpe read statistical machine translation slides cs224n 2015 https web stanford edu class archive cs cs224n cs224n 1162 syllabus shtml lectures 2 3 4 statistical machine translation https www cambridge org core books statistical machine translation 94eadf9f680558e13be759997553cde5 book by philipp koehn bleu https www aclweb org anthology p02 1040 pdf original paper sequence to sequence learning with neural networks https arxiv org pdf 1409 3215 pdf original seq2seq nmt paper sequence transduction with recurrent neural networks https arxiv org pdf 1211 3711 pdf early seq2seq speech recognition paper neural machine translation by jointly learning to align and translate https arxiv org pdf 1409 0473 pdf original seq2seq attention paper attention and augmented recurrent neural networks https distill pub 2016 augmented rnns blog post overview massive exploration of neural machine translation architectures https arxiv org pdf 1703 03906 pdf practical advice for hyperparameter choices achieving open vocabulary neural machine translation with hybrid word character models https arxiv org abs 1604 00788 pdf revisiting character based neural machine translation with capacity and compression https arxiv org pdf 1808 09943 pdf mai 6 2023 read embedding layer https pytorch org docs stable nn html torch nn embedding lstm https pytorch org docs stable nn html torch nn lstm lstm cell https pytorch org docs stable nn html torch nn lstmcell linear layer https pytorch org docs stable nn html torch nn linear dropout layer https pytorch org docs stable nn html torch nn dropout conv1d layer https pytorch org docs stable generated torch nn conv1d html finish assignment 4 https github com floriankark cs224n win2223 tree main a4 mai 7 2023 finish assignment 4 written https github com floriankark cs224n win2223 tree main a4 written mai 8 2023 watch lecture 9 https youtu be ptugllu5sqq read attention is all you need https arxiv org abs 1706 03762 pdf the illustrated transformer https jalammar github io illustrated transformer transformer https ai googleblog com 2017 08 transformer novel neural network html google ai blog post layer normalization https arxiv org pdf 1607 06450 pdf image transformer https arxiv org pdf 1802 05751 pdf music transformer generating music with long term structure https arxiv org pdf 1809 04281 pdf mai 9 2023 watch lecture 10 https youtu be j9acei98c0o and lecture 11 https youtu be ncqfha0 ymu read bert pre training of deep bidirectional transformers for language understanding https arxiv org pdf 1810 04805 pdf contextual word representations a contextual introduction https arxiv org abs 1902 06006 pdf the illustrated bert elmo and co http jalammar github io illustrated bert martin jurafsky chapter on transfer learning https web stanford edu jurafsky slp3 11 pdf mai 10 2023 watch lecture 12 https youtu be 1umo8olr5ng read the curious case of neural text degeneration https arxiv org abs 1904 09751 pdf get to the point summarization with pointer generator networks https arxiv org abs 1704 04368 pdf hierarchical neural story generation https arxiv org abs 1805 04833 pdf how not to evaluate your dialogue system https arxiv org abs 1603 08023 pdf mai 11 2023 finish assignment 5 https github com floriankark cs224n win2223 tree main a5 mai 12 2023 finish assignment 5 written https github com floriankark cs224n win2223 tree main a5 written mai 13 2023 complete huggingface tutorial https colab research google com drive 1pxc ehttnvm72 nviet d2zqolpoi2lh usp sharing mai 14 2023 watch lecture 13 https youtu be ffrndrcbqqu and lecture 14 https youtu be ihwklvosptg read coreference resolution chapter of jurafsky and martin end to end neural coreference resolution exploring the limits of transfer learning with a unified text to text transformer mai 15 2023 watch lecture 15 https youtu be y68rjvfgoto and lecture 16 https youtu be ldg4qfl6bu read ernie enhanced language representation with informative entities barack s wife hillary using knowledge graphs for fact aware language modeling pretrained encyclopedia weakly supervised knowledge pretrained language model language models as knowledge bases mai 16 2023 watch lecture 17 https youtu be f qmssbwv e and lecture 18 https youtu be 2t7q9wvuaf8 future todo write reaction paragraphs for guest speaker lectures watch convnets for nlp lecture and complete assignment 5 from winter 2020 weren t included in 2021 and onwards because they cut the exams and distributed more time towrds the final project watch the other lectures from 2020 and 2022 that are not covered in 2021 lecture plan complete default final project minbert and downstream tasks http web stanford edu class cs224n project default final project bert handout pdf ressources for writing stanford tips for writing technical papers https cs stanford edu people widom paper writing html the science of scientific writing https www americanscientist org blog the long view the science of scientific writing writing nlp papers stanford cs224u natural language understanding spring 2021 https www youtube com watch v dznwo p5pgy ab channel stanfordonline coursera course by stanford https www coursera org learn sciwrite | cs224n-assignment-solutions nlp stanford cs224n deep-learning natural-language-processing 2023 attention machine-learning pytorch recurrent-neural-networks transformers | ai |
instagram-system-design | requirements important mvp user sign up user sign in follow user add post image video with caption delete post image video with caption view post like post unlike post add comment on post delete comment from post see timeline feed see other user s profile check other user s posts other message user stories image filters hashtags search user user follow recommendations push notifications assumptions total users 1 b dau 300 m posts added per day 500 m posts viewed per day 5 b feed request per day 1 5 b avg post file size 500 kb avg post metadata size 10 kb data size per user 10 kb storage post file storage size per day 500 m 500 kb 250 tb post file storage for 5 years 250 tb 365 5 500 pb approx posts metadata size per day 500m 1 kb 5 gb posts metadata size for 5 years 5 gb 365 5 10 tb approx user data 1 b 5 kb 5 tb since data size is immensely huge it is impossible to store in a single machine so we can shard data and store post files images videos in hadoop distributed file system hdfs https hadoop apache org docs r1 2 1 hdfs design html other data in db user userid username first name last name salted password hash phone number email bio photo like user id post id view user id post id comment comment id comment post id user id created at posts post id timestamp user id caption file url follow user id follows lastlogin user id timestamp computation post add qps 500m 86400 6k qps approx post view qps 5b 86400 60k qps approx feed qps 1 5b 86400 17 5k qps approx total app servers needed 450 approx design tradeoff this system should be highly reliable and images should never be lost after upload so we need to have replicas of image servers and databases too here we would prefer our system to be always available rather than consistent overall data flow 1 user sends an api request 2 load balancer receives request and redirect it to an app server 3 an app server receieves that request 4 the app server tries to fulfill the request after input validation and sanitization 5 the app server sends ok response with or without requested data if everything worked fine otherwise a specific error response api signup username first name last name salted password hash phone number email bio photo adds user to user table login username salted password hash login and update last login time search user search string auth token return public user data for given search string can be searched in user first name last name and username get user by id userid auth token return public user data for given user id follow user user id target user id auth token add follow data in db add post file caption user id auth token upload file to file storage server add other post data to posts table delete post user id post id auth token delete given user s given post along with its metadata use soft delete get feed user id count offset timestamp auth token return top posts after the given timestamp of users followed by given user according to count and offset get user posts user id count offset auth token return posts of given user according to count and offset post like user id post id auth token add given post id to given user s likes post unlike user id post id auth token remove given post id from given user s likes add comment user id post id comment add comment to given user s comment on given post delete comment user id comment id delete given user s comment of given comment id feed generation approach 1 1 get user ids of all users followed by given user 2 get all posts after given timestamp for each user id 3 sort these posts on the basis of recency say 4 store top k of these in cache 5 return next count number of posts after offset number of posts we can improve the time complexity by following steps 1 we can continuously generate user s feed using separate servers and store them in user feed table 2 to get a user s feed we can query this table and return the results 3 to generate an user s feed we can query the user feed table to get previously generated feed then generate new feed after the previous feed s timestamp storage number of posts in feed 50 feed size per user 50 post size 50 1kb 50kb feed size for 1 b users 50kb 1 b 50tb distribute pull in this clients requests feed from server regularly or dynamically based on user actions scroll load more etc but it doesn t handle new data very well users have to manually refresh to get new data also when client regularly requests data most of the time if there is no new data response would be empty push in this server can push new posts of a user to all his her followers long polling can be used problem with this is that when a user has a lot of followers the server has to send a large number of requests hybrid we can use pull method for large followers users and push for others cache as the users are distributed globally and we have to improve our latency we can host files on cdns to reduce feeds post fetch time we can also use cache on app servers for feeds and posts lru can be used as the cache eviction we can determine the cache size using 80 20 rule which says almost 80 of our traffic comes from 20 of our daily data posts metadata cache size 0 2 5tb 1 tb feed cache size 0 2 50tb 10 tb since cache size is large cache must also be distributed load balancing we need a load balancer for user requests we can use round robin technique to distribute requests among app servers but if a server goes down a request can be sent to it as a workaround we can use heartbeat mechanism in which each server pings the lb at a certain interval to let lb know that it s not down since db and cache servers are also distributed we need load balancers for them since they both are user specific we can use consistent hashing to determine which request should go to which server main load balancer app servers lb cache servers lb db servers image storage servers | os |
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Relational-Databases | relational databases software engineering technology conestoga college assignments mysql used for database | server |
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webots-Autonomous-Mobile-Robot | introduction this repository includes all the project files related to the development of an autonomous mobile robot using the webots simulation platform https cyberbotics com the project is being done by a team of 5 undergraduates at the department of electronic and telecommunication engineering university of moratuwa sri lanka you need to install the simulation software to your local machine and create your own world and control the robot using controllers the given tutorials https cyberbotics com doc guide tutorials can be useful for beginners simulated robot a screenshot of the running simulation is given below complete run can be viewed at here https youtube com playlist list plofdv2drh1zaoxaembeulalrtqy sawsb to run on your local machine clone the repository navigate to the final robot worlds final world wbt file and double click img src webots png width 800 reference wiring diagram of the robot img src wiring 20diagram wiringbrand svg width 800 team individual commitment to a group effort that is what makes a team work a company work a society work a civilization work vince lombardi team leader thalagala b p https bimalka98 github io team members 1 sandeepa h k c a https github com avishkasandeepa 2 hewavitharana d r https github com hevidra 3 nagasinghe k r y https github com ravindu yasas nagasinghe 4 kumarasinghe h a n h https github com nikeshi99 additional notes the corresponding physical robot implementation of this robot can be found at autonomous mobile robot https github com bimalka98 autonomous mobile robot physical implementation | robotics simulation | front_end |
mern-tdd | test driven development tdd full stack app with mongo express react and node embed that backend express api with react as frontend then connect backend with locally hosted mongodb database | server |
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PMF-database-engineering | pmf database engineering software engineering for databases university class start the database server docker run name faks mysql e mysql root password root p 3306 3306 d mysql 8 0 33 create the database tables and generate data use mysql workbench to connect to the database server use the following credentials user root password root run the sql script create mysql schema sql to create the database and tables run generate data py to generate data for the database | server |
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smart-contract-vulnerabilities | smart contract vulnerabilities insufficient gas griefing vulnerabilities insufficient gas griefing md reentrancy vulnerabilities reentrancy md integer overflow and underflow vulnerabilities overflow underflow md timestamp dependence vulnerabilities timestamp dependence md authorization through tx origin vulnerabilities authorization txorigin md floating pragma vulnerabilities floating pragma md outdated compiler version vulnerabilities outdated compiler version md unsafe low level call vulnerabilities unsafe low level call md uninitialized storage pointer vulnerabilities uninitialized storage pointer md assert violation vulnerabilities assert violation md use of deprecated functions vulnerabilities use of deprecated functions md delegatecall to untrusted callee vulnerabilities delegatecall untrusted callee md signature malleability vulnerabilities signature malleability md incorrect constructor name vulnerabilities incorrect constructor md shadowing state variables vulnerabilities shadowing state variables md weak sources of randomness from chain attributes vulnerabilities weak sources randomness md missing protection against signature replay attacks vulnerabilities missing protection signature replay md requirement validation vulnerabilities requirement violation md write to arbitrary storage location vulnerabilities arbitrary storage location md incorrect inheritance order vulnerabilities incorrect inheritance order md presence of unused variables vulnerabilities unused variables md unencrypted private data on chain vulnerabilities unencrypted private data on chain md inadherence to standards vulnerabilities inadherence to standards md asserting contract from code size vulnerabilities asserting contract from code size md transaction ordering dependence vulnerabilities transaction ordering dependence md dos with block gas limit vulnerabilities dos gas limit md dos with unexpected revert vulnerabilities dos revert md unexpected ecrecover null address vulnerabilities unexpected ecrecover null address md default visibility vulnerabilities default visibility md insufficient access control vulnerabilities insufficient access control md off by one vulnerabilities off by one md lack of precision vulnerabilities lack of precision md further reading https github com ethereum wiki wiki safety https swcregistry io https eprint iacr org 2016 1007 pdf https www dasp co https consensys github io smart contract best practices https github com sigp solidity security blog https solidity readthedocs io en latest bugs html contributions submit a pr | blockchain ethereum security solidity | blockchain |
reviews-analysis | reviews analysis this repository contains code for extracting and analyzing customer product reviews data in this example we use amazon product reviews for a television which are extracted using rapidapi the final clean customer review data which is suitable for analytics and product enhancement purposes is stored in the file named reviews sentiment clean analysis xlsx the process of generating this file involves a four step approach and the corresponding python files and jupyter notebooks are provided in this repository the filenames are numbered to indicate the order in which the code should be executed to achieve the final output 1 rapid api py this python script is used to extract product reviews from amazon using rapidapi the extracted reviews are raw data that require further processing 2 extract reviews py the output from rapidapi is not in a tabular format this python script processes the raw data extracts relevant data points and organizes them into a tabular format the resulting data is saved to a csv file for further analysis 3 openapi call scratch ipynb this jupyter notebook contains code that iteratively calls gpt models for each review using the langchain framework the goal is to perform sentiment analysis on the reviews and obtain insights into customer opinions 4 extract sentiment py the output from the gpt models is in the form of nested dictionaries this python script extracts sentiment information from the nested dictionaries and organizes it back into a tabular format for easy analysis and interpretation overall this repository provides a comprehensive workflow for extracting processing analyzing and interpreting customer product reviews data the code is modular and can be adapted for similar use cases involving customer reviews analysis | ai |
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govuk-form-builder | gov uk form builder for ruby on rails tests https github com x govuk govuk form builder workflows tests badge svg https github com x govuk govuk form builder actions maintainability https api codeclimate com v1 badges 110136fb22341d3ba646 maintainability https codeclimate com github x govuk govuk form builder maintainability gem version https img shields io gem dt govuk design system formbuilder logo rubygems https rubygems org gems govuk design system formbuilder gem https img shields io gem dt govuk design system formbuilder logo rubygems https rubygems org gems govuk design system formbuilder test coverage https api codeclimate com v1 badges 110136fb22341d3ba646 test coverage https codeclimate com github x govuk govuk form builder test coverage github license https img shields io github license x govuk govuk form builder https github com x govuk govuk form builder blob main license gov uk design system version https img shields io badge gov uk 20design 20system 4 7 0 brightgreen https design system service gov uk rails https img shields io badge rails 6 1 7 20 e2 95 b1 207 0 6 e16d6d https weblog rubyonrails org releases ruby https img shields io badge ruby 3 0 6 20 20 e2 95 b1 203 1 4 20 20 e2 95 b1 203 2 2 e16d6d https www ruby lang org en downloads this library provides an easy to use form builder for the gov uk design system https design system service gov uk it is intended to make creating forms quick easy and familiar for ruby on rails developers documentation the gem comes with a full guide https govuk form builder netlify app that covers most aspects of day to day use along with code and output examples the examples in the guide are generated from the builder itself so it will always be up to date netlify status https api netlify com api v1 badges d4c50b8d 6ca3 4797 9ab3 6e0731c72b44 deploy status https app netlify com sites govuk form builder deploys what s included 100 compatibility with the gov uk design system full control of labels legends hints captions and fieldsets no overwriting of rails default form helpers automatic aria associations between hints errors and inputs most helpers take blocks for arbitrary content additional params for programmatically adding hints to check box and radio button collections full i18n support automatic handling of activerecord validation error messages no external dependencies an exhaustive test suite extensive technical documentation https www rubydoc info gems govuk design system formbuilder govukdesignsystemformbuilder builder installation you can install the form builder gem by running the gem install govuk design system formbuilder or by adding the following line to your gemfile sh gem govuk design system formbuilder to make full use of this tool you will need a rails application with the latest gov uk frontend https github com alphagov govuk frontend assets installed and configured to get up and running quickly and easily try kickstarting your project with a pre configured template dfe rails template https github com dfe digital rails template defra ruby template https github com defra defra ruby template setup to use the form builder in an ad hoc basis you can specify it as an argument to form for or form with these examples are written in slim https github com slim template slim but other templating languages like erb and haml https haml info work just as well slim form for some object builder govukdesignsystemformbuilder formbuilder do f to set it globally just add this line to your applicationcontroller ruby class applicationcontroller actioncontroller base default form builder govukdesignsystemformbuilder formbuilder end now we can get started slim form for person do f f govuk text field full name label text your full name f govuk number field age label text age f govuk collection select department id departments id name description label text which department do you work for hint text if you don t know ask your manager f govuk submit away we go developing and running the tests the form builder is tested with rspec to run all the tests first ensure that the development and testing prerequisite gems are installed at the root of a freshly cloned repo run sh bundle now if everything was successful run rspec sh bundle exec rspec contributing bug reports and feature requests are most welcome please raise an issue or submit a pull request currently we re using govuk lint https github com alphagov govuk lint to ensure code meets the gov uk guidelines please ensure that any prs also adhere to this standard to help keep the logs clean and tidy please configure git to use your full name sh git config global user name julius hibbert services using this library approximately 100 services use this library https github com x govuk govuk form builder network dependents here are a few from the abbr title department for education dfe abbr abbr title ministry of justice moj abbr and abbr title department for business energy industrial strategy beis abbr apply for teacher training https www github com x govuk apply for teacher training teaching vacancies https www github com x govuk teaching vacancies get a teacher training adviser https www github com x govuk get teacher training adviser service claim for crown court defence https www github com ministryofjustice claim for crown court defence appeal to the tax tribunal https www github com ministryofjustice tax tribunals datacapture apply to court about child arrangements https www github com ministryofjustice c100 application trade tariff duty calculator https www github com trade tariff trade tariff duty calculator report your official development assistance https www github com ukgovernmentbeis beis report official development assistance form building services using this library moj forms https moj forms service justice gov uk gov uk forms https www forms service gov uk thanks this project was inspired by ministry of justice s govukelementsformbuilder https github com ministryofjustice govuk elements form builder but is leaner more modular and written in a more idiomatic style | form-builder govuk rails ruby form builder govuk-forms project | os |
DeepLearning.AI-Natural-Language-Processing-Specialization | p align center img height 100 src https wordpress deeplearning ai wp content uploads 2021 02 logofiles deeplearning primarylogo png p hr deeplearning ai natural language processing specialization https www coursera org specializations natural language processing this is all my notebooks lab solutions and assignments for the deeplearning ai natural language processing specialization on coursera about the specialization this specialization is designed and taught by two experts in nlp machine learning and deep learning younes bensouda mourri is an instructor of ai at stanford university who also helped build the deep learning specialization ukasz kaiser is a staff research scientist at google brain and the co author of tensorflow the tensor2tensor and trax libraries and the transformer paper what i learned use logistic regression na ve bayes and word vectors to implement sentiment analysis complete analogies translate words and use locality sensitive hashing to approximate nearest neighbors use dynamic programming hidden markov models and word embeddings to autocorrect misspelled words autocomplete partial sentences and identify part of speech tags for words use dense and recurrent neural networks lstms grus and siamese networks in tensorflow and trax to perform advanced sentiment analysis text generation named entity recognition and to identify duplicate questions use encoder decoder causal and self attention to perform advanced machine translation of complete sentences text summarization question answering and to build chatbots learn t5 bert transformer reformer and more with transformers courses 1 natural language processing with classification and vector spaces https github com fahdseddik deeplearning ai natural language processing specialization tree main 1 natural 20language 20processing 20with 20classification 20and 20vector 20spaces 2 natural language processing with probabilistic models https github com fahdseddik deeplearning ai natural language processing specialization tree main 2 natural 20language 20processing 20with 20probabilistic 20models 3 natural language processing with sequence models https github com fahdseddik deeplearning ai natural language processing specialization tree main 3 natural 20language 20processing 20with 20sequence 20models 4 natural language processing with attention models https github com fahdseddik deeplearning ai natural language processing specialization tree main 4 natural 20language 20processing 20with 20attention 20models disclamer the files uploaded here are only for reference | attention-model coursera coursera-specialization deeplearning-ai natural-language-processing nlp probabilistic-models sequence-models vector-space-models | ai |
Data-Engineering-Projects | data engineering projects nyc motor vehicle collisions overview the nyc motor vehicle collisions dataset is a collection of traffic accident reports in new york city it includes information such as the location date and time type of collision and other factors that may have contributed to the accident the data is provided by the new york city police department nypd and is updated daily it covers all five boroughs of the city and is available from 2012 to the present day i along with my team of 3 data engineers are tasked to gather data perform source system analysis and document findings stage raw data design dimensional model design etl pipelines and load data to integration schema building interactive dashboards and reports using tableau and power bi click to view results https github com rohitpaul1998 data engineering projects tree main nyc motor vehicle collisions retail company data warehousing solution problem statement build a data warehousing solution for a retail company that enables analysis of their product complaints and consumer data the solution will include source system analysis data profiling in alteryx data staging etl development in talend to extract transform and load data from data source into a ralph kimball star schema dimensional model in google bigquery as well as development and testing of the entire data integration workflow the resulting data will be visualized using interactive dashboards in tableau note project in progress click to view results https github com rohitpaul1998 data engineering projects tree main retail data warehousing solution data pipeline for social media analytics 1 built a twitter scraping bot that scraped 5000 unstructured tweet data cleansed the data using numpy pandas ensuring high data quality and accuracy 2 loaded mongodb with cleansed data for flexible data storage executed analytical queries through mongo shell discovering data patterns and popular tweets 3 performed sentiment analysis on the stored data using textblob machine learning library uncovering valuable insights into user sentiment 4 loaded the processed data to snowflake data warehouse transformed the data using sql functions and extracted insightful information 5 designed powerful data visualization dashboards in power bi presented trends and insights leveraged dax formulas and calculated sentiment remarks on the distribution of user sentiment scores providing even deeper insights into user behaviour 6 automated the data pipeline using apache airflow and monitored workflows resulting in efficient and reliable data processing click to view results https github com rohitpaul1998 data engineering projects tree main data pipeline social media | server |
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chainercv | docs images logo png http chainercv readthedocs io en stable pypi https img shields io pypi v chainercv svg https pypi python org pypi chainercv license https img shields io github license chainer chainercv svg https github com chainer chainercv blob master license travis https travis ci org chainer chainercv svg branch master https travis ci org chainer chainercv read the docs https readthedocs org projects chainercv badge version latest http chainercv readthedocs io en latest badge latest chainercv a library for deep learning in computer vision chainercv is a collection of tools to train and run neural networks for computer vision tasks using chainer https github com chainer chainer you can find the documentation here http chainercv readthedocs io en stable supported tasks image classification resnet examples resnet senet examples senet vgg examples vgg object detection tutorial http chainercv readthedocs io en latest tutorial detection html faster r cnn examples faster rcnn fpn examples fpn ssd examples ssd yolo examples yolo light head r cnn examples light head rcnn semantic segmentation segnet examples segnet pspnet examples pspnet deeplab v3 examples deeplab instance segmentation fcis examples fcis mask r cnn examples fpn guiding principles chainercv is developed under the following three guiding principles ease of use implementations of computer vision networks with a cohesive and simple interface reproducibility training scripts that are perfect for being used as reference implementations compositionality tools such as data loaders and evaluation scripts that have common api installation bash pip install u numpy pip install chainercv the instruction on installation using anaconda is here http chainercv readthedocs io en stable install guide recommended requirements chainer https github com chainer chainer and its dependencies pillow cython build requirements for additional features matplotlib opencv scipy mpi4py pycocotools https github com cocodataset cocoapi tree master pythonapi pycocotools environments under python 2 7 12 and 3 6 0 are tested the master branch is designed to work on chainer v6 the stable version and v7 the development version the following branches are kept for the previous version of chainer note that these branches are unmaintained 0 4 11 for chainer v1 it can be installed by pip install chainercv 0 4 11 0 7 for chainer v2 it can be installed by pip install chainercv 0 7 0 8 for chainer v3 it can be installed by pip install chainercv 0 8 0 10 for chainer v4 it can be installed by pip install chainercv 0 10 0 12 for chainer v5 it can be installed by pip install chainercv 0 12 0 13 for chainer v6 it can be installed by pip install chainercv 0 13 data conventions image the order of color channel is rgb shape is chw i e channel height width the range of values is 0 255 size is represented by row column order i e height width bounding boxes shape is r 4 coordinates are ordered as y min x min y max x max the order is the opposite of opencv semantic segmentation image shape is height width the value is class id which is in range 0 n class 1 sample visualization example are outputs of detection models supported by chainercv https user images githubusercontent com 3014172 40634581 bb01f52a 6330 11e8 8502 ba3dacd81dc8 png these are the outputs of the detection models supported by chainercv citation if chainercv helps your research please cite the paper for acm multimedia open source software competition here is a bibtex entry inproceedings chainercv2017 author niitani yusuke and ogawa toru and saito shunta and saito masaki title chainercv a library for deep learning in computer vision booktitle acm multimedia year 2017 the preprint can be found in arxiv https arxiv org abs 1708 08169 | chainer computer-vision neural-network deep-learning python cupy chainercv | ai |
INT214-Statistics | int214 statistics for information technology 1 64 using workshop int214 statistics for information technology installation program 1 install r from https cran rstudio com 2 download rstudio desktop from https rstudio com products rstudio download download course outlines class r topics instruction files class 1 introduction setting up r 01 intro r workshop 01 intro r md class 2 basic r statistics 02 basic r workshop 02 basic r md class 3 explore data part i 03 explore 01 workshop 03 explore 01 md class 4 explore data part ii 04 explore 02 workshop 04 explore 02 md class 5 data transformation data cleaning 05 cleaning workshop 05 cleaning md class 5 workshop i 06 workshop workshop 06 workshop1 md class 6 data visualization 07 dataviz workshop 07 dataviz md class 7 hypothesis testing with r 08 hypotesting workshop 08 hypotesting md class 8 workshop ii 09 workshop2 workshop 09 workshop2 md resources resources in this repository summary r command workshop summary md view https drive google com drive folders 0b2hrapzm xxyfklvv014zerlseo0b29stjh4zxfpdvdztznfazhtx0xpbzblzhb6r3hebda resourcekey 0 oiorgd ejslr0gyzea5dcg usp drive link all slides view https github com safesit23 int214 statistics tree main datasets dataset materials view https github com safesit23 int214 statistics tree main files materials in class key assignments view https github com safesit23 int214 statistics tree main assignment all assignment sample r document by using rmd file https github com safesit23 int214 statistics blob main files samplerdoc rmd view output here https safesit23 github io int214 statistics files samplerdoc html related repository term project details int214 project https github com sit 2021 int214 int214 project github organization int214 statistics 2021 https github com sit 2021 int214 sample project 000 int214survey https github com sit 2021 int214 000 int214survey learning reference https www statmethods net index html https www tutorialspoint com r https github com andrewgbruce statistics for data scientists https cran r project org doc contrib paradis rdebuts en pdf https www rstudio com resources cheatsheets https www tidyverse org https clauswilke com dataviz created by jatawat xie p safe | statistics r-language hacktoberfest | server |
TypeScript_WebDevelopment-LearningPlattform_German | webentwicklungreactapp last edit 07 2023 br language typescript react web app br azure web app https proud pebble 024572f10 3 azurestaticapps net this is a typescript react app designed to teach the basics of web development it runs entirely locally on the client and does not require a backend just a server on which the web app is hosted this is intended as a companion to my web development lecture so students will receive an account as part of this to review the material afterwards br note i don t regularly sync my azure dev ops repo with this github repo so the code of the hosted website may differ from this br br br deutsche kurzbeschreibung das ist eine typescript react app welche die grundlagen der webentwicklung vermitteln soll sie l uft komplett lokal auf dem client und ben tigt kein backend lediglich einen server auf welchem die web app gehostet wird diese ist gedacht als begleitmaterial zu meiner webentwicklungsvorlesung dementsprechend erhalten die studenten als teil dieser einen account um anschlie end den stoff zu wiederholen br achtung ich synchronisiere mein azure dev ops repo nicht regelm ig mit diesem github repo dementsprechend kann der code der gehosteten webseite abweichen von diesem available scripts in the project directory you can run npm start runs the app in the development mode open http localhost 3000 http localhost 3000 to view it in the browser the page will reload if you make edits you will also see any lint errors in the console npm test launches the test runner in the interactive watch mode see the section about running tests https facebook github io create react app docs running tests for more information npm run build builds the app for production to the build folder it correctly bundles react in production mode and optimizes the build for the best performance the build is minified and the filenames include the hashes your app is ready to be deployed see the section about deployment https facebook github io create react app docs deployment for more information | server |
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ReverseEngineering | arm64 iphone 5s ipad air ipad mini2 ios 8 ios 10 http jailbreak 25pp com ios http jailbreak 25pp com ios cydia apt 25pp com apt saurik com bigboss apple file conduit appsync unified ifile pp openssh cycript adv cmds reveal loader vi improved mac pp https pro 25pp com ifunbox http www i funbox com http www i funbox com machoview https github com gdbinit machoview reveal hopper disassembler mac iphone wi fi alpine bash ssh root iphone ip address ssh known hosts bash ssh keygen r iphone ip address ssh iphone bash ssh keygen ssh copy id root iphone ip address scp ssh id rsa pub root iphone ip address ssh root iphone ip address mkdir ssh cat id rsa pub ssh authorized keys rm id rsa pub chmod 755 chmod 755 ssh chmod 644 ssh authorized keys usb usbmuxd https cgit sukimashita com usbmuxd git snapshot usbmuxd 1 0 8 tar gz documents iphone 22 localhost 10010 bash cd documents usbmuxd 1 0 8 python client python tcprelay py t 22 10010 10011 10011 localhost 10010 iphone 22 bash ssh root localhost p 10010 ios inputrc set convert meta off set output meta on set meta flag on set input meta on cycript mjcript https github com codermjlee mjcript bash ps a app cycript bash cycript p pid or app exec name uiapplication sharedapplication uiapp var app uiapp keywindow address value objectivec classes uiapp uiapp keywindow recursivedescription tostring choose uiviewcontroller mach o c define mh object 0x1 relocatable object file define mh execute 0x2 demand paged executable file define mh fvmlib 0x3 fixed vm shared library file define mh core 0x4 core file define mh preload 0x5 preloaded executable file define mh dylib 0x6 dynamically bound shared library define mh dylinker 0x7 dynamic link editor define mh bundle 0x8 dynamically bound bundle file define mh dylib stub 0x9 shared library stub for static linking only no section contents define mh dsym 0xa companion file with only debug sections define mh kext bundle 0xb x86 64 kexts mach o mh object o a o mh dylib dylib framework mh dylinker usr lib dyld mh dsym dsym contents resources dwarf xxx app mach o bash file file dir bash lipo mach o file dir thin arm64 output output dir bash lipo mach o file 1 mach o file 2 output output dir clutch https github com kjcracks clutch dumpdecrypted https github com stefanesser dumpdecrypted bash otool l exec dir grep crypt crypt 0 make dumpdecrypted dylib var root ps a app bash dyld insert libraries dumpdecrypted dylib exec dir class dump http stevenygard com projects class dump objective c app bash class dump h app exec dir o headers folder output dir theos ldid bash brew install ldid bash profile bash export theos theos export path theos bin path export theos device ip 127 0 0 1 export theos device port 10010 theos bash cd git clone recursive https github com theos theos git theos tweak bash nic pl iphone tweak mobilesubstrate bundle filter app bundle id tweak xm objective c hook xxxview id initwithframe struct cgrect arg1 return nil end bash make clean make make package make install https github com theos theos wiki structure http iphonedevwiki net index php theos logo http iphonedevwiki net index php logos iphone developer debugserver entitlements bash ldid e debugserver debugserver entitlements entitlements get task allow task for pid allow boolen yes entitlements debugserver bash ldid sdebugserver entitlements debugserver debugserver iphone usr bin debugserver app bash debugserver 10011 a pid or app exec name lldb debugserver bash lldb lldb process connect connect iphone ip address 10011 debugserver app bash debugserver x auto 10011 app exec dir lldb bash lldb expression self view backgroundcolor uicolor redcolor bash lldb thread backtrace lldb bt bash lldb thread return bash lldb frame variable bash lldb thread continue lldb continue lldb c bash lldb thread step over lldb next lldb n lldb ni instruction bash lldb thread step in lldb step lldb s lldb si instructios bash lldb thread step out lldb finish bash lldb breakpoint set n test lldb breakpoint set n touchesbegan withevent lldb breakpoint set n viewcontroller touchesbegan withevent lldb breakpoint set r regex expression lldb breakpoint list lldb breakpoint enable bpt no lldb breakpoint disable bpt no lldb breakpoint delete bpt no bash lldb watchpoint set variable self age lldb watchpoint set expression self age bash lldb image lookup t type bash lldb image lookup a address bash lldb image lookup n symbol name or func name bash lldb image list lldb image list o f xcode app embedded mobileprovision embedded mobileprovision entitlements plist bash security cms d i embedded mobileprovision tmp plist usr libexec plistbuddy x c print entitlements tmp plist entitlements plist bash security find identity v p codesigning app appextension bash codesign fs cer id or cer str dylib dir app bash codesign fs cer id or cer str entitlements entitlements plist app file gui embedded mobileprovision app ios app signer https github com dantheman827 ios app signer insert dylib https github com tyilo insert dylib usr local bin bash cd app file exec dir iphone library mobilesubstrate dynamiclibararies tweak app bash insert dylib executable path tweak dylib name app exec name all yes waek app exec name iphone library frameworks cydiasubstrate framework cydiasubstrate tweak tweak bash install name tool change library frameworks cydiasubstrate framework cydiasubstrate loader path cydiasubstrate tweak dylib name ipa github https github com iweslie reverseengineering | os |
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frontend-code-challenge | yodlr front end engineer code design challenge hello we re excited that you re interested in joining the yodlr https getyodlr com team in the past we have brought potential engineering candidates into our office for a full day technical interview this interview would include whiteboard programming exercises code reviews and other thought exercises unfortunately onsite technical interviews are often biased against people who are not comfortable being put on the spot not to mention who actually codes on a whiteboard in real life in short we realized that we were evaluating candidates in an unusual situation so instead we ve come up with this relatively open ended programming design challenge that will allow you to demonstrate your skills from the comfort of your own workspace in addition we know your time is valuable so please feel free to use your completed work as a portfolio piece we wish you the best of luck and can t wait to see what you create thanks team yodlr jared tom ross overview we have provided you with a simple nodejs https nodejs org application server for user registration and administration this app does two things hosts static content from the public directory serves a json rest api for crud http en wikipedia org wiki create read update and delete operations on users stored in memory we would like for you to build a user interface for user registration and one for administration of existing users to get you started we have created placeholder pages signup html and admin html that you can build on you may use any front end technologies you would like to create these user interfaces this nodejs application is currently geared towards client side rendering for systems like angularjs backbonejs emberjs jquery etc but if you are more familiar with server side templating handlebars jade swig ejs etc please feel free to rework the application as needed in terms of design layout we leave that entirely up to you we are familiar with bootstrap getbootstrap com but have also heard great things about foundation foundation zurb com we recommend using whatever you re most comfortable with getting started to use this application you will need to download and install nodejs http nodejs org download once you have nodejs installed you have two choices for downloading this source code 1 download extract a zip file https github com yodlr frontend code challenge archive master zip of the source 2 fork this repository and git clone your fork next you need to install the package dependencies by running the following command in the top level directory of this source tree npm install once the dependancies are installed you can start the application server by running npm start once the server is running you can access the start page index html by opening your browser to http localhost 3000 http localhost 3000 to stop the server press ctrl c rest api the users json rest api is exposed at http localhost 3000 users http localhost 3000 on server start user data is read into memory from init data json all subsequent actions are done against this memory store stopping and starting the server will re initialize data from init data json api endpoints users http get returns array of all users http post creates a new user returns the created user data users id http get returns the user with given id numeric auto incrementing http 404 if user not found http put updates the user with given id and returns updated record http 404 if user not fund http delete removes the users with given id returns nothing http 204 here is an example of results returned from http get on users id 1 email kyle getyodlr com firstname kyle lastname white state active id 2 email jane getyodlr com firstname jane lastname stone state active id 3 email lilly getyodlr com firstname lilly lastname smith state pending id 4 email fred getyodlr com firstname fred lastname miles state pending id 5 email alex getyodlr com firstname alexandra lastname betts state pending requirements we kindly ask that you spend no more than 6 8 hours on this challenge at a minimum there are three things we would like to see users should be able to register admin page should list all users design layout of content we will of course examine your code for readability architectural decisions and modularity if when you meet with us be prepared to talk about why and how you built your interfaces idea inspiration if you have additional time after completing the requirements we think you should then we d love to see what else you can do here are some ideas to get you started but please don t limit yourself to these experiment with alternative designs a b testing is important for registration signup form validation automated testing dynamic data on admin page no need to refresh to status changes sorting searching of users admin button to activate accounts set user status to active admin creation of new accounts optimize assets minimize and or bundle css js authentication authorization to be perfectly clear we don t expect that anyone could complete all of these in 6 8 hours this is simply a list of ideas to inspire you submission there are two ways that you can submit your solution to us the first is to simply create a zip file of the project directory and email it to jobs getyodlr com mailto jobs getyodlr com with the subject front end code challenge alternatively you can follow the github fork pr workflow by forking this repository https github com yodlr frontend code challenge fork commiting your changes and submiting a pull request to us for more information about that you can see this github article https help github com articles fork a repo propose changes to someone elses project questions problems stuck you can either write us a github issue https github com yodlr frontend code challenge issues new or email us at jobs getyodlr com mailto jobs getyodlr com license we have licensed this project under the mit license so that you may use this for a portfolio piece or anything else | front_end |
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IV-online-shop-with-learning-materials | this project was made by rumsoft gang projekt sklepu z notatkami dla student w projekcik na przedmiot in ynieria oprogramowania bazy danych semestr 4 prowadz cy mgr in maciej penar hostowane na darmowym rodowisku azure z subskrybcji microsoft imagine od naszej kochanej prz xd przy pierwszym uruchomieniu mo e troche wolno adowa bo hosting usypia aplikacj p niej dzia a sprawnie https projekcik prz azurewebsites net status build status https dev azure com dr124 uni projekcik 2 apis build status projekcik prz 20 20ci branchname master https projekcik prz azurewebsites net | server |
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Amazon-Forest-Computer-Vision | amazon forest computer vision satellite image tagging code using pytorch keras here is a sample of images we had to work with media chipdesc jpg media chips jpg media agg1 jpg media cloudy 1 jpg media habitation1 jpg media haze1 jpg media pc1 jpg media river jpg media road jpg source https www kaggle com c planet understanding the amazon from space data note the repo was developed in may 2017 on pytorch 0 1 pytorch was publicly announced in january 2017 and has seen tremendous changes since then you will find a script that output the mean and stddev of your image if you want to train from scratch https github com mratsim amazon forest computer vision blob master compute mean std py l28 using weighted loss function https github com mratsim amazon forest computer vision blob master main pytorch py l61 logging your experiment https github com mratsim amazon forest computer vision blob master main pytorch py l89 composing data augmentations https github com mratsim amazon forest computer vision blob master main pytorch py l103 also here https github com mratsim amazon forest computer vision blob master src p data augmentation py l181 note use pillow simd https python pillow org pillow perf instead of pil pillow it is even faster than opencv loading from a csv that contains image path 61 lines yeah https github com mratsim amazon forest computer vision blob master src p2 dataload py l23 equivalent in keras 216 lines ugh https github com mratsim amazon forest computer vision blob master src k dataloader py note so much lines were needed because by default in keras you either have the data augmentation with imagedatagenerator or lazy loading of images with flow from directory and there is no flow from csv model finetuning with custom pycaffe weights https github com mratsim amazon forest computer vision blob master src p neuro py l139 train test split pytorch version https github com mratsim amazon forest computer vision blob master src p model selection py l4 and keras version https github com mratsim amazon forest computer vision blob master src k model selection py l4 weighted sampling training so that the model view rare cases more often https github com mratsim amazon forest computer vision blob master main pytorch py l131 l140 custom sampler creation example for the balanced sampler https github com mratsim amazon forest computer vision blob master src p sampler py saving snapshots each epoch https github com mratsim amazon forest computer vision blob master main pytorch py l171 loading the best snapshot for prediction https github com mratsim amazon forest computer vision blob master pytorch predict only py l83 failed word embeddings experiments https github com mratsim amazon forest computer vision blob master embedding rnn autoencoder ipynb to combine image and text data https github com mratsim amazon forest computer vision blob master dual feed image label ipynb combined weighted loss function softmax for unique weather tags bce for multilabel tags https github com mratsim amazon forest computer vision blob master src p2 loss py l36 selecting the best f2 threshold https github com mratsim amazon forest computer vision blob master src p2 metrics py l38 via stochastic search at the end of each epoch to maximize validation score https github com mratsim amazon forest computer vision blob 526128239a6abcbb32fbf5b34ed8cc7a3cd87c4e src p2 validation py l49 this is then saved along model parameter cnn rnn combination work in progress https github com mratsim amazon forest computer vision blob master src p3 neurornn py l10 | pytorch data-augmentation kaggle-competition kaggle deep-learning computer-vision keras neural-networks neural-network-example transfer-learning | ai |
The-Society-Fare | the society fare link http sf thapar edu alternate link http appforms thapar edu sf a website that manages and maintains all the events under computer science and engineering dept tiet along with event details attendance and gallery information with a contact form to connect with society coordinators currently live in tiet patiala demonstration video https drive google com open id 1jwhutqq1ofckj48qgt3xkjzl ufc7lw6 | server |
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cloud-engineering | cloud engineering cloud engineering | cloud |
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General-Motors-Telemetry-Data-Processing | general motors telemetry data processing this project is focused on processing telemetry data generated by third party iot devices installed in general motors heavy vehicles the telemetry data is sent in json format to an aws s3 storage bucket and we need to move it to general motors azure cloud validate it and store it in a sql database architecture the data processing pipeline consists of the following components source aws s3 storage bucket where json telemetry data is stored landing azure storage account where the telemetry data is copied using azure data factory validation azure function triggered by a storage based trigger that reads the telemetry data from the landing folder validates it and moves it to the staging folder if it s valid or to the rejected folder otherwise staging azure storage account where the validated telemetry data is copied using azure data factory destination azure sql database where the validated telemetry data is stored here s a diagram of the pipeline architecture image https user images githubusercontent com 122796244 221552437 aa31c941 0fea 43e6 af83 ab7de9a62f2f png setup to deploy this data processing pipeline you ll need an azure subscription and the following azure services azure data factory azure storage account azure function azure sql database you ll also need to set up the following resources aws s3 storage bucket create an aws s3 storage bucket and configure it to receive telemetry data from the third party iot devices installed in general motors heavy vehicles azure storage account create an azure storage account and set up the following containers landing create a container named landing to store the telemetry data copied from the aws s3 storage bucket using azure data factory staging create a container named staging to store the validated telemetry data that is ready to be copied to the azure sql database rejected create a container named rejected to store the telemetry data that is rejected by the validation process azure sql database create an azure sql database and set up the table to store the validated telemetry data use following code create table vehicledata vehicleid nvarchar 100 not null latitiude decimal 19 12 null longitude decimal 19 12 null city nvarchar 100 null temeprature int null speed int null azure function create an azure function and set up the following runtime stack choose net core 3 1 trigger choose azure blob storage trigger input set the path to the landing container in the azure storage account output set the path to the staging and rejected containers in the azure storage account azure data factory create an azure data factory and set up the following source set up a connection to the aws s3 storage bucket and create a dataset pointing to the bucket destination set up a connection to the azure storage account and create datasets pointing to the landing and staging containers copy data pipeline create a pipeline that copies data from the aws s3 storage bucket to the landing container in the azure storage account move data pipeline create a pipeline that moves validated data from the staging container to the azure sql database references udemy course on azure data engineering by deepak goyal | server |
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Web-Development-Submissions | web development submissions this repository contains web development submissions | front_end |
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ml4a | h1 align center br a href https ml4a net img src https pbs twimg com profile images 717391151041540096 k3z09zcg 400x400 jpg alt ml4a width 200 a br machine learning for artists br h1 div align center a href https ml 4a slack com img src https img shields io badge chat on 20slack 7a5979 svg a a href https mybinder org v2 gh ml4a ml4a ml4a net img src https mybinder org badge svg a a href http colab research google com github ml4a ml4a blob ml4a net img src https colab research google com assets colab badge svg a a href https twitter com ml4a img src https img shields io twitter follow ml4a label follow style social a div ml4a https ml4a net is a python library for making art with machine learning it features an api wrapping popular deep learning models with creative applications including stylegan2 https github com nvlabs stylegan2 spade https github com nvlabs spade neural style transfer https github com genekogan neural style deepdream https github com genekogan deepdream and many others https github com ml4a ml4a tree master ml4a models submodules a collection of jupyter notebooks https github com ml4a ml4a guides tree ml4a net examples explaining the basics of deep learning for beginners and providing recipes for using the materials creatively https github com ml4a ml4a guides tree ml4a net examples models example ml4a bundles the source code of various open source repositories as git submodules https github com ml4a ml4a guides tree ml4a net ml4a models submodules and contains wrappers to streamline and simplify them for example to generate sample images with stylegan2 from ml4a import image from ml4a models import stylegan network pkl stylegan get pretrained model ffhq stylegan load model network pkl samples stylegan random sample 3 labels none truncation 1 0 image display samples every model in ml4a models including the stylegan module above imports all of the original repository s code into its namespace allowing low level access support ml4a become a sponsor you can support ml4a by donating through github sponsors https github com sponsors ml4a how to contribute start by joining the slack https join slack com t ml 4a shared invite enqtnja4mjgzodk1mja3ltlhyjq5nwq2otnlodzimdrjztfmndziyjlmzwywngm0yjixnje3yjc0nwvjmmvlzjnmzdhmytkzzjk0ztg1zgm 3e or following us on twitter https www twitter com ml4a contribute to the codebase or help write tutorials license ml4a itself is licensed mit https github com ml4a ml4a blob master license but you are also bound to the licenses of any models https github com ml4a ml4a tree master ml4a models submodules you use | ai |
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rtos | ece 5960 6960 advanced embedded systems fall 2023 monday 15 00 16 05 wedneday 15 00 16 20 meb 2265 website https github com uofu emb rtos instructor ashton snelgrove email ashton snelgrove utah edu office location meb 1339 course description this is a follow up course in embedded systems focusing on real time requirements and reliable systems the course will cover practical implementation of real time systems using real time operating systems rtos topics covered include timing requirements low power modes and energy efficiency concurrency distributed communication using can bus system testing and verification course outcomes at the end of this course you should be able to build safe and fault tolerant system real time systems distributed systems concurrent systems low power systems work in an industry environment setup a project from scratch write automated tests use source control review code modify existing code base see here for full detailed learning objectives learning objectives pdf class format 5 minute case study presentation 20 minute discussion remaining time working in the lab in pairs tooling we will be using platformio https platformio org to provide toolchain os hal and libraries we will be using zephyr rtos https docs zephyrproject org 2 7 5 note version 2 7 5 vscode https code visualstudio com is the recommended ide most of the time we will be operating on the command line cheating and ethics we learn good practice by seeing good practice we learn good practice by critiquing bad practice this is a collaborative course you are not just encouraged but required to work together what is not cheating reading examples on the internet working with other students reading other student s code helping debug working with people from outside class what is cheating copying code without understanding it students are expected to maintain the ethical and professional standards of the engineering discipline show respect for one another for more information see the university policies section below attendance punctuality this is a collaborative and lab based course students are required to attend each class and participate please let me know as soon as possible if you cannot come to class if you are sick stay home course policies instructor will respond to emails within 24 hours students are expected to complete code reviews within 3 business days of being assigned students should make arrangements with lab partners to meet outside of class time if required grading policy evaluation methods criteria specifications grading nielson 2014 goal of assignments is to demonstrate competency and mastery of a topic assignments are graded pass fail no partial credit each assignment will have a detailed specification that is required to be met unacceptable assignments can be resubmitted code assignment requirements all code must pass comprehensive automated tests written by you pass any automated tests provided by us be committed to source control using git peer reviewed letter grades letter grades are assigned based on completion of the following grade graduate requirements undergraduate requirements c case study presentation br labs 0 1 2 3 4 and 5 br contribute to the final project case study presentation br labs 0 1 2 3 and 4 br contribute to the final project b all neccessary to get a c lab 6 and 1 more labs all neccessary to get a c labs 5 and 6 a all neccessary to get a b and 2 more labs br lead a team for a task during final project all neccessary to get a b and 2 more labs assignments safety case study with presentation each student is assigned a short 5 minute presentation this presentation will cover a case study of a critical failure of an embedded system the case could come from any situation including medical devices transportation industrial control and home automation the presentation should discuss the consequences of the failure the root causes and what could have been done to prevent or mitigate the failure at the beginning of class one student will give their presentation labs labs are broken into several components you must complete all components of the lab pre lab primer the pre lab also includes introductory material this may include videos and articles to review before class the pre lab includes a set of questions students will submit their answers on canvas the day before class lab coding activities all lab activities will be done in pairs if an odd number of students is present one team will have three members the instructor and ta will be present for the entire lab session to discuss and provide feedback each lab includes a set of activities with explanatory introduction all activities are intended to yield unit tests that validate the outcome of the activity post lab reflection survey a post lab survey is given this helps the students evaluate their own performance and gives the instructor an opportunity to evaluate the outcomes of the lab the survey is administered on canvas code review when all activities are complete the team will create a pull request pr each team will be paired with another team each team will be responsible for doing code review for the other team in order to pass the code review all unit tests must pass the reviewers should verify the code completes all the requirements of the lab the team should also review for style organization and clarity if changes are necessary the team can make the changes and resubmit for review in order to complete the lab students must pass their own code review they must also complete their assigned review one unavoidable problem of the review process is that control is given to another party during review it is the team s responsibility to ensure the reviewing team finishes the review badgering your colleague to finish reviewing your pr is a fact of life in industry practice if needed the instructor can help resolve any conflicts project to synthesize concepts the class will work together on a large project to apply the concepts learned in the course small groups will take on tasks that contribute towards the final product students will work on multiple tasks and teams over the course of the project course schedule day lab discussion aug 21 course syllabus assign case study presentations git review pull requests aug 23 lab 0 hello world real time os features bare metal comparison aug 28 lab 1 testing techniques testing techniques refactoring writing for testability aug 30 lab 1 con t sept 4 labor day relax sept 6 lab 1 con t sept 11 lab 2 mocking function binding hijinks sept 13 lab 2 con t sept 18 lab1 2 completion sept 20 lab 3 tasks semaphores synchronization shared state race conditions deadlock sept 25 lab 3 con t sept 27 lab 4 interprocess communication communication patterns oct 2 lab 5 real time systems real time requirements oct 4 lab 5 con t oct 9 fall break oct 11 fall break oct 16 lab 6 scheduling presentations scheduling prioritization oct 18 lab 6 con t priority inversion oct 23 lab 7 can bus networking oct 25 lab 7 con t real time communication oct 30 lab 8 error handling safety network reliability start case study presentations nov 1 lab 8 con t nov 6 lab 9 power measuring and estimating power nov 8 lab 9 con t nov 13 nov 15 nov 20 nov 22 thanksgiving eve nov 27 nov 29 dec 4 dec 6 exam period is wednesday december 13 2023 3 30 5 30 pm we will use this time to discuss what happened during the course and show off our results note this syllabus is meant to serve as an outline and guide for our course please note that i may modify it with reasonable notice to you i may also modify the course schedule to accommodate the needs of our class any changes will be announced in class and posted on canvas under announcements university policies the americans with disabilities act the university of utah seeks to provide equal access to its programs services and activities for people with disabilities if you will need accommodations in this class reasonable prior notice needs to be given to the center for disability access 162 olpin union building 801 581 5020 cds will work with you and the instructor to make arrangements for accommodations all written information in this course can be made available in an alternative format with prior notification to the center for disability access ada accomodation given the nature of this course attendance is required and adjustments cannot be granted to allow non attendance however if you need to seek an ada accommodation to request an exception to this attendance policy due to a disability please contact the center for disability and access cda cda will work with us to determine what if any ada accommodations are reasonable and appropriate university safety statement the university of utah values the safety of all campus community members to report suspicious activity or to request a courtesy escort call campus police at 801 585 cops 801 585 2677 you will receive important emergency alerts and safety messages regarding campus safety via text message for more information regarding safety and to view available training resources including helpful videos visit https safeu utah edu addressing sexual misconduct title ix makes it clear that violence and harassment based on sex and gender which includes sexual orientation and gender identity expression is a civil rights offense subject to the same kinds of accountability and the same kinds of support applied to offenses against other protected categories such as race national origin color religion age status as a person with a disability veteran s status or genetic information if you or someone you know has been harassed or assaulted you are encouraged to report it to the title ix coordinator in the office of equal opportunity and affirmative action 135 park building 801 581 8365 or the office of the dean of students 270 union building 801 581 7066 for support and confidential consultation contact the center for student wellness 426 ssb 801 581 7776 to report to the police contact the department of public safety 801 585 2677 cops lauren s promise lauren s promise is a vow that anyone faculty staff students parents and community members can take to indicate to others that they represent a safe haven for sharing incidents of sexual assault domestic violence or stalking anyone who makes lauren s promise vows to 1 listen to and believe those individuals who are being threatened or experiencing sexual assault dating violence or stalking 2 represent a safe haven for sharing incidents of sexual assault domestic violence or stalking and 3 change campus culture that responds poorly to dating violence and stalking by making lauren s promise individuals are helping to change campus cultures that respond poorly to dating violence and stalking throughout the nation academic misconduct statement it is expected that students adhere to university of utah policies regarding academic honesty including but not limited to refraining from cheating plagiarizing misrepresenting one s work and or inappropriately collaborating this includes the use of generative artificial intelligence ai tools without citation documentation or authorization students are expected to adhere to the prescribed professional and ethical standards of the profession discipline for which they are preparing any student who engages in academic dishonesty or who violates the professional and ethical standards for their profession discipline may be subject to academic sanctions as per the university of utah s student code https regulations utah edu academics 6 410 php diversity statement i stand in support of compassion dignity value of life equity inclusion and justice for all individuals regardless of color race ethnicity sexual orientation religion language socioeconomic status ability gender gender identity or expression immigration status or any type of marginalization i stand in support of making our society more inclusive just and equitable for all individuals i stand against individual and systemic racism in all its various forms undocumented student support statement immigration is a complex phenomenon with broad impact those who are directly affected by it as well as those who are indirectly affected by their relationships with family members friends and loved ones if your immigration status presents obstacles to engaging in specific activities or fulfilling specific course criteria confidential arrangements may be requested from the dream center arrangements with the dream center will not jeopardize your student status your financial aid or any other part of your residence the dream center offers a wide range of resources to support undocumented students with and without daca as well as students from mixed status families to learn more please contact the dream center at 801 213 3697 or visit https dream utah edu drop withdrawal policies students may drop a course within the first two weeks of a given semester without any penalties students may officially withdraw w from a class or all classes after the drop deadline through the midpoint of a course a w grade is recorded on the transcript and appropriate tuition fees are assessed the grade w is not used in calculating the student s gpa for deadlines to withdraw from full term first and second session classes see the u s academic calendar student code http regulations utah edu academics 6 400 php accommodation policy see section q http regulations utah edu academics 6 100 php student mental health resources rates of burnout anxiety depression isolation and loneliness have noticeably increased during the pandemic if you need help reach out for campus mental health resources including free counseling trainings and other support consider participating in a mental health first aid or other wellness themed training provided by our center for student wellness and sharing these opportunities with your peers teaching assistants and department colleagues diverse supports for students your success at the university of utah is important to all of us here if you feel like you need extra support in academics overcoming personal difficulties or finding community the u is here for you student support services trio trio federal programs are targeted to serve and assist low income individuals first generation college students and individuals with disabilities student support services sss is a trio program for current or incoming undergraduate university students who are seeking their first bachelor s degree and need academic assistance and other services to be successful at the university of utah for more information about what support they provide a list of ongoing events and links to other resources view their website or contact student support services trio 801 581 7188 https trio utah edu room 2075 1901 e s campus dr salt lake city ut 84112 american indian students the airc works to increase american indian student visibility and success on campus by advocating for and providing student centered programs and tools to enhance academic success cultural events to promote personal well being and a supportive home away from home space for students to grow and develop leadership skills for more information about what support they provide a list of ongoing events and links to other resources view their website or contact american indian resource center 801 581 7019 https diversity utah edu centers airc fort douglas building 622 1925 de trobriand st salt lake city ut 84113 black students using a pan african lens the black cultural center seeks to counteract persistent campus wide and global anti blackness the black cultural center works to holistically enrich educate and advocate for students faculty and staff through black centered programming culturally affirming educational initiatives and retention strategies for more information about what support they provide a list of ongoing events and links to other resources view their website or contact black cultural center 801 213 1441 https diversity utah edu centers bcc fort douglas building 603 95 fort douglas blvd salt lake city ut 84113 students with children our mission is to support and coordinate information program development and services that enhance family resources as well as the availability affordability and quality of child care for university students faculty and staff for more information about what support they provide a list of ongoing events and links to other resources view their website or contact center for childcare family resources 801 585 5897 https childcare utah edu 408 union building 200 s central campus dr salt lake city ut 84112 students with disabilities the center for disability access is dedicated to serving students with disabilities by providing the opportunity for success and equal access at the university of utah they also strive to create an inclusive safe and respectful environment for more information about what support they provide and links to other resources view their website or contact center for disability access 801 581 5020 https disability utah edu 162 union building 200 s central campus dr salt lake city ut 84112 students across intersectional identities and experiences the center for equity student belonging cesb creates community and advocates for academic success and belonging for students across inter sectional identities and experiences among our african african american black native indigenous american indian asian asian american latinx chicanx pacific islander multiracial lgbtq neurodiverse and disabled students of color for more information about what support they provide a list of ongoing events and links to other resources view their website or contact center for equity and student belonging cesb 801 581 8151 https diversity utah edu centers cesb 235 union building 200 s central campus dr salt lake city ut 84112 english as a second additional language esl students if you are an english language learner there are several resources on campus available to help you develop your english writing and language skills feel free to contact writing center 801 587 9122 https writingcenter utah edu 2701 marriott library 295 s 1500 e salt lake city ut 84112 english language institute 801 581 4600 https continue utah edu eli 540 arapeen dr salt lake city ut 84108 undocumented students immigration is a complex phenomenon with broad impact those who are directly affected by it as well as those who are indirectly affected by their relationships with family members friends and loved ones if your immigration status presents obstacles that prevent you from engaging in specific activities or fulfilling specific course criteria confidential arrangements may be requested from the dream center arrangements with the dream center will not jeopardize your student status your financial aid or any other part of your residence the dream center offers a wide range of resources to support undocumented students with and without daca as well as students from mixed status families for more information about what support they provide and links to other resources view their website or contact dream center 801 213 3697 https dream utah edu 1120 annex wing b 1901 e s campus dr salt lake city ut 84112 lgbtq students the lgbtq resource center acts in accountability with the campus community by identifying the needs of people with a queer range of a gender and a sexual experiences and responding with university wide services for more information about what support they provide a list of ongoing events and links to other resources view their website or contact lgbtq resource center 801 587 7973 https lgbt utah edu links to an external site 409 union building 200 s central campus dr salt lake city ut 84112 veterans military students the mission of the veterans support center is to improve and enhance the individual and academic success of veterans service members and their family members who attend the university to help them receive the benefits they earned and to serve as a liaison between the student veteran community and the university for more information about what support they provide a list of ongoing events and links to other resources view their website or contact veterans support center 801 587 7722 https veteranscenter utah edu links to an external site 418 union building 200 s central campus dr salt lake city ut 84112 women the women s resource center wrc at the university of utah serves as the central resource for educational and support services for women honoring the complexities of women s identities the wrc facilitates choices and changes through programs counseling and training grounded in a commitment to advance social justice and equality for more information about what support they provide a list of ongoing events and links to other resources view their website or contact women s resource center 801 581 8030 https womenscenter utah edu 411 union building 200 s central campus dr salt lake city ut 84112 inclusivity at the u the office for inclusive excellence is here to engage support and advance an environment fostering the values of respect diversity equity inclusivity and academic excellence for students in our increasingly global campus community they also handle reports of bias in the classroom as outlined below bias or hate incidents consist of speech conduct or some other form of expression or action that is motivated wholly or in part by prejudice or bias whose impact discriminates demeans embarrasses assigns stereotypes harasses or excludes individuals because of their race color ethnicity national origin language sex size gender identity or expression sexual orientation disability age or religion for more information about what support they provide and links to other resources or to report a bias incident view their website or contact office for inclusive excellence 801 581 4600 https inclusive excellence utah edu links to an external site 170 annex wing d 1901 e s campus dr salt lake city ut 84112 other student groups at the u to learn more about some of the other resource groups available at the u check out https getinvolved utah edu https studentsuccess utah edu resources student support | os |
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AndroidTutorials | androidtutorials star and fork this is my respository for mobile application development android homework and i will show the index here for you chapter 1 helloandroid helloandroid https github com tochase androidtutorials tree master 1 helloandroid chapter 2 activity 2 2 activity toast menu finish https github com tochase androidtutorials tree master 2 activity 2 2 20 20activity 20toast 20menu 20finish 2 3 activity intent https github com tochase androidtutorials tree master 2 activity 2 3 20 20activity 20intent 2 4 activitylifecycletest https github com tochase androidtutorials tree master 2 activity 2 4 20 20activitylifecycletest chapter 3 layout 3 1 linearlayouttest https github com tochase androidtutorials tree master 3 layout 3 1 20linearlayouttest 3 2 relativelayouttest https github com tochase androidtutorials tree master 3 layout 3 2 20relativelayouttest 3 3 tablelayouttest https github com tochase androidtutorials tree master 3 layout 3 3 20tablelayouttest chapter 4 uimodule 4 1 listview https github com tochase androidtutorials tree master 4 uimodule listview 4 2 alertdialog https github com tochase androidtutorials tree master 4 uimodule alertdialog 4 3 custommenu https github com tochase androidtutorials tree master 4 uimodule custommenu 4 4 menuactionmode https github com tochase androidtutorials tree master 4 uimodule menuactionmode chapter 5 setting https github com tochase androidtutorials tree master 5 setting chapter 6 intent https github com tochase androidtutorials tree master 6 intent | android | front_end |
banspil | banspil wip aarch64 reverse engineering tool tailored for ios apps | os |
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awesome-neovim | awesome neovim configuration this repo it to make setting up of neovim nvim 0 9 a breeze the setup is powered and managed by lazy nvim lazy nvim plugin manager note for the previous config setup with paq nvim checkout paq branch paq nvim branch features supported zig c c lua and all other language compilers linters and static analysis through null ls lsp servers configured with nvim lspconfig autocompletion formatters and all other features supported by neovim s builtin lsp any build system treesitter syntax highlighting transform your neovim editor into a full fledged ide easily customize and extend config blazingly fast using lazy nvim lazy nvim and the new lua loader that byte compiles and caches lua files screenshots c c with code action https user images githubusercontent com 22438427 232250467 a2b64fcd fe02 4376 9ff3 a4062e6e53d3 png c with errors https user images githubusercontent com 22438427 232250501 06f54292 46ad 44e7 945b 6d0ddb655621 png zig zig onedark colorscheme with error https user images githubusercontent com 22438427 232316211 99bbe5cf ccf3 4727 a7ae 79cb889e4cad png zig onedark colorscheme struct hovered https user images githubusercontent com 22438427 232316227 5b01cbe5 6ddf 41f7 a257 e9a2c5d08d3a png lua lua with with errors https user images githubusercontent com 22438427 232250603 e33108ab 235b 42f6 b12a 478ac259d93e png lua with preview definition https user images githubusercontent com 22438427 232250636 0500c2c7 04db 4438 b9b9 5e04a2f2ac02 png startup time startup time with zig https user images githubusercontent com 22438427 232324710 31e6eff9 15a6 4968 9998 503e7dc55cdf png requirement neovim 0 9 0 needs to be built with luajit git 2 40 0 gitsigns tree sitter 0 20 8 to enable automatically installing missing parsers when entering buffers a nerd font https www nerdfonts com optional for nvim tree lualine bufferline note the languages supported out of the box are zig c c lua bash zsh glsl json but support for other languages like js ts html5 css3 vue markdown nix can easily be add by using its required lsp server configuration https github com neovim nvim lspconfig blob master doc server configurations md and installing the server and other accompanying tools for development like linters static analysers formatter directory structure text config nvim ftplugin lua mapping lua gitcommit lua help lua zsh lua lua config autocmds lua defaults lua init lua keymaps lua lazy lua options lua syntax lua utils lua plugins cmp lua colorscheme lua editor lua gitsigns lua lsp lua neorg lua snip lua telescope lua tree lua treesitter lua ui lua init lua lazy lock json license readme md ftplugin directory contains files for setting options or mappings specific to filetypes lua config directory contains editor autocmds keymaps options defaults syntax files utils fn s and lazy nvim configuration lua plugins directory contains all plugins configurations and their mappings init initializing start point for nvim editor getting started you can find awesome neovim here awesome nvim details summary follow the steps below to use b awesome neovim b summary fork this repo into your account github how to fork a repository https docs github com en get started quickstart fork a repo make a backup of your current neovim files at xdg config home nvim and xdg data home nvim sh mv config nvim config nvim bak mv local share nvim local share nvim bak clone the repo into xdg config home nvim or home config nvim sh git clone https github com your username awesome neovim xdg config home nvim start neovim sh nvim details for information on how to use lazy nvim lazy nvim you can thoroughly go through awesome neovim configuration and if more clarification is required read lazy s lazy nvim readme for help using the various plugins and extensions zsh help local addtions to view the help pages and instruction manual on the various extensions awesome nvim https github com ultra code awesome neovim lazy nvim https github com folke lazy nvim nvim https github com neovim neovim paq nvim branch https github com ultra code awesome neovim tree paq credit huge credit to folke https github com folke i learnt a lot from his lazy config repo https github com lazyvim lazyvim big shout out to the creators of the various plugins which make nvim terrific another to all the creators of the various neovim extensions and last but not the least god bless the vim neovim community for this hyperextensible and hackable text editor | neovim neovim-config awesome-neovim nvim paq-nvim treesitter lspconfig lua neovim-dotfiles neovim-lsp neovim-lua neovim-lua-plugin neovim-plugin | front_end |
computer-vision-guide | english readme en us md t rk e gitter https img shields io gitter room nwjs nw js svg https gitter im opencv turkish tutorial mit licensed https img shields io badge license mit blue svg video https img shields io badge video mesutpiskin red svg logo youtube longcache true style flat https www youtube com channel uc ko bndyxcvl1xjg0dordg g r nt leme ve bilgisayarl g r k lavuzu g r nt i leme ve bilgisayarl g r k lavuzu dok mantasyon dok mantasyon rnek projeler rnek projeler destek destek soru cevap soru cevap lisans lisans bu e itim bilgisayarl g r n n temellerini anlayabilmenizi ve opencv ile bilgisayarl g r uygulamalar geli tirebilmenizi ama lamaktad r python java javascript c ve c rnekleri ile desteklenmektedir talep veya neriniz varsa ileti ime ge mekten ekinmeyin leti ime ge mek i in a href http meesutpiskin com web sitem a veya a href mailto mesutpiskin outlook com e posta a bilgilerini kullanabilirsiniz te ekk rler g r nt leme ve bilgisayarl g r k lavuzu opencv ile bilgisayarl g r ve g r nt i leme e itim dok man ile birlikte g r nt i leme algoritmalar n renecek yeri geldi inde ise java python c javascript opencv js matlab ve c emgucv programlama dilleri kullanarak rnek uygulamalar geli tirece iz bu e itim bilgisayarl g r n n temellerini anlayabilmenizi ve opencv ile bilgisayarl g r uygulamalar geli tirebilmenizi ama lamaktad r python java ve c rnekleri ile desteklenmektedir bu dok man daha nce g r nt i leme ile u ra mam bu konuda bilgisi olmayanlara ve tam aksine bu konuda bilgili kendinisini farkl konularda geli tirmek isteyen herkese hitap edecek ekilde haz rlanm t r temel tan mlardan ba lanarak bir ok kavram ve algoritma ele al nm t r rnek projelere a href code code a dizininden e itim konular na ise a href docs docs a dizini alt ndan ula abilirsiniz ayr ca dok mantasyon i erisinde kullan lan ngilizce terimlerin t rk e kar l klar n n yer ald a href docs terimler md terimler a sayfas na konu ile alakal nerilen tavsiye i eriklere ise a href other tavsiye icerikler md tavsiye icerik a sayfas ndan ula abilirsiniz p align center img src other banner png p dok mantasyon b l m zet opencv nedir docs 1 opencv nedir md opencv nin tarihi ve bile enleri alternatif g r nt i leme k t phaneleri neden opencv opencv 2 vs opencv 3 ve opencv 4 ile gelecek yenilikler geli tirme ortam ve platformlar docs 2 gelistirme ortamlari md hangi platform ve geli tirme ortam se ilmeli g r nt i leme i in neden java c ve python kullan l yor opencv wrappers docs 3 opencv wrappers md wrapper nedir emgucv javacv livecv rubycv nedir ve wrapperlar aras farklar nelerdir kurulum ve derleme docs 4 opencv kurulumlar md windows linux macos ve raspberry pi i in opencv kurulumu ide yap land rmas docs 5 ide yapilandirmasi md eclipse netbeans android studio ve intelij idea i in yap land rma ayarlar giri ve temel kavramlar docs 6 giris temel kavramlar md g r nt i leme kavramlar dosyadan kameradan ip kameradan g r nt okuma kamera parametrelerini de i tirme video kaydediciler ve kod z c ler docs 7 video kaydediciler codec md codec fourcc ve video kaydetme g r nt manip lasyonu docs 8 goruntu manipulasyonu md piksel man p lasyonu geometrik izimler ve geometrik d n mler renk uzaylar ve histogram docs 9 renk uzaylari md temel renk uzaylar renk uzaylar aras d n m histogram kavram ve histogram e itleme morfolojik g r nt i leme docs 10 morfolojik goruntu isleme md morfolojik operat rler ve e ikleme erosion dilation closing gradyan thresholding filtreler ve kenar belirleme docs 11 filtreler ve kenar belirleme md filtreleme ve kenar belirleme algoritmalar blur sobel laplace canny arkaplan karma docs 12 arka plan cikarma md absdiff mog mog2 ve gmg algoritmalar kullanarak 2d g r nt arkaplan kar m nesne tespiti ve nesne tan ma docs 14 nesne tespiti md nesne tespit s re leri ve algoritmalar haarcascade templatematching dnn cnn svm makine renmesi ve derin renme algoritmalar znitelik ve znitelik kar m docs 19 oznitelik cikarimi md znitelik tan m nesne tespiti i in znitelik karm ve znitelik e le tirme brute force flann surf sift brief orb fast algoritmalar video analiz ve nesne takibi docs 13 video analiz md mean shift cam shift optik ak goturn boosting mil cnn vb algoritmalar ile video zerinde nesne veya alan takibi g r nt bozulmalar ve stereo g r docs 15 kamera kalibrasyonu ve 3d goru md g r nt bozulmalar ve kamera kalibrasyonu 3d g r nt ler derinlik kestirimi stereoscopic vision ve stereo g r nt i leme y z tan ma docs 17 yuz tanima md y z tan ma nedir eigenfaces fisherfaces lbph ve makine renmesi algoritmalar ile y z tan ma farkl k t phane entegrasyonlar dlib tensorflow ve face recognition optik karakter tan ma ocr docs 18 optik karakter tanima md g r nt zerindeki metnin tespit edilmesi ocr s re leri algoritmalar ve k t phaneler tesseract textocr gpu ve paralel hesaplama cuda mod l ile nvidia gpu zerinde paralelle tirilmi bilgisayarl g r uygulamalar geli tirme opencv mobil android ve ios i letim sistemine sahip mobil cihazlar zerinde bilgisayarl g r ve g r nt i leme art r lm ger eklik 3d modelleri kamera arac l yla elde edilmi ger ek d nya g r nt s zerine giydirme opencv ve opengl entegrasyonu nteraktif bilgisayarl g r uygulamas geli tirme rnek projeler table style width 100 tbody tr td strong nbsp konu strong td td strong nbsp python strong td td strong nbsp java strong td td strong nbsp c strong td td strong c strong td td strong javascript strong td tr tr td video i o td td ul li a href code kamera io python video io py video ve kamera giri k a li li a href code kamera io python video kaydet py video kaydetme a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td g r nt manip lasyonu td td ul li a href code goruntu manipulasyonu python geometrik sekiller py geometrik ekil izme a li li a href code goruntu manipulasyonu python goruntu kirpma py g r nt k rpma a li li a href code goruntu manipulasyonu python piksel manupulasyonu py piksel manip lasyonu a li li a href code goruntu manipulasyonu python yeniden boyutlandirma py g r nt boyutland rma a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td renk uzaylar td td ul li a href code renk uzaylari python renk uzayi donusumu py renk uzay d n m a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td morfolojik g ouml r nt leme td td ul li a href code morfolojik goruntu isleme python acinim opening py a n m opening a li li a href code morfolojik goruntu isleme python kapanim closing py kapan m closing a li li a href code morfolojik goruntu isleme python genisletme dilation py genisletme dilation a li li a href code morfolojik goruntu isleme python gradient py gradyan gradient a li li a href code morfolojik goruntu isleme python asindirme erozyon py a nd rma erosion a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td nbsp filtreler td td ul li a href code filtreleme python guasian py guassian a li li a href code filtreleme python sobel py sobel a li li a href code filtreleme python laplacian sobel py laplacian amp sobel a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td nbsp kenar karma td td ul li a href code kenar belirleme python canny py canny a li li a href code kenar belirleme python kenar belirleme toplu py gaussianblur amp canny amp sobel amp nbsp prewitt a li ul td td nbsp td td nbsp td td nbsp td td ul li a href code kenar belirleme javascript edge detector html canny a li ul td tr tr td arka plan karma td td ul li a href code arkaplan cikarma python absdif py absdiff a li li a href code arkaplan cikarma python background subtractor gmg py backgroundsubtractormog mog2 gmg a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td video analiz ve nesne takibi td td ul li a href code video analiz python meanshift py meanshift a li li a href code video analiz python camshift py camshift a li ul td td ul li a href https github com mesutpiskin opencv object detection tree master src colorbasedobjecttracker renk tabanl nesne takibi a li ul td td nbsp td td nbsp td td nbsp td tr tr td nesne tespiti ve nesne tan ma td td ul li a href code nesne tespit ve tanima python template matching py template matching a li li a href code nesne tespit ve tanima python derin sinir agi py derin sinir a dnn ile nesne tan ma a li li a href code nesne tespit ve tanima python haar cascade py haarcascade classifier ile y z tespiti a li ul td td ul li a href code nesne tespit ve tanima java templatematching java template matching ile nesne tan ma a li li a href https github com mesutpiskin opencv object detection tree master src deepneuralnetwork derin sinir a dnn ile nesne tan ma a li li a href code nesne tespit ve tanima java detectface java haarcascade classifier ile y z tespiti a li ul td td nbsp td td nbsp td td nbsp td tr tr td znitelik kar m td td nbsp td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td kamera kalibrasyonu ve 3d g r td td ul li a href code kamera kalibrasyon 3d goru python fisheye lens duzeltme py bal k g z fisheye g r nt d zeltme a li li a href code kamera kalibrasyon 3d goru python kamera kalibrasyonu py kamera kalibrasyonu a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td makine renmesi ve derin renme td td ul li a href code yuz tanima python dnn yuz tespiti derin sinir a dnn ile y z tespiti a li ul td td ul li a href https github com mesutpiskin genderclassification derin sinir a dnn ile cinsiyet tespiti a li ul td td nbsp td td nbsp td td nbsp td tr tr td y z tan ma td td ul li a href code yuz tanima python facerecognition kutuphanesi facerecognition kullanarak y z tan ma a li li a href code yuz tanima python facenet facenet ile y z tan ma a li ul td td nbsp td td nbsp td td ul li a href https github com mesutpiskin face detection and recognition eigenfaces ve fisherfaces ile y z tan ma a li ul td td nbsp td tr tr td optik karakter tan ma ocr td td ul li a href code optik karakter tanima ocr python tesseract python tesseract ile ocr a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td gpu ve paralel hesaplama td td nbsp td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td opencv mobil td td nbsp td td nbsp td td nbsp td td nbsp td td nbsp td tr tr td artt r lm ger eklik ve g r nt harmanlama td td ul li a href code arttirilmis gerceklik python sapka filtresi apka filtresi y z tespiti ve apka giydirme a li ul td td nbsp td td nbsp td td nbsp td td nbsp td tr tbody table destek katk da bulunmay d nmeniz ger ekten ok g zel bir haber bunun i in destek contributing md ba lant s na g z atabilirsiniz soru cevap dok manlar kaynak kodlar veya her hangi bir konuda ki sorular n z issues b l m n kullanarak sorabilirsiniz new issues soru cevaplamak veya daha ncekilere g z atmak isterseniz yine bu b l m kullanabilirsiniz nas l soru sorulur ncelikle issues https github com mesutpiskin opencv tutorial issues b l m ne gidiniz sayfan n sa nda yer alan new issues butonuna t klay n a lan ilgili b l me sorunuzu veya talebinizi a klay c bir ekilde yazarak submit new issues butonu arac l yla kaydedin lisans bu proje i erisinde yer alan dok man ve kaynak kodlar mit lisans license ile lisanslanm t r eri in kaynak g sterilmeden kullan lmas durumunda bu ki iler kurumlar bu b l mde other blacklist md payla lacakt r | opencv goruntu-isleme computer-vision image-processing machine-learning face-recognition object-detection optical-character-recognition deep-neural-networks deep-learning feature-extraction image-preprocessing image-filtering image-classification stereo-vision camera-calibration background-subtraction | ai |
parade-ara-simulator | introduction parade is a cycle accurate full system simulation platform for accelerator rich architectural design and exploration it extends the widely used gem5 simulator with high level synthesis hls support if you use parade in your research please cite our iccad 15 paper jason cong zhenman fang michael gill glenn reinman parade a cycle accurate full system simulation platform for accelerator rich architectural design and exploration ieee acm international conference on computer aided design iccad 2015 austin tx usa november 2015 a pdf version of this manual is also available in doc parade manual pdf download parade git clone https github com cdsc github parade ara simulator git setup requirements 1 currently parade has been tested on two 64 bit platforms centos release 6 6 final and centos release 6 5 final 2 tools to build parade mostly required by gem5 gcc 4 8 0 to build parade python 2 6 6 scons 1 3 1 swig 2 0 9 protobuf 2 5 0 3 gcc 4 1 2 to build benchmarks note the linux os that parade simulates needs an older gcc version 4 mono 2 10 9 to execute c programs our automatic accelerator and application generators are written in c some post processing tools are also written in c build parade let s assume you are in the home directory parade home of the checked out parade code 1 build cpu version disable the sim dedicated ara macro in all three files src mem ruby profiler profiler cc src mem ruby system system cc and src sim simulate cc build gem5 sh note that current parade release disabled visualization support though the cache protocol name is mesi two level trace cp build x86 gem5 opt parade test backup the built cpu version 2 build ara version enable the sim dedicated ara macro in all three files src mem ruby profiler profiler cc src mem ruby system system cc and src sim simulate cc accelerators can be configured using the acc types and num accinstances options acc types specifies the accelerator types to be instantiated in the simulated architecture string type in the form of acc acc is accepted such as deblur and deblur denoise num accinstances denotes the number of copies of each accelerator type build gem5 sh cp build x86 gem5 opt parade test gem5 ara opt build benchmarks before you start please download the disk image and linux binaries from http www sfu ca zhenman software html parade decompress it and move the folders to parade home and finally export m5 path parade home we have prebuilt all the benchmarks used in the iccad 15 paper if you want to build the benchmarks by your own cd benchmarks make note it needs an older gcc version e g gcc 4 1 2 mount the disk image needs root just check mount sh and adapt to your own path copy the compiled binary to the corresponding benchmark directory of the mounted image umount the disk image run benchmarks on parade we use the well known three stage simulation methodology to reduce the simulation time stage 1 checkpoint the os booting using atomic mode stage 2 warmup the cache memory system for application initialization using timing mode stage 3 simulate the region of interests roi i e accelerator part using detailed mode let s still use the blackscholes example for demonstration 1 checkpoint run checkpoint sh cp r x86 out cpt 5176168078500 parade test ckpt 1core backup the checkpoint 2 warmup edit run dedicated ara begin sh comment all benchmarks except blackscholes run dedicated ara begin sh backup sh tdlca begin backup the simulation results 3 roi simulation edit run dedicated ara ooo sh comment all benchmarks except blackscholes note that there are three places to comment benchs num accelerators and warmup vi parade tdlca begin tdlca blackscholes stats txt get the number of sim insts and update it to the warmup in run dedicated ara ooo sh run dedicated ara ooo sh backup sh tdlca ooo 4 change benchmark input size edit configs boot blackscholes td rcs currently we wrap up the benchmarks running using a multi program wrapper bench out in the simulated disk image so that we can easily support multi program simulation users only need to type the command in the rcs file to the wrapper for example tdlca blackscholes 0 262144 means it runs tdlca blackscholes on core 0 with input size as 262144 you can type multiple commands separate each command use n to run multi program for example tdlca blackscholes 0 262144 n tdlca blackscholes 1 262144 5 change simulation configuration for ara we add lcacc and users can specify how many accelerators are used with the flag accelerators 1 all other configurations are the same as the original gem5 please check our isca 15 tutorial and the gem5 website interpret simulation results 1 overall performance get stats sh tdlca ooo for ara get stats sh sw ooo for sw 2 breakdown performance get acc stats sh tdlca ooo for ara mono araresultparser exe parade tdlca ooo tdlca blackscholes result txt for ara computation read write breakdown it will generate a csv file get sw breakdown sh sw ooo for sw 3 power breakdown for cpu core and cache generate mcpat xml sh tdlca ooo and then generate mcpat energy sh tdlca ooo for noc generate dsent sh tdlca ooo for dram it s integrated with gem5 in stats txt you don t have to do anything finally get all results together get energy stats sh tdlca ooo further reading for high level overview of parade please read our iccad 15 paper and isca 15 tutorial slides http accelerator eecs harvard edu isca15tutorial slides isca2015 tutorial parade pdf our isca 15 tutorial also introduces how to add users own accelerator and applications that use those accelerators check the benchmarks programgeneration directory it has the type file needed for accelerator generation and txt file for application generation and buildprogs sh now you are ready to go hack the code and have fun some claims we would like to thank the open source gem5 community and all center for domain specific computing cdsc members at ucla who contribute to parade current parade release mainly supports the simulation of dedicated ara as presented in the iccad 15 paper we didn t release the composable ara version or the visualization tool since they are still under testing in addition we cannot open source the autopilot high level synthesis hls tool due to the license issue but we release all the accelerators used in the iccad 15 paper users can use their own tools to get the detailed timing info such as pipeline ii clock area and power once these numbers are given users can integrate their own accelerators into parade for system level design and evaluation zhenman fang postdoctoral researcher center for domain specific computing ucla email zhenman cs ucla edu website http www sfu ca zhenman bitdeli badge https d2weczhvl823v0 cloudfront net cdsc github parade ara simulator trend png https bitdeli com free bitdeli badge | os |
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WDX-180 | wdx 180 web development x a course made with love by intechgration io assets wdx header jpg https in tech gration github io wdx 180 web development x 180 about details open markdown 1 summary h3 about h3 summary this is web development x 180 an introductory course to the web and related technologies such as html css and javascript split into 180 days the wdx 180 curriculum along with all related material exercises code etc is and will always be free and open source under the gplv3 license you can find the syllabus here curriculum index md details where do i start details markdown 1 summary h3 where do i start h3 summary if you are ready and feel committed enough to start the course you must start by carefully going through the following sections and completing all the necessary tasks accounts setup communication hardware requirements software getting familiar with data formats how to study productivity tips don t forget to open the faq page curriculum faq index md target blank that accompanies the setup process in a new tab and check for relevant questions and their respective responses as you go through the next steps details accounts details markdown 1 summary h3 accounts h3 summary in order to attend the course and become a professional web developer you will need to open an account in the following services google gmail https www google com gmail about target blank github https github com target blank stackoverflow https stackoverflow com target blank codesandbox https codesandbox io target blank sli do used during our q as https www slido com target blank details setup details markdown 1 summary h3 setup h3 summary the first thing you want to do is to fork https docs github com en get started quickstart fork a repo target blank this repository under your github account after you ve successfully forked the repo you will need to enable github pages https pages github com target blank in order to turn the repo into a website also here are the steps 1 go to settings 2 click on the pages button 3 under branch select main and click save 4 wait a few minutes check that your repo is online and paste the url on your personal progress sheet the url should look something like this https your username github io wdx 180 here is a youtube video walkthrough https www youtube com watch v xqglwahjtcm target blank to help you with this step while you are at the settings page select general on the side menu and go to features check issues save in order to enable the issues feature on your forked repo assets github enable issues jpg assets github enable issues jpg target blank click the image to see a full size version details communication details markdown 1 summary h3 communication h3 summary our main channel of communication is slack https intechgration slack com target blank if you haven t received an invitation to the intechgration slack team please inform us via email we encourage you to use the web version https slack com signin signin target blank of slack on your pc laptop and also have it installed on your smartphone it s available for both android https play google com store apps details id com slack target blank and ios https apps apple com app slack app id618783545 ls 1 target blank devices in order to learn more about slack and the various versions mobile desktop web scroll down to the software software section enrolled students also have the opportunity to schedule one 30 45min call each week with an instructor details hardware requirements details markdown 1 summary h3 hardware requirements h3 summary in order to attend the course you will need the following attending in person notebook for note taking attending remotely a computer with camera microphone and speakers or headphones notebook for note taking details software details markdown 1 summary h3 id software software h3 summary this is a list of software you must have installed on your system in order to get started with the course communication slack https slack com target blank is our main communication tool web version recommended https slack com signin signin target blank mobile version recommended android https play google com store apps details id com slack target blank ios https apps apple com app slack app id618783545 ls 1 target blank desktop version windows https slack com downloads windows target blank 109mb mac https slack com downloads mac target blank 160mb linux beta https slack com downloads linux target blank 81mb communication zoom client https zoom us support download target blank and google meet https meet google com are used to attend the live lectures and student sessions you can do a quick video audio check for google meet following the directions found here https support google com meet answer 10409699 hl en target blank video is optional but audio good quality microphone is mandatory browser s chrome https www google com chrome target blank windows mac 212mb linux 90mb firefox https www mozilla org en us firefox target blank windows 55mb mac 115mb linux 76mb note during the course we recommend using chrome for developing and debugging frontend web applications for daily normal usage we recommend using browsers that respect the privacy of their users such as firefox and brave https brave com download target blank likewise we tend to google a lot for technical issues and searching for resources but we recommend using an alternative search engine such as duckduckgo https duckduckgo com target blank for personal use code editor download and install visual studio code https code visualstudio com target blank windows 88mb mac 203mb linux 82mb extensions for vscode throughout the course we will be recommending a variety of vscode extensions that can be installed and extend the functionality of the code editor and boost our productivity one of the first extensions that must be installed is the live server https marketplace visualstudio com items itemname ritwickdey liveserver target blank another one is the live share https marketplace visualstudio com items itemname ms vsliveshare vsliveshare target blank which allows for real time collaboration more to follow last but not least you want to install our very own wdx extension pack https marketplace visualstudio com items itemname kostasx vscode wdx extension pack target blank which comes packed with recommended extensions and snippets that will you study and code better git mandatory version control https www atlassian com git tutorials what is version control target blank software for the professional developer download here https git scm com downloads target blank windows users will also need to run the following command after installing git git config global core autocrlf true as mentioned here https docs github com en get started getting started with git configuring git to handle line endings platform windows global settings for line endings target blank in order to check that git has been installed on your system you will need to run one of the following commands in the terminal git version git v for short command line tools terminal windows you will use gitbash https www atlassian com git tutorials git bash target blank which is bundled along with git so you don t need to install anything if you already have git installed as your unix style command line environment linux already includes built in unix command line terminals no need to install macos already includes built in unix command line terminals no need to install you will need to install homebrew https brew sh target blank at this point it s probably a good idea to spend a few minutes watching this youtube video walkthrough https youtu be s9qg3ltf c target blank and follow along in order to create your ssh keys and connect them with github then follow the rest of the instructions to clone download the repository to your computer and install all the necessary dependencies node js download the lts version of the powerful and popular javascript running environment here https nodejs org en target blank you are going to be using node js a lot during this course in order to check that node js has been installed on your system you will need to run one of the following commands in the terminal node version node v for short productivity wikiwand the wikipedia reader https www wikiwand com target blank install as a browser extension as you will be reading a lot and we mean it of wikipedia articles throughout the course we highly recommend that you use this awesome browser extension to enhance the wikipedia experience in a sentence this is wikipedia on steroids photopea https www photopea com target blank a free online image editing software that s pretty similar to adobe photoshop you can use this tool to resize crop or compress images among other things details data formats details markdown 1 summary h3 getting familiar with data formats h3 summary in this course we will be working a lot with markdown files and csv files markdown is a lightweight markup language used for formatting plain text documents allowing users to easily add structure and style using simple human readable syntax csv comma separated values is a simple file format used for storing and exchanging structured data where each line represents a record or entry and fields or columns within each record are separated by commas if you are unfamiliar with either the markdown or csv file formats we highly recommend that you watch the following 2 youtube videos to get a better understanding what is markdown https www youtube com watch v f49ljv1i w target blank duration 8 min level beginner understanding csv files https www youtube com watch v uoftplcvkyi target blank duration 6 min level beginner you can find the sample csv file mentioned in the video in the following filepath curriculum week01 resources sample csv curriculum week01 resources sample csv in short csv is a lightweight data format where each line of text is a single row fields columns are separated by comma delimiter character the file contains just the data itself along with the delimiter does not need any special software it s just a plain text file all spreadsheet apps ms excel google sheets numbers etc can read and write csv details syllabus details markdown 1 summary h3 syllabus h3 summary you can find the syllabus here curriculum index md syllabus details how to study productivity tips details markdown 1 summary h3 how to study productivity tips h3 summary avoid distractions at all costs this means closing all tabs browser windows and applications that are not related to your daily study plan and practice be very vigilant against applications that include notifications whatsapp messenger etc from time to time you might even consider pausing notifications from slack itself check the instructions found here https slack com help articles 214908388 pause notifications with do not disturb target blank on how to do this go the extra mile and go through the extra resources section that accompanies most of the chapters in this curriculum i m stuck don t worry here are some tips to help you overcome what s blocking you i don t really understand this concept what should i do search for extra information and resources online found something useful that helped you make sure to share it we highly recommend that you always include mdn https developer mozilla org en us target blank in your searches for concepts related to web technologies you can google by including the mdn keyword in your searches to find relevant pages in the mdn documentation e g css position sticky mdn or you can narrow and limit your searches only within the mdn documentation pages by googling using the site operator e g css position sticky site developer mozilla org other channels for searching extra information include youtube https www youtube com target blank stackoverflow https stackoverflow com target blank and other resources productivity md where to look for information target blank give yourself a break and try it again in a few minutes hours days reach out to other students on slack https intechgration slack com target blank keep notes in order to discuss this during an upcoming support q a session my code is not working as expected what should i do use the rubber duck technique https en wikipedia org wiki rubber duck debugging target blank hungry for more tips we have a whole section full of productivity and learning tips right here resources productivity md target blank details finished setting everything up let s get started curriculum index md who s involved sohail haqyar co founder https www linkedin com in sohail haqyar abed hamami co founder course instructor https www linkedin com in abedhamami kostas minaidis technical curriculum developer https www linkedin com in kostas minaidis asteris giannoudis software development content curator accessibility consultant https www linkedin com in asteris giannoudis gogi a hatzichristos content curator passionate contributor https www linkedin com in gogi hatzichristos maria barkouzou content curator passionate contributor https www linkedin com in mariabarkouzou shariar shakhawat content curator passionate contributor https www linkedin com in shariar shakhawat vangelis chirmpilidis content curator passionate contributor https github com vagelisx mary richelle content curator passionate contributor https github com maryrichelle evan cole educational advisor https www linkedin com in evan cole yoshi malaise educational advisor https www linkedin com in yoshi malaise how about you contribute the curriculum draws heavily on the following amazing resources mozilla developer network https developer mozilla org en us codeyourfuture https codeyourfuture io about codecademy https www codecademy com javascript info by ilya kantor https www linkedin com in iliakan kyle simpson aka getify author of you don t know js https www linkedin com in getify dave gray https www linkedin com in davidagray ruby monstas https rubymonstas org side projects vscode wdx extension pack https marketplace visualstudio com items itemname kostasx vscode wdx extension pack a vscode extension that comes packed with recommended extensions and snippets that will help students study and code better contribute spotted a broken link found a typo have an idea on how to improve the course how about mentoring reach out to us https github com in tech gration wdx intro discussions our lovely contributors feel free to give them a follow subscribe like as a gesture of appreciation shariar shakhawat github https github com sha shak twitter https twitter com shahriartweets | front_end |
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ai-driven-social-media-dashboard | ai driven social media dashboard voice of customer analytics through social media build a social media dashboard using artificial intelligence and business intelligence services organizations want to understand how customers perceive them and who those customers are for example what factors are driving the most positive and negative experiences for their offerings social media interactions between organizations and customers are a great way to evaluate this and deepen brand awareness understanding these conversations are a low cost way to acquire leads improve website traffic develop customer relationships and improve customer service since these conversations are all in unstructured text format it is difficult to scale the analysis and get the full picture os python environment setup bash sudo apt get update sudo apt get install zip sed wget y building lambda package bash cd deployment build s3 dist sh source bucket base name version source bucket base name should be the base name for the s3 bucket location where the template will source the lambda code from the template will append region name to this value version should be a version s3 key prefix for example build s3 dist sh solutions v1 0 the template will then expect the source code to be located in the solutions region name ai driven social media dashboard v1 0 cf template and lambda function located in deployment dist copyright 2019 amazon com inc or its affiliates all rights reserved licensed under the amazon software license the license you may not use this file except in compliance with the license a copy of the license is located at http aws amazon com asl or in the license file accompanying this file this file is distributed on an as is basis without warranties or conditions of any kind express or implied see the license for the specific language governing permissions and limitations under the license | ai |
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udagram | udagram image filtering microservice udagram is a simple cloud application developed alongside the udacity cloud engineering nanodegree it allows users to register and log into a web client post photos to the feed and process photos using an image filtering microservice the project is split into three parts 1 the simple frontend https github com udacity cloud developer tree master course 02 exercises udacity c2 frontend a basic ionic client web application which consumes the restapi backend covered in the course 2 the restapi backend https github com udacity cloud developer tree master course 02 exercises udacity c2 restapi a node express server which can be deployed to a cloud service covered in the course 3 the image filtering microservice https github com udacity cloud developer tree master course 02 project image filter starter code the final project for the course it is a node express application which runs a simple script to process images your assignment tasks setup node environment you ll need to create a new node server open a new terminal within the project directory and run 1 initialize a new project npm i 2 run the development server with npm run dev create a new endpoint in the server ts file the starter code has a task for you to complete an endpoint in src server ts which uses query parameter to download an image from a public url filter the image and return the result we ve included a few helper functions to handle some of these concepts and we re importing it for you at the top of the src server ts file typescript import filterimagefromurl deletelocalfiles from util util deploying your system follow the process described in the course to eb init a new application and eb create a new environment to deploy your image filter service don t forget you can use eb deploy to push changes stand out optional refactor the course restapi if you re feeling up to it refactor the course restapi to make a request to your newly provisioned image server authentication prevent requests without valid authentication headers note if you choose to submit this make sure to add the token to the postman collection and export the postman collection file to your submission so we can review custom domain name add your own domain name and have it point to the running services try adding a subdomain name to point to the processing server note domain names are not included in aws free tier and will incur a cost elastic beanstalk url url http udagram makena us east 1 elasticbeanstalk com filtered image example http udagram makena us east 1 elasticbeanstalk com filteredimage image url https images pexels com photos 104827 cat pet animal domestic 104827 jpeg auto compress cs tinysrgb w 800 | cloud |
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youtube-dl-gui | donations badge https yourdonation rocks images badge svg https mrs0m30n3 github io youtube dl gui donate html youtube dlg a cross platform front end gui of the popular youtube dl https rg3 github io youtube dl media downloader written in wxpython supported sites https rg3 github io youtube dl supportedsites html screenshots youtube dl gui main window https raw githubusercontent com mrs0m30n3 youtube dl gui gh pages images ydlg ui gif requirements python 2 7 3 https www python org downloads wxpython 3 https wxpython org download php twodict https pypi python org pypi twodict gnu gettext https www gnu org software gettext to build the package ffmpeg https ffmpeg org download html optional to post process video files downloads source zip https github com mrs0m30n3 youtube dl gui archive 0 4 zip source tar gz https github com mrs0m30n3 youtube dl gui archive 0 4 tar gz pypi https pypi python org pypi youtube dlg 0 4 ubuntu ppa http ppa launchpad net nilarimogard webupd8 ubuntu pool main y youtube dlg arch aur https aur archlinux org packages youtube dl gui git slackware slackbuild https slackbuilds org repository 14 2 network youtube dl gui opensuse https software opensuse org package youtube dl gui windows installer https github com mrs0m30n3 youtube dl gui releases download 0 4 youtube dl gui 0 4 win setup zip windows portable https github com mrs0m30n3 youtube dl gui releases download 0 4 youtube dl gui 0 4 win portable zip installation install from source 1 download extract the source 2 change directory into youtube dl gui 0 4 3 run python setup py install install pypi 1 run pip install youtube dlg install windows installer 1 download extract the windows installer 2 run the setup exe file contributing add support for new language see localization howto docs localization howto md report a bug see issues https github com mrs0m30n3 youtube dl gui issues authors see authors authors file license the public domain license license frequently asked questions see faqs docs faqs md file thanks thanks to everyone who contributed to this project and to philipzae https github com philipzae for designing the new ui layout | youtube-dl python wxpython gui cross-platform youtube-dlg downloader video video-downloader linux windows youtube-dl-gui pypi youtube | front_end |
Instrumented-glove-for-fingers-movement-tracking | instrumented glove for fingers movement tracking design a pcb for inertial sensors system that embedded into gloves to track the fingers movement with high accuracy and high real time response invensense https www invensense com products motion tracking 9 axis icm 20948 stm32 nucleo l476rg https os mbed com platforms st nucleo l476rg challenges design a smallest pcb for every sensor unit and consider how to connect every sensors which allocated in every finger joints it also should care wear comfortable and low in cost step 1 design the schematic based on the 9 axis mpu and the microcontroller completed the design of mpu 9250 schematic and pcb ziqin div align center img width 65 height 45 src https github com biwa1400 instrumented glove for fingers movement tracking blob master footprint ziqin pcb 20 png div div align center img width 650 height 450 src https github com biwa1400 instrumented glove for fingers movement tracking blob master footprint ziqin schematic 20 20 png div completed the design of finger part schematic ziqin div align center img width 750 height 350 src https github com biwa1400 instrumented glove for fingers movement tracking blob master footprint ziqin mpu 9250 fingerpart png div | os |
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DotnetPrompt | image docs images logo png tests https github com xakpc dotnetprompt actions workflows dotnet yml badge svg https github com xakpc dotnetprompt actions workflows dotnet yml docs https github com xakpc dotnetprompt actions workflows docs yml badge svg https github com xakpc dotnetprompt actions workflows docs yml license apache 2 0 https img shields io github license xakpc dotnetprompt dotnetprompt https img shields io twitter follow dotnetprompt style social https twitter com dotnetprompt quick start dotnetprompt is a dotnet library that provides tools for working with large language models llms individually and combined in chains our library helps you integrate llms with other tools and resources to create powerful ai applications to get started add nuget meta package ps dotnet add package dotnetprompt all version 1 0 0 alpha 2 for example let s say we want to create a modelchain that takes user message formats it with a prompttemplate and sends it to an chatgpt llm to generate funny responses to the message this allows us to generate a response based on the user s input note for that example to work you would need openai api key csharp var llm new chatgptmodel constants openaikey chatgptmodelconfiguration default with temperature 0 9f var oneinputprompt new prompttemplate what s a funny response to message var chain new modelchain oneinputprompt llm var executor chain getexecutor now we can run that chain only specifying input value csharp var result await executor promptasync i have some exciting news to share with you console writeline result text i hope it s not that you finally learned how to tie your shoes because that s not that exciting or with another input csharp var result2 await executor promptasync want to grab lunch later console writeline result2 text i would but i m on a seefood diet i see food and i eat it so better not tempt me what is this welcome to our library which is designed to support the development of cutting edge applications powered by large language models llms in dotnet as you may know llms are an exciting and rapidly evolving technology that offers developers unprecedented natural language processing and generation capabilities however llms can achieve their full potential when used in conjunction with other sources of computation or knowledge some examples of solutions that you could create using our library include summarization question answering code generation chatbots and much more documentation please see the full documentation https xakpc github io dotnetprompt index html on getting started installation setting up the environment simple examples how to examples demos integrations helper functions reference full api docs resources high level explanation of core concepts important milestones we are actively developing this library while it already has a lot of useful funtionalty much more would be introduced in the future porting tiktoken and huggingface tokenizers to support more models currently there is a partial support streaming using signalr maybe vectordb support context window management ml net agents chains integrations is there anything good more end to end examples a full roadmap is availible here roadmap md contributing to dotnetprompt we welcome contributions to dotnetprompt to ensure that your contributions are effective and easy to incorporate please follow these guidelines contributing md | csharp dotnet sdk chatgpt gpt-3 gpt3-prompts openai openai-api | ai |
RC-XD | rc xd capstone project for embedded microprocessor system design course partners grant smith sreenivas krishna nair valente arroyo akash chinthamani this is my capstone project for the final semester at the university of wisconsin madison this project uses c code with a hardware abstraction layer cypress cyhal that is running on a psoc6 the psoc6 is a microprocessor that has many features we were tasked with designing pcb s assemblying coding debugging and testing our product we used altium designer and eclipse ide for modustoolbox for this project heavily the project itself is a app controlled car platform that can take on many hardware modules to change its funcitonality this car platform comes with a live camera feed gps crash detection automatic headlights and a designated app for control for our final demo we decided to equip the bot with a turret that shot water pellets originally this repo was on a partners account which i have transeferred here the working files that live here include presentations writeup reports altium schematics and pcb docs c code python opencv code and kotlin code files a project demo can be found following this link https www youtube com watch v nho1yes jxg ab channel grantsmith | os |
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oceanbase-design | oceanbase design https design oceanbase com is an enterprise class design system based on ant design https ant design and extending it help oceanbase ecology and designers developers building professional products documentation https design oceanbase com https design oceanbase com usage oceanbase design https design oceanbase com docs design introduce oceanbase ui https design oceanbase com docs ui introduce oceanbase icons https design oceanbase com components icon oceanbase charts https design oceanbase com docs charts introduce oceanbase util https github com oceanbase oceanbase design tree master packages util oceanbase codemod https github com oceanbase oceanbase design tree master packages codemod development use gitpod a free online dev environment for github open in gitpod https gitpod io button open in gitpod svg https gitpod io https github com oceanbase oceanbase design or clone locally bash git clone git github com oceanbase oceanbase design git cd design npm install g pnpm pnpm install pnpm run start open your browser and visit http 127 0 0 1 8000 links ant design https ant design ant design pro components https procomponents ant design ant design charts https charts ant design license mit oceanbase https github com oceanbase | design-system oceanbase react typescript ui-kit ui-library oceanbase-design | os |
mkernel | about about mkernel is embedded rtos based on microkernel architecture it s designed for arm microprocessors however can be easily ported to any 32bit mcu features bsd license royalty free open source tickless for system scheduling used 1 hpet timer and rtc if rtc is unavailable another hpet timer can be used for rtc emulation with full rtc functionality hardware abstraction rtos is providing common interface for drivers standart microkernel syncronization mutexes events semaphores queues nested mutex priority inheritance embedded dynamic memory manager with ability of nested memory pools for threads dedicated system pool aligned malloc calls inside of any pools safe and mpu ready all supervisor specific calls are wrapped around swi svc calls for context rising embedded libraries printf sprintf around 1k of code time routines posix light single linked list double linked list ring buffer block ring buffer random number generation hardware if supported or software error handling kill thread on system error print error if configured restart system on critical error memory dump if configured handle error exceptions decode address if supported and exception code lot of debug features memory dumps object marks thread profiling name uptime stack allocated current used memory profiling red markings pool free allocated size objects fragmentation stack profiling supervisor allocated current used plus for arm7 irq fiq abt configurable debug console supported hardware arm7 cortex m3 drivers for stm32 f2 gpio uart rcc timer dma rand cortex m3 features native svc and pendsv support arm7 features nested interrupts fiq support pendsv emulation when returning to user system context history 0 1 5 sd card module stm32f2 usb core module stm32f2 usb device module stm32f2 scsi block module usb mass storage class 0 1 4 new module software timers running in independent thread keyboard module new functions keyboard wait for key keyboard has messages exception handling improved detection of caller context sys thread instruction address caused problem if thread context thread will be terminated if sys system will be restarted svc call while interrupts are disabled error decoded and processed instead of general hard fault configurable option to halt system on fatal error instead of rebooting 0 1 3 pin keyboard module with debounce logic sys alloc sys alloc aligned sys free now supported in sys context push method for debug console 0 1 2 added examples for stm32 f2 optimized software rand renamed all s to s 0 1 1 added support of software random number generation added support for stm32 f2 hw rng srand by default in startup contacts author alexey kramarenko alexeyk13 yandex ru | os |
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LogicalVision2 | logicalvision2 symbolic computer vision tool with swi prolog and opencv requirement 1 swi prolog 7 0 compiled with extra pkgs clib and multi threading enabled better using swipl devel https github com swi prolog swipl devel 2 opencv4 if you installed it with pacman s opencv under archlinux please also install vtk package 3 armadillo library for matrix handling 4 machine learning library mlpack https github com mlpack mlpack 5 optional qt5 if you want a moderner opencv displaying complile your opencv with qt option on compile cd src make j nproc usage after compilation you will get cvio so cvdraw so cvsampler so cvstats so in libs folder simply load them in swi prolog with prolog load foreign library foreign libs cvio so load foreign library foreign libs cvsampler so load foreign library foreign libs cvdraw so load foreign library foreign libs cvstats so please see the source codes for detail predicates example the first example is about video i o prolog load foreign library foreign libs cvio so load video data protist mp4 a showvid win a debug during video playing press esc to quit any other key to pause the second example learns ambiguity from a crater image prolog cd src learning swipl ambiguity pl a if the code is built you should firstly see an image of the crater with 4 abduced theories the third example learns the background knowledge of lighting w r t convexity for ambiguity abduction prolog cd src learning swipl light pl a 01001 the output should be a learned logic program of lighting however the learning is based on random samplings of low level features so sometime the output would be nothing in this case please try again further details wang zhou dai stephen h muggleton and zhi hua zhou logical vision meta interpretive learning for simple geometrical concepts in late breaking paper proceedings of the 25th international conference on inductive logic programming pages 1 16 ceur 2015 wang zhou dai and zhi hua zhou combining logic abduction and statistical induction discovering written primitives with human knowledge in proceedings of the 31st aaai conference on artificial intelligence aaai 17 san francisco ca 2017 contact wang zhou dai lamda group nanjing university daiwz lamda nju edu cn mailto daiwz lamda nju edu cn http lamda nju edu cn daiwz http lamda nju edu cn daiwz license the code is protected by gplv3 | swi-prolog opencv computer-vision | ai |
rust-rtos | rustrtos rustrtos is freertosv8 0 1 rewritten in rust for the pic32mx target and eventually for the x86 arm and msp430 targets as well any help is appreciated so feel free to contribute developer quick start 1 install rust rust github 2 download the freertos freertos download sources 3 start reimplementing freertos in rust rust github https github com rust lang rust freertos download http www freertos org a00104 html notes rustrtos aims to replace freertos with no loss of functionality it doesn t use the rust standard library no std and there may be significant unsafe code see the rust guide for writing safe unsafe and low level code rust unsafe current work is focused on translating the three minimum files list c tasks c and queue c and their headers into rust then the pic32mx specific or x86 or arm files port c and heap 4 c will be translated once a bare bones project can be built other features of freertos including timers and coroutines will be reimplemented rust unsafe http doc rust lang org guide unsafe html progress list c in progress tasks c in progress queue c started timers c not started croutine c not started event groups c not started freertos h stackmacros h not started port c portmacro h not started heap 1 c heap 2 c heap 4 c not started port isr asm unnecessary in assembly license rustrtos is presently distributed under the full gplv3 see license for details if rustrtos is ever production worthy i may redistribute it under freertos s modified gpl license | os |
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developMEnt | readme this readme would normally document whatever steps are necessary to get the application up and running things you may want to cover ruby version system dependencies configuration database creation database initialization how to run the test suite services job queues cache servers search engines etc deployment instructions | server |
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aiexperiments-sound-maker | this is the source code and sounds to the a i experiment nsynth sound maker https aiexperiments withgoogle com sound maker this experiment lets you play with new sounds created with machine learning it s built using nsynth https magenta tensorflow org nsynth a research project that trained a neural network on over 300 000 instrument sounds nsynth lets you select and combine two sound sources use the slider to change the interpolation between the two sound sources credits built by yotam mann https github com tambien with friends on the magenta and creative lab teams at google it uses tensorflow https tensorflow org tone js https github com tonejs tone js and open source tools from the magenta https magenta tensorflow org project check out more at a i experiments https aiexperiments withgoogle com building to build and run your own first make sure that you have node js http nodejs org and webpack https webpack github io installed to install the dependencies and build the project in the terminal run bash npm install webpack p you can then run a local server to play the site audio files all of the sound combinations can be found in the sounds folder the files are named with the two instrument sounds and an underscore in between inside the file you will find 35 mp3 files the mp3s are named with their interpolation point 0 4 then an underscore then their midi note value for example bass trombone solo a bike bell 1 68 mp3 is a combination of bass trombone solo a and bike bell since the file is called 1 68 mp3 that means it s the second interpolation point between trombone and bike bell 25 trombone and 75 bell and the note value is 68 g 5 the samples aren t always perfectly in tune and they do sound a bit unusual but we think that s what makes them fun keyboard you can play the keyboard by touching or clicking the keys or plug in a midi keyboard the center row of your computer keyboard will also trigger the keys | ai |
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pipeline-ui | pipeline ui pipeline design system x27 s react component library npm https img shields io npm v pipeline ui svg https www npmjs com package pipeline ui javascript style guide https img shields io badge code style standard brightgreen svg https standardjs com mit license https img shields io apm l atomic design ui svg https github com headline design pipeline ui blob main license txt github stars https img shields io github stars tterb playmusic svg style social label star https github com headline design pipeline ui twitter follow https img shields io twitter follow pipeline ui svg style social https twitter com pipeline ui pipeline discussion https img shields io badge discussions on 20github blue https github com headline design pipeline ui discussions travis build status https travis ci com headline design pipeline ui svg branch master https travis ci com headline design pipeline ui codecov https codecov io gh headline design pipeline ui branch main graph badge svg token ca32vfu6f0 https codecov io gh headline design pipeline ui netlify status https api netlify com api v1 badges 40588036 5b95 4358 a88a e601e5db99e1 deploy status https app netlify com sites zealous meitner 907a4d deploys gitpod ready to code https img shields io badge gitpod ready to code 908a85 logo gitpod https gitpod io from referrer open in visual studio code https open vscode dev badges open in vscode svg https open vscode dev headline design pipeline ui br npm https nodei co npm pipeline ui png downloads true https www npmjs com package pipeline ui pipeline ui is a project from headline design in partnership with the algorand foundation aiming to deliver a suite of development tools and reusable react components for decentralized algorand applications daapps our goal is to make it as easy as possible for developers to build daapps with outstanding functionality and visual design if you re interested we have written a bit more about our rationale and approach to building pipeline https www reddit com r headlinecrypto pipeline is in beta development and should not be considered stable we have made the project public in order to gather feedback from the community of designers and developers building algorand daapps we are actively working on adding new components to pipeline and will be sharing more information on the roadmap very soon modifying and testing the library on local machine 1 create a new folder in src 2 add an index js file in the new folder 3 add any new dependecies as neccesary to the package json file for pipeline ui 4 add the following line to the existing index js file in src jsx export default as mynewcomponent from mynewcomponent in command prompt enter the following while in the pipeline ui root directory bash cd pipeline ui npm install npm run build npm pack a tgz file will be generated in the folder pipeline ui move this file to the root folder of your project add the following dependency to the package json of the project that you will be using the library in jsx pipeline ui file pipeline ui 0 1 6 tgz in the project root folder run bash npm install usage pipeline is working to hardcode the algorand connection process into standard components with pipeline the following is a complete react app to connect to a myalgo wallet and return the address jsx import react component from react import algobutton pipeline from pipeline ui class testbutton extends component constructor props super props this state algaddress myalgowallet pipeline init render return div algobutton wallet this myalgowallet context this returnto algaddress h1 this state algaddress h1 div export default testbutton the send button the algosend button has the largest number of mandatory props failing to set them or setting them incorrectly will result in a transaction not executing this button also has the optional prop index which can be used to set and specify an asa index number for an asa transaction an app that uses the algosendbutton must also call pipeline init and either use algobutton or call pipeline connect wallet context returnto jsx algosendbutton index this state index if algorand must be 0 if asa must be a numeric index value recipient this state recipient string value amount this state amount integer value in micro algos note this state note string value myaddress this state algaddress string value wallet myalgowallet reference to an instance of pipeline init that is called once when the app is initialized context this returnto txid string value of state key to return the transaction id edit with gitpod https gitpod io button open in gitpod svg https gitpod io https github com headline design pipeline ui change log 0 1 3 theming buttons and other simple components 0 1 7 fixed select component replaced myalgobutton component with hard coded algobutton added pipeline algorand connector as a dependecy add verified asa s and index numbers as a component updated rollup to latest version enabled demo app and updated to reflect changes to parent library 0 2 4 fixed algoraddress and blockie components formerly would not re render on state change of props added pipeline algorand connector as component pipeline added algofetch component added pipelineshell component updated demo app to reflect changes to parent library 0 2 5 added switchnet component to switch between mainnet and testnet add onchange props to algobutton and algosendbutton components 0 2 6 added return of 0 for pipeline balance when error occurs 0 3 4 numerous updates walletconnect integration fixed peer dependency issue 0 3 5 multiwalletconnect component algosigner integration fused pipeline connector license mit pipeline ui https github com headline design pipeline ui blob main license | os |
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keymate | keymate this project is outdated and was last touched march 2017 this is an ios project for the module software egnineering under ios for the bsc degree mobile computing at the university of applied sciences upper austria images introduction png vision keymate is your own and personal password key manager in which you can store all your login or bank data or simply some other personal but important information furthermore you can store information as favorits to can access them more easily and you can savely trigger a notification for sensible data which can only be read when you are inside your app that is protected by finger print or master password identification results keymate was successfully implemented and tested on iphone 6 and 7 in portrait and landscape mode and with various border cases the app has a login page and three main tabs stored keys add settings stored keys this tab has a segment control with three segments favorites all and categories the fav container only shows passwords keys that have previosuly been declared as special favorites by the user the all container shows all keys that have been stored and the categories container shows the current active categorizes and filters all keys based on them images app information png add the add tab is allowing the user to easily add more keys to its database images app add png settings the settings tab allows the user to edit the settings and trigger secure notifications to notify the user of private meetings dates images app settings png | os |
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devfest-webdev-track | devfest web development track an open source self paced and project motivated web development curriculum live at learn devfe st webdev http learn devfe st webdev written and developed by raymond xu http www raymondxu io matt piccolella http mattpic com dan schlosser http schlosser io and adi http www adicu com curriculum img track png developing bash make open output html educational methodology rethinking education at devfest https medium com stories from adi rethinking education at devfest d5fac7c303be hpdwzgu2o why we do devfest https medium com stories from adi why we do devfest 10bfabdcd66f 5 steps for effective education at hackathons http www raymondxu io hackcon16 pdf | webdev flask curriculum | front_end |
zephyr-doc | zephyr zephyr project http iot fans xyz zephyr doc http iot fans xyz zephyr doc https www zephyrproject org doc https www zephyrproject org doc rst h contribution md contribution md qq 580070214 process md process md | zephyr rtos documents iot | os |
SQL-Database-Management-System | sql database management system mit license https img shields io github license yukinichi tiktok in wechat https github com boscosuen sql database management system blob master license it is a sql database management system based on c 17 and we have created the command parser low level storage and database system and complete many basic sql commands more over we also improved the database management system performance using index data blocks to index some table fields indexing the data blocks and also add lru cache to improve the data block reading preformance resources dbimg1 png resources dbimg2 png resources dbimg3 png process diagram the architecture for this sql database management system is based on mvc design pattern https en wikipedia org wiki model e2 80 93view e2 80 93controller after user input the command the tokenizer and statement class parse the command and construct the attribute schema and row object then send them to database to deal with the sql command and also deal with the data with the low level storage class after the database controller complete the job send it to the view object and user can get their sql command output resources diagram png usage you can make the project by make you can find some related help with the sql database management system help and you can get following helps help the available list of commands shown below describe database name show the description of the database named as name name use database name switch to the database named as name name drop database name delete the database with specific name name create database name create a new database names as input name quit terminates the execution of this db application show databases shows the list of databases available version shows the current version of this application help shows this list of commands if you are using the system you can input the sql commands you want such as create database db use database db create table students pid int primary key studentname varchar 100 zipcode int insert into students pid studentname zipcode values 1 foo 90091 3 bar 90083 select from students when you finish all input you can input quit to quit the system roadmap x built basic command processor x built low level storage system and database class x built schema and attribute to deal with input data x built row and filter class x completed select related sql commands x completed table update and delete functions x add index data block to improve performance x completed join related functions x add lru cache for storage system to improve performance links linkedin shield https img shields io badge linkedin black svg style flat square logo linkedin colorb 555 zhiqiang url https www linkedin com in zhiqiang sun | cpp sql database-management design-patterns design-architecture | server |
VisionToolbox | common utilities for computer vision and machine learning | ai |
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dsd | digital system design dsd computer engineering cpe 487 darian muresan http pictomic com stevens cpe487 dcdmanual pdf from 2022 fall to 2023 spring in memory of michel ouendeno https www stevens edu news stevens adds 32 faculty members for 2022 2023 academic year 1968 mdash 2022 kevin lu https www stevens edu profile klu2 from 2018 fall to 2022 spring bryan ackland https personal stevens edu backland courses course487 spring 18 htm from fall 2011 to spring 2018 in memory of stuart tewksbury https ethw org stuart tewksbury 1942 mdash 2013 learning https github com kevinwlu kevinwlu github io tree main learning smartsim smartsim ghdl ghdl amd xilinx xilinx fpgas board files board files nexys 2 nexys 2 nexys 4 ddr nexys 4 ddr nexys a7 nexys a7 basys 3 basys 3 cmod a7 cmod a7 genesys zu genesys zu intel intel fpgas de0 cv de0 cv tinyfpga bx tinyfpga bx algorithms and data structures algorithms audio audio and video video code code communications communications digital signal processing dsp power and thermal management power projects projects semiconductor https en wikipedia org wiki semiconductor chips chips industry industry standards standards tools tools dsd fundamentals bit numbering https en wikipedia org wiki bit numbering bit https en wikipedia org wiki bit nibble https en wikipedia org wiki nibble half byte or quadbit byte https en wikipedia org wiki byte bit rate https en wikipedia org wiki bit rate baud https en wikipedia org wiki baud binary coded decimal https en wikipedia org wiki binary coded decimal bcd ternary computer https en wikipedia org wiki ternary computer ternary numeral system https en wikipedia org wiki ternary numeral system trit trinary digit tryte is defined as six trits balanced ternary https en wikipedia org wiki balanced ternary three valued logic https en wikipedia org wiki three valued logic ieee 754 https en wikipedia org wiki ieee 754 standard for floating point arithmetic https en wikipedia org wiki floating point arithmetic significand https en wikipedia org wiki significand double precision floating point format https en wikipedia org wiki double precision floating point format floating point operations per second https en wikipedia org wiki flops flops petascale computing https en wikipedia org wiki petascale computing exascale computing https en wikipedia org wiki exascale computing zettascle computing https en wikipedia org wiki zettascale computing hexadecimal https en wikipedia org wiki hexadecimal black box https en wikipedia org wiki black box white box https en wikipedia org wiki white box software engineering boolean algebra https en wikipedia org wiki boolean algebra flip flop https en wikipedia org wiki flip flop electronics lookup table https en wikipedia org wiki lookup table lut see hardware luts lut https www xilinx com htmldocs xilinx2017 4 sdaccel doc yeo1504034293627 html as the basic building block of a field programmable gate array crystal oscillator https en wikipedia org wiki crystal oscillator crystal oscillator frequencies https en wikipedia org wiki crystal oscillator frequencies electronic oscillator https en wikipedia org wiki electronic oscillator clock generator https en wikipedia org wiki clock generator clock signal https en wikipedia org wiki clock signal clock rate https en wikipedia org wiki clock rate double data rate https en wikipedia org wiki double data rate ddr quad data rate https en wikipedia org wiki quad data rate qdr clock synchronization https en wikipedia org wiki clock synchronization synchronization in digital logic circuits https web stanford edu class ee183 handouts synchronization pres pdf stanford university ee 183 https web stanford edu class ee183 advanced logic design laboratory metastability https en wikipedia org wiki metastability turing machine https en wikipedia org wiki turing machine by alan turing https en wikipedia org wiki alan turing 1912 mdash 1954 finite state machine https en wikipedia org wiki finite state machine fsm mealy and moore machines https www geeksforgeeks org mealy and moore machines in toc by geeksforgeeks mealy vs moore machine overview video https www youtube com watch v s352lypzp00 by bruce boatner the moore type outputs are only a function of the states and not the external inputs the mealy type outputs are a function of the states and the external inputs a hybrid fsm that contains both a mealy and moore type output would be considered a mealy type fsm moore machine https en wikipedia org wiki moore machine by edward moore https en wikipedia org wiki edward f moore 1925 mdash 2003 have outputs defined inside their state bubbles transition conditions listed on their transition arrows may seem a bit more intuitive in their notation may require more states than a mealy machine mealy machine https en wikipedia org wiki mealy machine by george mealy https en wikipedia org wiki george h mealy 1927 mdash 2010 input and output variables listed on transition arrows may seem a bit more abstract in their notation can be more efficient and flexible than moore machine may require less hardware to implement hardware register https en wikipedia org wiki hardware register register transfer level https en wikipedia org wiki register transfer level rtl high level synthesis https en wikipedia org wiki high level synthesis hls run time type information https en wikipedia org wiki run time type information rtti digital electronics https en wikipedia org wiki digital electronics electronic design automation https en wikipedia org wiki electronic design automation eda comparison of eda software https en wikipedia org wiki comparison of eda software integrated circuit https en wikipedia org wiki integrated circuit ic schottky diode https en wikipedia org wiki schottky diode transistor transistor logic https en wikipedia org wiki transistor e2 80 93transistor logic ttl ttl logic standard ttl schottky low power schottky https archive org details bitsavers tidatabookrdttlslsdatabook 39061488 mode 2up 7400 series integrated circuits https en wikipedia org wiki 7400 series integrated circuits very large scale integration https en wikipedia org wiki very large scale integration vlsi very high speed integrated circuit https en wikipedia org wiki vhsic vhsic random access memory https en wikipedia org wiki random access memory ram 64gb ddr4 3200 pc4 25600 2rx4 rdimm ecc registered memory by nemix ram https www amazon com ddr4 3200 pc4 25600 rdimm registered memory dp b081k8x1n3 dynamic random access memory https en wikipedia org wiki dynamic random access memory dram resistive random access memory https en wikipedia org wiki resistive random access memory reram or rram reduced latency dram https en wikipedia org wiki rldram rldram memristor https en wikipedia org wiki memristor dual in line memory module https en wikipedia org wiki dimm dimm error correction code ecc memory https en wikipedia org wiki ecc memory error correction code https en wikipedia org wiki error correction code ecc hard disk drive https en wikipedia org wiki hard disk drive hdd solid state drive https en wikipedia org wiki solid state drive ssd hybrid drive https en wikipedia org wiki hybrid drive flash memory https en wikipedia org wiki flash memory sd card https en wikipedia org wiki sd card non volatile memory https en wikipedia org wiki non volatile memory nvm read only memory https en wikipedia org wiki read only memory rom programmable read only memory https en wikipedia org wiki programmable rom prom erasable programmable read only memory https en wikipedia org wiki eprom eprom electrically erasable programmable read only memory https en wikipedia org wiki eeprom eeprom bootloader https en wikipedia org wiki bootloader embedded system https en wikipedia org wiki embedded system firmware https en wikipedia org wiki firmware basic input output system https en wikipedia org wiki bios bios unified extensible firmware interface https en wikipedia org wiki uefi uefi netlist https en wikipedia org wiki netlist hardware description language https en wikipedia org wiki hardware description language hdl hardware verification language https en wikipedia org wiki hardware verification language hvl programmable logic controller https en wikipedia org wiki programmable logic controller plc programmable array logic https en wikipedia org wiki programmable array logic pal complex programmable logic device https en wikipedia org wiki complex programmable logic device cpld field programmable gate array https en wikipedia org wiki field programmable gate array fpga fpga for beginners glossary and setup https digilent com blog fpga for beginners glossary and setup by miranda hansen https digilent com blog author mirandamay7 fpga firmware though the code deployed on the fpga is sometimes referred to as its firmware this is a slight misconception firmware is indeed embedded and dedicated code but the code is executed fpga code is written in a description language then is interpreted synthesized and ultimately produces hardware so i see it fit to refer to the fpga when it is configured as hardware and to the code itself as a description language embedded fpga https semiengineering com knowledge centers integrated circuit ic types fpga embedded fpga efpga efpga low voltage differential signaling https en wikipedia org wiki low voltage differential signaling lvds small computer system interface https en wikipedia org wiki scsi scsi industry standard architecture https en wikipedia org wiki industry standard architecture isa extended industry standard architecture https en wikipedia org wiki extended industry standard architecture eisa peripheral component interconnect https en wikipedia org wiki peripheral component interconnect pci peripheral component interconnect express https en wikipedia org wiki pci express pcie pcie peer to peer https xilinx github io xrt 2022 2 html p2p html p2p communication is a pcie feature that enables two pcie devices to directly transfer data between each other without using host ram as a temporary storage pci express mini card https en wikipedia org wiki pci express mini card mini pcie universal chiplet interconnect express https en wikipedia org wiki ucie ucie serial advanced technology attachment https en wikipedia org wiki sata sata m 2 https en wikipedia org wiki m 2 transfers https en wikipedia org wiki transfer computing per second t s fpga mezzanine card https en wikipedia org wiki fpga mezzanine card fmc pci mezzanine card https en wikipedia org wiki pci mezzanine card pmc multi gigabit transceiver https en wikipedia org wiki multi gigabit transceiver mgt serializer deserializer https en wikipedia org wiki serdes serdes xilinx high speed serial https www xilinx com products technology high speed serial html syzygy https syzygyfpga io bit error rate https en wikipedia org wiki bit error rate soft microprocessor https en wikipedia org wiki soft microprocessor application specific integrated circuit https en wikipedia org wiki application specific integrated circuit asic electromagnetic interference https en wikipedia org wiki electromagnetic interference emi electromagnetic shielding https en wikipedia org wiki electromagnetic shielding restriction of hazardous substances directive https en wikipedia org wiki restriction of hazardous substances directive rohs 1 hardware acceleration https en wikipedia org wiki hardware acceleration ai accelerator https en wikipedia org wiki ai accelerator or neural processing unit npu printed circuit board https en wikipedia org wiki printed circuit board pcb eurocard https en wikipedia org wiki eurocard printed circuit board advanced technology extended https en wikipedia org wiki atx atx nano itx https en wikipedia org wiki nano itx 19 inch rack https en wikipedia org wiki 19 inch rack horizontal pitch https en wikipedia org wiki horizontal pitch hp is 0 2 inches 5 08 mm used to measure the horizontal width of rack mounted electronic equipment rack unit https en wikipedia org wiki rack unit u is 1 75 inches 44 45 mm used to measure vertical heights of rack mounted equipment open compute project https en wikipedia org wiki open compute project ocp open rack https en wikipedia org wiki open rack central processing unit https en wikipedia org wiki central processing unit cpu amd wrx80 motherboard64gb ram https www gigabyte com motherboard wrx80 su8 ipmi rev 10 kf amd ryzen threadripper pro 3955wx 16 core 32 thread desktop processor https www amazon com amd ryzen threadripper pro 3955wx dp b08v5j11bd graphical processing unit https en wikipedia org wiki graphics processing unit gpu fpga vs gpu what to choose https hardwarebee com fpga vs gpu choose fpga vs gpu for deep learning https www intel com content www us en artificial intelligence programmable fpga gpu html fpga vs gpu vs cpu hardware options for ai applications https www avnet com wps portal silica resources article fpga vs gpu vs cpu hardware options for ai applications fpga vs gpu https haltian com resource fpga vs gpu compute unified device architecture https en wikipedia org wiki cuda cuda cuda deep neural network library https developer nvidia com cudnn cudnn amd accelerated processing unit https en wikipedia org wiki amd accelerated processing unit apu direct memory access https en wikipedia org wiki direct memory access dma in memory processing https en wikipedia org wiki in memory processing legendre memory unit https www nengo ai nengo examples learning lmu html lmu multiple buffering https en wikipedia org wiki multiple buffering framebuffer https en wikipedia org wiki framebuffer tensor processing unit https en wikipedia org wiki tensor processing unit tpu coral https coral ai products accelerator vision processing unit https en wikipedia org wiki vision processing unit vpu movidius https en wikipedia org wiki movidius deep learning processor https en wikipedia org wiki deep learning processor neural processor https en wikichip org wiki neural processor organ on a chip https en wikipedia org wiki organ on a chip ooc list of quantum processors https en wikipedia org wiki list of quantum processors semiconductor intellectual property core https en wikipedia org wiki semiconductor intellectual property core ip core gnu lesser general public license https en wikipedia org wiki gnu lesser general public license lgpl cern https en wikipedia org wiki cern open hardware license ohl https en wikipedia org wiki cern open hardware licence cern ohl version 2 https ohwr org project cernohl wikis documents cern ohl version 2 circuit bending https en wikipedia org wiki circuit bending hardware description languages hdl vhdl vhdl https en wikipedia org wiki vhdl vhsic hdl textbook free range vhdl 2019 edition free range vhdl 2019 pdf by bryan mealy https lib calpoly edu faculty showcase mealy bryan and fabrizio tappero https github com fabriziotappero page 7 modeling digital circuits with vhdl is a form of modern digital design distinct from schematic based approaches page 120 the tendency at this juncture in your vhdl programming career is to use some type of schematic capture https en wikipedia org wiki schematic capture software instead of learning the structural modeling approach the fact is that no one of consequence uses the schematic capture software these days even though it is taught in many university textbooks the funny part about this entire process is that the schematic capture software is a tool that allows you to visually represent circuits but in the end generates vhdl code the only thing the synthesizer understands is vhdl code page 131 digital design using schematic capture is an outdated approach you should resist the inclination and or directive at all costs page 173 after years of development by the us department of defense in february 1986 all vhdl rights were transferred to the institute of electrical and electronics engineers ieee which since then has carried on the process of standardization of the language after several language standardization steps that took place in 1987 1993 2000 2002 and 2008 vhdl now includes a large set of packages that once included in your code give you the possibility of using several mathematical constants numerical functions overloaded operators type conversion functions enhanced signal types and much more page 177 this section presents the solutions to all problems presented throughout this book ada https en wikipedia org wiki ada programming language programming language ieee 1164 1993 https standards ieee org standard 1164 1993 html ieee standard multivalue logic system for vhdl model interoperability std logic 1164 https en wikipedia org wiki ieee 1164 std logic vs std ulogic https vhdlwhiz com std logic vs std ulogic by vhdlwhiz signed vs unsigned in vhdl https www nandland com vhdl examples example signed unsigned html by nandland ieee 1076 2019 https standards ieee org standard 1076 2019 html ieee standard vhdl language reference manual ieee p1076 gitlab subgroups and projects https gitlab com ieee p1076 vhdl github repositories https github com search q vhdl vhdl quick reference cards https github com fabriziotappero free range vhdl book tree master pics ref cards vhdl language refernece guide https peterfab com ref vhdl vhdl renerta overloading https www vhdl online de vhdl reference 93 overloading allows defining operators of the same names as predefined operators but for different operand types predefined attributes https www csee umbc edu portal help vhdl attribute html e g clk event the attribute event of the signal clk followed by an apostrophe vhdl tutorials basic vhdl tutorials https vhdlwhiz com basic vhdl tutorials of vhdlwhiz https vhdlwhiz com by jonas julian jensen https jonasjulianjensen com fpga design using vhdl lectures https youtube com playlist list plzv8x7uxq5xy iqfqfb6mc6oxzz0h8cef of eduvance https www eduvance in by jonathan joshi and amit kathuria fpga design with vhdl https vhdlguide readthedocs io en latest by meher krishna patel https in linkedin com in mekrip of xilinx synthworks https www synthworks com vhdl training experts vhdl online https www vhdl online de of chemnitz university of technology https en wikipedia org wiki chemnitz university of technology vhdl tutorial and examples https www nandland com vhdl tutorials index html of nandland https www nandland com by russell merrick https www linkedin com in russell merrick 6058b34 vhdl tutorial learn by example http esd cs ucr edu labs tutorial by weijun zhang uc riverside july 2001 vhdl tutorial https www seas upenn edu ese171 vhdl vhdl primer html by jan van der spiegel university of pennsylvania vhdl reference material https www csee umbc edu portal help vhdl index shtml by umbc csee https www csee umbc edu portal help vhdl code for flip flops using behavioral method full code https technobyte org vhdl code flip flops behavioral by umair hussaini technobyte verilog verilog https en wikipedia org wiki verilog hdl systemverilog https en wikipedia org wiki systemverilog hdl ieee 1364 2005 https standards ieee org standard 1364 2005 html ieee standard for verilog hardware description language ieee 1364 2005 was superseded by ieee 1800 2009 ieee 1800 2017 https standards ieee org standard 1800 2017 html ieee standard for systemverilog unified hardware design specification and verification language verilog quick reference card https www ece uvic ca fayez courses ceng465 vlogref pdf verilog language reference guide https peterfab com ref verilog verilog renerta systemverilog language reference manual https courses engr illinois edu ece411 fa2018 mp systemverilog 3 1a pdf stuart sutherland verilog hdl quick reference guide https sutherland hdl com pdfs verilog 2001 ref guide pdf rajeev madhavan quick reference for verilog hdl https www ece ucdavis edu bbaas 281 docs quickrefforverilog 2up pdf samir palnitkar verilog hdl a guide to digital design and synthesis https d1 amobbs com bbs upload782111 files 33 ourdev 585395bq8j9a pdf second edition m morris mano and michael d ciletti digital design with an introduction to the verilog hdl http e4uhu com down logic 5e pdf pong p chu fpga prototyping by verilog examples xilinx spartan 3 version https faculty kfupm edu sa coe aimane coe405 fpga 20prototyping 20with 20verilog 20examples pdf jayaram bhasker verilog hdl synthesis a practical primer http ebook pldworld com ebook fpga ef bc 8fhdl eng verilog 20hdl 20synthesis 20a 20practical 20primet 20 bhasker pdf eduardo corpe o learning fpga development https www linkedin com learning learning fpga development chipverify https www chipverify com tutorials on verilog systemverilog and universal verification methodology https en wikipedia org wiki universal verification methodology uvm systemc systemc https en wikipedia org wiki systemc systemc org https systemc org fika https en wikipedia org wiki coffee culture sweden ieee 1666 2011 https standards ieee org ieee 1666 4814 ieee standard for standard systemc reg language reference manual ieee 1666 1 2016 https standards ieee org ieee 1666 1 5812 ieee standard for standard systemc reg analog mixed signal extensions language reference manual others c to hdl https en wikipedia org wiki c to hdl myhdl https en wikipedia org wiki myhdl python based hdl myhdl website http www myhdl org myhdl github repository https github com myhdl myhdl open3d http www open3d org openacc https en wikipedia org wiki openacc open accelerators opencl https en wikipedia org wiki opencl open computing language opencv https en wikipedia org wiki opencv open source computer vision library opengl https en wikipedia org wiki opengl open graphics library openmp https en wikipedia org wiki openmp open multi processing openqasm https en wikipedia org wiki openqasm open quantum assembly language pynq http www pynq io python productivity for zynq pynq uses the python language and libraries with amd xilinx zynq https www xilinx com products silicon devices soc html zynq ultrascale zynq mpsoc zynq rfsoc alveo https www xilinx com products boards and kits alveo html accelerator boards and amazon ec2 f1 https aws amazon com ec2 instance types f1 instances pynq introduction https pynq readthedocs io pynq github repository https github com xilinx pynq face detection and recognition https github com shichao4657125 fpga by chao shi sigasi https www sigasi com ximea https www ximea com electronic design automation eda synopsys https en wikipedia org wiki synopsys aart de geus https en wikipedia org wiki aart de geus cadence design systems https en wikipedia org wiki cadence design systems virtuoso layout suite https www cadence com en us home tools custom ic analog rf design layout design virtuoso layout suite html supports custom analog digital and mixed signal designs at the device cell block and chip levels spectre circuit simulator https en wikipedia org wiki spectre circuit simulator siemens eda https en wikipedia org wiki mentor graphics aldec https en wikipedia org wiki aldec altium https en wikipedia org wiki altium open source simulators eda playground doulos https www doulos com eda playground https edaplayground com quick start https eda playground readthedocs io en latest quick start html tutorial https eda playground readthedocs io en latest tutorial html github repository https github com edaplayground eda playground ghdl ghdl http ghdl free fr the 17 minute tutorial https archive fosdem org 2018 schedule speaker tristan gingold plus 7 minute q a by tristan gingold https fr linkedin com in tristan gingold 31a3864 at fosdem https en wikipedia org wiki fosdem 2018 downloadable slides https archive fosdem org 2018 schedule event cad fpga intro attachments slides 2136 export events attachments cad fpga intro slides 2136 fpga design pdf ghdl documentation https ghdl github io ghdl ghdl labs https github com kevinwlu dsd tree master ghdl including hello world half adder full adder 8 bit square root d flip flop t flip flop sr flip flop 4 to 1 multiplexer and 1 to 4 demultiplexer 4 bit ripple counter https en wikipedia org wiki counter digital 4x4 unsigned mulitplier and hamming distance https en wikipedia org wiki hamming distance circuit by chloe quinto https github com chloequinto cpe 487 digital system design textbook http freerangefactory org pdf df344hdh4h8kjfh3500ft2 free range vhdl pdf exercises of chapters 3 to 5 and chapters 7 to 10 by sarah bertussi https github com sbertussi cpe 487 tree master textbook textbook chapter 13 test benches by jake foglia https github com jakefoglia foglia dsd tree master ghdl 20test 20directory ch13 icarus verilog icarus verilog https en wikipedia org wiki icarus verilog daedalus https en wikipedia org wiki daedalus warned icarus https en wikipedia org wiki icarus first of complacency and then of hubris instructing him to fly neither too low nor too high lest the sea s dampness clog his wings or the sun s heat melt them stephen williams http stevewilliams icarus com installation guide https iverilog fandom com wiki installation guide icarus verilog for windows http bleyer org icarus iverilog https github com steveicarus iverilog examples https github com steveicarus iverilog tree master examples including hello square root device configurable logic block https en wikipedia org wiki logic block clb flip flop data encryption standard https en wikipedia org wiki data encryption standard des encryptor etc ivtest https github com steveicarus ivtest veripool veripool https www veripool org verilator https en wikipedia org wiki verilator github repository https github com verilator verilator yosys yosys https github com yosyshq yosys https github com yosyshq yosys for verilog synthesis and formal verification yosys manual https yosyshq net yosys files yosys manual pdf clifford wolf http bygone clairexen net vitae html github repository https github com cliffordwolf symbiotic eda https www symbioticeda com github repository https github com symbioticeda icestorm https github com yosyshq icestorm nextnpr https github com yosyshq nextpnr field programmable gate array fpga ryan kastner janarbek matai and stephen neuendorffer parallel programming for fpgas https kastner ucsd edu hlsbook arxiv e prints may 11 2018 arxiv 1805 03648 cs ar pdf https kastner ucsd edu wp content uploads 2018 03 admin pp4fpgas pdf kastner research group https kastner ucsd edu krg uc san diego fpgarelated com https www fpgarelated com enclustra https www enclustra com en home universal dsp library https www enclustra com en products ip cores universal dsp library fpga developer https www fpgadeveloper com by jeff johnson https github com fpgadeveloper adam taylor https www hackster io adam taylor youtube channel adiuvo engineering training https www youtube com channel ucpzekraakiziu3st0fjnolg adiuvo https en wiktionary org wiki adiuvo is a latin word that means to help assist amd xilinx amd https en wikipedia org wiki advanced micro devices xilinx https en wikipedia org wiki xilinx ni https en wikipedia org wiki national instruments digilent fpga boards https reference digilentinc com programmable logic start digilent nexys 4 ddr rebranded as nexys a7 100t https store digilentinc com nexys a7 fpga trainer board recommended for ece curriculum double data rate https en wikipedia org wiki double data rate ddr reference manuals nexys a7 reference manual https reference digilentinc com reference programmable logic nexys a7 reference manual nexys 4 ddr reference manual https reference digilentinc com reference programmable logic nexys 4 ddr reference manual basys 3 reference manual https reference digilentinc com programmable logic basys 3 reference manual cmod a7 reference manual https reference digilentinc com programmable logic cmod a7 reference manual vivado ml standard edition https www xilinx com products design tools vivado html by xilinx vivado installation https github com kevinwlu dsd blob master nexys a7 readme md board files https github com digilent vivado boards download board files in zip https github com digilent vivado boards archive master zip tool command language tcl https docs xilinx com r en us ug835 vivado tcl commands lab 1 https github com kevinwlu dsd tree master nexys a7 lab 1 seven segment decoder lab 2 https github com kevinwlu dsd tree master nexys a7 lab 2 four digit hex counter lab 3 https github com kevinwlu dsd tree master nexys a7 lab 3 bouncing ball lab 4 https github com kevinwlu dsd tree master nexys a7 lab 4 hex calculator lab 5 https github com kevinwlu dsd tree master nexys a7 lab 5 digital to analog converter dac siren lab 6 https github com kevinwlu dsd tree master nexys a7 lab 6 video game pong what s different between vivado and vitis https digilent com blog whats different between vivado and vitis vivado offers a hardware centric approach to designing hardware while vitis offers a software centric approach to developing both hardware and software digilent peripheral modules or pmods https store digilentinc com pmod modules connectors lab 4 16 button keypad kypd https store digilentinc com pmod kypd 16 button keypad with optional 2x6 pin https store digilentinc com 2x6 pin pmod cable cable lab 5 inter ic sound i2s https reference digilentinc com reference pmod pmodi2s start has been replaced with i2s2 https store digilentinc com pmod i2s2 stereo audio input and output lab 6 two 12 bit analog to digital converter ad1 https store digilentinc com pmod ad1 two 12 bit a d inputs with 6 pin https store digilentinc com pmod cable kit 6 pin cable and a 5k omega potentiometer columbia university ee e3082 digital electronics laboratory https www bioee ee columbia edu courses ee3082 by prof ken shepard https en wikipedia org wiki kenneth l shepard intel altera intel https en wikipedia org wiki intel altera https en wikipedia org wiki altera terasic https www terasic com tw en boards de0 cv https www terasic com tw cgi bin page archive pl language english categoryno 163 no 921 de0 nano http www terasic com tw cgi bin page archive pl language english no 593 quartus prime lite edition https www intel com content www us en software programmable quartus prime overview html by intel https en wikipedia org wiki intel labs https github com kevinwlu dsd tree master de0 cv cornell ece 5760 https people ece cornell edu land courses ece5760 index html advanced microcontroller design and system on chip projects https people ece cornell edu land courses ece5760 finalprojects terasic de1 soc https www terasic com tw cgi bin page archive pl language english no 836 georgia tech ece 2031 https www ece gatech edu courses course outline ece2031 digital design laboratory terasic de2 https www terasic com tw cgi bin page archive pl language english categoryno 183 no 30 de2 board resources https hamblen ece gatech edu de2 j hamblen https hamblen ece gatech edu t hall and m furman rapid prototyping of digital systems sopc system on a programmable chip edition pdf https hamblen ece gatech edu book slides qe 2007 lattice semiconductor lattice semiconductor https en wikipedia org wiki lattice semiconductor lattice diamond design software https www latticesemi com latticediamond diamond overview https www latticesemi com en products designsoftwareandip fpgaandlds latticediamond diamondoverview lattice diamond programmer and deployment tool https www latticesemi com programmer lattice fpgas https www latticesemi com products aspx step mxo2 https www latticesemi com products developmentboardsandkits stepmxo2dev development board machxo2 https www latticesemi com products fpgaandcpld machxo2 ice https en wikipedia org wiki ice fpga fpga icebreaker https github com icebreaker fpga icebreaker icestick https www latticesemi com icestick tinyfpga https tinyfpga com ecp5 https www latticesemi com products fpgaandcpld ecp5 fpga orangecrab https github com orangecrab fpga orangecrab hardware butterstick https github com butterstick fpga butterstick hardware crosslink nx https www latticesemi com products fpgaandcpld crosslink nx fpga arctickoala https github com gregdavill arctickoala others achronix https www achronix com dfiant https www dfiant works dfiant hdl https github com dfianthdl dfiant efinix https www efinixinc com khronos group https en wikipedia org wiki khronos group microchip https en wikipedia org wiki microchip technology microsemi https en wikipedia org wiki microsemi polarfire https www microchip com en us products fpgas and plds fpgas polarfire fpgas openroad https theopenroadproject org quicklogic https www quicklogic com rhs research https rhsresearch com nitefury and litefury https github com rhsresearchllc nitefury and litefury risc v https en wikipedia org wiki risc v sifive https en wikipedia org wiki sifive fomu https tomu im fomu html bosch infineon nordic nxp and qualcomm join hands to give the risc v ecosystem a big boost https www hackster io news bosch infineon nordic nxp and qualcomm join hands to give the risc v ecosystem a big boost d47050949111 symbiflow https symbiflow github io examples https symbiflow examples readthedocs io en latest projects all about fpga https allaboutfpga com by shahul akthar of invent logics binary counter fpga implementation https allaboutfpga com binary counter fpga implementation bcd to 7 segment fpga implementation https allaboutfpga com bcd to 7 segment fpga implementation alu structural modeling fpga implementation https allaboutfpga com tutorial 3 alu structural modelling fpga implementation vhdl code for 4 bit alu https allaboutfpga com vhdl code for 4 bit alu cyberdeck cafe https cyberdeck cafe digilent blog projects https digilent com blog category applications projects vhdl etch a sketch https digilent com blog vhdl etch a sketch fpga eink controller https hackaday io project 21168 fpga eink controller github repository https github com julbouln ice40 eink controller controlling a broken kindle display with an fpga https www hackster io news controlling a broken kindle display with an fpga edb6f5666a03 e ink https en wikipedia org wiki e ink fpga4fun https www fpga4fun com fpga4students https www fpga4student com fpga based vga driver and arcade game https static armandas lt res fpga based vga driver and arcade game pdf xilinx community projects https www xilinx com community projects html hackaday https en wikipedia org wiki hackaday hackaday fpga projects https hackaday io projects tag fpga the hobbyists guide to fpgas https hackaday io project 27550 the hobbyists guide to fpgas greg scott davill https gregdavill com gsd led icosahedron https github com gregdavill d20 hardware jason mobarack https github com silverjam vhdl 8 bit calculator https github com silverjam vhdl tree master 8bit calculator ieee 754 multiplier https github com silverjam vhdl tree master ieee 754 multiplier vending machine https github com silverjam vhdl tree master vending machine martin kellermann https www linkedin com today author martinkellermann tinyml that can be upgraded without resynthesizing or rebooting the fpga https www iotforall com tinyml that can be updated without resynthesizing or rebooting the fpga one time pad fpga https github com homerflander one time pad fpga in verilog one time pad https en wikipedia org wiki one time pad openfasoc https github com idea fasoc openfasoc project f fpga development https projectf io in verilog t rex run implemented in vhdl https www secs oakland edu llamocca courses ece4710 w20 finalproject group4 trexonvga pdf fpga design contests intel innovate design contests https www intel com content www us en programmable support training university events contests html terasic innovatefpga design contest https www innovatefpga com tinyml vision challenge https www hackster io contests tinyml vision xilinx design contests https www xilinx com support university design contests html | os |
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asuna-cli | asuna cli install npm i asuna cli g usage asuna create 1 2 3 6 4 master 5 6 a b c d 7 8 coding asuna new c config asuna config js d dest asuna new page asuna new component asuna config js const path require path module exports bid helpers tolowercase str str tolocalelowercase page output path join dirname src pages templates name pagesample src path join dirname templates pages pagesample prompts name pagereducer src path join dirname templates pages pagereducer prompts component output path join dirname src components templates name comsample src path join dirname templates components comsample prompts type input name content message the content of component helpers helpers handlebars helpers module exports helpers lowercase str str tolowercase lowercase name pages output templates templates name src prompts inquirer https github com sboudrias inquirer js component output templates templates name src prompts inquirer https github com sboudrias inquirer js templates prompts templates name pagesample src path join dirname templates pages pagesample prompts type input name content message the content of component content asuna new page asuna new component react webpack pc https github com ruichengping react webpack pc | front_end |
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FLANG | when flue meets flang benchmarks and large pretrained language model for financial domain abstract p align justify pre trained language models have shown impressive performance on a variety of tasks and domains previous research on financial language models usually employs a generic training scheme to train standard model architectures without completely leveraging the richness of the financial data we propose a novel domain specific financial language model flang which uses financial keywords and phrases for better masking together with span boundary objective and in filing objective additionally the evaluation benchmarks in the field have been limited to this end we contribute the financial language understanding evaluation flue an open source comprehensive suite of benchmarks for the financial domain these include new benchmarks across 5 nlp tasks in financial domain as well as common benchmarks used in the previous research experiments on these benchmarks suggest that our model outperforms those in prior literature on a variety of nlp tasks p flang electra architecture architecture of our model we use finance specific datasets and general english datasets wikpedia and bookscorpus for training the model we follow the training strategy of electra with span boundary task which first predicts masked tokens using language model and then uses a discriminator to assess if a token is original or replaced the generator and discriminator are trained end to end and both words and phrases from financial vocabulary are used for masking the final discriminator is then fine tuned on individual tasks on our contributed benchmark suite financial language understanding evaluation flue note that our method is not specific to electra and can be generalized to other models images flang jpg sub architecture of our model we use finance specific datasets and general english datasets wikpedia and bookscorpus for training the model we follow the training strategy of electra with span boundary task which first predicts masked tokens using language model and then uses a discriminator to assess if a token is original or replaced the generator and discriminator are trained end to end and both words and phrases from financial vocabulary are used for masking the final discriminator is then fine tuned on individual tasks on our contributed benchmark suite financial language understanding evaluation flue note that our method is not specific to electra and can be generalized to other models sub flue financial language understanding evaluation flue financial language understanding evaluation is a comprehensive and heterogeneous benchmark that has been built from 5 diverse financial domain specific datasets name task source dataset size fpb financial sentiment analysis malo et al 2014b 4 845 fiqa sa financial sentiment analysis fiqa 2018 1 173 headline news headline classification sinha and khandait 2020 11 412 ner named entity recognition alvarado et al 2015 1 466 finsbd3 structure boundary detection finsbd3 finweb 2021 756 fiqa qa question answering fiqa 2018 6 640 performance of flang architecture of flue datasets model metric fpb fiqa sa headline ner finsbd3 fiqa qa accuracy mse mean f 1 f 1 f 1 ndcg bert base 0 856 0 073 0 967 0 79 0 95 0 46 finbert 0 872 0 07 0 968 0 8 0 89 0 42 flang bert ours 0 912 0 054 0 972 0 83 0 96 0 51 electra 0 881 0 066 0 966 0 78 0 94 0 52 flang electra ours 0 919 0 034 0 98 0 82 0 97 0 55 financial sentiment analysis 1 financial phrasebank classification data financial phrasebank https huggingface co datasets financial phrasebank cite malo pekka et al good debt or bad debt detecting semantic orientations in economic texts journal of the association for information science and technology 65 4 2014 782 796 2 fiqa 2018 task 1 regression data and ref fiqa 2018 https huggingface co datasets salt nlp flue fiqa cite maia macedo handschuh siegfried freitas andre davis brian mcdermott ross zarrouk manel balahur alexandra 2018 www 18 open challenge financial opinion mining and question answering www 18 companion proceedings of the the web conference 2018 1941 1942 10 1145 3184558 3192301 news headline classification data gold commodity news and dimensions https www kaggle com datasets daittan gold commodity news and dimensions cite sinha a khandait t 2021 april impact of news on the commodity market dataset and results in future of information and communication conference pp 589 601 springer cham named entity recognition data ner data on loan agreement https paperswithcode com dataset fin cite alvarado j c s verspoor k baldwin t 2015 december domain adaption of named entity recognition to support credit risk assessment in proceedings of the australasian language technology association workshop 2015 pp 84 90 structure boundary detection data finsbd3 https sites google com nlg csie ntu edu tw finweb2021 shared task finsbd 3 cite willy au abderrahim ait azzi and juyeon kang 2021 finsbd 2021 the 3rd shared task on structure boundary detection in unstructured text in the financial domain in companion proceedings of the web conference 2021 www 21 association for computing machinery new york ny usa 276 279 https doi org 10 1145 3442442 3451378 question answering data and ref fiqa 2018 https huggingface co datasets salt nlp flue fiqa cite maia macedo handschuh siegfried freitas andre davis brian mcdermott ross zarrouk manel balahur alexandra 2018 www 18 open challenge financial opinion mining and question answering www 18 companion proceedings of the the web conference 2018 1941 1942 10 1145 3184558 3192301 leaderboard coming soon citation please cite the model with the following citation bibtex inproceedings shah etal 2022 flang author shah raj sanjay and chawla kunal and eidnani dheeraj and shah agam and du wendi and chava sudheer and raman natraj and smiley charese and chen jiaao and yang diyi title when flue meets flang benchmarks and large pretrained language model for financial domain booktitle proceedings of the 2022 conference on empirical methods in natural language processing emnlp year 2022 publisher association for computational linguistics contact information please contact raj sanjay shah rajsanjayshah at gatech dot edu or sudheer chava schava6 at gatech dot edu or diyi yang diyiy at stanford dot edu about any issues and questions steps to use the code 1 clone the repo 2 cd into the repo in your terminal dependencies install dependencies with the following command pip install r requirements txt raw data tokens npy contains the tokens for financial vocabulary in a numpy array format to train flang bert run python train flang bert py to train flang electra run python train flang electra py | ai |
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OpenGDS-DS | license lgpl v3 https img shields io badge license lgpl 20v3 blue svg https www gnu org licenses lgpl 3 0 korean https img shields io badge language korean blue svg korean a name korean a opengds ds sw br geogig distributed version control system opengds builder br link http www git co kr opengeodt opengds ds java library geogig rest client library geogig git flow clone pull push geoserver plug in geogig restapi geogig postgresql opengds ds import opengds builder link http www pusan ac kr link http www krihs re kr getting started 1 java openjdk 1 8 0 111 64 bit eclipse neon postgresql 9 4 geoserver 2 13 2 geogig 1 2 1 2 geoserver geogig plug in http geoserver org geoserver 2 13 2 windows installer br jdk 1 8 geoserver 2 8 windows installer c program files x86 https github com locationtech geogig releases geogig 1 2 1 geoserver 2 12 plugin zip c program files x86 geoserver 2 13 0 webapps geoserver web inf lib guava 23 0 jar geoserver web inf lib c program files x86 geoserver 2 13 2 bin startup bat 3 postgresql http www postgresql org download postgresql pgadmin databases new database geogig name database 4 clone or download https github com odtbuilder opengds ds git svn clone zip 5 eclipse project import 6 test src test com git gdsbuilder versioncontroltest java postgresql geogig pre code geogig repository information string baseurl http localhost 9999 geoserver string username admin string password geoserver string repository github string dbhost localhost string dbport 5432 string dbname geogig string dbschema public string dbuser postgres string dbpassword postgis string authorname github string authoremail github git co kr creating a geogig repository backed by postgresql initrepository init new initrepository init executecommand baseurl username password repository dbhost dbport dbname dbschema dbuser dbpassword authorname authoremail code pre importing postgis table pre code begin transaction begintransaction begintransaction new begintransaction geogigtransaction transaction begintransaction executecommand baseurl username password repository string transactionid transaction gettransaction getid postgis table information string fidattrib gid string table gis osm transport importing gis data postgisimport postgisimport new postgisimport geogigtasks tastks postgisimport executecommand baseurl username password repository transactionid fidattrib table dbhost dbport dbschema dbname dbuser dbpassword adding repostiroy addrepository addrepos new addrepository geogigadd add addrepos executecommand baseurl username password repository transactionid committing repository commitrepository commitrepos new commitrepository geogigcommit commit commitrepos executecommand baseurl username password repository transactionid github test authorname authoremail endtransaction endtransaction endtransaction new endtransaction transaction endtransaction executecommand baseurl username password repository transactionid code pre geogig import layer pre code list all layers in geogig repository lstreerepository lstree new lstreerepository geogigrevisiontree geogigtree lstree executecommand baseurl username password repository null false code pre postgis table importing postgis table reimporting geogig pre code branch information string branchname mybranch string source master creating branch createbranch create new createbranch geogigbranch branch create executecommand baseurl username password repository branchname source code pre pre code begin transaction begintransaction beginmergetransaction new begintransaction geogigtransaction mergetransaction beginmergetransaction executecommand baseurl username password repository string mergettransactionid mergetransaction gettransaction getid merge branch information string targetbranch master string mergebranch mybranch switch to targetbranch checkoutbranch checkoutbranch new checkoutbranch geogigcheckout checkout checkoutbranch executecommand baseurl username dbpassword repository mergettransactionid targetname merge into targetbranch mergebranch mergebranch new mergebranch geogigmerge merge mergebranch executecommand baseurl username password repository mergettransactionid mergename merge mergeresult merge getmerge if mergeresult getconflicts null merge conflict resolution string version ours ours targetbranch their mergebranch list feature conflictfeatures mergeresult getfeatures for feature conflict conflictfeatures if conflict getchange equals conflict string path conflict getid checkoutbranch executecommand baseurl username dbpassword repository transactionid path version endtransaction endtransaction endmergetransaction new endtransaction transaction endmergetransaction executecommand baseurl username password repository mergettransactionid code pre api javadoc img src https user images githubusercontent com 20291050 51577193 564d2900 1efc 11e9 8ad9 77d2edab08ea png alt alt text width 100 1 geogig 1 2 1 eclipse distribution license a bsd 3 clause license http geogig org 2 apachepoi 3 14 apache license 2 0 http poi apache org 3 apachecommons 1 3 3 apache license 2 0 commons apache org proper commons logging 4 jackson 1 9 7 apache license al 2 0 lgpl 2 1 5 json 20160212 mit license 6 json simple 1 1 1 the apache software license version 2 0 http code google com p json simple mail developer sg lee ghre55 git co kr | server |
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nlp-notebooks | nlp notebooks environment setup install conda conda env create f nlp notebooks env nlp yml source activate nlp jupyter notebook | nlp nlp-resources natural-language-processing natural-language-generation natural-language-understanding natural-language-inference deep-learning deep-learning-tutorial | ai |
DEIS | deis design of embedded and intelligent systems | os |
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Amod_HelloWorldLabs | amod helloworldlabs first github repository embeded system design | os |
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sonoff-s20-homekit | sonoff s20 homekit an alternative firmware for the 10 itead sonoff s20 socket this firmware supports the apple homekit framework and the qr code pairing for it poc prerequisites for building ota update images is the presence of openssl https www openssl org and the esptool2 https github com raburton esptool2 on your system usage 1 install esp open sdk https github com pfalcon esp open sdk build it with make toolchain esptool libhal standalone n then edit your path and add the generated toolchain bin directory the path will be something like home path to esp open sdk xtensa lx106 elf bin 2 checkout esp open rtos https github com superhouse esp open rtos and set sdk path environment variable pointing to it e g export sdk path home espressif esp open rtos 3 initialize and sync all submodules recursively shell git submodule update init recursive 4 install required python modules for qr code creation shell pip install pyqrcode pypng 5 create a new qr code for homekit pairing every device needs an unique qr code for identification on your network print it and stick it to the sonoff s20 casing warning since the information is update persistent you won t be able to pair the device without reflashing after future ota updates if you don t save it or print it shell make homekitsettings 6 set your environment variables to match your needs set espport environment variable pointing to usb device your esp8266 is attached to assuming your device is at dev tty slab usbtouart shell export espport dev tty slab usbtouart set your ota update server environment variables set the server shell export ota update server 192 168 1 2 set the port shell export ota update port 8080 set the path on the server to the firmware files shell export ota update path ota sonoff s20 name your firmware files defaults to latest shell export ota update firmware name sonoff s20 v1 x 7 to prevent any effects from previous firmware it is highly recommended to erase flash shell make erase flash or if you didn t set the espport environment variable shell make erase flash espport dev tty slab usbtouart 8 flash the firmware on the sonoff s20 shell make j4 test or shell make j4 flash make monitor ota updates again prerequisites for building ota update images is the presence of openssl https www openssl org and the esptool2 https github com raburton esptool2 on your system if you just later want to compile the ota firmware images just enter shell make j4 ota images and copy the compiled linked and hashed firmware images to your update server using the path you have chosen at compilation time you ll find the files in the firmware ota directory copy all files to your webserver directory accessible via your chosen update server path to initiate an ota update of the device just long press the device button 4 secs and on on an already flashed device | esp8266 homekit hap homekit-accessory-protocol esp-open-rtos ota sonoff-s20 sonoff | os |
mobile-web-front-end-development-solutions | web web pc 2g 3g pc 2g 3g gzip localstorage webapp quickling https github com xiangshouding bigpipe smarty fis http fis baidu com | front_end |
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erigon | erigon erigon is an implementation of ethereum execution layer with embeddable consensus layer on the efficiency frontier archive node https ethereum org en developers docs nodes and clients archive nodes what is an archive node by default build status https github com ledgerwatch erigon actions workflows ci yml badge svg coverage https gist githubusercontent com revitteth ee38e9beb22353eef6b88f2ad6ed7aa9 raw badge svg ts system requirements system requirements usage usage getting started getting started logging logging testnets testnets block production block production pow miner or pos validator windows windows godoc https godoc org github com ledgerwatch erigon beacon chain beacon chain consensus layer dev chain dev chain key features key features more efficient state storage more efficient state storage faster initial sync faster initial sync json rpc daemon json rpc daemon run all components by docker compose run all components by docker compose grafana dashboard grafana dashboard documentation documentation faq faq getting in touch getting in touch erigon discord server erigon discord server reporting security issues concerns reporting security issues concerns team team known issues known issues htop shows incorrect memory usage htop shows incorrect memory usage te disclaimer this software is currently a tech preview we will do our best to keep it stable and make no breaking changes but we don t guarantee anything things can and will break important defaults erigon is an archive node by default to remove history see prune flags in erigon help we don t allow change this flag after first start code in depth links are marked by the microscope sign code system requirements for an archive node of ethereum mainnet we recommend 3tb storage space 1 8tb state as of march 2022 200gb temp files can symlink or mount folder datadir temp to another disk ethereum mainnet full node see prune flags 400gb april 2022 goerli full node see prune flags 189gb on beta 114gb on alpha april 2022 gnosis chain archive 600gb october 2023 polygon mainnet archive 5tb april 2022 prune older 15768000 5 1tb sept 2023 polygon mumbai archive 1tb april 2022 ssd or nvme do not recommend hdd on hdd erigon will always stay n blocks behind chain tip but not fall behind bear in mind that ssd performance deteriorates when close to capacity ram 16gb 64 bit architecture golang version 1 20 https golang org doc install gcc 10 or clang on linux kernel v4 code more details on disk storage here https erigon substack com p disk footprint changes in new erigon s r and here https ledgerwatch github io turbo geth release html disk space code usage getting started for building the latest release this will be suitable for most users just wanting to run a node sh git clone branch release x xx single branch https github com ledgerwatch erigon git cd erigon make erigon build bin erigon you can check the list of releases https github com ledgerwatch erigon releases for release notes for building the bleeding edge development branch sh git clone recurse submodules https github com ledgerwatch erigon git cd erigon git checkout devel make erigon build bin erigon default snapshots for mainnet goerli gnosis chiado other networks now have default snapshots false increase download speed by flag torrent download rate 20mb code see downloader docs cmd downloader readme md code use datadir to choose where to store data use chain gnosis for gnosis chain https www gnosis io chain bor mainnet for polygon mainnet and chain mumbai for polygon mumbai for gnosis chain you need a consensus layer beacon chain consensus layer client alongside erigon https docs gnosischain com node guide beacon running make help will list and describe the convenience commands available in the makefile makefile datadir structure chaindata recent blocks state recent state history low latency disk recommended snapshots old blocks old state history can symlink mount it to cheaper disk mostly immutable must have 100gb free space for merge recent files to bigger one temp can grow to 100gb but usually empty can symlink mount it to cheaper disk txpool pending transactions safe to remove nodes p2p peers safe to remove logging flags verbosity log console verbosity overriding alias for verbosity log json log console json alias for log json log dir path log dir prefix log dir verbosity log dir json in order to log only to the stdout stderr the verbosity or log console verbosity flag can be used to supply an int value specifying the highest output log level lvlcrit 0 lvlerror 1 lvlwarn 2 lvlinfo 3 lvldebug 4 lvltrace 5 to set an output dir for logs to be collected on disk please set log dir path if you want to change the filename produced from erigon you should also set the log dir prefix flag to an alternate name the flag log dir verbosity is also available to control the verbosity of this logging with the same int value as above or the string value e g debug or info default verbosity is debug 4 for disk logging log format can be set to json by the use of the boolean flags log json or log console json or for the disk output log dir json modularity erigon by default is all in one binary solution but it s possible start txpool as separated processes same true about json rpc layer rpcdaemon p2p layer sentry history download layer downloader consensus don t start services as separated processes unless you have clear reason for it resource limiting scale replace by your own implementation security how to start erigon s services as separated processes see in docker compose yml docker compose yml embedded consensus layer on ethereum mainnet g rli and sepolia the engine api can be disabled in favour of the erigon native embedded consensus layer if you want to use the internal consensus layer run erigon with flag internalcl warning staking block production is not possible with the embedded cl testnets if you would like to give erigon a try but do not have spare 2tb on your drive a good option is to start syncing one of the public testnets g rli it syncs much quicker and does not take so much disk space sh git clone recurse submodules j8 https github com ledgerwatch erigon git cd erigon make erigon build bin erigon datadir your datadir chain goerli please note the datadir option that allows you to store erigon files in a non default location in this example in goerli subdirectory of the current directory name of the directory datadir does not have to match the name of the chain in chain block production pow miner or pos validator disclaimer not supported tested for gnosis chain and polygon network in progress support only remote miners to enable add mine miner etherbase or mine miner miner sigkey flags other supported options miner extradata miner notify miner gaslimit miner gasprice miner gastarget json rpc supports methods eth coinbase eth hashrate eth mining eth getwork eth submitwork eth submithashrate json rpc supports websocket methods newpendingtransaction todo we don t broadcast mined blocks to p2p network yet but it s easy to accomplish https github com ledgerwatch erigon blob 9b8cdc0f2289a7cef78218a15043de5bdff4465e eth downloader downloader go l673 eth newpendingtransactionfilter eth newblockfilter eth newfilter websocket logs code detailed explanation is here docs mining md code windows windows users may run erigon in 3 possible ways build executable binaries natively for windows using provided wmake ps1 powershell script usage syntax is the same as make command so you have to run wmake ps1 target targetname example wmake ps1 erigon builds erigon executable all binaries are placed in build bin subfolder there are some requirements for a successful native build on windows git https git scm com downloads for windows must be installed if you re cloning this repository is very likely you already have it go programming language https golang org dl must be installed minimum required version is 1 20 gnu cc compiler at least version 10 is highly suggested that you install chocolatey package manager see following point if you need to build mdbx tools i e wmake ps1 db tools then chocolatey package manager https chocolatey org for windows must be installed by chocolatey you need to install the following components cmake make mingw by choco install cmake make mingw make sure windows system path variable has c programdata chocolatey lib mingw tools install mingw64 bin important note about anti viruses during mingw s compiler detection phase some temporary executables are generated to test compiler capabilities it s been reported some anti virus programs detect those files as possibly infected by win64 kryptic cis trojan horse or a variant of it although those are false positives we have no control over 100 vendors of security products for windows and their respective detection algorithms and we understand this might make your experience with windows builds uncomfortable to workaround the issue you might either set exclusions for your antivirus specifically for build bin mdbx cmakefiles sub folder of the cloned repo or you can run erigon using the following other two options use docker see docker compose yml docker compose yml use wsl windows subsystem for linux strictly on version 2 under this option you can build erigon just as you would on a regular linux distribution you can point your data also to any of the mounted windows partitions eg mnt c mnt d etc but in such case be advised performance is impacted this is due to the fact those mount points use drvfs which is a network file system blocks execution is slow on cloud network drives and additionally mdbx locks the db for exclusive access which implies only one process at a time can access data this has consequences on the running of rpcdaemon which has to be configured as remote db for remote db even if it is executed on the very same computer if instead your data is hosted on the native linux filesystem non limitations apply please also note the default wsl2 environment has its own ip address which does not match the one of the network interface of windows host take this into account when configuring nat for port 30303 on your router using toml or yaml config files you can set erigon flags through a yaml or toml configuration file with the flag config the flags set in the configuration file can be overwritten by writing the flags directly on erigon command line example build bin erigon config config yaml chain goerli assuming we have chain mainnet in our configuration file by adding chain goerli allows the overwrite of the flag inside of the yaml configuration file and sets the chain to goerli toml example of setting up toml config file datadir your datadir port 1111 chain mainnet http true private api addr localhost 9090 http api eth debug net yaml example of setting up a yaml config file datadir your datadir port 1111 chain mainnet http true private api addr localhost 9090 http api eth debug net beacon chain consensus layer erigon can be used as an execution layer el for consensus layer clients cl default configuration is ok if your cl client is on a different device add authrpc addr 0 0 0 0 engine api listens on localhost by default as well as authrpc vhosts cl host where cl host is your source host or any engine api https github com ethereum execution apis blob main src engine in order to establish a secure connection between the consensus layer and the execution layer a jwt secret key is automatically generated the jwt secret key will be present in the datadir by default under the name of jwt hex and its path can be specified with the flag authrpc jwtsecret this piece of info needs to be specified in the consensus layer as well in order to establish connection successfully more information can be found here https github com ethereum execution apis blob main src engine authentication md once erigon is running you need to point your cl client to erigon address 8551 where erigon address is either localhost or the ip address of the device running erigon and also point to the jwt secret path created by erigon multiple instances one machine define 6 flags to avoid conflicts datadir port http port authrpc port torrent port private api addr example of multiple chains on the same machine mainnet build bin erigon datadir your mainnet data path chain mainnet port 30303 http port 8545 authrpc port 8551 torrent port 42069 private api addr 127 0 0 1 9090 http ws http api eth debug net trace web3 erigon sepolia build bin erigon datadir your sepolia data path chain sepolia port 30304 http port 8546 authrpc port 8552 torrent port 42068 private api addr 127 0 0 1 9091 http ws http api eth debug net trace web3 erigon quote your path if it has spaces dev chain code detailed explanation is dev chain dev chain md code key features code see more detailed overview of functionality and current limitations https ledgerwatch github io turbo geth release html it is being updated on recurring basis code more efficient state storage flat kv storage erigon uses a key value database and storing accounts and storage in a simple way code see our detailed db walkthrough here docs programmers guide db walkthrough md code preprocessing for some operations erigon uses temporary files to preprocess data before inserting it into the main db that reduces write amplification and db inserts are orders of magnitude quicker code see our detailed etl explanation here https github com ledgerwatch erigon lib blob main etl readme md code plain state single accounts state trie erigon uses a single merkle trie for both accounts and the storage faster initial sync erigon uses a rearchitected full sync algorithm from go ethereum https github com ethereum go ethereum that is split into stages code see more detailed explanation in the staged sync readme eth stagedsync readme md code it uses the same network primitives and is compatible with regular go ethereum nodes that are using full sync you do not need any special sync capabilities for erigon to sync when reimagining the full sync with focus on batching data together and minimize db overwrites that makes it possible to sync ethereum mainnet in under 2 days if you have a fast enough network connection and an ssd drive examples of stages are downloading headers downloading block bodies recovering senders addresses executing blocks validating root hashes and building intermediate hashes for the state merkle trie json rpc daemon most of erigon s components txpool rpcdaemon snapshots downloader sentry can work inside erigon and as independent process to enable built in rpc server http and ws sharing same port with http run rpcdaemon as separated process this daemon can use local db with running erigon or on snapshot of a database or remote db run on another server code see rpc daemon docs cmd rpcdaemon readme md code for remote db this works regardless of whether rpc daemon is on the same computer with erigon or on a different one they use tpc socket connection to pass data between them to use this mode run erigon in one terminal window sh make erigon build bin erigon private api addr localhost 9090 http false make rpcdaemon build bin rpcdaemon private api addr localhost 9090 http api eth erigon web3 net debug trace txpool grpc ports 9090 erigon 9091 sentry 9092 consensus engine 9093 torrent downloader 9094 transactions pool supported json rpc calls eth cmd rpcdaemon commands eth api go debug cmd rpcdaemon commands debug api go net cmd rpcdaemon commands net api go web3 cmd rpcdaemon commands web3 api go for a details on the implementation status of each command see this table cmd rpcdaemon readme md rpc implementation status run all components by docker compose docker allows for building and running erigon via containers this alleviates the need for installing build dependencies onto the host os optional setup dedicated user user uid gid need to be synchronized between the host os and container so files are written with correct permission you may wish to setup a dedicated user group on the host os in which case the following make targets are available sh create erigon user make user linux or make user macos environment variables there is a env example file in the root of the repo docker uid the uid of the docker user docker gid the gid of the docker user xdg data home the data directory which will be mounted to the docker containers if not specified the uid gid will use the current user a good choice for xdg data home is to use the erigon ethereum directory created by helper targets make user linux or make user macos check permissions in all cases xdg data home specified or default must be writeable by the user uid gid in docker which will be determined by the docker uid and docker gid at build time if a build or service startup is failing due to permissions check that all the directories uid and gid controlled by these environment variables are correct run next command starts erigon on port 30303 rpcdaemon on port 8545 prometheus on port 9090 and grafana on port 3000 sh will mount local share erigon to home erigon local share erigon inside container make docker compose or if you want to use a custom data directory or if you want to use different uid gid for a dedicated user to solve this pass in the uid gid parameters into the container docker uid the user id docker gid the group id xdg data home the data directory default local share note preferred data folder must be read writeable on host os by user with uid gid given if you followed above instructions note uid gid syntax below will automatically use uid gid of running user so this syntax is intended to be run via the dedicated user setup earlier docker uid id u docker gid id g xdg data home preferred data folder docker buildkit 1 compose docker cli build 1 make docker compose if you want to run the docker but you are not logged in as the erigon user then you ll need to adjust the syntax above to grab the correct uid gid to run the command via another user use erigon user erigon sudo u erigon user docker uid id u erigon user docker gid id g erigon user xdg data home erigon user ethereum docker buildkit 1 compose docker cli build 1 make docker compose makefile creates the initial directories for erigon prometheus and grafana the pid namespace is shared between erigon and rpcdaemon which is required to open erigon s db from another process rpcdaemon local mode see https github com ledgerwatch erigon pull 2392 files if your docker installation requires the docker daemon to run as root which is by default you will need to prefix the command above with sudo however it is sometimes recommended running docker and therefore its containers as a non root user for security reasons for more information about how to do this refer to this article https docs docker com engine install linux postinstall manage docker as a non root user windows support for docker compose is not ready yet please help us with ps1 port grafana dashboard docker compose up prometheus grafana detailed docs cmd prometheus readme md old data disabled by default to enable see build bin erigon help for flags prune documentation the docs directory includes a lot of useful but outdated documentation for code located in the cmd directory their respective documentation can be found in cmd readme md a more recent collation of developments and happenings in erigon can be found in the erigon blog https erigon substack com faq how much ram do i need baseline ext4 ssd 16gb ram sync takes 6 days 32gb 5 days 64gb 4 days 1 day on zfs compression off 2 days on zfs compression on 2x compression ratio 3 days on btrfs 1 day on nvme detailed explanation docs programmers guide db faq md docs programmers guide db faq md default ports and firewalls erigon ports component port protocol purpose should expose engine 9090 tcp grpc server private engine 42069 tcp udp snap sync bittorrent public engine 8551 tcp engine api jwt auth private sentry 30303 tcp udp eth 68 peering public sentry 30304 tcp udp eth 67 peering public sentry 9091 tcp incoming grpc connections private rpcdaemon 8545 tcp http websockets graphql private typically 30303 and 30304 are exposed to the internet to allow incoming peering connections 9090 is exposed only internally for rpcdaemon or other connections e g rpcdaemon erigon port 8551 jwt authenticated is exposed only internally for engine api json rpc queries from the consensus layer node caplin ports component port protocol purpose should expose sentinel 4000 udp peering public sentinel 4001 tcp peering public if you are using internalcl aka caplin as your consensus client then also look at the chart above shared ports component port protocol purpose should expose all 6060 tcp pprof private all 6060 tcp metrics private optional flags can be enabled that enable pprof or metrics or both however they both run on 6060 by default so you ll have to change one if you want to run both at the same time use help with the binary for more info other ports reserved for future use grpc ports 9092 consensus engine 9093 snapshot downloader 9094 txpool hetzner expecting strict firewall rules 0 0 0 0 8 this network rfc 1122 section 3 2 1 3 10 0 0 0 8 private use networks rfc 1918 100 64 0 0 10 carrier grade nat cgn rfc 6598 section 7 127 16 0 0 12 private use networks rfc 1918 169 254 0 0 16 link local rfc 3927 172 16 0 0 12 private use networks rfc 1918 192 0 0 0 24 ietf protocol assignments rfc 5736 192 0 2 0 24 test net 1 rfc 5737 192 88 99 0 24 6to4 relay anycast rfc 3068 192 168 0 0 16 private use networks rfc 1918 198 18 0 0 15 network interconnect device benchmark testing rfc 2544 198 51 100 0 24 test net 2 rfc 5737 203 0 113 0 24 test net 3 rfc 5737 224 0 0 0 4 multicast rfc 3171 240 0 0 0 4 reserved for future use rfc 1112 section 4 255 255 255 255 32 limited broadcast rfc 919 section 7 rfc 922 section 7 same in iptables syntax https ethereum stackexchange com questions 6386 how to prevent being blacklisted for running an ethereum client 13068 13068 how to get diagnostic for bug report get stack trace kill sigusr1 pid get trace and stop kill 6 pid get cpu profiling add pprof flag run go tool pprof png http 127 0 0 1 6060 debug pprof profile seconds 20 cpu png get ram profiling add pprof flag run go tool pprof inuse space png http 127 0 0 1 6060 debug pprof heap mem png how to run local devnet code detailed explanation is here dev chain md code docker permissions error docker uses user erigon with uid gid 1000 for security reasons you can see this user being created in the dockerfile can fix by giving a host s user ownership of the folder where the host s user uid gid is the same as the docker s user uid gid 1000 more details in post https www fullstaq com knowledge hub blogs docker and the host filesystem owner matching problem how to run public rpc api txpool nolocals true don t add admin in http api list to increase throughput may need increase decrease db read concurrency rpc batch concurrency rpc batch limit run raspberypi https github com mathmakesart erigon on rpi 4 how to change db pagesize post https github com ledgerwatch erigon blob devel cmd integration readme md copy data to another db getting in touch erigon discord server the main discussions are happening on our discord server to get an invite send an email to bloxster at proton me with your name occupation a brief explanation of why you want to join the discord and how you heard about erigon reporting security issues concerns send an email to security at torquem ch known issues htop shows incorrect memory usage erigon s internal db mdbx using memorymap when os does manage all read write cache operations instead of application linux https linux kernel labs github io refs heads master labs memory mapping html windows https docs microsoft com en us windows win32 memory file mapping htop on column res shows memory of app os used to hold page cache for given app but it s not informative because if htop says that app using 90 of memory you still can run 3 more instances of app on the same machine because most of that 90 is os pages cache os automatically frees this cache any time it needs memory smaller page cache size may not impact performance of erigon at all next tools show correct memory usage of erigon vmmap summary pid grep i physical footprint without grep you can see details section malloc zone column resident size shows app memory usage section region type column resident size shows os pages cache size prometheus dashboard shows memory of go app without os pages cache make prometheus open in browser localhost 3000 credentials admin admin cat proc pid smaps erigon uses 4gb of ram during genesis sync and 1gb during normal work os pages cache can utilize unlimited amount of memory warning multiple instances of erigon on same machine will touch disk concurrently it impacts performance one of main erigon optimisations reduce disk random access blocks execution stage still does many random reads this is reason why it s slowest stage we do not recommend running multiple genesis syncs on same disk if genesis sync passed then it s fine to run multiple erigon instances on same disk blocks execution is slow on cloud network drives please read https github com ledgerwatch erigon issues 1516 issuecomment 811958891 in short network disks are bad for blocks execution because blocks execution reading data from db non parallel non batched way filesystem s background features are expensive for example btrfs s autodefrag option may increase write io 100x times gnome tracker can kill erigon gnome tracker https wiki gnome org projects tracker detecting miners and kill them the mount option requires buildkit error for anyone else that was getting the buildkit error when trying to start erigon the old way you can use the below xdg data home preferred data folder docker buildkit 1 compose docker cli build 1 make docker compose | ethereum blockchain | blockchain |
FoodShare | foodshare an app which allows user to share food pics with each other using firebase as backend currently under development | server |
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vitamin-android | important this current version of vitamin will no longer evolve and only accept bug fixes from now on more details here https github com decathlon vitamin design blob main important note md br p align center img width 300px src https user images githubusercontent com 9600228 102414461 e3b92b00 3ff6 11eb 9c96 5f37c4d5e02c png gh light mode only alt vitamin decathlon design system logo img width 300px src https user images githubusercontent com 9600228 147513091 66fcc204 279b 4140 9be5 c16744c0f637 png gh dark mode only alt vitamin decathlon design system logo p h1 align center vitamin android h1 p align center decathlon design system libraries for android applications p p align center a href https www decathlon design website a p p align center a aria label contributors graph href https github com decathlon vitamin android graphs contributors img src https img shields io github contributors decathlon vitamin android svg a a aria label last commit href https github com decathlon vitamin android commits img alt src https img shields io github last commit decathlon vitamin android svg a a aria label license href https github com decathlon vitamin android blob main license img src https img shields io github license decathlon vitamin android svg alt a a aria label bitrise build main branch href https app bitrise io app 62ac2962b2dd627a img src https app bitrise io app 62ac2962b2dd627a status svg token glchgxawv2t4iitzit43 a branch main alt a a aria label slack href https join slack com t decathlon design shared invite zt 13kxb50ar ihzqv olsu4 nckepj5c4g img src https img shields io badge slack decathlon 20design 20system purple svg logo slack alt a p introduction android decathlon design system libraries are based on material design components described on the official documentation https material io and developed in a library https github com material components material components android maintained by google developers and designers but these native components are overridden to respect decathlon s visual identity you ll find the design specifications and technical information for supported platforms by decathlon on decathlon design https www decathlon design if you are interested by a sample you can install a demo with sample module in the technical project getting started to start using vitamin in your app you can check the vitamin module documentation https github com decathlon vitamin android tree main vitamin artifacts group description com decathlon vitamin appbars build uis with ready to use appbars components com decathlon vitamin buttons build uis with ready to use button components com decathlon vitamin checkboxes build uis with ready to use checkbox components com decathlon vitamin chips build uis with ready to use chip components com decathlon vitamin dividers build uis with ready to use divider component com decathlon vitamin fabs build uis with ready to use floatingactionbutton components com decathlon vitamin foundation fundamental components of ui with texts and colors com decathlon vitamin foundation assets fundamental components of ui for iconography com decathlon vitamin foundation icons fundamental components of ui for assets com decathlon vitamin menus build uis with ready to use menu components com decathlon vitamin modals build uis with ready to use modal components com decathlon vitamin prices build uis with ready to use price component com decathlon vitamin progressbars build uis with ready to use progressbar components com decathlon vitamin radiobuttons build uis with ready to use radiobutton components com decathlon vitamin ratings build uis with ready to use rating components com decathlon vitamin skeleton build uis with ready to use skeleton components com decathlon vitamin snackbars build uis with ready to use snackbar component com decathlon vitamin switches build uis with ready to use switch components com decathlon vitamin tabs build uis with ready to use tabs components com decathlon vitamin tags build uis with ready to use tag components com decathlon vitamin textinputs build uis with ready to use textinput components com decathlon vitamin build uis with ready to use decathlon s visual identity components download release artifacts are available on maven central check the release page https github com decathlon vitamin android releases to know what is the latest release version of vitamin artifacts kotlin repositories mavencentral implementation com decathlon vitamin vitamin last version if you want to test latest changes merge in main branch you can test vitamin android from snapshot artifacts but we don t recommend to use theses artifacts in production where you can have regressions or breaking changes until the next official release kotlin repositories maven url uri https oss sonatype org content repositories snapshots implementation com decathlon vitamin vitamin latest major 1 0 0 snapshot if you have any question about the versioning of this project you can just read our documentation https github com decathlon vitamin android tree main versioning md about it special thanks thank you to the contributors https github com decathlon vitamin android graphs contributors involved in these vitamin android libraries a href https github com decathlon vitamin android graphs contributors img src https contrib rocks image repo decathlon vitamin android a thank you also remix icon https remixicon com because vitamix icons is the official decathlon icon library based on their open source icon library https github com remix design remixicon remix design 2020 this original library is under the license apache 2 0 and has been modified by decathlon learn more https www decathlon design 726f8c765 p 58575f vitamix license license copyright 2021 decathlon licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache org licenses license 2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license | android components design mobile design-system decathlon vitamin material-design android-library | os |
AmicaleINSA | amicale insa ios overview this application is aimed to help the student of the french engineering school insa toulouse it provides the following services chat campus news school planning connection to washing machine push notification here is a full demonstration of the ios application http i imgur com i2dohil gif chat realtime chat using jsqmessagesviewcontroller and firebase backend you can send texts and images associated with a pseudo you can also see the number of users currently using the chat service http i imgur com wktgoet gif news with push notification students are always kept informed students can receive a news with or without picture with or without a body http i imgur com 5qpw37k gif settings users can set information in this area like the pseudo for the chat or the school group in order to access the planning users are able to set a profile picture http i imgur com utwg3g1 gif planning students are able to look at their school planning of the current week and navigate forward and backward in the time http i imgur com zzwdwau gif washinsa users of this application can check in realtime the state of all the washing machine of the campus they can set an alarm just by sliding their washing machine they will receive a notification saying that their clothes are ready http i imgur com i3egfby gif notification managers of the student association of the school have an access to a nodejs reactjs website allowing them to manage the news send notification with or without picture text | os |
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llm | llm large language models to get the more understanding on why we subtract the mean and divide by variance is given below subtract the mean suppose we have a temp scale of c and kelvin scales subtract the mean from the data will remove the influence of the scale on the data and making the mean of the data to 0 but still there will be effect of the degree in respective scales to remove that too we divide by the variance so that it will be independant of the scales this is called z score which is commonly used in ml to standardize the data available to us for more such on mean and variance kindly refer https math stackexchange com questions 317114 what is the purpose of subtracting the mean from data when standardizing | ai |
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chatdev | p align center img src screenshots chatdev png p h1 align center chatdev visualize your ai agent h1 div align center author author image author url license license image license url release release image release url last commit last commit image last commit url english nbsp nbsp nbsp nbsp indonesia readme in md nbsp nbsp nbsp nbsp readme zh cn md nbsp nbsp nbsp nbsp readme zh tw md nbsp nbsp nbsp nbsp readme ja md install a href https chrome google com webstore detail chatdev visualize your ai dopllopmmfnghbahgbdejnkebfcmomej utm source github img src screenshots chrome logo png width 200 alt get chatdev for chromium a a href https microsoftedge microsoft com addons detail ceoneifbmcdiihmgfjeodiholmbpmibm utm source github img src screenshots edge logo png width 160 alt get chatdev for microsoft edge a screenshot screenshot nbsp nbsp nbsp nbsp features features nbsp nbsp nbsp nbsp bots bots nbsp nbsp nbsp nbsp installation installation nbsp nbsp nbsp nbsp changelog changelog author image https img shields io badge author 10cl blue svg author url https github com 10cl license image https img shields io github license 10cl chatdev color blue license url https github com 10cl chatdev blob main license release image https img shields io github v release 10cl chatdev color blue release url https github com 10cl chatdev releases latest last commit image https img shields io github last commit 10cl chatdev label last 20commit last commit url https github com 10cl chatdev commits div chatdev is an integrated multiple large language model chrome extension that supports chat mode and game mode you can personalize these ai agents and use visualized prompt flow to let multi persona self collaboration screenshot game prompt flow png screenshots game prompt flow png chat prompt flow gif screenshots chat prompt flow gif features use different chatbots in one application which currently supports chatgpt the new bing chat google bard claude and more than 10 open source models invoking large model interfaces in the browser in the form of webapis requires no code capability interact with npcs in the form of games and discuss real needs customize prompts npcs location and custom prompt flows brain of their actions once prompt flow is enabled express your needs in one sentence and npcs will be automatically selected to form teams perform quests and present them in an interactive gameplay style bots supported chatgpt iflytek spark bing bard claude chatglm alpaca vicuna koala dolly llama stablelm openassistant chatrwkv installation 1 install from web store 1 search for chatdev https chrome google com webstore detail chatdev dopllopmmfnghbahgbdejnkebfcmomej in the chrome web store https chrome google com webstore category extensions and click install 2 search for chatdev https microsoftedge microsoft com addons detail chatdev visualize your a ceoneifbmcdiihmgfjeodiholmbpmibm in the microsoft edge extensions https microsoftedge microsoft com addons microsoft edge extensions home and click get 2 manual installation 1 download chatdev1 1 3 zip from the releases page 2 extract the files 3 in chrome edge open the extensions page chrome extensions or edge extensions 4 enable developer mode 5 drag and drop the extracted folder onto the page to import it do not delete the folder after importing 3 build from source code clone the source code run yarn install to install dependencies run yarn build to build the plugin follow the steps in manual installation to load the dist folder into your browser changelog v1 1 3 flow dag yaml prompt type add config prompt type that is do not send this node to the large model and directly return the path content for parsing add planning task team org configuration of npc participating in the meeting mouse over the markers npcs furniture etc to display prompt description and edit button default speed increased from 0 5 to 1 and reduced to 0 5 when chatting with npcs when starting a round table automatically select the appropriate meeting address draw the area of the meeting and temporarily stop the player action the round table automatically ends when the player leaves the round table area when you get close to an npc draw the area of the chat when the npc is less than 400 away from the player the current activity record is not output the distance is less than 100 and the chat is automatically requested and the chat is automatically ended when the npc is out of the chat area 200 the icon in the upper left corner only keeps the button to control the volume and cancelling the switch and one click home function of the control prompt reduce the location change of the mark point and support the mark address can be customized prompt the location is defined as position base64 xxx chat record storage is changed from localstorage to indexdb to prevent temporary over limit problems fixed an issue where the time loop would return home issue with modified air cannon messages v1 1 1 prompt flow double click the editable node import or export all configurations prompt library sharing v1 1 0 support for multiple large language models customization of user roles support for custom prompts actions plans etc new visual editing for custom prompt flow support for switching between chat view and game view predefined prompt flows enabling one sentence requests to automatically select npcs form teams execute tasks and gamify presentations settings button for customizing apis and selecting preferred models fixed api issues with iflytek spark model v1 0 1 added support for iflytek spark cognitive large language model v1 0 0 initial release of the ai town plugin based on chatgpt acknowledgments we sincerely thank the following projects for providing inspiration and reference generative agents https github com joonspk research generative agents chathub https github com chathub dev chathub whether you want to explore the wonders of different large language models or create your own virtual town life chatdev will be your reliable assistant install it now and start exploring | ai chrome-extension llm-inference phaser3 generative-agents ai-agents chatdev prompt-flow | ai |
nlp-akash | nlp akash natural language processing notes and implementations br learning notes nlp learning https github com akashp1712 nlp akash blob master nlp learning md note if you like my work please support by adding yourself for lessentext https yep so p lessentextai ref github beta program p align center img src docs images nlp jpg alt natural language processing width 900 height 450 p text summarization algorithms 1 summarization implementation using word frequency open in streamlit https static streamlit io badges streamlit badge black white svg https share streamlit io akashp1712 streamlit text summarization main app py br code word frequency summarization https github com akashp1712 nlp akash blob master text summarization word frequency summarization py br article text summarization in 5 steps using nltk https becominghuman ai text summarization in 5 steps using nltk 65b21e352b65 2 summarization implementation using tf idf algorithm open in streamlit https static streamlit io badges streamlit badge black white svg https share streamlit io akashp1712 streamlit text summarization main app py br code tf idf summarization https github com akashp1712 nlp akash blob master text summarization tf idf summarization py br article text summarization using tf idf https towardsdatascience com text summarization using tf idf e64a0644ace3 3 fetch top sentences using textrank algorithm code textrank for sentences https github com akashp1712 nlp akash blob master text summarization text rank sentences py br article sentence extraction in python using textrank algorithm https medium com analytics vidhya sentence extraction using textrank algorithm 7f5c8fd568cd projects 1 summarize webapge from the given url code https github com akashp1712 summarize webpage https github com akashp1712 summarize webpage | summarization text-summarization nlp-akash natural-language-processing nltk nlp | ai |
fluent-design | fluent a css framework based on fluent design system by microsoft | os |
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FrontEnd-and-Backend-Template | frontend and backend template frontend amp backend development app laravel 7 app | server |
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llm-metadata-extraction | llm metadata extraction experiment on metadata extraction using large language models the experiment itself is in the jupyter notebook extractmetadatausingfinetunedgpt3 ipynb extractmetadatausingfinetunedgpt3 ipynb which you can view directly on github without installing anything if you want to run it yourself see the bottom of this page data set the aim of the experiment is to extract metadata from recent 2021 2022 doctoral theses obtain from four finnish universities bo akademi university of turku university of vaasa and lappeenranta lahti university of technology using only the raw text from the first few pages of the pdf the set of 192 documents 88 english 7 finnish 5 swedish language will be split into two subsets train 149 test 43 we will extract the text from around 5 pages of text aiming for 500 to 700 words the corresponding metadata which has been exported from dspace repositories of the universities is represented in a simple textual key value format which should be easy enough for a language model to handle the train set is used to create a data set which will then be used to fine tune a gpt 3 curie model subsequently the model can be used to generate similar metadata for unseen documents from the test set example output here is diff output showing the difference between the original manually created metadata red and the output of the model green with some comments after each example these are all documents from the test set that the model has never seen before university of vaasa diff https osuva uwasa fi handle 10024 11207 title how to apply technology knowledge and operations decision models for strategically sustainable resource allocation title alternative kuinka soveltaa teknologiaan tietoon ja tuotantoon liittyv n p t ksenteon malleja strategisesti kest v n resurssien allokointiin title alternative kuinka soveltaa teknologiaan tietoon ja tuotantoon liittyv p t ksen teon malleja strategisesti kest v n resurssien allokointiin contributor faculty fi tekniikan ja innovaatiojohtamisen yksikk en school of technology and innovations contributor author tilabi sara contributor organization fi vaasan yliopisto en university of vaasa publisher vaasan yliopisto date issued 2020 relation issn 2323 9123 relation issn 0355 2667 relation isbn 978 952 476 915 0 relation ispartofseries acta wasaensia relation numberinseries 445 comment the generated metadata is perfect except for a small mistake in the title diff https osuva uwasa fi handle 10024 10432 title persoonallinen ajattelu p ttelyss ja p t ksenteossa title alternative personal thinking in reasoning and decision making title alternative personal thinking in judgment and decision making contributor faculty fi tekniikan ja innovaatiojohtamisen yksikk en school of technology and innovations contributor author alho tapio contributor organization fi vaasan yliopisto en university of vaasa publisher vaasan yliopisto date issued 2020 relation issn 2323 9123 relation issn 0355 2667 relation isbn 978 952 476 903 7 relation ispartofseries acta wasaensia relation numberinseries 440 comment the language model seems to have translated the finnish title into english on its own instead of picking up the english language title from the publication as it was written by the author university of turku diff https www utupub fi handle 10024 152860 title essays on income inequality and financial incentives to work title esa income inequality and financial incentives to work contributor faculty fi turun kauppakorkeakoulu en turku school of economics contributor author ollonqvist joonas publisher fi turun yliopisto turun kauppakorkeakoulu en university of turku turku school of economics date issued 2021 date issued 2022 relation issn 2343 3167 relation ispartofseries turun yliopiston julkaisuja annales universitatis turkuensis ser e oeconomica relation numberinseries 82 comment the title is a bit off and the model thinks the publication is newer than it really is both are clearly indicated in the pdf diff https www utupub fi handle 10024 152852 title run time management of many core socs a communication centric approach title run time management of many core systems a communication centric approach contributor faculty fi teknillinen tiedekunta en faculty of technology contributor author fattah mohammad publisher fi turun yliopisto en university of turku date issued 2021 relation issn 2736 9684 relation ispartofseries turun yliopiston julkaisua annales universitatis turkuensis ser f technica informatica relation ispartofseries turun yliopiston julkaisuja annales universitatis turkuensis ser f technica informatica relation numberinseries 7 comment the title is a bit off the model has turned socs meaning systems on chip into systems with no good reason the series title is different too but in this case the original metadata had a typo and the model got it right bo akademi university diff https www doria fi handle 10024 181280 title production and testing of magnesium carbonate hydrates for thermal energy storage tes application title production and testing of magnesium carbonate hydrates for thermal energy storage tes application contributor faculty faculty of science and engineering contributor faculty fakulteten f r naturvetenskaper och teknik contributor faculty luonnontieteiden ja tekniikan tiedekunta contributor author erlund rickard contributor opponent professor brian elmegaard technical university of denmark lyngby denmark contributor supervisor professor ron zevenhoven bo akademi university turku contributor opponent professor technical university of denmark lyngby denmark contributor supervisor professor bo akademi university turku contributor supervisor professor bo akademi university turku publisher bo akademi university date issued 2021 comment the title differs in case only the model couldn t extract the names of the opponent and supervisor diff https www doria fi handle 10024 181139 title coulometric transduction method for solid contact ion selective electrodes title coulometric transduction method for solid contact ion selective electrodes contributor faculty faculty of science and engineering contributor faculty fakulteten f r naturvetenskaper och teknik contributor faculty luonnontieteiden ja tekniikan tiedekunta contributor author han tingting contributor opponent professor agata michalska university of warsaw warsaw poland contributor supervisor professor johan bobacka bo akademi university bo contributor supervisor dr ulriika mattinen bo akademi university bo contributor supervisor docent zekra mousavi bo akademi university bo publisher bo akademi university date issued 2021 comment the title differs in case only lappeenranta lahti university of technology diff https lutpub lut fi handle 10024 163304 title responsible business practices in internationalized smes contributor faculty fi school of business and management en school of business and management contributor author uzhegova maria contributor organization lappeenrannan lahden teknillinen yliopisto lut contributor organization lappeenranta lahti university of technology lut contributor opponent rialp criado alex contributor reviewer rialp criado alex contributor reviewer andersson svante publisher lappeenranta lahti university of technology lut date issued 2021 relation issn 1456 4491 relation ispartofseries acta universitatis lappeenrantaensis comment the model extracted the publisher which was missing from original metadata diff https lutpub lut fi handle 10024 163258 title life cycle cost driven design for additive manufacturing the frontier to sustainable manufacturing in laser based powder bed fusion title life cycle cost driven design for additive manufacturing the frontier to sustainable manufacturing in laser based powder bed fusion contributor faculty fi school of energy systems en school of energy systems contributor author nyamekye patricia contributor organization lappeenrannan lahden teknillinen yliopisto lut contributor organization lappeenranta lahti university of technology lut contributor opponent hryha eduard contributor reviewer hryha eduard contributor reviewer mazzi anna publisher lappeenranta lahti university of technology lut date issued 2021 relation issn 1456 4491 relation ispartofseries acta universitatis lappeenrantaensis comment the only difference is the use of a colon with or without preceding space in the title installation this has been tested using python 3 10 on ubuntu 22 04 other recent python versions 3 8 3 9 will probably work too create a virtual environment and install the dependencies listed requirements txt python3 m venv venv source venv bin activate pip install r requirements txt running the notebook you will need to register an openai account same that you can use for chatgpt and generate an api key in the openai user interface store the key in an environment variable export openai api key my generated api key then start jupyter notebook jupyter notebook | ai |
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deep_coffee | deep coffee computer vision for coffee beans selection build status https travis ci com tauranis deep coffee svg branch master https travis ci com tauranis deep coffee https media giphy com media or0a0uc0ybyhzbq9qs giphy gif motivation coffee is the second most consumed beverage in the world behind only from water it arrived in 1727 in brazil which became the largest producer and exporter of beans on the planet as well as the second main consumer the country has consolidated itself as a business giant where the 2018 harvest was 45 million bags 60kg each with only 46 for home consumption in view of the above automation in grain selection shows to be useful as a way to increase the added value and quality of the final product for example a grain classified as gourmet by the brazilian coffee industry association abic may cost up to three times more than one classified as normal goal the goal of this post is to evaluate convolutional neural networks for the task of coffee beans classification in addition the database used in this work was built from scratch and is publicly available for reproducibility the source code and database are available here for free yet this is another repo out of a plethora regarding image classification and transfer learning as well the innovation doesn t necessarily come from the technique itself but the problem it solves database the database used for this work was built from scratch coffee beans were arranged on a flat white surface separated from each other the capture device used was a camera of a lenovo vibe k5 mobile phone arranged 10cm from the beans in addition a led flashlight was used to reduce any shadow effect caused by the natural sunlight for more complete info read this cool post https medium com swlh automation for coffee bean selection 79a6b32b88de obs it was chosen not to use object detection algorithms because this is has very controlled environment case with homogeneous background high contrast between background foreground lightening conditions and non overlapping objects although an object detection would work perfectly it would be overkill i wanted to show that computer vision is not only about deep learning althought i ve used a cnn for classification p we can solve simple problems with simple approaches installation install docker follow these steps https docs docker com install linux docker ce ubuntu install nvidia container toolkit or nvidia docker2 follow these steps https github com nvidia nvidia docker install the command below will download the dataset build the docker image and run the data preprocessing steps data augmentation and create tfrecords make install build docker image this is already performed if you previously have run make install docker build t deep coffee test if image was build correctly docker run rm gpus all deep coffee nvidia smi playground enter inside container docker run it v pwd deep coffee src deep coffee v pwd test src test v pwd dataset dataset v pwd trained models trained models v pwd keras pretrained models root keras models p 6006 6006 rm gpus all deep coffee bash run unit tests docker run rm gpus all deep coffee python m unittest discover s app test image proc crop beans this is already performed if you previously have run make install docker run v pwd dataset dataset rm gpus all deep coffee python m deep coffee image proc crop beans raw images dir dataset raw output dir dataset cropped data augmentation this is already performed if you previously have run make install up to this day only rotation is implemented todo saturation brightness noise gans rotate beans good beans docker run v pwd dataset dataset rm gpus all deep coffee python m deep coffee image proc data aug input dir dataset good output dir dataset good angle list 45 90 135 180 225 270 bad beans docker run v pwd dataset dataset rm gpus all deep coffee python m deep coffee image proc data aug input dir dataset bad output dir dataset bad angle list 45 90 135 180 225 270 generate tfrecords this is already performed if you previously have run make install docker run v pwd dataset dataset rm gpus all deep coffee python m deep coffee ml images to tfrecords output dir dataset tfrecords tft artifacts dir dataset tft artifacts good beans dir dataset good good beans list train dataset protocol good train txt good beans list eval dataset protocol good eval txt good beans list test dataset protocol good test txt bad beans dir dataset bad bad beans list train dataset protocol bad train txt bad beans list eval dataset protocol bad eval txt bad beans list test dataset protocol bad test txt image dim 224 n shards 10 ext jpg temp dir tmp decode dataset from tfrecords to images debug docker run v pwd dataset dataset v pwd trained models trained models v pwd deep coffee src deep coffee v pwd keras pretrained models root keras models rm gpus all deep coffee python m deep coffee ml decode tfrecord dataset tfrecord file dataset tfrecords train output dir dataset decoded tfrecords tft artifacts dir dataset tft artifacts train network beware when training resnet or vgg locally on your computer you re likely to get oom choose the batch size wisely export keras home trained models docker run v pwd dataset dataset v pwd trained models trained models v pwd deep coffee src deep coffee v pwd keras pretrained models root keras models rm gpus all deep coffee python m deep coffee ml train and evaluate output dir trained models tft artifacts dir dataset tft artifacts input dim 224 trainset len 1265 evalset len 264 testset len 278 config file app deep coffee ml config coffee net v1 yml learning rate 0 0001 batch size 8 project embeddings on tensorboard docker run v pwd dataset dataset v pwd trained models trained models v pwd deep coffee src deep coffee v pwd keras pretrained models root keras models rm gpus all deep coffee python m deep coffee ml project embeddings tfrecord path dataset tfrecords eval output dir trained models coffee net v1 20200112 210616 ckpt path trained models coffee net v1 20200112 210616 model hdf5 tft artifacts dir dataset tft artifacts layer name head dense 1 dataset len 264 input dim 224 make prediction from a savedmodel docker run v pwd dataset dataset v pwd trained models trained models v pwd deep coffee src deep coffee v pwd keras pretrained models root keras models rm gpus all deep coffee python m deep coffee ml load and test saved model model path trained models coffee net v1 20200112 230339 saved model sample image path dataset bad 1acf8679 d50f 446c b806 def7d073e244 135 jpg | ai |
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less-rails-bootstrap | less rails bootstrap build status https travis ci org metaskills less rails bootstrap png branch master https travis ci org metaskills less rails bootstrap bootstrap is twitter s toolkit for kickstarting your site or app s css it includes base styles for typography forms buttons tables grid layout navigation alerts and more to get started check out the bootstrap docs http getbootstrap com the less rails bootstrap project hooks into less rails http github com metaskills less rails and less rb http github com cowboyd less rb making bootstrap s source less files compiled css and javascript files available in the rails 3 x and 4 x asset pipeline the benefits assets are namespaced in twitter bootstrap to avoid asset conflicts top level requires to get all stylesheets or javascripts ability to import or require individually namespaced stylesheets or javascripts installation less requires a javascript runtime to work which one you use depends on your ruby implementation two are shown for ruby mri and jruby add only the relevant one to your gemfile if you want to use bootstrap s javascript plugins also add the jquery rails gem finally add less rails bootstrap and run bundle install ruby gemfile gem therubyracer if using ruby gem therubyrhino if using jruby gem jquery rails if using bootstrap s js plugins gem less rails bootstrap basic css use simple way get the full bootstrap stylesheet with a single line in your application css require twitter bootstrap advanced way in case when you just want to modify several less variables i e change text color etc and don t want to thinking about full control customization https github com metaskills less rails bootstrap test full control customization you can run rails generator rails generate less rails bootstrap custom bootstrap it generates three files app assets stylesheets custom bootstrap custom bootstrap less auto generated file base on bootstrap less file from original twitter bootstrap don t modify it app assets stylesheets custom bootstrap variables less in this file you can override twitter bootstrap variables or define own app assets stylesheets custom bootstrap mixins less in this file you can override twitter bootstrap mixins or define own then just add single line to application css require custom bootstrap custom bootstrap please see the less rails bootstrap test http github com metaskills less rails bootstrap test repo for examples that customize the css output by using less the css tests suites section of the readme and code is what you want to focus on also check out the less syntax http lesscss org basic javascript use in application js require jquery first now you can add all the bootstrap plugins with a single line require jquery require jquery ujs require twitter bootstrap or include plugins individually require jquery require jquery ujs require twitter bootstrap modal require twitter bootstrap alert versioning this gem will directly track the semantic versioning of the twitter bootstrap project our major and minor versions will always match to theirs though we may have tiny patch level releases specific to this gem contributing this gem is fully tested from rails 3 1 to 4 1 we run our tests on travis ci http travis ci org metaskills less rails boostrap in both ruby 1 9 2 0 2 1 and jruby 1 9 mode if you detect a problem open up a github issue or fork the repo and help out after you fork or clone the repository the following commands will get you up and running on the test suite shell bundle install bundle exec appraisal install bundle exec appraisal rake test we use the appraisal https github com thoughtbot appraisal gem from thoughtbot to help us generate the individual gemfiles for each rails version and to run the tests locally against each generated gemfile the appraisal rake test command actually runs our test suite against all rails versions in our appraisal file if you want to run the tests for a specific rails version use rake t for a list for example the following command will run the tests for rails 3 2 only shell bundle exec appraisal rails32 rake test our current build status is build status https secure travis ci org metaskills minitest spec rails png http travis ci org metaskills less rails bootstrap read more in our contributing https github com metaskills less rails bootstrap blob master contributing md file license twitter bootstrap project http twitter github com bootstrap copyright 2011 twitter inc licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license you may obtain a copy of the license at http www apache org licenses license 2 0 unless required by applicable law or agreed to in writing software distributed under the license is distributed on an as is basis without warranties or conditions of any kind either express or implied see the license for the specific language governing permissions and limitations under the license less rails is copyright c 2011 ken collins ken metaskills net and is distributed under the mit license | front_end |
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it | it information technology | server |
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CHP09-Unity-step-by-step- | chp09 unity step by step unity in embedded system design and robotics a step by step guide | os |
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SLING_Data_Code | sling sino linguistic evaluation of large language models arxiv https img shields io badge arxiv 2210 11689 b31b1b svg http arxiv org abs 2210 11689 this is the official codebase accompanying our emnlp 2022 paper sling sino linguistic evaluation of large language models you can find our paper on arxiv https arxiv org abs 2210 11689 sling dataset see sling data sling data and the readme file in it a complete list of all phenomea and paradigms can be found in phenomenonparadigmlist txt phenomenonparadigmlist txt sling code see sling code sling code and the readme file in it setup python m virtualenv sling venv source sling venv bin activate pip install torch torchvision currently this is the version compatible with cuda 10 1 pip install transformers pip install nltk to run the language models python sling code lm sling py python sling code pangu sling py python sling code gpt3 sling py python sling code byt5 sling py lstm sling py is included in sling code sling code for reference details of how to run the cluecorpussmall lstm language model can be found here https github com dbiir uer py wiki modelzoo citation information if you use sling please cite it as follows inproceedings sling22 author yixiao song and kalpesh krishna and rajesh bhatt and mohit iyyer booktitle empirical methods in natural language processing year 2022 title sling sino linguistic evaluation of large language models | ai |
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lluvia | low level unified vision algorithms lluvia lluvia ai https lluvia ai linux https github com jadarve lluvia workflows linux badge svg windows https github com jadarve lluvia workflows windows badge svg documentation status https readthedocs org projects lluvia badge version latest https lluvia io en latest badge latest circleci https circleci com gh jadarve lluvia tree master svg style svg https circleci com gh jadarve lluvia tree master lluvia is a computer vision engined designed for real time applications it uses the vulkan api to access the gpu and dispatch computations users can describe computations as a compute pipeline where nodes are compute shaders running on the gpu real time optical flow http img youtube com vi mrz6ydwb8fe 0 jpg https youtu be mrz6ydwb8fe this demo is for my real time optical flow algorithm running using lluvia on a gtx 1080 gpu for images of 1016x544 resolution computation take around 1 millisecond to complete supported platforms linux windows android work in progress try it out try the examples in google colab https drive google com drive folders 19isz8r22pwjy78llw4fqitsy2tiodxts usp sharing make sure the runtime is configured to gpu workflow lluvia uses a compute graph to organize and schedule computations on the gpu the development workflow circles around coding and debugging nodes in such a graph until the whole algorithm is built 1 the node s inputs outputs and parameters are described in a lua script https www lua org this description will later be used to instantiate nodes in the graph 2 the node s computation in the gpu is coded as a compute shader in open gl shading language glsl https www khronos org opengl wiki core language glsl shaders are compiled into spir v intemediate representation https www khronos org registry spir v for later load into the gpu 3 the node s description and compute shader are loaded into lluvia s runtime after this nodes can be instantiated to build the compute graph and be dispatched to the gpu from a user perspective one needs to only care about describing nodes inputs outputs compute shader etc and connecting nodes to form a graph lluvia takes care of the low level details of dispatching the graph for execution onto the gpu this workflow allows porting the compute graph from one platform to another with ease license apache 2 0 see license https github com jadarve lluvia blob master license for more details | vulkan computer-vision robotics gpu-computing gpgpu vulkan-engine engine gpu compute-shaders lluvia lua glsl | ai |
026_Pokemon_Index | 026 pok mon index original datasets from pok mon index https www kaggle com brendan45774 pokmon index database select pokemon csv pokemon https github com sit 2021 int214 026 pokemon index blob main img 1200px international pok c3 a9mon logo svg png about s pok mon index datasets this dataset is about all pokemon characters it s a full list of every pok mon from all 8 generations of the pok mon series along with their main data andstats which are names character type total power attack defense speed and hp stats inspiration overview we choose pokemon as our dataset because pokemon is one of the most intersting cartoon their characters have specific name characteristics power and most of them when its turn to the dataset are in numeric value this allow us to exploring the data of each pokemons which pokemon have a highest powe on the other hand which one is the lowest and also their type we can also applied the used of pokemon types as a tools to explore more deeply too our teams believing that explore the interesting data that we all like can bring higher quality of the work pokemonsub https github com sit 2021 int214 026 pokemon index blob main img pokemon pc game 1 900x506 jpg column show in the cleaning data set 1 pokemon number number of pokemons 2 name pokemons names 3 type type of each pokemons 4 total total attack power of each pokemons 5 hp hp power each pokemons 6 attack how much attack power of each pokemons 7 defense how powerful defense is in each pokemons 8 special attack how much special attack is in each pokemons 9 special defense how much special defense is in each pokemons 10 speed what speed that each pokemons have explore topics 1 find the dark s pokemon s that have a total power morethan 600 2 which pokemon type have the gratest average of special defense 3 which pokemon have a highest and lowest speed and what the diffrent of two of them 4 from the given index which pokemons types have a highest amount and how much is it 5 which pokemon s have a hp is morethan 80 and speed lower than 50 what are the top 5 6 find the lowest speed pokemon that total power is morethan 600 steps 1 define a question 2 search datasets from kaggle 3 retrieve the relevant dataset from kaggle 4 explore the dataset from the original dataset 5 data cleaning and data transformation 6 exploratory data analysis tools r studio desktop https www rstudio com microsoft excel https www microsoft com en us microsoft 365 excel data studio https datastudio google com table of contents 1 exploratory data analysis 01 explore md 2 analytical inferential statistics pokemon hypothesistesting md resources 1 pokemon sheet https docs google com spreadsheets d 1m10t2za9cgxzlboojroucrx46 5tbkofxdcf6jeg6zo edit usp sharing pokemon index in google sheet 2 data studio https datastudio google com s jop4w8sifaw pokemon data statics using data studio 3 presentation slide https www canva com design daeyco9dne8 ecn0lrahu5hhgt1yn70cxq view utm content daeyco9dne8 utm campaign designshare utm medium link utm source sharebutton slide for presentation important files in repository pokemonindex original csv pokemonindex original csv original dataset pokemon clean csv pokemon clean csv clean dataset 01 explore md 01 explore md exploratory data analysis mark down file pokemonindex r pokemonindex r exploratory data analysis r file pokemon hypothesistesting md pokemon hypothesistesting md hypothesis statement references https www kaggle com brendan45774 pokmon index database select pokemon csv about us int214 statistics for information technology br 1 2564 team rocket gang 1 studentid 63130500116 2 studentid 63130500119 3 studentid 63130500156 instructor atchara tran u raikul jatawat xie git safesit23 https github com safesit23 | pokemon | server |
computer-vision-for-the-web | requirements web browser google chrome will be the best choice code website https foat me computer vision for the web running files if you run files directly without using a server then you will probably want to run chrome with an additional flag allow file access from files or disable web security e g for windows just run in console chrome exe allow file access from files for os x applications google chrome app contents macos google chrome allow file access from files photo and video sources chapter 1 http www freestockphotos biz stockphoto 6063 https commons wikimedia org wiki file woolworth building 9495 jpg chapter 2 http www freestockphotos biz stockphoto 6063 chapter 3 https pixabay com p 191629 no redirect https commons wikimedia org wiki file red delicious red chief apple jpg chapter 4 https www flickr com photos averageface 8267709831 in photostream https www flickr com photos beatlesmaniac11 4191790770 in photostream https youtu be uf8ur6z6klc chapter 5 https youtu be ja2q1nwqht0 https youtu be yhflymahrqe chapter 6 https www flickr com photos tmizo 6404325303 http auduno github io clmtrackr media facemodel numbering new png source code repository https github com foat computer vision for the web license mit http foat mit license org | ai |
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Connected-vehicles | azure data migration connected vehicles this project involves creation of a cloud to cloud data migration solution based on a data engineering business use case the architecture has been deployed on azure cloud the end goal was to make a pipeline to pull real time data from aws s3 buckets and store it in a azure datalake gen2 and run validation testing to sort through invalid file formatting and push it to a azure sql database and to be able to do it dynamically business case ford is a one of the leading heavy vehicle manufacturing companies to improve their services they are planning to rollout new features in the coming models these features are based on iot solutions that detect hazardous and pre malfunction conditions to alert the driver in advance for this to work ford ties up with a third party that provides them with a iot device that can be plugged into the car the sensors gather real time data on fuel consumption engine temperature fluid levels run time etc | cloud |
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design-system | cfpb design system npm https img shields io npm v cfpb cfpb design system svg style flat square https www npmjs com package cfpb cfpb design system github workflows lighthouse yml https github com cfpb design system actions workflows lighthouse yml badge svg https github com cfpb design system actions workflows lighthouse yml the consumer financial protection bureau s user interface framework and documentation atomic component buttons core expandables forms grid npm https img shields io npm v cfpb cfpb atomic component svg style flat square https www npmjs com package cfpb cfpb atomic component npm https img shields io npm v cfpb cfpb buttons svg style flat square https www npmjs com package cfpb cfpb buttons npm https img shields io npm v cfpb cfpb core svg style flat square https www npmjs com package cfpb cfpb core npm https img shields io npm v cfpb cfpb expandables svg style flat square https www npmjs com package cfpb cfpb expandables npm https img shields io npm v cfpb cfpb forms svg style flat square https www npmjs com package cfpb cfpb forms npm https img shields io npm v cfpb cfpb grid svg style flat square https www npmjs com package cfpb cfpb grid icons layout notifications pagination tables typography npm https img shields io npm v cfpb cfpb icons svg style flat square https www npmjs com package cfpb cfpb icons npm https img shields io npm v cfpb cfpb layout svg style flat square https www npmjs com package cfpb cfpb layout npm https img shields io npm v cfpb cfpb notifications svg style flat square https www npmjs com package cfpb cfpb notifications npm https img shields io npm v cfpb cfpb pagination svg style flat square https www npmjs com package cfpb cfpb pagination npm https img shields io npm v cfpb cfpb tables svg style flat square https www npmjs com package cfpb cfpb tables npm https img shields io npm v cfpb cfpb typography svg style flat square https www npmjs com package cfpb cfpb typography installation install components using yarn or npm sh yarn add cfpb cfpb buttons or npm install cfpb cfpb buttons or you can install all components at once sh yarn add cfpb cfpb design system or npm install cfpb cfpb design system usage import individual less stylesheets or the entire design system into your project less import cfpb cfpb buttons src cfpb buttons less import cfpb cfpb typography src cfpb typography less or import cfpb cfpb design system src cfpb design system less the rest of your stylesheet components with javascript can also be imported js import expandable from cfpb cfpb expandables expandable init document queryselector container note be sure to run the less files through autoprefixer https github com postcss autoprefixer or your compiled css might not work perfectly in older browsers documentation the design system s website is available at https cfpb github io design system it lives in this repository s docs directory and is powered by netlify cms https www netlifycms org and jekyll https jekyllrb com to edit any page of the website click the edit button at the bottom right of the page you ll need to be added as a contributor to this repository in order to authenticate with netlify cms running the documentation website locally the project has a dependency on ruby because it uses jekyll if you do not have ruby installed you will need to install it we recommend using rvm https rvm io rvm install if you don t have admin access to your machine try these steps shell curl ssl https get rvm io bash s stable ruby rvm install 2 7 brew install openssl brew link openssl force gem install eventmachine with openssl dir usr local opt openssl 1 1 bundle install and then to run the documentation website locally shell git clone https github com cfpb design system git cd design system yarn install yarn after install yarn start visit http localhost 4000 design system to view the site editing a page locally will change your local files using an experimental netlify cms feature https www netlifycms org docs beta features working with a local git repository to run accessibility tests against your local files shell yarn a11y contributing please view our contribution guidelines contributing md open source licensing info 1 terms terms md 2 license license 3 cfpb source code policy https github com cfpb source code policy | hacktoberfest design-system netlify-cms jekyll | os |
vanilla-commons | h1 align center img src https cdn jsdelivr net gh gugutz vanilla commons logo svg width 200 alt vanilla commons h1 p align center lightweight common vanilla utilities for the modern web development p p align center a href https www npmjs com package vanilla commons img src https img shields io npm v vanilla commons svg alt npm a a href https travis ci org gugutz vanilla commons img src https img shields io travis gugutz vanilla commons svg alt travis a a href https coveralls io github gugutz vanilla commons branch master img src https img shields io coveralls gugutz vanilla commons svg alt coveralls a a href https david dm org gugutz vanilla commons img src https img shields io david gugutz vanilla commons svg alt david a a href https cdn jsdelivr net npm vanilla commons dist vanilla commons umd min js img src http img badgesize io https cdn jsdelivr net npm vanilla commons dist vanilla commons umd min js compression gzip alt gzip size a p table of contents install install usage usage array commons array commons date commons date commons element commons element commons function commons function commons number commons number commons object commons object commons string commons string commons prior art prior art contributing contributing license license install this project uses node http nodejs org and npm https npmjs com go check them out if you don t have them locally installed sh npm install save vanilla commons the umd https github com umdjs umd build is also available on jsdelivr https www jsdelivr com html script src https cdn jsdelivr net npm vanilla commons dist vanilla commons umd min js script you can find the library on window commons usage js import addminutes addhours adddays addmonths addyears formatdate pipe from vanilla commons const date new date december 17 1995 03 24 00 const format dd mm yyyy hh mm ss ms const finaldate pipe addminutes 1 addhours 9 adddays 7 addmonths 9 addyears 2 formatdate format date 24 03 1993 12 25 00 00 array commons flattenarray arr flatten nested arrays parameters arr array array nested array returns array array flattened examples javascript import flattenarray from vanilla commons flattenarray 1 2 3 4 1 2 3 4 date commons adddays days date add days to a date parameters days number number of days to add date date date to be modified returns date date with the days added examples javascript import adddays from vanilla commons adddays 6 new date december 17 1995 03 24 00 sat 23 dec 1995 03 24 00 adddays 6 new date december 17 1995 03 24 00 mon 11 dec 1995 03 24 00 adddays 6 new date december 17 1995 03 24 00 sat 23 dec 1995 03 24 00 addhours hours date add hours to a date parameters hours number number of hours to add date date date to be modified returns date date with the hours added examples javascript import addhours from vanilla commons addhours 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 24 00 addhours 6 new date december 17 1995 03 24 00 fri 16 dec 1995 21 24 00 addhours 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 24 00 addmilliseconds milliseconds date add milliseconds to a date parameters milliseconds number number number of milliseconds to add date date date date to be modified returns date date with the milliseconds added examples javascript import addmilliseconds from vanilla commons addmilliseconds 1000 new date december 17 1995 03 24 00 sun 17 dec 1995 09 24 01 addmilliseconds 1000 new date december 17 1995 03 24 00 sun 17 dec 1995 09 23 59 addmilliseconds 1000 new date december 17 1995 03 24 00 sun 17 dec 1995 09 24 01 addminutes minutes date add minutes to a date parameters minutes number number of minutes to add date date date to be modified returns date date with the minutes added examples javascript import addminutes from vanilla commons addminutes 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 24 06 addminutes 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 23 54 addminutes 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 24 06 addmonths months date add months to a date parameters months number number of months to add date date date to be modified returns date date with the months added examples javascript import addmonths from vanilla commons addmonths 6 new date december 17 1995 03 24 00 mon 17 jun 1996 09 24 00 addmonths 6 new date december 17 1995 03 24 00 sat 17 jun 1995 09 24 00 addmonths 6 new date december 17 1995 03 24 00 mon 17 jun 1996 09 24 00 addseconds seconds date add seconds to a date parameters seconds number number of seconds to add date date date to be modified returns date date with the seconds added examples javascript import addseconds from vanilla commons addseconds 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 30 00 addseconds 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 18 00 addseconds 6 new date december 17 1995 03 24 00 sun 17 dec 1995 09 30 00 addweeks weeks date add weeks to a date parameters weeks number number of weeks to add date date date to be modified returns date date with the weeks added examples javascript import addweeks from vanilla commons addweeks 1 new date december 17 1995 03 24 00 sun 24 dec 1995 09 24 00 addweeks 1 new date december 17 1995 03 24 00 sun 10 dec 1995 09 24 00 addweeks 6 new date december 17 1995 03 24 00 sun 24 dec 1995 09 24 00 addyears years date add years to a date parameters years number number of years to add date date date to be modified returns date date with the years added examples javascript import addyears from vanilla commons addyears 1 new date december 17 1995 03 24 00 tue 17 dec 1996 09 24 00 addyears 1 new date december 17 1995 03 24 00 sat 17 dec 1994 09 24 00 addyears 1 new date december 17 1995 03 24 00 tue 17 dec 1996 09 24 00 diffdate firstdate seconddate calculate the diff of two date objects parameters firstdate date date to be compared seconddate date date to be compared returns date date with the years added examples javascript import diffdate from vanilla commons diffdate new date december 17 1995 03 24 00 new date december 17 1996 03 25 00 milliseconds 31622460000 seconds 31622460 minutes 527041 hours 8784 02 days 366 weeks 52 29 months 12 2 years 1 formatdate format date format a date given a expected format use the following patterns inside your format yyyy full year 2017 yy short year 17 mm month 04 dd day 01 hh hours 06 24h mm minutes 59 ss seconds 09 ms milliseconds 10 parameters format string string expected format of the date date date date to be compared returns string string formatted date examples javascript import formatdate from vanilla commons formatdate dd mm yyyy hh mm ss ms new date december 17 1995 03 24 00 17 12 1995 03 24 00 00 isvaliddate format datestr checks the validity of a given date string use the following patterns inside your format yyyy full year 2017 yy short year 17 mm month 04 dd day 01 hh hours 06 24h mm minutes 59 ss seconds 09 ms milliseconds 10 parameters format string string expected format of the date datestr string string date string to be tested returns boolean boolean true if the date is valid examples javascript import isvaliddate from vanilla commons isvaliddate dd mm yyyy hh mm ss ms 17 12 1995 03 24 00 00 true isvaliddate dd mm yyyy hh mm ss ms 29 02 1995 03 24 00 00 false parsedate format datestr parse a date string to a date object given a format use the following patterns inside your format yyyy full year 2017 yy short year 17 mm month 04 dd day 01 hh hours 06 24h mm minutes 59 ss seconds 09 ms milliseconds 10 parameters format string string the format of the date string datestr string string date string to be parsed returns date date parsed date examples javascript import parsedate from vanilla commons parsedate dd mm yyyy hh mm ss ms 17 12 1995 03 24 00 00 sun 17 dec 1995 03 24 00 element commons addclass newclass element add a class to a dom element parameters newclass array array string string array or string of class to add to a dom element element element element element to apply the changes returns element element in which the changes were made examples javascript import addclass from vanilla commons const element document queryselector element addclass hey element div class element hey div addclass there man element div class element hey there man div clearevents element remove all the event listeners of a element and its children parameters element element element element that will have its events removed returns element element element that the events were removed examples javascript see the tests for better examples https github com gugutz vanilla commons blob master test element clear events test js import clearevents from vanilla commons const element document queryselector element clearevents element createelement selector props children create a dom element parameters selector string string css selector like props object object properties of the node children string string element element array array children of the element returns element element created examples javascript see the tests for better examples https github com gugutz vanilla commons blob master test element create element test js import createelement from vanilla commons createelement div div createelement input id class type text required input id id class class type text disabled required createelement div data ref hey error bad div data ref hey data error bad div createelement p classname hey there man p class hey there man p createelement p onclick function console log clicked it s easy to work with events createelement div createelement input type text hey createelement img src coolimage jpg div input type hey img src coolimage jpg div getparents element get all the parents of a given element parameters element element element reference element returns array array the parents of the element including the body examples javascript see the tests for better examples https github com gugutz vanilla commons blob master test element get parents test js import getparents from vanilla commons const element document queryselector element getparents element hasclass classtocheck element check if a dom element has the specified class parameters classtocheck array array string string array or string of class to check the existence in a dom element element element element element to apply the changes returns element element to check if has the specified class examples javascript import hasclass from vanilla commons const element document createelement div element classname hey there hasclass hey element true hasclass hey element true hasclass man element false hasclass hey there element true hasclass hey man element false hideelement elementtohide hide a element from the dom parameters elementtohide array array element element array of elements or element to hide returns array array element element element or array of elements that were hidden examples javascript import hideelement from vanilla commons const element document createelement div element style display block hideelement element element style display none javascript import hideelement from vanilla commons const element1 document createelement div element1 style display block const element2 document createelement div element2 style display block hideelement element1 element2 element1 style display none element2 style display none insertelementafter referenceelement newelement insert a element after a reference element parameters referenceelement element element reference element newelement element element element to be inserted returns element element that were inserted examples javascript import insertelementafter from vanilla commons insertelementafter referenceelement newelement insertelementbefore referenceelement newelement insert a element before a reference element parameters referenceelement element element reference element newelement element element element to be inserted returns element element that were inserted examples javascript import insertelementbefore from vanilla commons insertelementbefore referenceelement newelement killelement elementtokill kill a element from the dom parameters elementtokill array array element element array of elements or element to kill examples javascript import killelement from vanilla commons killelement element killelement element1 element2 removeclass classtoremove element remove a class of a dom element parameters classtoremove array array string string array or string of class to remove of a dom element element element element element to apply the changes returns element element that the had the class removed examples javascript import removeclass from vanilla commons removeclass hey element removeclass hey element removeclass hey there element replaceelement originalelement newelement replace a dom element with another element parameters originalelement element element element to be replaced newelement element element new element to replace the old one returns element element element that replaced the old one examples javascript import replaceelement from vanilla commons replaceelement originalelement newelement showelement elementtoshow show a hidden element from the dom parameters elementtoshow array array element element array of elements or element to hide returns array array element element element or array of elements that were showed examples javascript import showelement from vanilla commons showelement element showelement element1 element2 toggleclass classtotoggle element toggle a class from a dom element parameters classtotoggle array array string string array or string of class to toggle a dom element element element element to apply the changes returns element element that the changes were made examples javascript import toggleclass from vanilla commons toggleclass hey element toggleclass hey element toggleclass hey there element function commons compose fn fn1 fnn performs right to left function composition parameters fn fnn function function functions to be composed returns function function composed function examples javascript import curry compose from vanilla commons const add curry a b a b const multiply curry a b a b const composedfunction compose add 5 multiply 4 add 3 composedfunction 2 2 3 4 5 25 curry fn returns a curried equivalent of the provided function parameters fn function function function to be curried returns function function curried function examples javascript import curry from vanilla commons const addfournumbers a b c d a b c d const curriedaddfournumbers curry addfournumbers curriedaddfournumbers 1 2 3 4 10 curriedaddfournumbers 1 2 3 4 10 curriedaddfournumbers 1 2 3 4 10 curriedaddfournumbers 1 2 3 4 10 pipe fn fn1 fnn performs left to right function composition parameters fn fnn function function functions to be piped returns function function piped function examples javascript import curry pipe from vanilla commons const add curry a b a b const multiply curry a b a b const pipedfunction pipe add 5 multiply 4 add 3 pipedfunction 2 2 5 4 3 31 throttle limit fn creates a function that will call fn at most once every wait milliseconds parameters limit number number time in milliseconds to wait fn function function function to be executed returns function function throttled function examples javascript import throttle from vanilla commons window addeventlistener scroll throttle 100 e console log e number commons round num round a number to two decimal places parameters num number number number to be rounded returns number number rounded number examples javascript import round from vanilla commons round 3 141592 3 14 round 27 817987 27 82 object commons mapkeys fn obj map over the keys of a object parameters fn function function function that will be invoked per iteration obj object object object to be mapped returns object object mapped object examples javascript import mapkeys from vanilla commons mapkeys function key return key hey captain picard firstofficer riker captainhey picard firstofficerhey riker mapvalues fn obj map over the values of a object parameters fn function function function that will be invoked per iteration obj object object object to be mapped returns object object mapped object examples javascript import mapvalues from vanilla commons mapvalues function value return value hey captain picard firstofficer riker captain picardhey firstofficer rikerhey string commons capitalize str converts the first character of string to upper case parameters str string string string to be capitalized returns string string capitalized string examples javascript import capitalize from vanilla commons capitalize vanilla vanilla cleanupstring str removes the all line breaks in the entire string and also the white spaces from the both ends of the string parameters str string string string to be cleaned returns string string clean string examples javascript import cleanupstring from vanilla commons cleanupstring n n r r n cleanupstring n n r hjhj hjhj prior art vanilla commons is fully inspired by these projects lodash https lodash com underscore js http underscorejs org pareto js https github com concretesolutions pareto js ramda http ramdajs com tinydate https github com lukeed tinydate date fns https date fns org moment js https momentjs com jquery http jquery com dom create element query selector https github com hekigan dom create element query selector hyperscript https github com hyperhype hyperscript contributing see the contributing file contributing md license mit license license md gustavo p borges https github com gugutz array https developer mozilla org en us docs web javascript reference global objects array boolean https developer mozilla org en us docs web javascript reference global objects boolean date https developer mozilla org en us docs web api date element https developer mozilla org en us docs web api element number https developer mozilla org en us docs web javascript reference global objects number string https developer mozilla org en us docs web javascript reference global objects string function https developer mozilla org en us docs web javascript reference global objects function object https developer mozilla org en us docs web javascript reference global objects object | front_end |
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machine-learning | deprecated repository this repository is deprecated currently enrolled learners if any can utilize the https knowledge udacity com forum to seek help on content specific issues submit a support ticket https udacity zendesk com hc en us requests new if learners are blocked due to other reasons machine learning content for udacity s machine learning curriculum which includes projects and their descriptions 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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front-end-frameworks | front end frameworks v2 6 a collection of best front end frameworks for faster and easier web development you can compare all front end frameworks here http usablica github com front end frameworks compare html 52framework with html5 support coming so fast with the tiniest of hacks we are able to use it today in virtually all browsers using html5 makes for much cleaner mark up this framework fully uses all the great advantages of html5 responsive no website http 52framework com 960 grid system simple grid system the 960 grid system is an effort to streamline web development workflow by providing commonly used dimensions based on a width of 960 pixels there are two variants 12 and 16 columns which can be used separately or in tandem responsive yes website http 960 gs 99lime html kickstart ultra lean html building blocks for rapid website production html kickstart is an ultra lean set of html5 css and jquery javascript files layouts and elements designed to give you a headstart and save you 10 s of hours on your next web project responsive yes website http www 99lime com agnosticui agnosticui https www agnosticui com one stylesheet all the frameworks ui components that work in react vue 3 and svelte accessible css component primitives that work with react vue 3 svelte and angular responsive yes website https www agnosticui com baseline baseline is a framework built around the idea of a real baseline grid built with typographic standards in mind baseline makes it easy to develop a website with a pleasing grid and good typography baseline starts with several files to reset the browser s default behavior build a basic typographic layout including style for html forms and new html 5 elements and build a simple grid system responsive no website http www baselinecss com biomatic ui a flexible atomic focused css framework responsive yes website https biomatic ui com blueprint blueprint is a css framework which aims to cut down on your development time it gives you a solid foundation to build your project on top of with an easy to use grid sensible typography useful plugins and even a stylesheet for printing responsive no website http www blueprintcss org bluetrip a full featured and beautiful css framework which originally combined the best of blueprint tripoli hence the name hartija 960 gs and elements but has now found a life of its own responsive no website http bluetrip org bijou a beautiful css framework under 2kb a small yet beautiful css framework that weighs in under 2kb responsive yes website http andhart github io bijou github https github com andhart bijou boilerplate noun standardized pieces of text for use as clauses in contracts or as part of a computer program as one of the original authors of blueprint css i ve decided to re factor my ideas into a stripped down framework which provides the bare essentials to begin any project this framework will be lite and strive not to suggest un semantic naming conventions you re the designer and your craft is important responsive no website http code google com p css boilerplate bootmetro metro style web framework simple and flexible web framework to create elegant and modern web applications with the same look feel of windows 8 responsive yes website http aozora github io bootmetro github https github com aozora bootmetro bootstrap sleek intuitive and powerful front end framework for faster and easier web development responsive yes website http getbootstrap com bulma bulma is a free and open source css framework based on flexbox responsive yes website https bulma io cascade framework powerful oocss front end framework optimised for performance and flexibility responsive yes website http cascade framework com cascade framework light an even more lightweight version of cascade framework containing just the bare essentials responsive yes website https github com jslegers cascadeframeworklight chota a really small css framework responsive yes website https jenil github io chota github https github com jenil chota cirrus a fully responsive and comprehensive css framework with beautiful controls and simplistic structure integrate it with any existing design or use it to kick start your next project responsive yes website https spiderpig86 github io cirrus github https github com spiderpig86 cirrus concise lightweight highly customizable scalable sass based oocss framework less and stylus ports also available responsive yes website http concisecss com crumpet a deliciously simple sass scss responsive framework everything is straight forward all of the code is commented and gives you instructions on how to use crumpet so you can spend all your time in the code editor responsive yes website https github com adammarsbar crumpet easy framework your new starting point for every front end projects easy is a css html javascript framework started as a personal project and then grew into something more the idea behind it is to reduce the amount of time spent on setting up the basic master html template by reusing the same coding techniques responsive no website http easyframework com emastic emastic is a css framework it s continuing mission to explore a strange new world to seek out new life and new web spaces to boldly go where no css framework has gone before responsive no website http code google com p emastic fem css framework fem css framework is a 960px width 12 column grid system css common styles to easy and fast develop web layouts it is based in the 960 grid system but with a twist in the philosophy to make it more flexible and faster to play with boxes responsive no website http www frontendmatters com projects fem css framework flat ui psd html user interface kit flat ui free is made on the basis of twitter bootstrap in a stunning flat style and the kit also includes a psd version for designers flat ui free contains many basic and complex components which are great for designers to have at hand buttons inputs button groups selects checkboxes and radio buttons tags menus progress bars and sliders navigation elements and more responsive yes website http designmodo com flat free fluid the fluid 960 grid system templates have been built upon the work of nathan smith and his 960 grid system using effects from the mootools and jquery javascript libraries responsive no website http www designinfluences com fluid960gs foundation the most advanced responsive front end framework in the world foundation is built with sass a powerful css preprocessor which allows us to much more quickly develop foundation itself and gives you new tools to quickly customize and build on top of foundation responsive yes website http foundation zurb com g5 framework x html5 css3 php jquery front end framework g5 framework started as a personal project in an attempt to speed up workflow reuse the best coding practices similar coding techniques the framework serves as a starter file for new websites responsive no website http framework gregbabula info gumby gumby is a responsive 960 grid css framework the grid lets you lay out pages quickly and easily in a natural logical way the framework is packaged with tons of styles and common interface elements to help you quickly put together functional prototypes responsive yes website http gumbyframework com helium helium is a framework for rapid prototyping and production ready development in many ways it s similar to both twitter bootstrap and zurb foundation in fact it uses bits of their code unlike either of these two frameworks however helium is designed to be much more lightweight and easier to tinker with responsive yes website https github com cbrauckmuller helium icecream simple and light responsive grid system responsive yes website http html5 ninja com icecream ingrid a fluid css layout system ingrid is a lightweight and fluid css layout system whose main goal is to reduce the use of classes on individual units in general it is fluid lightweight and extendable responsive yes website http piira se projects ingrid ink ink is a set of tools for quick development of web interfaces it offers a fluid and responsive grid common interface elements interactive components a design first approach with ease of use and simplicity at its core start integrating ink in your projects and remove the hassle of building the basics staying free to focus on what s important responsive yes website http ink sapo pt github http github com sapo ink inuit css a powerful scalable sass based bem http bem info oocss framework inuit css is a sass based object oriented framework that is full of objects and abstractions inuit css provides little to no design which means no undoing things no deleting css and no adhering to other peoples design decisions responsive yes website http inuitcss com github https github com csswizardry inuit css ivory framework simple flexible powerful responsive front end web framework makes your front end development faster and easier takes you all theway from 1200px on down to 320px responsive yes github ivory ui https github com ivory ui ivory jeet a css grid system for humans jeet allows you to express your page grid the same way a human would describe it no more needlessly nesting elements no more rigid twelve column rules enjoy building faster with less code and more flexibility with jeet responsive yes website http jeet gs kaliber a tiny but powerful css framework based on flexbox responsive yes website https robbinfellow github io kaliber kickoff a lightweight front end framework for creating scalable responsive sites kickoff is an actively maintained front end framework created by zander martineau and ashley nolan the framework is not meant to be too prescriptive we don t want to force developers into a certain coding style and so can be used as a starting point for any type of project responsive yes website http trykickoff com github https github com trykickoff kickoff kube css framework for professional developers minimal and enough adaptive and responsive revolution grid and beautiful typography no imposed styles and freedom responsive yes website http imperavi com kube layers lightweight unobtrusive style agnostic build your look on the web not twitter s and build it fluid layers css is aimed for practical use and comes with zero bullshit responsive yes website http eiskis net layers bitbucket https bitbucket org eiskis layers css src tip source layers lovely css framework the lovely css framework is a simple and straight forward way to easily deploy an xhtml css site based on a simple 960px wide grid system featuring multiple column layouts and various pluggable add ons responsive no website http code google com p lovely css malo malo is ultra small css library for building web sites malo is ultra small css library for building web sites it is meant to be structural base for small or medium web sites malo derives from it s bigger brother emastic css framework responsive no website http code google com p malo material design lite an implementation of material design components in vanilla css js and html material design lite mdl lets you add a material design look and feel to your static content websites it doesn t rely on any javascript frameworks or libraries optimized for cross device use gracefully degrades in older browsers and offers an experience that is accessible from the get go responsive yes website http www getmdl io github https github com google material design lite materialize css created and designed by google material design is a design language that combines the classic principles of successful design along with innovation and technology google s goal is to develop a system of design that allows for a unified user experience across all their products on any platform responsive yes website http materializecss com github https github com dogfalo materialize milligram milligram provides a minimal setup of styles for a fast and clean starting point just it only 2kb gzipped it s not about a ui framework specially designed for better performance and higher productivity with fewer properties to reset resulting in cleaner code responsive yes website http milligram github io mini css a minimal responsive style agnostic css framework mini css tries to provide as much functionality as possible in under 7kb gzipped while mainting a mobile friendly approach and allowing you to customize it any way you want responsive yes website https chalarangelo github io mini css minigrid minimal 2kb zero dependency cascading grid layout responsive yes github https github com henriquea minigrid picnic css lightweight and beautiful library a beautiful css library to kickstart your projects responsive yes website https picnicss com github https github com franciscop picnic polymer a library for creating web components based on material design polymer is a library for creating web components which are a set of w3c standards and upcoming browser apis for defining your own custom html elements with the help of polyfills and sugar it can create these custom elements and bring web component support to browsers that don t play nice with the standard just yet responsive yes website https www polymer project org github https github com polymer polymer purecss a set of small responsive css modules that you can use in every web project built by the yui team at yahoo purecss is a collection of responsive drop ins built with you guessed it pure css the purecss website also has a skin builder on their website so you re restricted by default colors no more responsive yes website http purecss io responsivebp responsive a powerful accessible developer friendly framework for building responsive websites responsive yes website http responsivebp com github https github com responsivebp responsive responsive grid system spectacularly easy responsive design it s a quick easy flexible way to create a responsive web site responsive yes website http www responsivegridsystem com responsive gs simple css framework for fast intuitive development of responsive websites built using the mobile first approach clearfix for clearing floats box sizing border box for adding additional padding to elements and weighs less then 1kb compressed responsive yes website http responsive gs ribs the evolution of skeleton a beautiful boilerplate for responsive mobile friendly development ribs is a modernised maintained and feature rich fork of the original skeleton framework responsive yes website https github com nickpack ribs r cssti r cssti is a css micro framework which includes accessibility notions typo settings ie fixes reusable classes ect it is the little brother of knacss http www knacss com it also has less and sass versions responsive yes website http rocssti nicolas hoffmann net https github com nico3333fr rocssti semantic ui ui is the vocabulary of the web semantic is a ui component framework based around useful principles from natural language semantic allows developers to build beautiful websites fast with concise html intuitive javascript and simplified debugging helping make front end development a delightful experience semantic is responsively designed allowing your website to scale on multiple devices semantic is production ready and partnered with frameworks such as react angular meteor and ember which means you can integrate it with any of these frameworks to organize your ui layer alongside your application logic responsive yes website http semantic ui com github https github com semantic org semantic ui sierra the smallest and lightest scss library sierra is a micro scss library to help you build websites in a matter of seconds without all the arbitrary selectors responsive yes website http sierra library github io skeleton a beautiful boilerplate for responsive mobile friendly development skeleton is a small collection of css files that can help you rapidly develop sites that look beautiful at any size be it a 17 laptop screen or an iphone responsive yes website http www getskeleton com spectre css lightweight responsive and modern a lightweight responsive and modern css framework for faster and extensible development responsive yes website http picturepan2 github io spectre utm source next 36kr com github https github com picturepan2 spectre git stacklayout a flexible width component based css layout system stacklayout makes it incredibly easy to use semantic class names for particular areas of your site such as the main navigation or a thumbnail gallery or for the entire site as part of your deployment process responsive yes github https github com camslice stacklayout susy your markup your design our math the web is a responsive place from your lithe lively development process to your end user s super tablet multi magic lap phone you need grids that are powerful yet custom reliable yet responsive responsive yes website http susy oddbird net github https github com ericam susy taiga boilerplate taiga a head start for ui engineers taiga boilerplate is a small html sass framework for starting a new web project it is mobile first with a semantic sass grid and based on the principles of smacss and bem responsive yes website http taigaboilerplate com github https github com studiowolf taiga boilerplate tailwind css a utility first css framework for rapid ui development responsive yes website https tailwindcss com github https github com tailwindcss tailwindcss tentcss a css survival kit responsive yes website https css sitetent com github https github com sitetent tentcss the golden grid the golden grid is a web grid system it s a product of the search for the perfect modern grid system it s meant to be a css tool for grid based web sites responsive no website http code google com p the golden grid uikit a lightweight and modular front end framework for developing fast and powerful web interfaces responsive yes website http www getuikit com github https github com uikit unsemantic unsemantic is a fluid grid system that is the successor to the 960 grid system http 960 gs it works in a similar way but instead of being a set number of columns it s entirely based on percentages responsive yes website http unsemantic com vanilla framework vanilla is a simple extensible css framework written in sass by the ubuntu web team responsive yes website https vanillaframework io github https github com vanilla framework vanilla framework wing a beautiful css framework designed for minimalists everything you need to create a basic project is included all in a 2kb file minified gzipped on top of that almost everything is styled automatically without the need for learning specific classes this allows for an intuitive experience developing with wing as it s designed to be a boilerplate stylesheet for any project responsive yes website https kbrsh github io wing workless a clean classy html5 css3 framework standardizes css improves usability and interaction sets base typography to help vertical rhythm and readability and adds helper classes to style elements easily responsive yes website http workless ikreativ com xcss object oriented css framework xcss bases on css and empowers a straightforward and object oriented workflow when developing complex style cascades using xcss means a dramatic cut down to your development time by having a intuitive overview of the overall css structure using variables re using existing style cascades and many other handy features responsive no website http xcss antpaw org yacss a fully responsive utility and component based css framework with yet another css framework you can simply use our beautiful predefined styles or you can design your own with the utility class approach responsive yes website https github com florianwoelki yacss github https github com florianwoelki yacss yaml yet another multicolumn layout yaml yaml is an x html css framework for creating modern and flexible floated layouts the structure is extremely versatile in its programming and absolutely accessible for end users responsive yes website http www yaml de yui css simple css for the web the foundational yui css is an extremely lightweight layer of responsive css for your projects it offers a customizable responsive grid along with styling for forms tables menus popovers notifications images and more plays nice with yui s javascript framework responsive yes website http yuilibrary com | css-framework responsive-grid css-grid responsive-css | front_end |
trafficVision | traffic vision this app detects cars buses in a live traffic at a phenomenal 50 frames sec with hd resolution 1920x1080 using deep learning network yolo v2 https pjreddie com darknet yolov2 the model used in the app is optimized for inferencing performnce on amd gpus using mivisionx toolkit https gpuopen professionalcompute libraries github io mivisionx traffic vision animation media traffic viosion gif https youtu be yasoovwds a features 1 vehicle detection with bounding box 1 vehicle direction upward downward detection 1 vehicle speed estimation 1 vehicle type bus car how to run use model img src media speed detection user interface jpg width 600 demo app starts the demo if no other option is provided demo uses a video stored in the media media dir main py loaded yoloopenvx ok loaded 22 kernels from libvx nn so ok openvx using gpu device 0 gfx900 opencl 1 2 svmcaps 0 1 ok anncreateinference successful processed a total of 102 frames ok opencl buffer usage 87771380 46 46 here is the link to youtube video https youtu be yasoovwds a detecting cars bounding boxes car speed and confidence scores other examples recorded video 1 main py video path to video vid mp4 traffic cam ip 2 main py cam ip http 166 149 104 112 8082 snap jpg installation prerequisites 1 gpu radeon instinct or vega family of products with rocm https rocm github io rocminstall html and opencl development kit 1 install amd s mivisionx toolkit https gpuopen professionalcompute libraries github io mivisionx amd s mivisionx toolkit is a comprehensive computer vision and machine intelligence libraries utilities 1 cmake http cmake org download caffe http caffe berkeleyvision org installation html 1 google s protobuf https github com google protobuf steps git clone https github com srohit0 trafficvision 1 model conversion this steps downloads yolov2 tiny for voc dataset and converts to mivision s openvx model cd trafficvision model bash preparemodel sh more details on the pre requisite like caffe http caffe berkeleyvision org installation html of the model conversion in the models models dir 2 mivision model compilation cd trafficvision make 3 test app cd trafficvision make test it ll display detection all videos in media dir design this section is a guide for developers who would like to port vision and object detections models to amd s radeon gpus from other frameworks including tensorflow https github com tensorflow models blob master research object detection g3doc detection model zoo md caffe http caffe berkeleyvision org model zoo html or pytorch https pytorch org high level design img src media speed detection top level arch jpg width 600 lower level modules these lower level modules can be found as python modules files or packages directories in this repository img src media speed detection modules jpg width 600 development model conversion follow model conversion process similar to the one described below img src media speed detection model conversion jpg width 680 infrastructure make sure you ve infrastructure pre requisites installed before you start porting neural network model for inferencing img src media speed detection infrastructure jpg width 480 developed and tested on 1 hardware 1 amd ryzen threadripper 1900x 8 core processor 1 accelerator radeon instinct mi25 accelerator 1 software 1 ubuntu 16 04 lts os 1 python 2 7 1 mivisionx 1 7 0 1 amd openvx 0 9 9 1 gcc 5 4 credit mivisionx team references 1 yolov2 paper https arxiv org pdf 1612 08242 pdf 1 tiny yolo aka darknet reference network https pjreddie com darknet imagenet reference 1 mivisionx setup https github com kiritigowda mivisionx setup 1 amd openvx https gpuopen com compute product amd openvx 1 optimization with openvx graphs http openaccess thecvf com content cvpr workshops 2014 w17 papers rainey addressing system level optimization 2014 cvpr paper pdf 1 measuring traffic speed with deep learning object detection https medium com datadriveninvestor measuring traffic speed with deep learning object detection efc0bb9a3c57 | yolov2 tiny-yolo tiny-yolo-network mivisionx mivision rocm opencl openvx openvx-nn-extension amd-opencl amd-openvx amd-modules amd-gpu artificial-intelligence artificial-neural-networks machine-learning machine-intelligence convolutional-neural-networks object-detection | ai |
TAC | tac absorbed in creating global biggest traceability public chain nbsp nbsp we hope to basing on the technology of block chain adopting unique non tamper distributed ledger characteristics of the block chain build the traceability cloud platform solve the enterprise s difficulties in information traceability anti counterfeit verification and mobile marketing during commodity production nbsp nbsp circulation and distribution and terminal consumption process through the sub chain of the landing project and corresponding dapp application and provide a fast and efficient cluster of cloud services development for the technical developers so as to solve the problem of trusted for brand enterprises and consumers and then build a new block chain ecosystem traceability chain as the future world selectable internet value transmission protocol and push forward the practicability and usability of the whole block chain industry nbsp nbsp as the most promising block chain ecosystem it perfectly combines the advantages of ethereum and bitshares nbsp nbsp traceability chain will also constantly and gradually form the block chain economy through the construction of the foundation platform the design and development of the software and hardware products the development of various products and the development and iteration of the commercial landing project improve the industry efficiency and promote the effective and collaborative development of the society white paper to learn more about tac please read the white paper http dl tacblock com traceability chain whitepaper eng pdf http dl tacblock com traceability chain whitepaper pdf official links official website eng https tacchain io https tacchain cn company news eng https blog tacchain io https blog tacchain cn | server |
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