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ghost | ghost node front end automation test framework written in node js selenium webdriver camme webdriverjs webdriverjs 1 camme c 2 webdriverjs mocha 3 api ghost jquery api prerequirement webdriver2 0 http code google com p selenium downloads detail name selenium server standalone 2 24 1 jar can 2 q x java jar selenium server standalone 2 x x jar chrome chrome driver http code google com p chromedriver downloads list installation npm install webghost documentation getting started with web ghost https github com tbedp ghost blob master doc getting started md api documentation https github com tbedp ghost blob master doc apis md todo 1 webdriverjs 2 3 mocha should 4 5 cases 6 | front_end |
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ml-sklearn | tutorials on machine learning with scikit learn working with the wisconsin breast cancer dataset that comes with scikit learn one of the default pre processed and cleaned datasets the accompanying video tutorials are here https www youtube com playlist list plonlf40es6nynu5ayxghbz2qpdsuaycvf | ai |
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voteamerica.github.io | build status https travis ci org voteamerica voteamerica github io svg branch master https travis ci org voteamerica voteamerica github io carpool vote carpool vote connects volunteer drivers with anybody who needs a ride to claim their vote we are a nonpartisan organisation our goal is to increase voter turnout and improve representation we successfully deployed the site for the us 2016 election and now we are working hard on improvements for the various us elections in 2017 and beyond we re a team of volunteers from around the world working pro bono in our free time alongside our day jobs as a result we need all the help we can get and any contributions would be gratefully appreciated slack we have a slack team progcode slack com please email us mailto admin progcode org if you would like to join technical this site runs on jekyll https jekyllrb com and is hosted on github pages https jekyllrb com docs github pages from this respository we have an api set up at https github com voteamerica backend the current live version of the api can be accessed via https api carpoolvote com live while a test version is at https api carpoolvote com test we currently have a staging environment connected to the test api at https www richardwestenra com voteamerica github io installation you ll need to have ruby installed if you haven t already ideally via a ruby version manager like rbenv https github com rbenv rbenv or rvm https rvm io and also install jekyll and bundler https jekyllrb com docs quickstart with gem install jekyll bundler once jekyll is installed you can start a local server using jekyll serve to connect to the test api instead of the live one run jekyll serve config config yml config dev yml instead urls the main site is available at http carpoolvote com but there is a mirror at http souls2thepolls org which redirects to http carpoolvote com souls2thepolls this mirror has a different logo http carpoolvote com images logo souls2thepolls png and other small changes which are handled in querystring js https github com voteamerica voteamerica github io blob master scripts querystring js so that we don t need to maintain two separate websites operator page this secured area is built in a modular style the default style uses react redux although it is possible to use raw js etc there is support for an automatically created dev environment for windows linux and mac on https github com voteamerica backend contributing if you re interested in contributing to this project read our guidelines for how to contribute docs contributing md first and also please be aware of our code of conduct docs code of conduct md | front_end |
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IoT_Board | rt thread iot board sdk https github com rt thread rt thread tree master bsp stm32 stm32l475 atk pandora https github com rt thread iot board tree master docs rt thread iot sdk iot board iot sdk rt thread iot board iot board iot board docs figures iot board png iot board 128kb sram 512kb flash 9 16 2 32 2 dma 14 3 spi 2 sai 3 iic 5 usb otg can 3 12 adc 2 12 dac rtc sdio fsmc 82 io 80mhz iot sdk iot sdk 30 mdk iar gcc rt thread 01 led blink led 02 rgb led rgb led 03 key 04 beep motor 05 ir 06 lcd lcd 07 temp humi aht10 08 als ps ap3216c 09 axis 6 icm 20608 10 usb mouse usb 11 fs tf card tf 12 pm 13 fal flash fal flash 14 kv easyflash kv 15 fs flash spi flash 16 wifi manager wifi manager wifi 17 at wifi 8266 esp8266 at wifi 18 spi eth enc28j60 enc28j60 19 mqtt paho mqtt mqtt 20 http client web client http client 21 tls mbedtls tls 22 ota ymodem ymodem ota 23 ota http http ota 24 netutils 25 cloud rtt rt thread ota shell log 26 cloud onenet onenet 27 cloud ali iotkit 28 cloud ms azure azure 29 web server web 30 demo 31 micropython micropython docs board an0001 rt thread pdf an0002 rt thread gpio pdf gpio an0003 rt thread i2c pdf i2c an0004 rt thread spi pdf spi an0006 rt thread qemu pdf qemu rt thread an0009 rt thread systemview pdf systemview an0010 rt thread pdf lwip an0011 rt thread pdf an0012 rt thread pdf rt thread an0014 rt thread at pdf rt thread at an0017 rt thread pdf rt thread an0018 rt thread pdf rt thread netutils an0020 rt thread eclipse qemu pdf eclipse qemu rt thread an0021 rt thread vs code qemu pdf vs code qemu rt thread an0022 rt thread ulog pdf rt thread ulog an0023 rt thread qemu pdf qemu rt thread an0024 rt thread ulog pdf rt thread ulog an0025 rt thread pdf rt thread pdf rt thread um1001 rt thread webclient pdf webclient um1002 rt thread ali iotkit pdf rt thread ali iotkit um1003 rt thread onenet pdf rt thread onenet um1004 rt thread ota pdf rt thread ota um1005 rt thread paho mqtt pdf paho mqtt um1006 rt thread mbedtls pdf rt thread mbedtls um1007 rt thread azure iot sdk pdf azure iot sdk um1008 rt thread pdf rt thread um1009 rt thread pdf power management um1010 rt thread web webnet pdf rt thread webnet um3001 rt thread iot board wifi pdf iot board wifi um3002 rt thread iot board pdf rt thread iot board sdk um3003 rt thread iot board pdf rt thread iot board sdk um3004 rt thread iot board pdf rt thread iot board sdk um3005 rt thread iot board pdf rt thread iot board sdk iot sdk rt thread rt thread rt thread rt thread https www rt thread org document site rtthread tutorial gd0001 rtthread introducing rt thread rt thread https www rt thread org document site rtthread development guide readme | server |
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Ecommproject | ecommproject project my project setting up the local environment and workspace this guide explains how to set up your environment for angular development using the angular cli tool it includes information about prerequisites installing the cli creating an initial workspace and starter app and running that app locally to verify your setup try angular without local setup if you are new to angular you might want to start with try it now which introduces the essentials of angular in the context of a ready made basic online store app that you can examine and modify this standalone tutorial takes advantage of the interactive stackblitz environment for online development you don t need to set up your local environment until you re ready prerequisites to use the angular framework you should be familiar with the following javascript html css knowledge of typescript is helpful but not required to install angular on your local system you need the following node js angular requires a current active lts or maintenance lts version of node js for information about specific version requirements see the engines key in the package json file for more information on installing node js see nodejs org if you are unsure what version of node js runs on your system run node v in a terminal window npm package manager angular the angular cli and angular applications depend on npm packages for many features and functions to download and install npm packages you need an npm package manager this guide uses the npm client command line interface which is installed with node js by default to check that you have the npm client installed run npm v in a terminal window install the angular cli you use the angular cli to create projects generate application and library code and perform a variety of ongoing development tasks such as testing bundling and deployment to install the angular cli open a terminal window and run the following command content copy npm install g angular cli create a workspace and initial application you develop apps in the context of an angular workspace to create a new workspace and initial starter app run the cli command ng new and provide the name my app as shown here content copy ng new my app the ng new command prompts you for information about features to include in the initial app accept the defaults by pressing the enter or return key the angular cli installs the necessary angular npm packages and other dependencies this can take a few minutes the cli creates a new workspace and a simple welcome app ready to run you also have the option to use angular s strict mode which can help you write better more maintainable code for more information see strict mode run the application the angular cli includes a server so that you can build and serve your app locally navigate to the workspace folder such as my app run the following command content copy cd my app ng serve open the ng serve command launches the server watches your files and rebuilds the app as you make changes to those files the open or just o option automatically opens your browser to http localhost 4200 if your installation and setup was successful you should see a page similar to the following welcome to my app next steps for a more thorough introduction to the fundamental concepts and terminology of angular single page app architecture and design principles read the angular concepts section work through the tour of heroes tutorial a complete hands on exercise that introduces you to the app development process using the angular cli and walks through important subsystems to learn more about using the angular cli see the cli overview in addition to creating the initial workspace and app scaffolding you can use the cli to generate angular code such as components and services the cli supports the full development cycle including building testing bundling and deployment for more information about the angular files generated by ng new see workspace and project file structure deploying an application deploying your application is the process of compiling or building your code and hosting the javascript css and html on a web server this section builds on the previous steps in the getting started tutorial and shows you how to deploy your application prerequisites a best practice is to run your project locally before you deploy it to run your project locally you need the following installed on your computer node js the angular cli from the terminal install the angular cli globally with content copy npm install g angular cli with the angular cli you can use the command ng to create new workspaces new projects serve your application during development or produce builds to share or distribute running your application locally download the source code from your stackblitz project by clicking the download project icon in the left menu across from project to download your files create a new angular cli workspace using the ng new command where my project name is what you would like to call your project content copy ng new my project name this command displays a series of configuration prompts for this tutorial accept the default settings for each prompt in your newly cli generated application replace the src folder with the src folder from your stackblitz download use the following cli command to run your application locally content copy ng serve to see your application in the browser go to http localhost 4200 if the default port 4200 is not available you can specify another port with the port flag as in the following example content copy ng serve port 4201 while serving your application you can edit your code and see the changes update automatically in the browser to stop the ng serve command press ctrl c building and hosting your application to build your application for production use the build command with the prod flag content copy ng build prod this command creates a dist folder in the application root directory with all the files that a hosting service needs for serving your application if the above ng build command throws an error about missing packages append the missing dependencies in your local project s package json file to match the one in the downloaded stackblitz project copy the contents of the dist my project name folder to your web server because these files are static you can host them on any web server capable of serving files such as node js java net or any backend such as firebase google cloud or app engine for more information see building amp serving and deployment what s next in this tutorial you ve laid the foundation to explore the angular world in areas such as mobile development ux ui development and server side rendering you can go deeper by studying more of angular s features engaging with the vibrant community and exploring the robust ecosystem learning more angular for a more in depth tutorial that leads you through building an application locally and exploring many of angular s most popular features see tour of heroes to explore angular s foundational concepts see the guides in the understanding angular section such as angular components overview or template syntax joining the community tweet that you ve completed this tutorial tell us what you think or submit suggestions for future editions keep current by following the angular blog exploring the angular ecosystem to support your ux ui development see angular material to test your angular applications see angular protractor the angular community also has an extensive network of third party tools and libraries | server |
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cpe332_database_ae | cpe332 database ae cpe332 database automation engineering | server |
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2023_EBD | u https zjuerdfl github io 2023 ebd u 2022 2023 u warm up https zjuerdfl github io 2023 ebd warm up u u stm32cubeide https zjuerdfl github io 2023 ebd warm up 1 stm32cubeide u 7 1 task pdf lab pdf markdown markdown u https zjuerdfl github io 2023 ebd download u u group project https zjuerdfl github io 2023 ebd project u warning pdf zip lab 1 https zjuerdfl github io 2023 ebd lab1 lab1 lab 2 mcu https zjuerdfl github io 2023 ebd lab2 lab2 lab 3 https zjuerdfl github io 2023 ebd lab3 lab3 lab 4 https zjuerdfl github io 2023 ebd lab4 lab4 lab 5 https zjuerdfl github io 2023 ebd lab5 lab5 lab 6 https zjuerdfl github io 2023 ebd lab6 lab6 lab 7 https zjuerdfl github io 2023 ebd lab7 lab7 group project https zjuerdfl github io 2023 ebd project project stm32f103c8t6 x 1 st link v2 x 1 usb uart x 1 esp32 x 1 micro usb x 1 x 1 led | os |
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design-system-starter | the australian government design system has been decommissioned visit our community page for more information https community digital gov au t dta design system has been decommissioned 4649 australian government design system starter get started with full page templates using the australian government design system contents templates templates development environment development environment get started get started how it works how it works prerequisites prerequisites contributing contributing license license templates browse full page templates using the australian government design system home page https design system starter apps b cld gov au content page https design system starter apps b cld gov au content form page https design system starter apps b cld gov au form development environment clone this repository to create a local development environment and start modifying the templates get started get started how it works how it works contributing contributing license license get started the starter pack uses npm node package manager to set up a local development environment and install the design system components the default package manager for node is npm when you download node npm comes pre installed 1 make sure you have npm and node installed on your computer you can follow the npm instructions https www npmjs com get npm if you are unsure 1 download clone or fork this repository into a folder on your computer 1 in the command line go into this folder and run npm install this will install dependencies necessary for the local development environment 1 you should now be ready to start your local server by running npm run watch this will watch for changes on scss files create new css files and refresh the browser using docker build the image bash docker build t ds starter then run the image and map the volume note pwd is not supported in windows bash docker run rm volume pwd app p 3000 3000 it ds starter back to top contents how it works in your directory you have a package json file this file points to dependencies to install when running npm install when you run npm install you install all of the design system components and additional packages related to the local development environment after npm install pancake https github com govau pancake is ran this checks that your dependencies work together and creates the docs js script min js and src sass uikit scss the src sass main scss imports the generated uikit scss you shouldn t touch the uikit scss file as it is generated but feel free to change the main scss file when the user runs npm run build or npm run watch we use node sass https www npmjs com package node sass activetab versions to convert the src sass main scss file into the docs css main css file autoprefixer https www npmjs com package autoprefixer is ran after compilation to add vendor prefixes to the main css file refer to the package json scripts for how this has been set up this set up allows you to modify the variables in the design system file from the main scss file you can add your own colour scheme or change the typography and spacing tweaks to the components or additional ones should be added below the import of uikit scss changes to these files will be injected into your browser so you don t even need to refresh thanks to browser sync https www browsersync io the docs folder in the contains all the files required to publish a website the index html file references the main css file and script min js assets to generate the page we name the folder docs because github pages https pages github com uses the docs folder to host static websites back to top contents prerequisites node js https nodejs org 8 or higher preferably the current lts version note if you re developing on windows please ensure that your local npm configuration is using a shell that supports unix like folder pathing https stackoverflow com questions 23243353 how to set shell for npm run scripts in windows i e a unix path rather than a windows path back to top contents contributing to contribute to the australian government design system starter pack 1 fork the project clone it locally 1 create a new branch for the work that is going to be completed 1 complete the work and test it to the best of your abilities following the guidelines here https github com govau uikit checklist and browser support 1 once the work is completed write a good commit message 1 push your work to github and create a new pull request 1 respond to any code review feedback back to top contents license copyright c commonwealth of australia with the exception of the commonwealth coat of arms and where otherwise noted this work is licensed under the mit license https raw githubusercontent com govau design system starter master license back to top contents | government australia starter-kit starter-project design-systems pattern-library auds components | os |
IOSD-dev-week | iosd dev week a flutter project for introduction to cross platform mobile application development code along | flutter | front_end |
cloud-data-warehouse | cloud data warehouse udacity data engineer nano degree project 3 introduction a music streaming startup sparkify has grown their user base and song database and want to move their processes and data onto the cloud their data resides in s3 in a directory of json logs on user activity on the app as well as a directory with json metadata on the songs in their app as their data engineer you are tasked with building an etl pipeline that extracts their data from s3 stages them in redshift and transforms data into a set of dimensional tables for their analytics team to continue finding insights in what songs their users are listening to you ll be able to test your database and etl pipeline by running queries given to you by the analytics team from sparkify and compare your results with their expected results the goal the purpose of this project is to build an etl pipeline that extracts their data from s3 stages them in redshift and transforms data into a set of dimensional tables for their analytics team to continue finding insights in what songs their users are listening to original udacity schema for song play analysis using the song and log datasets the projects wants a star schema optimized for queries on song play analysis this includes the following tables fact table songplays records in log data associated with song plays i e records with page nextsong songplay id start time user id level song id artist id session id location user agent dimension tables users users in the app user id first name last name gender level songs songs in music database song id title artist id year duration artists artists in music database artist id name location latitude longitude time timestamps of records in songplays broken down into specific units start time hour day week month year weekday personal schema for song play analysis img src starschema png alt drawing width 600 | cloud |
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Loan_Predictor | performed exploratory data analysis through thorough visualizations of bank customers database in jupyter notebook maximized accuracy through strong feature engineering and meticulous data cleaning | server |
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Breast_Cancer_Image_Recognition | breast cancer image recognition the objective of the task is to examine the predictive classification power of convnets on high resolution breast cancer histopathological images obtained from http web inf ufpr br vri breast cancer database spanhol f oliveira l s petitjean c heutte l a dataset for breast cancer histopathological image classification ieee transactions on biomedical engineering tbme 63 7 1455 1462 2016 | server |
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LLM-Sentiment | llm sentiment this repo contains the data and code for our paper sentiment analysis in the era of large language models a reality check https arxiv org abs 2305 15005 usage 0 fill in your openai api key in the bash files under script folder for example python predict py setting zero shot model chat use api api your api here 1 run zero shot and evaluate bash script run zero shot sh bash script eval zero shot sh 2 run few shot and evaluate bash script run few shot sh bash script eval few shot sh note 1 to view the summary of prompts and evaluation results please navigate to the output folder and check the respective task folder 2 you can specify selected tasks and selected datasets to only run with certain tasks or datasets citation if the code is used in your research please star our repo and cite our paper as follows misc zhang2023sentiment title sentiment analysis in the era of large language models a reality check author wenxuan zhang and yue deng and bing liu and sinno jialin pan and lidong bing year 2023 eprint 2305 15005 archiveprefix arxiv primaryclass cs cl | ai |
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design-system | p align center a href https github com assurance maladie digital design system img src https user images githubusercontent com 10298932 55887504 ede21f80 5bad 11e9 891f 231fe0848d59 png alt width 180 a p h1 align center cnam design system h1 p align center a design system for the french health insurance p p align center a href https github com assurance maladie digital design system blob v2 license img src https flat badgen net badge license mit blue alt license mit a a href https www npmjs com package cnamts vue dot img src https flat badgen net npm v cnamts vue dot alt npm version a a href https codecov io gh assurance maladie digital design system img src https flat badgen net codecov c github assurance maladie digital design system alt codecov a a href https www browserstack com img src https flat badgen net badge powered 20by browserstack blue alt powered by browserstack a p introduction the goal of our design system is to unify our work which allows teams to share their knowledge more easily and speed up development of products ecosystem table thead tr th package th th description th tr thead tbody tr td a href packages vue dot vue dot a td td component library that implements our design system td tr tr td a href https github com assurance maladie digital vue cli preset vue cli preset a td td vue cli preset to scaffold front end projects td tr tr td a href packages vue cli plugin vue dash vue cli plugin vue dash a td td vue cli plugin used in our preset to scaffold front end projects td tr tr td a href packages form builder formbuilder a td td formbuilder components td tr tr td a href packages design tokens design tokens a td td design tokens of our design system td tr tr td a href packages eslint config eslint config a td td eslint configurations used across our projects td tr tr td a href packages eslint config vue eslint config vue a td td eslint configuration used across our vue js projects td tr tbody table contributing if your are interested in contributing you should read the code of conduct code of conduct md and the contribution guide contributing md license our design system is licensed under mit license license | design-system vuejs cnam health-insurance france vue-cli vue components | os |
pharos | div align center a href https github com thinkjs pharos img width 200 heigth 200 src https s5 ssl qhres com static ec27d755f78b76ce svg a h1 pharos h1 div a href https github com thinkjs pharos img src https img shields io badge node 3e 3d8 9 4 red svg style flat square alt node version required a a href https github com thinkjs pharos releases img src https img shields io github release thinkjs pharos svg style flat square alt github release a a href https github com thinkjs pharos releases img src https img shields io github downloads thinkjs pharos total svg style flat square alt github all releases a div div a href https github com thinkjs pharos issues q is 3aissue is 3aclosed img src https img shields io github issues closed raw thinkjs pharos svg style flat square alt a a href https github com thinkjs pharos blob master license img src https img shields io github license thinkjs pharos svg colorb f48041 style flat square alt license a div p a simple front end monitor system base on thinkjs 3 reactjs es2015 p div | front_end |
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nerdos | nerdos logo https raw githubusercontent com pluveto 0images master 2023 01 upgit 20230125 1674617889 png a hobbyist operating system written in rust based on equation314 nimbos https github com equation314 nimbos todo x net driver cfs scheduler i found the rbt implementation but cfs is still a bit difficult and takes time message queue x k210 support x grub start development environment 1 clone the repository sh git clone https github com cargo youth nerdos 2 switch rust toolchain to nightly sh rustup install nightly rustup default nightly 3 install packages sh sudo apt install autoconf automake autotools dev curl libmpc dev libmpfr dev libgmp dev gawk build essential bison flex texinfo gperf libtool patchutils bc zlib1g dev libexpat dev pkg config libglib2 0 dev libpixman 1 dev libsdl2 dev git tmux python3 python3 pip ninja build for arch linux sh packages ninja ninja autoconf automake libmpc gawk bison flex texinfo gperf libtool patchutils bc expat glib2 pixman sdl2 python libbpf cmake cargo binutils sudo pacman s needed packages 4 install qemu sh mkdir kit here we create a directory in the project root to store the tools pushd kit wget https download qemu org qemu 7 2 0 tar xz tar xf qemu 7 2 0 tar xz cd qemu 7 2 0 configure target list x86 64 softmmu aarch64 softmmu riscv64 softmmu i386 softmmu enable debug make j nproc popd and then add the following line to your bashrc sh export path path path to kit qemu 7 0 0 build here path to kit is the path to the kit directory for example home pluveto workspace playground nerdos kit qemu 7 0 0 build 5 install musl select your target architecture from musl cc https musl cc sh pushd kit wget https musl cc x86 64 linux musl cross tgz tar xf x86 64 linux musl cross tgz popd and then add the following line to your bashrc sh export path path path to kit x86 64 linux musl cross bin here path to kit is the path to the kit directory for example home pluveto workspace playground nerdos kit x86 64 linux musl cross bin 6 test qemu and musl restart your terminal and run the following commands sh qemu system x86 64 version x86 64 linux musl gcc version build run in qemu sh cd kernel make env make run arch x86 64 log warn or make run arch riscv64 log warn or make run arch aarch64 log warn if you encounter any problems try add a verbose 1 to the make something command sh make run verbose 1 troubleshooting 1 make run fails with error linker x86 64 linux musl gcc not found this is because the x86 64 linux musl gcc is not in your path or failed to build the musl toolchain 1 make run fails with could not access kvm kernel module no such file or directory this is because you don t have kvm enabled try to enable it in your bios or try to run the following command sh sudo modprobe kvm intel if it shows modprobe error could not insert kvm intel operation not supported then you don t have kvm enabled try to enable it or switch to another architecture 1 make run fails with riscv64 linux musl gcc no such file or directory this is because you don t have the riscv64 musl toolchain installed try to install it with the following command sh pushd kit wget https musl cc riscv64 linux musl cross tgz tar xf riscv64 linux musl cross tgz popd and then add the following line to your bashrc sh export path path path to kit riscv64 linux musl cross bin here path to kit is the path to the kit directory for example home pluveto workspace playground nerdos kit riscv64 linux musl cross bin 2 install qemu fails with gcc version is too low centos try to update it with the following command sh yum install centos release scl scl enable devtoolset 8 bash and then you can check its version by running the following commands sh gcc v code tree guide take riscv as an example text arch arch related aarch64 config rs context rs instructions rs mod rs page table rs percpu rs trap rs trap s mod rs riscv riscv architecture related config rs configuration files kernel and user address space settings and the sv39 paging mechanism context rs context related registers and processing logic instructions rs macros rs mod rs page table rs page mechanism percpu rs trap rs trap logic processing trap s trap assembly logic x86 64 config rs context rs gdt rs idt rs instructions rs mod rs page table rs percpu rs syscall rs syscall s trap rs trap s drivers interrupt apic rs gicv2 rs i8259 pic rs mod rs riscv intc rs riscv interrupt processing related misc mod rs psci rs qemu x86 reset rs sbi rs sbi support mod rs timer clock arm generic timer rs mod rs riscv rs riscv clock setting x86 common rs x86 hpet rs x86 tsc rs uart mod rs pl011 rs riscv rs input and output in riscv uart16550 rs mm address space address rs physical virtual frame allocator rs physical page frame allocator heap allocator rs kernel dynamic memory allocation memory set rs introducing address spaces and logical segments etc mod rs mm initialization method paging rs page table abstraction and other content such as establishing and dismantling mapping relationship unmap and map uaccess rs platform config rs mod rs pc mod rs multiboot rs multiboot s qemu virt arm mod rs qemu virt riscv mod rs sync synchronous mutex module lazy init rs mod rs mutex rs todo percpu rs spin rs syscall fs rs sys read sys write mod rs syscall dispatch processing task rs sys getpid fork exec waitpid exit clone time rs current time task manager rs task manager mod rs schedule rr scheduling and then we need to implement cfs scheduling mod rs round robin rs structs rs task related status wait queue rs utils allocator rs irq handler rs mod rs ratio rs timer list rs config rs configuration related includes memory size cpu number scheduling related lang items rs panic processing logic loader rs app loads memory and manages it logging rs multi level log and color output main rs main function timer rs percpu rs cpu logic | aarch64 riscv x86-64 rtos | os |
zephyr_nrf52_cap1106_test | nrf52832 and cap1106 test introduction testing nrf52 cap1106 using zephyr build setup zephyr setup nrfjprog bash mkdir build cd build cmake dboard nrf52 vbluno52 make j4 flash bash cd build flash sh | os |
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regular-ui | regular ui regular ui is a set of front end components built with regularjs regularjs to get started check out http regular ui github io npm version npm badge npm bower version bower badge bower dependency status deps badge deps devdependency status dev deps badge dev deps quick start following options to get regular ui download the latest release latest install with bower bower bower install regular ui install with npm npm npm install regular ui you can find the compiled regular ui distribution in bower repo repo bower docs all documentations are generated in the directory of doc by gulp you can read them on github page documentation conveniently or download them to local browser support chrome https raw github com alrra browser logos master chrome chrome 48x48 png firefox https raw github com alrra browser logos master firefox firefox 48x48 png ie https raw github com alrra browser logos master internet explorer internet explorer 48x48 png safari https raw github com alrra browser logos master safari safari 48x48 png opera https raw github com alrra browser logos master opera opera 48x48 png latest latest ie8 latest latest develop first of all clone the code shell git clone git github com regular ui regular ui git install project dependencies shell cd regular ui npm install if you don t have used gulp before you need to install the gulp package as a global install shell npm install gulp g now you can start to develop run gulp to watch and compile source files for developing anytime they are modified run gulp all to prepare css and js index files include all components based on structure js run gulp customize to prepare css and js index files include partial components based on structure customized js run gulp dist to compile a distribution to dist directory run gulp bower to compile a distribution to dist directory and sync to bower repo repo bower run gulp doc to rebuild docs without watching run gulp page to rebuild docs and sync to github page repo repo page run npm test to start karma for testing cases structure i m lazy to translate regular ui regular ui bower css css fonts regular ui fontawesome js js mcss mcss scss scss vendor bower json bower readme md regular ui src regular ui src js js base module js unit js util js index js js mcss mcss bootstrap bootstrap core default default flat flat simple simple bootstrap mcss bootstrap default mcss default flat mcss flat simple mcss simple regular ui doc src regular ui doc src assets doc mcss doc mcss view common api ejs cssmodule css markdown cssunit css markdown jsmodule js markdown jsunit js markdown start markdown index md build js buildall js cssdoc js jsdoc js js api premark js markdown sitemap json referenced websites netease nec http nec netease com nej http nej netease com based on jquery bootstrap http v3 bootcss com uikit http www getuikit net semantic ui http semantic ui com amaze ui http amazeui org foundation http foundation zurb com materializecss http materializecss com based on angularjs angular ui https angular ui github io lumx http ui lumapps com angular material https material angularjs org based on react react bootstrap http react bootstrap github io components html ant design http ant design material ui http www material ui com based on web component polymer https www polymer project org others kendo ui http demos telerik com kendo ui extjs http docs sencha com extjs 4 0 7 versioning regular ui is maintained by using the semantic versioning specification semver semver contributing see the contributing guidelines contributing for details copyright and license code released under the mit license npm https www npmjs com package regular ui npm badge https badge fury io js regular ui svg bower http bower io bower badge https badge fury io bo regular ui svg deps badge https david dm org regular ui regular ui svg deps https david dm org regular ui regular ui dev deps badge https david dm org regular ui regular ui dev status svg dev deps https david dm org regular ui regular ui info devdependencies peer deps badge https david dm org regular ui regular ui peer status svg peer deps https david dm org regular ui regular ui info peerdependencies repo main https github com regular ui regular ui repo bower https github com regular ui regular ui bower repo page https github com regular ui regular ui github io latest https github com regular ui regular ui bower releases latest documentation http regular ui github io contributing https github com regular ui regular ui blob master contributing md regularjs https github com regularjs regular semver http semver org | front_end |
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KopoBlockchain | kopoblockchain python blockchain implementation for educational purposes dept of smart finance of korea polytechnics you must run blockchian server before follow these instructions below contents getblockdata getblockdata generateblock generateblock newblock newblock newtx newtx post validateblock validateblock diagrams diagrams getblockdata you can get block data by link down below get method you must run myblockchain py on pycharm before click this link http localhost 8666 block getblockdata this is example request for getblockdata curl curl location request get http localhost 8666 block getblockdata generateblock you should write tx before generate a new block if you don t write new tx mining will be aborted you can write new tx here newtx newtx post you can generate a new block by link down below it use get method to run this function http localhost 8666 block generateblock this is example request for generateblock curl curl location request get http localhost 8666 block generateblock newblock you can mine a new block by link down below it also use get method to run this function http localhost 8666 block minenewblock this is example request for newblock curl curl location request get http localhost 8666 block minenewblock newtx post please use post method for this example request you have to fill out headers and body before when you send requests content type key application json value body raw json this is example request for newtx curl post method curl location request post http localhost 8666 block newtx header content type application json data raw sender sender name amount number of amounts receiver receiver name validateblock you can check that new block is valid or not you have to figure out currenthash data index previoushash proof timestamp before validate new block use post method same as newtx before this is example request for validateblock curl post method curl location request post http localhost 8666 block validateblock data raw currenthash aad22d5f3bb41eaacda9883106e8770cf9818a710cba5309e11bfd4721dfee6f data genesis block index 0 previoushash 0 proof 0 timestamp 1654828634 695756 diagrams flow chart image for generateblock initial https github com sunghwannam kopoblockchain blob 283eac7a1299875d4ff556ae97afd2aae0e8186b generateblock png flow chart image for getblockdata initial https github com sunghwannam kopoblockchain blob 283eac7a1299875d4ff556ae97afd2aae0e8186b getblockdata png flow chart image for addnodedata untitled diagram page 8 drawio https user images githubusercontent com 103026653 174598167 26169227 3869 4c40 9fb2 385ac397b23a png | blockchain |
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Function-Generator | function generator umassd ece 388 embedded system design project scope simple function gnerator produces sinusoid square and triangle waves adjustable frequency up to 1mhz adjustable gain between 10v adjustable phase rotary encoder w push button to select setting and change value keypad to enter value lcd display | os |
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chirpstack-application-server | chirpstack application server tests https github com brocaar chirpstack application server actions workflows main yml badge svg branch master chirpstack application server is an open source lorawan application server part of the chirpstack https www chirpstack io open source lorawan network server stack it is responsible for the node inventory part of a lorawan infrastructure handling of received application payloads and the downlink application payload queue it comes with a web interface and api restful json and grpc and supports authorization by using jwt tokens optional received payloads are published over mqtt and payloads can be enqueued by using mqtt or the api chirpstack v4 note with the release of chirpstack v4 the source code has been migrated to https github com chirpstack chirpstack https github com chirpstack chirpstack please refer to the v3 to v4 migration guide https www chirpstack io docs v3 v4 migration html for information on how to migrate your chirpstack v3 instance architecture architecture https www chirpstack io static img graphs architecture dot png component links chirpstack gateway bridge https www chirpstack io gateway bridge chirpstack network server https www chirpstack io network server chirpstack application server https www chirpstack io application server links downloads https www chirpstack io application server overview downloads docker image https hub docker com r chirpstack chirpstack application server documentation screenshots https www chirpstack io application server and getting started https www chirpstack io application server getting started building from source https www chirpstack io application server community source contributing https www chirpstack io application server community contribute support support forum https forum chirpstack io bug or feature requests https github com brocaar chirpstack application server issues license chirpstack application server is distributed under the mit license see also license https github com brocaar chirpstack application server blob master license | chirpstack lorawan lora iot application-server | server |
LLM4JDM | large language models in jugdment and decision making research a workshop by zak hussain sudeep bhatia and dirk wulff br location time b meeting room b lc 2 400 club lounge see google maps https goo gl maps 9nqky6m7dx6puq5v6 br b venue b vienna university of economics and business wirtschaftsuniversit t wien wu br b address b welthandelsplatz 1 1020 vienna building library and learning center lc br b time b august 20th between 9 45 am 3 00 pm schedule 9 45 am 10 15 am intro to large language models llm4jdm intro pdf br 10 15 am 10 45 am intro to huggingface llm4jdm huggingface pdf br 10 45 am 11 15 am break br 11 15 am 12 00 pm exercise 1 predicting health perception br 12 00 pm 1 00 pm lunch br 1 00 pm 2 00 pm exercise 2 predicting personality structure br 2 00 pm 2 30 pm exercise 3 predicting cognitive reflection br 2 30 pm 3 00 pm discussion br resources hugging face documentation https huggingface co docs br hugging face book https transformersbook com environment setup there are two options for setting up your python environment i google colab cloud based ii locally for the purposes of this workshop we recommend using golab due to the ease of setup and the availability of gpus however if you would like to use your own machine we also provide instructions for setting up your environment locally i google colab 1 if you do not have a google account you will need to create one this can be deleted after the workshop 2 navigate to google drive https drive google com 3 in the top left click new more colaboratory if you do not see colaboratory you may need to click connect more apps search for colaboratory and install it then click new more colaboratory please only do the following on the day of the workshop 5 run the following code snipped in the first cell shift enter of your notebook to mount your google drive to the colab environment a pop up will ask you to connect click through the steps to connect your google drive to colab you will have to do this every time you open a new notebook from google colab import drive drive mount content drive 5 clone the github repository to your google drive by running the following code snippet in the second cell of your notebook cd content drive mydrive git clone https github com dwulff llm4jdm git 6 go back to your google drive and navigate to the folder llm4jdm you should see the directories ex1 ex2 and ex3 containing the relevant notebooks ipynb files and data it may take a couple of minutes for the files to appear 7 open the notebook for exercise 1 vaccine ipynb 8 in the top menu bar click runtime change runtime type hardware accelerator t4 gpu 9 run the first cell of the notebook to install the required packages this may take a few minutes and ask for you to give permission to access your google drive you are now ready to start the exercises ii local 1 install miniconda https docs conda io en latest miniconda html 2 create a new conda environment by running the following command in your terminal conda create name llm4jdm python 3 8 the terminal will ask you to confirm the installation type y and press enter do the same for any subsequent steps 3 activate the environment by running the following command in your terminal conda activate llm4jdm 4 install the required packages by running the following commands in your terminal conda install c huggingface c conda forge jupyter pandas numpy scikit learn transformers datasets accelerate and pip install evaluate 5 install pytorch if you are using a mac you can install an apple m1 m2 gpu compatible version of pytorch by running the following command in your terminal this will drastically speed up the exercises if your mac has an m1 m2 chip pip3 install pre torch torchvision torchaudio index url https download pytorch org whl nightly cpu if you are using windows or linux please follow the instructions at https pytorch org get started locally to install the appropriate version of pytorch for your system please only do the following on the day of the workshop 6 download the github repository from https github com dwulff llm4jdm and unzip it 7 navigate to the folder llm4jdm in your terminal 8 run the following command in your terminal to start the jupyter notebook server jupyter notebook you are now ready to start the exercises | ai |
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mirror | smart mirror this is the source code for the prototype ui of my smart mirror projects outlined in this article https medium com maxbraun my bathroom mirror is smarter than yours 94b21c6671ba and its follow up https medium com maxbraun smarter mirrors and how theyre made 327997b9eff7 smart mirror 1 mirror 1 jpg https medium com maxbraun my bathroom mirror is smarter than yours 94b21c6671ba smart mirror 2 mirror 2 jpg https medium com maxbraun smarter mirrors and how theyre made 327997b9eff7 to get started import the whole project into android studio http developer android com tools studio index html then build and run the apk the first prototype uses homeactivity java app src main java net maxbraun mirror homeactivity java and the second one uses compacthomeactivity java app src main java net maxbraun mirror compacthomeactivity java while the time date and news show up without any additional changes you need to first enable the respective apis in order to see the weather commute and body measures edit keys xml app src main res values keys xml and enter the keys for the accuweather api https developer accuweather com the airnow api https docs airnowapi org the google maps directions api https developers google com maps documentation directions start and the withings api https developer withings com oauth2 the home and work addresses and the travel mode for the commute are pulled from a firebase realtime database https firebase google com docs database and can be edited in the firebase console https console firebase google com after adding firebase to your android studio project https firebase google com docs android setup the client expects a commute settings path with string children home work and travel mode the composition of the compact ui app src main java net maxbraun mirror compacthomeactivity java is also configured via the firebase database the compact ui settings path has boolean children for body commute time and weather that determine which ones are shown see database example json database example json for a sample layout | smart-mirror android iot | server |
Cloud_Engineering- | cloud engineering this is the cloud engineering course for 2022 | cloud |
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MobileApplications20-21 | mobile applications and cloud computing 20 21 repository of ivan fardin student of the mobile applications and cloud computing 20 21 course of the msc in engineering in computer science sapienza university of rome each folder contains a different app developed in kotlin using android studio visit my linkedin profile https it linkedin com in ivan fardin 304a001a3 trk people guest people search card for more details about me all rights reserved 666thenumberofthebeast | cloud |
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emulatorjs | emulatorjs helper the purpose of this application is to provide a self hosted solution for people looking to run retro games in their web browsers it consists of a backend application for scanning roms and ingesting art assets with a static frontend application for serving those files via any basic webserver the backend application is more or less a run once deal when you have finalized the menus how you like them the resulting static files of the frontend no longer require the backend helper this idea was born from a single need i wanted to run retro games on my xbox which now includes a modern chromium based web browser with microsoft edge web based emulators are popular online but always ingesting roms from external sources is a pain not to mention prone to being taken down at any time also their interfaces are never designed around basic controller input making navigation difficult with something like an xbox controller it is important to note that the current emulator used for this frontend is obfuscated code efforts are being made to reverese engineer it https github com ethanaobrien emulatorjs but you should know it can potentially reach out to third party services if you manually enable features like netplay this should never happen in a stock setup we are in the process to transitioning to libretro cores for emulators currently 27 30 emulators have been replaced for users we recommend using the docker container located here https github com linuxserver docker emulatorjs this will spin up the nodejs backend used for managing your configuration files and rom art assets an nginx webserver to serve the static frontend files an ipfs daemon for ingesting decentralized art asset files for the most part most things should be point and click hop into port 3000 click buttons add roms hop over to the frontend on port 80 and play all navigation should be compatible with the up down left right arrow keys on a keyboard thus working with a standard gamepad for asset creators the frontend is relatively simple it displays a psuedo wheel popular with emulation frontends like hyperspin and coinops layering pngs and videos on top of that based on the currently selected menu item the layout of these items can be seen below layout https github com linuxserver emulatorjs raw master docs layout png all images should be a png and run through pngquant for web optimization ie pngquant yourimage png videos should be mp4 format and compressed pretty heavily to be optimized for web while load quickly in the web interface ie using ffmpeg aac is also acceptable but i had better results with mp3 ffmpeg i input mp4 c v libx264 preset slow crf 32 acodec libmp3lame qscale a 7 output mp4 if you wish to participate in improving and expanding the asset collection for games you will need to have a basic understanding of the json in the metadata folder of this project let s take a look at an example entry in atari 2600 2a9647e27ab27e6cf82b3bf122edf212fa34ae86 name halo 2600 usa unl vid qmwncjnesteceguexrcmhlrs4qhpvwfv6lee3y5pq9utgn logo qmfvui1hfhneuppdgsvffgfpxdag2dnhhazdfkffkrwiee back qmsxacvtbfty1vsok9rdj47jz2yejb18td3rttpmpftw7d corner qmarperqzxtgpy88h744vhgcu1rgjtpv9hyttjhrqmnqhq video position left 11 5vw top 31 5vh width 36vw height 43vh this metadata entry links to the following files consisting of a full interface rendering https ipfs infura io ipfs qmwncjnesteceguexrcmhlrs4qhpvwfv6lee3y5pq9utgn https ipfs infura io ipfs qmfvui1hfhneuppdgsvffgfpxdag2dnhhazdfkffkrwiee https ipfs infura io ipfs qmsxacvtbfty1vsok9rdj47jz2yejb18td3rttpmpftw7d https ipfs infura io ipfs qmarperqzxtgpy88h744vhgcu1rgjtpv9hyttjhrqmnqhq while the video position variable is used to place the video in the correct location on the screen in general the only really needed art assets are the logo and video the background corner and position entry can all be rendered from the default files for the emulated system in question if you are making a highly custom screen for a particular game the video position might need to be set to something non default but it always needs to be in the vh and vw unit format to support any size scaling the end user might have it is impossible to assume a perfect 1080p or 16 9 aspect ratio on a users web browser the video is rendered by determining a starting top left corner position with left 11 5vw being the distance from the left of the browser window top 31 5vh being the distance from the top of the browser window and width 36vw height 43vh being the relative size all of the metadata entries are key based off public lists of rom cd dumps from https no intro org https no intro org and http redump org http redump org using the sha1 of the files this way when a user is scanning in their roms we can easily link them to the correct art assets for the menu entries for websites the libretro cores that are tested and functional are published as an easy to embed library here https github com linuxserver libretrojs developing and testing assets testing assets if you want to participate in contributing assets to this frontend you will need to test them locally first and know a couple things to get them properly ingested into the p2p ecosystem to test your local pngs and mp4s first place the files in the system directories for the game in question we will continue with the example of halo 2600 usa the file structure would look like data atari2600 roms halo 2600 usa zip data atari2600 backgrounds halo 2600 usa png data atari2600 logos halo 2600 usa png data atari2600 corners halo 2600 usa png data atari2600 videos halo 2600 usa mp4 then edit the corresponding config file for the system in this case atari2600 data config atari2600 json and the actual game entry title atari 2600 root atari2600 parent main display items 1 defaults emulator libretro stella2014 bios path atari2600 rom extension zip video position left 11 5vw top 31 5vh width 36vw height 43vh type game has back false has corner false has logo true has video true multi disc 0 items halo 2600 usa video position left 11 5vw top 31 5vh width 40vw height 50vh has back true has corner true in this config we are overriding the default video position but any of the defaults entries can be overridden on a per game basis this is also useful for mixing menus and games in the same interface we are also overriding the back and corner settings to tell the frontend to stop using the default png for the system and pull by the game s name pushing assets for network ingestion so you have the menu entry setup with new art assets locally in order to push changes to this repository you will first need to get your files into ipfs probably the easiest way to achieve that is with this bash command curl https ipfs infura io 5001 api v0 add pin true x post h content type multipart form data f file data atari2600 backgrounds halo 2600 usa png which should return something like name halo 2600 usa png hash qmsxacvtbfty1vsok9rdj47jz2yejb18td3rttpmpftw7d size 127764 qmsxacvtbfty1vsok9rdj47jz2yejb18td3rttpmpftw7d is the ipfs cid you need to submit as new metadata in the metadata atari2600 json file of this repository for the asset you uploaded once added to the metadata this art will be downloaded and config setup just as you do locally for users scanning in their own roms development simply run setup dev sh and use node or nodemon to start the application with nodemon index js you will need a local ipfs node running to use any of the download features of the application the application can be accesed at backend http localhost 3000 frontend http localhost 3000 frontend index html the application is written in jquery and scanning is backed by a simple bash helper the idea is to keep it as simple as possible people will not be spending hours in the backend interface the frontend is all designed around converting json configs images videos and roms into a useable web based emulator | front_end 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EnterpriseWebBook | enterprise web development from desktop to mobile this ia a home of the new book work in progress enterprise web development from desktop to mobile there are four co authors of this book yakov fain victor rasputnis viktor gamov and anatole tartakovsky the book is released under a creative commons attribution noncommercial sharealike 3 0 unported license http creativecommons org licenses by nc sa 3 0 meaning you can both get a copy of the book for free or help to further improve it this book will be printed and available for purchase via o reilly media http oreilly com readers will have an option of purchasing this book in a number of digital formats table of contents introduction enterprisewebbook blob master 0 introduction introduction mdown part 1 desktop ch1 html5 and its new apis enterprisewebbook blob master 1 desktop 01 html ch1 html mdown ch2 advanced intro to javascript enterprisewebbook blob master 1 desktop 02 javascript ch2 advancedjs mdown ch3 mocking up the save a child web site enterprisewebbook blob master 1 desktop 03 mockup ch3 mokup mdown ch4 using ajax and json ch4 ch5 test driven development with javascript enterprisewebbook blob master 1 desktop 05 testing javascript chapter 5 test driven development with javascript mdown ch6 save a child with jquery framework ch6 ch7 save a child with ext js framework ch7 ch8 replacing http with websockets enterprisewebbook blob master 1 desktop 08 websockets chapter 8 replacing http with websockets mdown ch9 securing web applications ch9 ch10 large scale javascript projects ch10 part 2 mobile ch11 responsive design one site fits all enterprisewebbook blob master 2 mobile 11 responsive mdown ch12 save a child with jquery mobile ch12 ch13 save a child with sencha touch 13 ch14 hybrid applications html native api 14 a name ch4 using ajax and json a after explaining the json data format we ll deploy save a child under the remote tomcat server on one of our servers we ll also provide the instructions on installing tomcat on the local machine for those readers who want to do it then goes the explanation of the ajax way of retrieving data from the remote server without the need to refresh the entire page in the final version of the web site the data feed will be organized by a java program deployed under a java ee server we ll use oracle s glassfish 4 0 for being the leader in implementing all the latest java ee specifications a name ch6 save a child with jquery framework a in this chapter we ll start introducing jquery framework to save a child code developed in chapters 2 5 while this chapter won t have a formal tutorial on the jquery framework we ll briefly explain its basics and each component that ll be used in save a child by the end of this chapter the reader has a working version of save a child site built using html javascript css json ajax and jquery framework a name ch7 save a child with ext js framework a in this chapter we ll use some of the code from ch 2 5 but this time we ll use the sencha s ext js framework the reader will learn the principles of building web sites with ext js we ll demo the use of our own open source generator clear data builder that can generate the ext js code based on java classes by the end of this chapter the reader will have working version of the save a child web site we ll also compare the pros and cons of its ext js and jquery s versions a name ch9 securing web applications a this chapter will add authentication and authorization features for the users save a child they will be able to login to this web site and perform different actions according to their role a name ch10 a the save a chile site is a rather small web project but in the enterprise world lots of applications have a lot larger code base in this chapter we ll give an example of how to build modularized web applications that can load the code on as needed basis we ll also give an example of how to organize the data exchange between different modules in a loosely coupled fashion a name ch12 save a child with jquery mobile a this chapter will demonstrate how to build the mobile version of save a child using jquery mobile framework a name ch13 save a child with sencha touch a this chapter will demonstrate how to build the mobile version of save a child using the sencha touch framework a name ch14 hybrid applications html native api a this chapter explains how to add the bridge html and native mobile api with the phone gap framework it ll add the gps service to the mobile version of save a child | front_end |
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BlockchainSecurityTutorial | blockchainsecuritytutorial noneage blockchain security tutorial | blockchain security pentest | blockchain |
4-bit-PC-Using-VerilogHDL | 4 bit pc using veriloghdl this project is mainly focused on the course eee 415 microprocessors and embedded systems here we have designed a 4 bit pc using veriloghdl abstract p align justify 4 bit pc is a very basic model of a microprocessor which is motivated by sap simple as possible 1 architecture explained by malvino 4 bit pc accomplishes all its instruction using 4 bit computing method in computer architecture 4 bit integers memory addresses or other data units are those that are 4 bits wide also 4 bit cpu and alu architectures are those that are based on registers address buses or data buses of that size a group of four bits is also called a nibble and has 24 16 possible values its primary purpose is to develop a basic understanding of how a microprocessor works interacts with memory and other parts of the system like input and output the instruction set is very limited and is simple p | quartus verilog-hdl | os |
MobDevAliEmre | mobdevaliemre mobile development teamy de opzet van het project is een app te bouwen waarbij gebruikers events kunnen cre ren en deelnemen hierbij is de keuze vrijgelaten om naast minimale vereisten ook persoonlijke voorkeuren toe te voegen aan het systeem na gezamenlijke brainstorming en overleg is er gekomen tot een aantal interessante use cases de gebruiker zal kunnen inloggen en registreren waarbij de gebruiker ook na het inloggen zijn gegevens kan aanpassen de login gegevens kunnen worden opgeslagen om later als suggestie te kunnen kiezen dit is een nieuwe functie bij android de gebruiker zal verder een event kunnen aanmaken waarbij het keuze bestaat tussen aantal deelnemers locatie vereiste gebruiker kan eventen verwijderen commentaar toevoegen events kunnen opgezocht worden m b v een searchbar die opzoekt via titel ook kunnen events in categorie n verdeelt worden | front_end |
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mlpack | h2 align center a href http mlpack org img src https cdn rawgit com mlpack mlpack org e7d36ed8 mlpack black svg style background color rgba 0 0 0 0 height 230 alt mlpack a fast header only machine learning library a br a fast header only machine learning library br h2 h5 align center a href https mlpack org home a a href https www mlpack org docs html documentation a a href https www mlpack org community html community a a href https www mlpack org questions html help a a href https webchat freenode net channels mlpack irc chat a h5 p align center a href https dev azure com mlpack mlpack build definitionid 1 img alt azure devops builds job src https img shields io azure devops build mlpack 84320e87 76e3 4b6e 8b6e 3adaf6b36eed 1 master job linux label linux 20build style flat square a a href https opensource org licenses bsd 3 clause img src https img shields io badge license bsd 203 clause blue svg style flat square alt license a a href http numfocus org donate to mlpack img src https img shields io badge sponsored 20by numfocus orange svg style flat square colora e1523d colorb 007d8a alt numfocus a p p align center em download a href https www mlpack org files mlpack 4 2 1 tar gz current stable version 4 2 1 a em p mlpack is an intuitive fast and flexible header only c machine learning library with bindings to other languages it is meant to be a machine learning analog to lapack and aims to implement a wide array of machine learning methods and functions as a swiss army knife for machine learning researchers mlpack s lightweight c implementation makes it ideal for deployment and it can also be used for interactive prototyping via c notebooks these can be seen in action on mlpack s homepage https www mlpack org in addition to its powerful c interface mlpack also provides command line programs python bindings julia bindings go bindings and r bindings quick links quickstart guides c doc quickstart cpp md cli doc quickstart cli md python doc quickstart python md r doc quickstart r md julia doc quickstart julia md go doc quickstart go md mlpack homepage https www mlpack org mlpack documentation https www mlpack org docs html examples repository https github com mlpack examples tutorials doc tutorials readme md development site github https www github com mlpack mlpack numfocus fiscal sponsor attribution mlpack uses an open governance model governance md and is fiscally sponsored by numfocus https numfocus org consider making a tax deductible donation https numfocus org donate to mlpack to help the project pay for developer time professional services travel workshops and a variety of other needs div align center a href https numfocus org img height 60px src https raw githubusercontent com numfocus templates master images numfocus logo png align center a div br 0 contents 1 citation details 1 citation details 2 dependencies 2 dependencies 3 installing and using mlpack in c 3 installing and using mlpack in c 4 building mlpack bindings to other languages 4 building mlpack bindings to other languages 1 command line programs 4i command line programs 2 python bindings 4ii python bindings 3 r bindings 4iii r bindings 4 julia bindings 4iv julia bindings 5 go bindings 4v go bindings 5 building mlpack s test suite 5 building mlpacks test suite 6 further resources 6 further resources 1 citation details if you use mlpack in your research or software please cite mlpack using the citation below given in bibtex format article mlpack2023 title mlpack 4 a fast header only c machine learning library author ryan r curtin and marcus edel and omar shrit and shubham agrawal and suryoday basak and james j balamuta and ryan birmingham and kartik dutt and dirk eddelbuettel and rishabh garg and shikhar jaiswal and aakash kaushik and sangyeon kim and anjishnu mukherjee and nanubala gnana sai and nippun sharma and yashwant singh parihar and roshan swain and conrad sanderson journal journal of open source software volume 8 number 82 pages 5026 year 2023 doi 10 21105 joss 05026 url https doi org 10 21105 joss 05026 citations are beneficial for the growth and improvement of mlpack 2 dependencies mlpack requires the following additional dependencies c 14 compiler armadillo https arma sourceforge net nbsp emsp 9 800 ensmallen https ensmallen org emsp 2 10 0 cereal http uscilab github io cereal ensp nbsp emsp emsp 1 1 2 if the stb library headers are available image loading support will be available if you are compiling armadillo by hand ensure that lapack and blas are enabled 3 installing and using mlpack in c see also the c quickstart doc quickstart cpp md since mlpack is a header only library installing just the headers for use in a c application is trivial from the root of the sources configure and install in the standard cmake way sh mkdir build cd build cmake sudo make install if the cmake command fails due to unavailable dependencies consider either using the ddownload dependencies on option as detailed in the following subsection 31 additional build options or ensure that mlpack s dependencies are installed e g using the system package manager for example on debian and ubuntu all relevant dependencies can be installed with sudo apt get install libarmadillo dev libensmallen dev libcereal dev libstb dev g cmake alternatively since cmake v3 14 0 the cmake command can create the build folder itself and so the above commands can be rewritten as follows sh cmake s b build sudo cmake build build target install during configuration cmake adjusts the file mlpack config hpp using the details of the local system this file can be modified by hand as necessary before or after installation 3 1 additional build options you can add a few arguments to the cmake command to control the behavior of the configuration and build process simply add these to the cmake command some options are given below ddownload dependencies on will automatically download mlpack s dependencies ensmallen armadillo and cereal installing armadillo this way is not recommended and it is better to use your system package manager when possible see below 31a linking with autodownloaded armadillo dcmake install prefix install root will set the root of the install directory to install root when make install is run ddebug on will enable debugging symbols in any compiled bindings or tests there are also options to enable building bindings to each language that mlpack supports those are detailed in the following sections once headers are installed with make install using mlpack in an application consists only of including it so your program should include mlpack c include mlpack hpp and when you link be sure to link against armadillo if your example program is my program cpp your compiler is gcc and you would like to compile with openmp support recommended and optimizations compile like this sh g o3 std c 14 o my program my program cpp larmadillo fopenmp note that if you want to serialize save or load neural networks you should add define mlpack enable ann serialization before including mlpack hpp if you don t define mlpack enable ann serialization and your code serializes a neural network a compilation error will occur see the c quickstart doc quickstart cpp md and the examples https github com mlpack examples repository for some examples of mlpack applications in c with corresponding makefile s 3 1 a linking with autodownloaded armadillo when the autodownloader is used to download armadillo ddownload dependencies on the armadillo runtime library is not built and armadillo must be used in header only mode the autodownloader also does not download dependencies of armadillo such as openblas for this reason it is recommended to instead install armadillo using your system package manager which will also install the dependencies of armadillo for example on ubuntu and debian systems armadillo can be installed with sh sudo apt get install libarmadillo dev and other package managers such as dnf and brew and pacman also have armadillo packages available if the autodownloader is used to provide armadillo mlpack programs cannot be linked with larmadillo instead you must link directly with the dependencies of armadillo for example on a system that has openblas available compilation can be done like this sh g o3 std c 14 o my program my program cpp lopenblas fopenmp see the armadillo documentation https arma sourceforge net faq html linking for more information on linking armadillo programs 3 2 reducing compile time mlpack is a template heavy library and if care is not used compilation time of a project can be increased greatly fortunately there are a number of ways to reduce compilation time include individual headers like mlpack methods decision tree hpp if you are only using one component instead of mlpack hpp this reduces the amount of work the compiler has to do only use the mlpack enable ann serialization definition if you are serializing neural networks in your code when this define is enabled compilation time will increase significantly as the compiler must generate code for every possible type of layer the large amount of extra compilation overhead is why this is not enabled by default if you are using mlpack in multiple cpp files consider using extern templates https isocpp org wiki faq cpp11 language templates so that the compiler only instantiates each template once add an explicit template instantiation for each mlpack template type you want to use in a cpp file and then use extern definitions elsewhere to let the compiler know it exists in a different file other strategies exist too such as precompiled headers compiler options ccache https ccache dev and others 4 building mlpack bindings to other languages mlpack is not just a header only library it also comes with bindings to a number of other languages this allows flexible use of mlpack s efficient implementations from languages that aren t c in general you should not need to build these by hand they should be provided by either your system package manager or your language s package manager building the bindings for a particular language is done by calling cmake with different options each example below shows how to configure an individual set of bindings but it is of course possible to combine the options and build bindings for many languages at once 4 i command line programs see also the command line quickstart doc quickstart cli md the command line programs have no extra dependencies the set of programs that will be compiled is detailed and documented on the command line program documentation page https www mlpack org doc stable cli documentation html from the root of the mlpack sources run the following commands to build and install the command line bindings sh mkdir build cd build cmake dbuild cli programs on make sudo make install you can use make j n where n is the number of cores on your machine to build in parallel e g make j4 will use 4 cores to build 4 ii python bindings see also the python quickstart doc quickstart python md mlpack s python bindings are available on pypi https pypi org project mlpack and conda forge https anaconda org conda forge mlpack and can be installed with either pip install mlpack or conda install c conda forge mlpack these sources are recommended as building the python bindings by hand can be complex with that in mind if you would still like to manually build the mlpack python bindings first make sure that the following python packages are installed setuptools wheel cython 0 24 numpy pandas 0 15 0 now from the root of the mlpack sources run the following commands to build and install the python bindings sh mkdir build cd build cmake dbuild python bindings on make sudo make install you can use make j n where n is the number of cores on your machine to build in parallel e g make j4 will use 4 cores to build you can also specify a custom python interpreter with the cmake option dpython executable path to python 4 iii r bindings see also the r quickstart doc quickstart r md mlpack s r bindings are available as the r package mlpack https cran r project org web packages mlpack index html on cran you can install the package by running install packages mlpack and this is the recommended way of getting mlpack in r if you still wish to build the r bindings by hand first make sure the following dependencies are installed r 4 0 rcpp 0 12 12 rcpparmadillo 0 9 800 0 rcppensmallen 0 2 10 0 roxygen2 testthat pkgbuild these can be installed with install packages inside of your r environment once the dependencies are available you can configure mlpack and build the r bindings by running the following commands from the root of the mlpack sources sh mkdir build cd build cmake dbuild r bindings on make sudo make install you may need to specify the location of the r program in the cmake command with the option dr executable path to r once the build is complete a tarball can be found under the build directory in src mlpack bindings r and then that can be installed into your r environment with a command like install packages mlpack 3 4 3 tar gz repos null type source 4 iv julia bindings see also the julia quickstart doc quickstart julia md mlpack s julia bindings are available by installing the mlpack jl https github com mlpack mlpack jl package using pkg add mlpack jl the process of building packaging and distributing mlpack s julia bindings is very nontrivial so it is recommended to simply use the version available in pkg but if you want to build the bindings by hand anyway you can configure and build them by running the following commands from the root of the mlpack sources sh mkdir build cd build cmake dbuild julia bindings on make if cmake cannot find your julia installation you can add djulia executable path to julia to the cmake configuration step note that the make install step is not done above since the julia binding build system was not meant to be installed directly instead to use handbuilt bindings for instance to test them one option is to start julia with julia project set as an environment variable sh cd build src mlpack bindings julia mlpack julia project pwd julia and then using mlpack should work 4 v go bindings see also the go quickstart doc quickstart go md to build mlpack s go bindings ensure that go 1 11 0 is installed and that the gonum package is available you can use go get to install mlpack for go sh go get u d mlpack org v1 mlpack cd gopath src mlpack org v1 mlpack make install the process of building the go bindings by hand is a little tedious so following the steps above is recommended however if you wish to build the go bindings by hand anyway you can do this by running the following commands from the root of the mlpack sources sh mkdir build cd build cmake dbuild go bindings on make sudo make install 5 building mlpack s test suite mlpack contains an extensive test suite that exercises every part of the codebase it is easy to build and run the tests with cmake and ctest as below sh mkdir build cd build cmake dbuild tests on make ctest if you want to test the bindings too you will have to adapt the cmake configuration command to turn on the language bindings that you want to test see the previous sections for details 6 further resources more documentation is available for both users and developers user documentation file formats and loading data in mlpack doc user formats md matrices in mlpack doc user matrices md cross validation doc user cv md hyper parameter tuning doc user hpt md building mlpack from source on windows doc user build windows md sample c ml app for windows doc user sample ml app md examples repository https github com mlpack examples tutorials alternating matrix factorization amf doc tutorials amf md artificial neural networks ann doc tutorials ann md approximate k furthest neighbor search approx kfn doc tutorials approx kfn md collaborative filtering cf doc tutorials cf md datasetmapper doc tutorials datasetmapper md density estimation trees det doc tutorials det md euclidean minimum spanning trees emst doc tutorials emst md fast max kernel search fastmks doc tutorials fastmks md image utilities doc tutorials image md k means clustering doc tutorials kmeans md linear regression doc tutorials linear regression md neighbor search k nearest neighbors doc tutorials neighbor search md range search doc tutorials range search md reinforcement learning doc tutorials reinforcement learning md developer documentation mlpack versions in code doc developer version md writing an mlpack binding doc developer iodoc md mlpack timers doc developer timer md mlpack automatic bindings to other languages doc developer bindings md the elemtype policy in mlpack doc developer elemtype md the kerneltype policy in mlpack doc developer kernels md the metrictype policy in mlpack doc developer metrics md the treetype policy in mlpack doc developer trees md to learn about the development goals of mlpack in the short and medium term future see the vision document https www mlpack org papers vision pdf if you have problems find a bug or need help you can try visiting the mlpack help https www mlpack org questions html page or mlpack on github https www github com mlpack mlpack alternately mlpack help can be found on matrix at mlpack see also the community https www mlpack org community html page | machine-learning-library c-plus-plus deep-learning nearest-neighbor-search regression machine-learning hacktoberfest scientific-computing | ai |
BloomFiltersInMapReduce | bloomfiltersinmapreduce design and development of a cloud computing application making use of hadoop framework able to build a set of bloom filters and use it to test the fpr all the documentation is present in projectdoc ptf | cloud |
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StockPricePrediction | stock market price predictor using supervised learning aim to examine a number of different forecasting techniques to predict future stock returns based on past returns and numerical news indicators to construct a portfolio of multiple stocks in order to diversify the risk we do this by applying supervised learning methods for stock price forecasting by interpreting the seemingly chaotic market data setup instructions workon myvirtualenv optional pip install r requirements txt python scripts algorithms regression models py input dir output dir download the dataset needed for running the code from here https drive google com open id 0b2lcmt16l r3sutrtjblrhk3d1e project concept video project concept video screenshots presentation gif https www youtube com watch v z6u0okgrhy0 methodology 1 preprocessing and cleaning 2 feature extraction 3 twitter sentiment analysis and score 4 data normalization 5 analysis of various supervised learning methods 6 conclusions research paper machine learning in stock price trend forecasting yuqing dai yuning zhang http cs229 stanford edu proj2013 daizhang machinelearninginstockpricetrendforecasting pdf stock market forecasting using machine learning algorithms shunrong shen haomiao jiang department of electrical engineering stanford university http cs229 stanford edu proj2012 shenjiangzhang stockmarketforecastingusingmachinelearningalgorithms pdf how can machine learning help stock investment xin guo http cs229 stanford edu proj2015 009 report pdf datasets used 1 http www nasdaq com 2 https in finance yahoo com 3 https www google com finance useful links slides http www slideshare net sharvilkatariya stock price trend forecasting using supervised learning video https www youtube com watch v z6u0okgrhy0 report https github com scorpionhiccup stockpriceprediction blob master report pdf references recurrent neural networks lstm models http colah github io posts 2015 08 understanding lstms arima models http people duke edu rnau 411arim htm https github com dv lebedev google quote downloader book value http www investopedia com terms b bookvalue asp http www investopedia com articles basics 09 simplified measuring interpreting volatility asp volatility http www stock options made easy com volatility index html https github com dzitkowskik stockpredictionrnn scikit learn http scikit learn org stable theano http deeplearning net software theano | machine-learning supervised-learning stock-price-forecasting forecasting rnn lstm lstm-neural-networks video concept-video analysis | ai |
hydro-docs | project hydro bringing blockchain to fintech hydro https www hydrogenplatform com images logo hydro png the official github page for important hydro documents including whitepapers as the hydro ecosystem continues to evolve the global development community will be releasing whitepapers for all major phases raindrop snowflake ice tide and mist a final version of the raindrop whitepaper raindrop is complete drafts of the snowflake whitepaper snowflake and ice whitepaper ice are posted and available for review and comment by the global hydro community in the future you can look forward to the tide and mist whitepapers the global hydro community may even have a few more products that are yet to be announced api reference for the hydro api can be found here https www hydrogenplatform com docs hydro v1 | blockchain |
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Embedded-Design-Exercises | embedded design exercises this is a collection of my cpe301 labs embedded systems design | os |
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rtos-drv-intel-s1000 | discontinuation of project this project will no longer be maintained by intel intel has ceased development and contributions including but not limited to maintenance bug fixes new releases or updates to this project intel no longer accepts patches to this project if you have an ongoing need to use this project are interested in independently developing it or would like to maintain patches for the open source software community please create your own fork of this project sue creek rtos driver mcu rtos driver for sue creek speech and audio processor this driver implements the apis to applications and the underlying control mechanisms for managing audio capture playback wakeword notification etc this driver has been tested on both freertos and linux it is possible to port it to other rt operating systems contents package contents package contents protocol integration guide sue creek protocol library integration guide sampleapp scenario sampleapp scenario rtos driver api reference sue creek rtos driver api driver api driver api flow diagrams flow diagrams package contents driver audio driver for intel s1000 sue creek contains test application for testing the various audio features supported by the driver and illustrating the use of apis exposed by the driver to the application spi proto core library implementing ipc protocol over spi interface its primary role is to encapsulate host to dsp ipc communication it is intended to be used with an mcu with an spi master interface running an rtos or as a linux user space shared object with dependencies on c std library thread deque sue creek protocol library integration guide 1 define types and create empty functions required by pal os specific h and peripherals os specific h create subdirectory specific for your platform see linux or freertos examples create new implementation of pal and peripherials according to api defined for freertos and linux purpose of this step is to create complete set of required files source code content will be completed in following steps as a result source code won t be functional but it should compile 2 implement platform specific version of logging functions loge logw logi logd see logging macros prototype in linux pal h 3 define pin numbers in peripherals h c define spi miso 0 define spi mosi 0 define spi clk 0 define spi cs hw 0 define gpio irq 0 define gpio rst 0 define gpio wake 0 4 implement c int peripherals init spi device t spi dev spi device settings t settings group event t event in peripherals c configure gpios level and edge for irq rst and wake pins pin numbers available in settings parameter configure isr for irq pin see example in freertos peripherals c gpio isr handler configure spi device 5 create queue and eventgroup see pal h as queue consists only of two elements and does not need to support multithreading it may be just a simple structure as below queue handle t is used in spi porotocol t structure for ipcs and workitems c struct queue void ptr1 void ptr2 create eventgroup refer to freertos or linux implementation for single threaded mode two bits are required irq event and isr forward isr forward bit is set in event group t from spi protocol c enter idle exit idle isr forward means that dsp went idle detection of rising edge while isr forward is set means that fw has notification pending and application should take action irq event is set from isr and read explicitly by eventgroupwaitbits call 6 at this stage it should be possible to successfully start application and wake fw with key phrase as a first approach eventgroup or isr may be replaced with a simple delay see spi protocol c reset platfrom wait for irq can be replaced by task delay if sampleapp c isrsem is never set make sure that isr is correctly configured for gpio irq pin sampleapp scenario 1 loads audio fw using spi s interface or boots from spi m flash dsp driver init 2 loads fw configuration file through spi s interface or selects configuration from suecreek s flash according to specified dialect index dsp driver configure 3 initializes driver s audio gateway dsp driver start 4 starts suecreek s reference i2s stream required for acoustic echo cancellation dsp driver start stream 5 notifies suecreek about start of playback it needs to be called just before actual playback begins dsp driver external playback start 6 sets capture pipeline state requested state is either wov or stream as a result capture endpoint spi source is prepared for data capture dsp driver set state dsp capture state wov 7 in a loop 1 reads audio data dsp driver read data 2 stores audio data in a file 8 sets capture pipeline state to idle and stops data capture dsp driver set state dsp capture state idle 9 stops suecreek s reference i2s stream dsp driver stop stream 10 notifies suecreek about stop of playback it needs to be called just after actual playback stops dsp driver external playback stop sue creek rtos driver api driver api method params description dsp driver init irq handler t uint32 t initializes the driver performs dsp reset dsp driver deinit deinitializes the driver stops topology unregisters notification dsp driver configure dsp dialect t evt cb ops t sets language dialect sets wov ipc error xrun buffer completion callbacks dsp driver start sends topology start message dsp driver mfg start registers to mfg test end notification dsp driver read data uint void uint uint32 t non blocking sets buffer chunk to be filled with captured audio data dsp driver write data uint void uint uint32 t non blocking sets audio data buffer chunk to be used for playback dsp driver schedule execute scheduled non blocking actions read audio data write audio data dsp driver set state dsp capture state t sets capture state dsp driver start stream uint gtw audio format t callback info t start fw stream playback external reference dsp driver stop stream uint32 t stops fw stream dsp driver load img load function t read img chunk cb void uint32 t void initialize loading binary fw dfu config load config save dsp driver voice stream start starts voice stream dsp driver voice stream stop stops voice stream dsp driver external playback start starts external playback dsp driver external playback stop stops external playback dsp driver mfg run test uint32 t uint32 t runs step x in test y dsp driver mfg test result uint32 t uint32 t buf desc t reads test step result into bd dsp driver get fw version buf desc t reads fw version dsp driver mic mute bool toggles mic mute | os |
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polyglot | polyglot large language models of well balanced competence in multi languages 1 introduction why another multilingual model various multilingual models such as mbert https huggingface co bert base multilingual cased bloom https huggingface co bigscience bloom and xglm https arxiv org abs 2112 10668 have been released therefore someone might ask why do we need to make multilingual models again before answering the question we would like to ask why do people around the world make monolingual models in their language even though there are already many multilingual models we would like to point out there is a dissatisfaction with the non english language performance of the current multilingual models as one of the most significant reason so we want to make multilingual models with higher non english language performance this is the reason we need to make multilingual models again and why we name them polyglot https www spanish academy blog what is the difference between a polyglot and a multilingual person 2 projects 1 polyglot ko when we started our research we have already had 1 2tb of korean data collected by tunib https tunib ai before we collected a large amount of multilingual data we decided to try korean modeling with the dataset we already had this korean model can be used for performance comparison with the multilingual models and this model itself would help many korean companies and researchers size training status model card model checkpoints 1 3b finished https wandb ai eleutherai polyglot ko groups polyglot ko 1 3b available https huggingface co eleutherai polyglot ko 1 3b available https huggingface co eleutherai polyglot ko 1 3b tree main 3 8b finished https wandb ai eleutherai polyglot ko groups polyglot ko 3 8b available https huggingface co eleutherai polyglot ko 3 8b available https huggingface co eleutherai polyglot ko 3 8b tree main 5 8b finished https wandb ai eleutherai polyglot ko groups polyglot ko 5 8b available https huggingface co eleutherai polyglot ko 5 8b available https huggingface co eleutherai polyglot ko 5 8b tree main 12 8b finished https wandb ai eleutherai oslo polyglot ko 12 8b available https huggingface co eleutherai polyglot ko 12 8b available https huggingface co eleutherai polyglot ko 12 8b tree main technical report https arxiv org abs 2306 02254 contributors hyunwoong ko https github com hyunwoongko kichang yang https github com jason9693 minho ryu https github com bzantium taekyoon choi https github com taekyoon seungmu yang https github com ronalmoo jiwung hyun https github com kabbi159 sungho park https github com naem1023 we are collaborating with koalpaca team which is creating a series of korean instruct fine tuned models as a result we were able to release the koalapca polyglot models please refer to here https github com beomi koalpaca to see more details 2 japanese stablelm we co worked with stabilityai japan to create open source japanese language models we ve mainly contributed to dataset collection part for this project size training status model card model checkpoints 7b base finished available https huggingface co stabilityai japanese stablelm base alpha 7b available https huggingface co stabilityai japanese stablelm base alpha 7b tree main 7b instruct finished available https huggingface co stabilityai japanese stablelm instruct alpha 7b available https huggingface co stabilityai japanese stablelm instruct alpha 7b tree main blog post https stability ai blog stability ai new jplm japanese language model stablelm contributors hyunwoong ko https github com hyunwoongko fujiki nakamura https github com fujiki 1emon yunho mo https github com momozzing minji jung https github com work82mj sukyung jang https github com skjang54 keunseok im https github com mineru98 3 limitations and biases polyglot has been trained to optimize next token prediction language models such as this are often used for a wide variety of tasks and it is important to be aware of possible unexpected outcomes for instance polyglot will not always return the most factual or accurate response but the most statistically likely one in addition polyglot may produce socially unacceptable or offensive content we recommend having a human curator or other filtering mechanism to censor sensitive content 4 citation and related information bibtex entry if you find our work useful please consider citing bibtex misc ko2023technical title a technical report for polyglot ko open source large scale korean language models author hyunwoong ko and kichang yang and minho ryu and taekyoon choi and seungmu yang and jiwung hyun and sungho park year 2023 eprint 2306 02254 archiveprefix arxiv primaryclass cs cl bibtex misc japanesestablelmbasealpha7b url https huggingface co stabilityai japanese stablelm base alpha 7b https huggingface co stabilityai japanese stablelm base alpha 7b title japanese stablelm base alpha 7b author lee meng and nakamura fujiki and shing makoto and mccann paul and akiba takuya and orii naoki bibtex misc japanesestablelminstructalpha7b url https huggingface co stabilityai japanese stablelm instruct alpha 7b https huggingface co stabilityai japanese stablelm instruct alpha 7b title japanese stablelm instruct alpha 7b author lee meng and nakamura fujiki and shing makoto and mccann paul and akiba takuya and orii naoki licensing all our models are licensed under the terms of the apache license 2 0 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 however the model has the potential to generate unpredictable text as mentioned therefore we are not responsible for any damages resulting from the use of the model acknowledgement this project was made possible thanks to the computing resources from stability ai https stability ai thanks to tunib https tunib ai for providing a large scale korean dataset | ai |
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udacity_de_project_03_cloud_data_warehouses | project data warehouse third project of the data engineering nanodegree from udacity like in the other project this also considers an imaginary startup called sparkify which wants to analyze the data of its music streaming app to understand what songs their users are listening to unfortunately the startup has this data only within json files and wants a better way to query it to do so in this project a postgres database is created this database is called sparkifydb and consists of following tables staging tables staging events events songplay logs staging songs song data final tables songplays fact table log of song plays users dimension table users in the app songs dimension table songs the app as in its database artists dimension table data about the song artists in the database time dimension table timestamps of the start time for every record in the songplays table broken down in specific units the final tables are in the star schema making it easy to aggregate data on the songplays fact table and at the same time easy to join with dimension tables for filtering and specify aggregation parameters the data is originated from data within two s3 buckets song play logs s3 udacity dend log data with the json format specified within s3 udacity dend log json path json song data s3 udacity dend song data how to run the code 1 run python crate cluster py to create the necessary aws resources including the cluster 2 run python create tables py to drop the tables in case they exist and create them 3 run python etl py to load the data into the tables 4 to delete the cluster including all the tables run python delete cluster py files the project consists of following files sql queries py contains all the sql queries necessary for the project this file is not to be run by itself but is imported in other files create tables py contains the python code to drop create the tables this file should be run before running the etl py file etl py inserts the data contained in the json files into the staging tables using the copy statement and into the final tables in the star schema through a select statement create cluster py create a redshift cluster and other aws resources necessaries for that iac delete cluster py delete redshift cluster and other aws resources iac example dwh cfg must be saved as dwh cfg and then be filled with credentials and options to run the create cluster py and delete cluster py scripts dependencies all required dependencies are saved in the pyproject toml poetry lock files to install them create a virtual environment with poetry link https python poetry org | cloud |
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datumbox-framework | datumbox machine learning framework build status https api travis ci org datumbox datumbox framework svg https travis ci org datumbox datumbox framework windows build status https ci appveyor com api projects status 2aqkak8kmt8ooj4i svg true https ci appveyor com project datumbox datumbox framework maven central https maven badges herokuapp com maven central com datumbox datumbox framework lib badge svg https maven badges herokuapp com maven central com datumbox datumbox framework lib license https img shields io license apache brightgreen svg license datumbox http www datumbox com img logo png http www datumbox com the datumbox machine learning framework is an open source framework written in java which allows the rapid development machine learning and statistical applications the main focus of the framework is to include a large number of machine learning algorithms statistical methods and to be able to handle large sized datasets copyright license copyright c 2013 2020 vasilis vryniotis http blog datumbox com author bbriniotis the code is licensed under the apache license version 2 0 license installation versioning datumbox framework is available on maven central repository http search maven org search 7cga 7c1 7cg 3a 22com datumbox 22 20and 20a 3a 22datumbox framework lib 22 the latest stable version of the framework is 0 8 2 build 20200805 to use it add the following snippet in your pom xml dependency groupid com datumbox groupid artifactid datumbox framework lib artifactid version 0 8 2 version dependency the latest snapshot version of the framework is 0 8 3 snapshot build 20201014 to test it update your pom xml as follows repository id sonatype snapshots id name sonatype snapshots repo name url https oss sonatype org content repositories snapshots url repository dependency groupid com datumbox groupid artifactid datumbox framework lib artifactid version 0 8 3 snapshot version dependency the develop branch https github com datumbox datumbox framework tree develop is the development branch default github branch while the master branch https github com datumbox datumbox framework tree master contains the latest stable version of the framework all the stable releases are marked with tags https github com datumbox datumbox framework releases the releases of the framework follow the semantic versioning http semver org approach for detailed information about the various releases check out the changelog changelog md documentation and code examples all the public methods and classes of the framework are documented with javadoc comments moreover for every model there is a junit test which clearly shows how to train and use the models finally for more examples on how to use the framework checkout the code examples https github com datumbox datumbox framework examples or the official blog http blog datumbox com pre trained models datumbox comes with a large number of pre trained models which allow you to perform sentiment analysis document twitter subjectivity analysis topic classification spam detection adult content detection language detection commercial detection educational detection and gender detection to get the binary models check out the datumbox zoo https github com datumbox datumbox framework zoo which methods algorithms are supported the framework currently supports performing multiple parametric non parametric statistical tests calculating descriptive statistics on censored uncensored data performing anova cluster analysis dimension reduction regression analysis timeseries analysis sampling and calculation of probabilities from the most common discrete and continues distributions in addition it provides several implemented algorithms including max entropy naive bayes svm bootstrap aggregating adaboost kmeans hierarchical clustering dirichlet process mixture models softmax regression ordinal regression linear regression stepwise regression pca and several other techniques that can be used for feature selection ensemble learning linear programming solving and recommender systems bug reports despite the fact that parts of the framework have been used in commercial applications not all classes are equally used tested currently the framework is in alpha version so you should expect some changes on the public apis on future versions if you spot a bug please submit it as an issue https github com datumbox datumbox framework issues on the official github repository contributing the framework can be improved in many ways and as a result any contribution is welcome by far the most important feature missing from the framework is the ability to use it from command line or from other languages such as python other important enhancements include improving the documentation the test coverage and the examples improving the architecture of the framework and supporting more machine learning and statistical models if you make any useful changes on the code please consider contributing them by sending a pull request acknowledgements many thanks to eleftherios bampaletakis http gr linkedin com pub eleftherios bampaletakis 39 875 551 for his invaluable input on improving the architecture of the framework also many thanks to ej technologies gmbh for providing a license for their java profiler http www ej technologies com products jprofiler overview html and to jetbrains for providing a license for their java ide https www jetbrains com idea useful links code examples https github com datumbox datumbox framework examples datumbox zoo pre trained models https github com datumbox datumbox framework zoo datumbox com http www datumbox com machine learning blog http blog datumbox com | machine-learning java big-data statistics nlp data-science | ai |
iot-master | v3 0 v2 0 https github com zgwit iot master tree v2 v1 0 https github com zgwit iot master tree v1 https iot master com manual demo http demo iot master com 8080 admin 123456 go https github com zgwit iot master actions workflows go yml badge svg https github com zgwit iot master actions workflows go yml go https github com zgwit iot master actions workflows codeql analysis yml badge svg https github com zgwit iot master actions workflows codeql analysis yml codecov https codecov io gh zgwit iot master branch main graph badge svg token ak5td8kq5c https codecov io gh zgwit iot master go reference https pkg go dev badge github com zgwit iot master svg https pkg go dev github com zgwit iot master go report card https goreportcard com badge github com zgwit iot master https goreportcard com report github com zgwit iot master https labs zgwit com mqtt tcp server client udp server client modbus sl651 szy206 dl t645 iec101 102 103 104 61850 plc web golang cpu java web 3d web https iot master com web1 jpg scada https iot master com hmi editor png 15161515197 ps 1 2 dtu 3 4 5 6 7 8 jason zgwit com mailto jason zgwit com 15161515197 tel 15161515197 https iot master com tech png https iot master com jason jpg gpl v3 https github com zgwit iot master blob main license https github com orgs iot master contrib repositories influxdb modbus webrtc web 3d dlt645 2007 plc s7 ppi mpi fetchwrite plc plc hostlink fins tdengine opentsdb | mqtt modbus plc iot s7 mitsubishi omron scada hmi golang fins go hostlink xorm melsec mpi opc-ua ppi 645 | server |
MachineLearning_Physics | machine learning in physics this is to facilitate the machine learning in physics course that i am teaching at sharif university of technology for winter 21 semester for more information see the course page at http sharif edu sraeisi ml classes we have our sessions on saturday and monday 15 16 30 tehran time gmt 3 30 the course is presented on online and the link of the class is https vc sharif edu ch sraeisi reading materials mehta pankaj et al a high bias low variance introduction to machine learning for physicists physics reports 2019 https www sciencedirect com science article pii s0370157319300766 nielsen michael a neural networks and deep learning vol 25 san francisco ca usa determination press 2015 available online http neuralnetworksanddeeplearning com chollet francois deep learning with python simon and schuster 2021 deep learning with python 2018 http bioserver cpgei ct utfpr edu br disciplinas eeica papers livros 5bchollet 5d deep learning with python pdf albon chris machine learning with python cookbook practical solutions from preprocessing to deep learning o reilly media inc 2018 stevens eli luca antiga and thomas viehmann deep learning with pytorch https pytorch org assets deep learning deep learning with pytorch pdf manning publications 2020 take home exam part deadline and submission link part i https drive google com file d 13g1 yfetwdnljmm4lwqqrqi5hqswcfrn view usp sharing 25 hordad https forms gle ihnp6ya7ww12qas89 part ii https drive google com file d 13g1 yfetwdnljmm4lwqqrqi5hqswcfrn view usp sharing 3 tir https forms gle khhbhkvrvyti5lse7 model implementation assignments a2 a2 pdf april 16 https forms gle z16fvahvadq4q5nx9 assignments assigment deadline and submission link solutions a1 problem statement https docs google com document d 1achkashsypqhknrohi2ig691vpvwpyyip0p9wrd3i0e export format pdf mehr 10th https forms gle z16fvahvadq4q5nx9 a2 data https docs google com document d 1vszzv hdrftawxaq6lm0guop9iulml4i7adnj1w8ebs export format pdf mehr 24th https forms gle vnvm9vbijd4aua9w6 a3 model loss optimization https docs google com document d 1jxpkcedl eclrx1wo7i4djlny xf2fviqogriztw my export format pdf aban 8th https forms gle dsg51jzqo2r8ojzp6 a4 optimization model evaluation https docs google com document d 18zushbp cet0y2 rikn5wbcadoillj5ccw kazcyejc export format pdf azar 5th https forms gle n1phvuif5aeh7nwq6 course materials the course material is posted here if you come across a mistake or problem please let me know also the videos of some most of the lectures are posted here https www aparat com v jmxf1 playlist 340003 these videos are in farsi chapter 1 basics of machine learning topic lecture notes notebook s videos section 1 basics of machine learning introduction introduction to ml 1 mlp intro pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics intro ipynb video 1 https aparat com v 5uz8c br video 2 https aparat com v ful19 br video 3 https aparat com v wqobb data data 1 mlp basics data pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics data ipynb video 1 https aparat com v 7bsvc br video 2 https aparat com v oqrsu model model 1 mlp basics model pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics model ipynb video 1 https aparat com v p1mgi br video 2 https aparat com v k4r1v br video 3 https aparat com v bfyc0 loss functions loss functions 1 mlp basics lossfunctions pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics loss ipynb video 1 https aparat com v qox5s br video 2 https aparat com v eh7di optimization optimization 1 mlp basics optimization pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics optimization ipynb video 1 https www aparat com v 36jcv playlist 1230685 br video 2 https aparat com v xyvp9 br video 3 https aparat com v wpzrh model evaluation model evaluation 1 mlp basics modelevaluation pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics modelevaluation ipynb video 1 https aparat com v 0tklu br video 2 https aparat com v zmfrj br video 3 https aparat com v cmmrw br video 4 https aparat com v 72ybn section 2 neural networks introduction feed forward introduction 2 mlp nn intro pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 2 mlp nn feedforward ipynb video 1 https aparat com v e1znv br video 2 https aparat com v s5unx back propagation back propagation 2 mlp nn backpropagation pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 2 mlp nn backpropagation ipynb video 1 https aparat com v nxtj6 br video 2 https aparat com v wouoa nn libraries colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 2 mlp nn libraries ipynb video 1 https aparat com v efx8d br video 2 https aparat com v vkxxj examples model evaluationa tuning colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 2 mlp nn modelevaluationa tuning ipynb section 3 more on neural networks convolutional neural networks convolutional neural networks 3 mlp cnn pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 3 mlp cnn convolution ipynb implementation of cnn colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 3 mlp cnn convnet ipynb transfer learning colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 3 mlp cnn example galaxy zooii ipynb recurrent neural networks recurrent neural networks 3 mlp nn recurrentneuralnetworks pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 3 mlp nn rnn ipynb metrics metrics 1 mlp basics metrics pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics metrics ipynb model selection model selection 1 mlp basics model selection pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machinelearning physics blob master 1 mlp basics model selection ipynb clustering clustering lec1 mlp 2 clustering pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master lec1 clustering ipynb regression and classification regression and classification lec1 mlp 3 regression and classification pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master lec1 reg clf ipynb chapter 2 data topic lecture notes notebook s data the basics data chpt2 mlp chpt2 data pdf chapter 3 model selection and evaluation topic lecture notes notebook s model evaluation metrics chpt3 mlp chpt3 lec1 model evaluation pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt3 model evaluation ipynb model selection statisticl learning chpt3 mlp chpt3 lec2 model selection pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt3 model selection ipynb chapter 4 neural networks topic lecture notes notebook s introduction intro chpt4 mlp chpt4 lec1 nn feedforward pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt4 nn intro ipynb feedforward feedforward chpt4 mlp chpt4 lec1 nn feedforward pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt4 nn feedforward ipynb training back propagation back propagation chpt4 mlp chpt4 lec1 nn backpropagation pdf quizz https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt4 nn implementation ipynb libraries colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt4 nn libraries ipynb optimization of the training process optimization chpt4 mlp chpt4 lec1 nn optimization pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt4 optimizing the optimization ipynb examples model evaluationa tuning colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt4 nn modelevaluationa tuning ipynb chapter 5 convolutional neural networks topic lecture notes notebook s convolution operation intro chpt5 mlp chpt5 lec1 cnn convolution pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt5 mlp chpt5 lec1 cnn convolution ipynb simple convnet details of a convnet chpt5 mlp chpt5 lec2 cnn convnet pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt5 mlp chpt5 lec2 cnn convnet ipynb example colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt5 mlp chpt5 lec3 cnn example galaxy zooii ipynb transfer learning and augmentation colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt5 mlp chpt5 lec4 cnn transferlearning ipynb chapter 6 recurrent neural networks topic lecture notes notebook s recurrent neural networks intro chpt6 mlp chpt6 lec1 recurrentneuralnetworks pdf colab https colab research google com assets colab badge svg https colab research google com github sraeisi machine learning physics winter20 blob master chpt6 mlp chpt6 lec1 rnn ipynb project milestone due date submission link data project milestone1 data pdf mehr 30th submit here https forms gle noppi764gde13cec7 traditional ml techniques project milestone2 traditionaltechniques pdf aban 30th submit here https forms gle noppi764gde13cec7 neural networks same as ms2 but with nn azar 30th submit here https forms gle noppi764gde13cec7 traditional ml techniques project milestone2 traditionaltechniques pdf dey 30th submit here https forms gle rcqnpg3npfk1ctwv9 project presentation for the next parts of your project you are expected to submit a term paper and have an oral presentation the term papers are due three weeks from now 25st of mordad the term paper is supposed to be a quality manuscript that can potentially be posted on arxiv this means that you should follow all the professional guidelines and codes of conduct including proper citation of the relevant literature for more information feel free to take a look at the research guideline in my group at http sharif edu sraeisi files guideline pdf the aps guideline for ethics at https www aps org policy statements guidlinesethics cfm for further information please use the revtex4 2 with two columns for the latex document style you can find samples on the internet or ask me please put your term paper with all the required files figs bib on your gitlab repo in a folder please do not change the file after the deadline for the oral presentation you are expected to give a 10 min talk followed by 2 min q a in the 10 min you are expected to explain the problem that you are trying to solve the way you represented the problem and your solution and finally your results this should be at a level that your classmates can easily follow please note that your written and oral presentations are a significant part of your project marking scheme this is a tentative plan and we may change it as we move on course project 40 60 assignments 20 40 exam 0 30 class participation 5 10 requirements decent understanding of programming and python and the following libraries numpy pandas plotting and graphical presentation tools in python git and github if you not familiar let me know basic understanding of quantum mechanics and statistics basic understanding of machine learning these add up to 110 which include the bonus as well course projects this is a group project and counts towards 40 of the final grade the idea is that each group decides on a project at the beginning of the course and apply everything that we cover to their project here are some of the expectations for the course project some initial proposal clear statement of the problem and some primary assessment of why using ml could help answer this problem due feb 28th data collection generation and preparation due march 15th span style color red extended to march 20th span create a folder for this part have a description readme file for the data describe your data where it comes from different feautres and their physical significance your target value s create a notebook and implement the following in different sections clean up the data remove the missing data and convert everything to numerical values scale your data analysis of features and target histograms and feature selection try different techniques and assess how well they work on your data feature extraction try different techniques and assess how well they work on your data application of the basic ml techniques due april 15th a table of assessment will give an example later investigation of variance and bias of the techniques investigated learning and validation curves application of nn and setting the hyperparameters due april 30th oral presentation see me to set up the time it should be before june 24th written term paper it should be submitted by july 5th some notes make sure you include citations to all the resources you use you should submit your work as a group rather than separate individual submissions scripts notebooks and figures without description would not count toward your grade your codes should include enough comments and information that can be easily followed it is essential that all group members contribute make commits to their repositories this is the only way i can make sure that everyone participated in their project cheat sheets and guides see the files in the cheatsheet folder item description jupyter cheatsheets jupyter 20notebook cheatsheet pdf jupyter provides an interactive environment for programming we will be mostly using the python 3 kernel git and github cheatsheets git cheatsheet pdf git provides a strong infrastructure for version control github is web based hosting service for version control and it also provides services for collaboration python cheatsheets python cheatsheet pdf it is the programming language that we will be mostly using for this course numpy cheatsheets numpy basics cheatsheet pdf it s a python library that provides strong and efficient tools for manipulation of high dimensional arrays scipy cheatsheets scipy cheatsheet pdf it s a python library built on numpy for mathematical and scientific computing pandas basics pandas 2 cheatsheets pandas basics cheatsheet pdf br importing data cheatsheets pandas 2 cheatsheet pdf it s a python library built on numpy that provides efficient tools for handling and analysis of data matplotlib cheatsheets matplotlib cheatsheet pdf br seaborn cheatsheets seaborn cheatsheet pdf these are two of the most common python library for visualization scikit learn cheatsheets scikit learn cheatsheet pdf it s a python library that provides a nice and fairly efficient implementation of most the machine learning techniques and ideas keras cheatsheets keras cheatsheet pdf it is python library that provides a high level and easy to use interface for tensorflow and some other deep learning libraries | machine-learning physics | server |
Flatiron-Sinatra | flatiron sinatra | ruby sinatra mvc-framework activerecord capybara crud sessions passwords shotgun | front_end |
vmware-blockchain-samples | please note that vmware blockchain for ethereum has reached end of life maintainers ramkri123 https github com ramkri123 dparmar https github com dparmar saiakhil2012 https github com saiakhil2012 contributors mrharrison https github com mrharrison pengluhyd https github com pengluhyd rkischuk https github com rkischuk robem https github com robem teoparvanov https github com teoparvanov tompscanlan https github com tompscanlan sedhuait https github com sedhuait nicksneo https github com nicksneo saanvijay https github com saanvijay saiakhil2012 https github com saiakhil2012 dinkar2 https github com dinkar2 sanchitaroy https github com sanchitaroy amittullo https github com amittullo rtellamsetty https github com rtellamsetty eswarscode https github com eswarscode redblackfast https github com redblackfast tensaiyez https github com tensaiyez kevinx1vmw https github com kevinx1vmw bsenthilr https github com bsenthilr license mit https choosealicense com licenses mit | blockchain |
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employee-database-modeling-engineering-analysis | employee database data modeling engineering and analysis background the task is a research project on employees of a corporation from the 1980s and 1990s the objectives are design the tables to hold data in the csvs import the csvs into a sql database and answer questions about the data in other words 1 data modeling 2 data engineering 3 data analysis data modeling created and designed initial db schema with the help of quickdatabasediagrams com db schema employeesql erd png data engineering used the information to create a table schema for each of the six csv files given while specifying data types primary keys foreign keys and other constraints sql create table salaries emp no int not null salary int not null from date date not null to date date not null create table dept manager dept no char 4 not null emp no int not null from date date not null to date date not null create table employees emp no int not null birth date date not null first name varchar 255 not null last name varchar 255 not null gender char 1 not null hire date date not null constraint pk employees primary key emp no create table departments dept no char 4 not null dept name varchar 255 not null constraint pk departments primary key dept no create table dept emp emp no int not null dept no char 4 not null from date date not null to date date not null create table titles emp no int not null title varchar 255 not null from date date not null to date date not null alter table salaries add constraint fk salaries emp no foreign key emp no references employees emp no alter table dept manager add constraint fk dept manager dept no foreign key dept no references departments dept no alter table dept manager add constraint fk dept manager emp no foreign key emp no references employees emp no alter table dept emp add constraint fk dept emp emp no foreign key emp no references employees emp no alter table dept emp add constraint fk dept emp dept no foreign key dept no references departments dept no alter table titles add constraint fk titles emp no foreign key emp no references employees emp no imported each csv file into the corresponding sql table data analysis 1 listed the following details of each employee employee number last name first name gender and salary sql select e emp no e last name e first name e gender s salary from employees e join salaries s on e emp no s emp no 2 listed employees who were hired in 1986 sql select emp no first name last name hire date from employees where extract year from hire date 1986 3 listed 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 sql select d dept no dep dept name d emp no e last name e first name d from date d to date from dept manager d join departments dep on d dept no dep dept no join employees e on d emp no e emp no 4 listed the department of each employee with the following information employee number last name first name and department name sql select e emp no e last name e first name d dept name from employees e join dept emp dep on e emp no dep emp no join departments d on d dept no dep dept no 5 listed all employees whose first name is hercules and last names begin with b sql select emp no first name last name from employees where first name hercules and last name like b 6 listed all employees in the sales department including their employee number last name first name and department name sql select e emp no e last name e first name dep dept name from employees e join dept emp d on e emp no d emp no join departments dep on d dept no dep dept no where dept name sales 7 listed all employees in the sales and development departments including their employee number last name first name and department name sql select e emp no e last name e first name dep dept name from employees e join dept emp d on e emp no d emp no join departments dep on d dept no dep dept no where dept name sales or dept name development 8 listed the frequency count of employee last names in descending order i e how many employees share each last name sql select last name count last name name count from employees group by last name order by name count desc bonus using sqlalchemy to visualize data in python 1 imported the sql database into pandas sql from sqlalchemy import create engine engine create engine postgresql localhost 5432 sql challenge connection engine connect 2 created a histogram to visualize the most common salary ranges for employees 3 created a bar chart of average salary by title | server |
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ifc-pipeline | ifc pipeline a processing queue that uses ifcopenshell https github com ifcopenshell ifcopenshell to convert ifc input files into a graphic display using gltf 2 0 and bimsurfer2 https github com aecgeeks bimsurfer2 for visualization there is a small web application in flask that accepts file uploads https is provided by nginx everything is tied together using docker compose architecture architecture diagram of ifc pipeline img architecture png architecture diagram of ifc pipeline routes there is a front end in flask with the following routes get html front page with upload post form post upload redirects to p id get p id html progress page get pp id json progress get log id ext conversion log ext html json get v id html viewer page get m id ext artefact download ext eg svg glb tree json in the backend there is a worker process that uses ifcopenshell s ifcconvert to convert the incoming ifc models into xml for decomposition structure and property set data gltf for 3d geometry and svg for 2d floor plan geometry communication between the flask web app and the task queue is by means of the rq library and a postgres database input and output files are stored on disk in a docker volume shared between the two containers nginx is used a reverse proxy with https where certbot will automatically create and renew the certificates in the front end the bimsurfer2 viewer module takes the various converted artefacts for display local development clone the ifc pipeline repo recursively with submodules linux this will setup an environment for easy development without docker which uses sqlite instead of postgresql and python threads instead of the redis backed rq processing queue sh cd application python3 m pip install r requirements txt download the ifcconvert binary mkdir nix cd nix wget https s3 amazonaws com ifcopenshell builds ifcconvert v0 7 0 2985bba linux64 zip unzip ifcconvert v0 7 0 2985bba linux64 zip chmod x ifcconvert cd install ifcopenshell python wget o tmp ifcopenshell python zip https s3 amazonaws com ifcopenshell builds ifcopenshell python python3 c import sys print join map str sys version info 0 2 0 2 v0 7 0 2985bba linux64 zip mkdir p python3 c import site print site getusersitepackages unzip d python3 c import site print site getusersitepackages tmp ifcopenshell python zip run flask with dev environment variables run debug sh windows install python dependencies with python m pip r application requirements txt download https s3 amazonaws com ifcopenshell builds ifcconvert v0 7 0 2985bba win64 zip extract and unzip and place ifcconvert exe in a newly created directory application win ifcconvert exe lookup you python version with python c import sys print sys version info take the major and minor number and replace the xy in the url below with those numbers for for python 3 10 x use 31 download https s3 amazonaws com ifcopenshell builds ifcopenshell python xy v0 7 0 2985bba win64 zip take note of your python site packages directory with python c import site print site user site extract and unzip and place into the site packages folder of your python interpreter the result should be a directory structure with site packages ifcopenshell init py use run debug bat to start the application production deployment install docker and docker compose using the relevant guides for your operating system and then proceed with the two following steps do first time registration with certbot further renewals will happen automatically init sh my domain name com start the service using docker compose docker compose up d the service creates a fair amount of data for incoming files users are advised to setup a large disk for the storage of models and implement their own vacuuming strategy to remove stale files for example to remove old files which can be ran periodically using cron sh find ifc pipeline models mtime 30 delete by default the nginx container listens on 80 and 443 edit docker compose yml to change maintenance commands get queue info docker exec it docker ps q filter name worker rq info open a remote python shell and print task information docker exec it docker ps q filter name worker python c import json database datetime s database session print json dumps m serialize for m in s query database model filter database model date datetime timedelta days 2 datetime datetime now order by database model date all default str infrastructure model infrastructure model infragenie infrastructure model png | front_end |
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AWS_Solutions_Architect_Python | aws solutions architect python taking the aws solutions architect certification path is a great way to test your knowledge and skills in cloud computing cloud engineering the one thing we don t see a lot of in the certification path is utilizing the api to automate your tasks this project is to solve just that as we go through the aws solutions architect material each of the sections have a lab each lab that is done manually i will automate with python or as close as i can get please note this is not on the exam this is simply a way to show you what is going on from a code perspective | cloud |
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Mashiane | h1 align center hi i m anele mashy mbanga h1 h3 align center a passionate software engineer from south africa east london h3 p align left img src https komarev com ghpvc username mashiane label profile 20views color 0e75b6 style flat alt mashiane p p align left a href https github com ryo ma github profile trophy img src https github profile trophy vercel app username mashiane alt mashiane a p p align left a href https twitter com mashymbanga target blank img src https img shields io twitter follow mashymbanga logo twitter style for the badge alt mashymbanga a p i m currently working on bananovuetifyad3 https github com mashiane bananovuetifyad3 i m currently learning vue3 rest api crypto all of my projects are available at https github com mashiane https github com mashiane i regularly write articles on https www b4x com android forum threads mashy teaches webapp website development with bananovuetifyad3 the new series 132305 content https www b4x com android forum threads mashy teaches webapp website development with bananovuetifyad3 the new series 132305 content ask me about b4x vuetify banano how to reach me mbanga anele gmail com fun fact i think i am awesome h3 align left connect with me h3 p align left a href https twitter com mashymbanga target blank img align center src https raw githubusercontent com rahuldkjain github profile readme generator master src images icons social twitter svg alt mashymbanga height 30 width 40 a a href https linkedin com in anele mashy mbanga 4b639376 target blank img align center src https raw githubusercontent com rahuldkjain github profile readme generator master src images icons social linked in alt svg alt anele mashy mbanga 4b639376 height 30 width 40 a a href https fb com mashiyane mbanga target blank img align center src https raw githubusercontent com rahuldkjain github profile readme generator master src images icons social facebook svg alt mashiyane mbanga height 30 width 40 a a href https medium com mbanga 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align left src https cdn buymeacoffee com buttons v2 default yellow png height 50 width 210 alt mashy a p br br p img align left src https github readme stats vercel app api top langs username mashiane show icons true locale en layout compact alt mashiane p p nbsp img align center src https github readme stats vercel app api username mashiane show icons true locale en alt mashiane p p img align center src https github readme streak stats herokuapp com user mashiane alt mashiane p | os |
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blockchain | blockchain just a blockchain nothing in particular 1 how to use it step1 go build server http p2p tcp blockchain server 10024 p2p 12345 1 blockchain server 10025 p2p 12346 2 step2 peer 2 xxx x x xx ip curl h content type application json x post d peer addr xxx x x xx 12346 http 127 0 0 1 10024 blockchain join step3 1 curl h content type application json x post d chain true peer true http 127 0 0 1 10024 blockchain show json json chain chain pv hash 0 timestamp 1521084679901628400 data this is genesis block copyright belong to blockchain cn index 0 nonce 520 hash 0068aa0c6393b0d617fb7f297eeaa1bf857dae2371fe7be55321f71363bb7a5b step4 1 curl h content type application json x post d name luda data first blockchain http 127 0 0 1 10024 blockchain create step5 1 curl h content type application json x post d chain true peer true http 127 0 0 1 10024 blockchain show 2 curl h content type application json x post d chain true peer true http 127 0 0 1 10025 blockchain show json json p2p chain chain pv hash 0 timestamp 1521084679901628400 data this is genesis block copyright belong to blockchain cn index 0 nonce 520 hash 0068aa0c6393b0d617fb7f297eeaa1bf857dae2371fe7be55321f71363bb7a5b pv hash 0068aa0c6393b0d617fb7f297eeaa1bf857dae2371fe7be55321f71363bb7a5b timestamp 1521084685874480600 data account migfma0gcsqgsib3dqebaquaa4gnadcbiqkbgqdwzesbjdsfzkypmtfqkr266wnin3a9 gz6kicul6vxwkhiscdaamz3jorvv5l01ld8bdki80wi75sriniuty axhwa6uywlsfg6k9i0drqimde7ny4ie3wngbaoz2h0zshqemzgkoryj0wl24eq02bejtm vpl0o1pf73qoxwsvwidaqab cipher pel vggy2tcem66lmjbq2 hxslr jyj3pmft8c7xgdtedqaar3jiqvv3lljfvi4hde4m lgglbzrv42odejnhhikyp6gaexf c7tr2jwbg9qm0mljjv6rt6a2nfyfmxbsoxgd5cygdzj2l6v3iwppk34sso12dcblg sgwye5z0 transaction block 1 index 1 nonce 2207 hash 00fb9507a21e2bdf64a5e773b1cf5e43d0c8caafe2e2ab240ccd0e5a6ea23ff1 2 what s blockchain i will only give you a one minute introduction to my block system if you want a further reading read the following page and try it by a demo their author really finished an outstanding job blockchain guide https github com blockchain cn blockchain guide blockchain demo https blockchaindemo io 2 1 what s block a block contains these data members a block is legal when meet all the following conditions hash sha256 pvhash timestamp data index nonce hash value meets the right difficulty go block struct type block struct pvhash string json pv hash timestamp int64 json timestamp data string json data index int64 json index nonce int64 json nonce hash string json hash image https github com blockchain cn blockchain raw master readme image 0 jpg 2 2 what s chain a blockchain just contains a lot of blocks go thechain blockchain struct type thechain struct chain block json chain chain means we organised these block like a list pvhash data equals to the previous block s hash data image https github com blockchain cn blockchain raw master readme image 1 jpg image https github com blockchain cn blockchain raw master readme image 2 jpg 2 3 how does your data transfer to the whole network in transport layer blockchain system use the p2p network to spread your latest block to your peers and after passing your peers validity test peer will append it to their chain s tail and spread it to their peers the complete transfer protocal image https github com blockchain cn blockchain raw master readme image 3 jpg how does peers do when they received a legal block and append to their chain s tail image https github com blockchain cn blockchain raw master readme image 4 jpg how does peers do when they received a legal block and it s index is longer than their chain image https github com blockchain cn blockchain raw master readme image 5 jpg how does peers do when they received a illegal block or it s index is shorter than their chain image https github com blockchain cn blockchain raw master readme image 6 jpg 2 4 what s bit coin it s a protocol about the data form inside a block and using rsa algorithm to guarantee your account s security 2 5 how to crack or destroy it in order to crack someone s account it s a same problem to creak rsa in order to crack a block you need to find an algorithm to generate a certain sha256 result without brute force attacks in order to crack a blockchain as far as i knew you need a longer blockchain you publish the longer chain and naturally all the network will trust you until there is a logger one appears 3 general design 3 1 organization main go server http http server to support remote operation create create a block and spread it to all the peers join join a peer command line todo standard inputs to support local operation handlers http http server to support remote operation create create a block and spread it to all the peers join join a peer models block block object blockchain blockchain object translaction transaction object user user object protocal protocal blockchain spread protocal singleton maintain the singleton common errno defined the error numbers const defined const variables idl create defined the data struct of input and output join defined the data struct of input and output | golang blockchain | blockchain |
hellscape | hellscape gimple obfuscator for c c go all supported gcc targets and front ends that use gimple inspired by the seminal paper by pascal junod and co obfuscator llvm software protection for the masses https github com obfuscator llvm obfuscator table of contents installation installation show me how to use it dammit show me how to use it dammit substitution instruction substitution bogus control flow bogus control flow flattening flattening maximum protections all at once adding a custom pass adding a custom pass license license original substitution bogus control flow flattening img src https i imgur com nsoomo3 png width 150 img src https i imgur com eb4jtyl png width 150 img src https imgur com b5m6jcv png width 150 img src https i imgur com wokn2pd png width 300 installation currently building on linux is supported you may find some luck on macos prs are welcomed you need cmake gcc with plugins enabled and optionally ninja gcc 9 3 0 is required gcc 10 1 0 is tested and working mkdir build cd build cmake cmake build then place hellscape so in a known directory like bin hellscape so and pass the correct path to gcc show me how to use it dammit throughout this walk through we ll use the following function c uint32 t target uint32 t n uint32 t mod n 4 uint32 t result 0 if mod 0 result n 0xbaaad0bf 2 n else if mod 1 result n 0xbaaad0bf 3 n else if mod 2 result n 0xbaaad0bf 4 n else result n 0xbaaad0bf 5 n return result adapted from here https blog quarkslab com deobfuscation recovering an ollvm protected program html the cfg produced by this function including gimple ir is as follows p align center img src https i imgur com nsoomo3 png height 450 p the compiler plugin is easy to use let s enable each pass one by one and look at the cfg then at the end run all 3 passes together instruction substitution for the first magic trick instruction substitution the command below sets the rng seed to 0xdeadbeef as to ensure binaries are reproducable outside of testing you probably want to omit that flag to produce diverse binaries enables the subsitution pass note you can enable looping i e running the pass over itself multiple times with fplugin arg hellscape subloop x gcc fpic fplugin path to hellscape so fplugin arg hellscape seed deadbeef fplugin arg hellscape sub target c let s view the produced cfg with the viz class p align center img src https i imgur com eb4jtyl png height 450 p bogus control flow now for a smokescreen bogus control flow the command below sets the rng seed see above enables the bogus control flow pass which wraps every basic block in an opaque condition that always evaluates to true gcc fpic fplugin path to hellscape so fplugin arg hellscape seed deadbeef fplugin arg hellscape bcf target c again viewing the cfg p align center img src https imgur com b5m6jcv png height 450 p flattening the last trick for now is flattening the command below sets the rng seed see above enables the flattening pass gcc fpic fplugin path to hellscape so fplugin arg hellscape seed deadbeef fplugin arg hellscape fla target c then viewing the cfg p align center img src https i imgur com wokn2pd png p all at once simply rolling all the above commands together we get the following cfg view in a browser gcc fpic fplugin path to hellscape so fplugin arg hellscape seed deadbeef fplugin arg hellscape fla fplugin arg hellscape bcf fplugin arg hellscape sub target c p align center img src https i imgur com kastbeo png p and of course in ida it is even worse due to switch lowering p align center img src https i imgur com tm1awwr png height 500 p adding a custom pass if you ever get stuck reference one of the existing passes they re well documented that being said the general idea is as follows 1 create a new pass class e g examplepass under the file ex cpp and ex h 2 copy the contents of sub h and re name the pass data name of the pass as well as the constructor 3 create a function execute in the corresponding c file and complete your pass 4 register it under the passmanager by adding a new option register pass info and register callback as necessary 5 submit the pass for review note that for as pass to be accepted upstream it must compile for a gcc build that has enable checking yes rtl tree added you will need to re build gcc for your target architecture with enable checking additionally if you experience crashes when developing your plug in you can debug them by passing wrapper gdb args to gcc run gcc in gdb effectively license hellscape is free software you can redistribute it and or modify it under the terms of the gnu general public license as published by the free software foundation either version 3 of the license or at your option any later version hellscape is distributed in the hope that it will be useful but without any warranty without even the implied warranty of merchantability or fitness for a particular purpose see the gnu general public license for more details to be clear this software is gplv3 because it uses gcc headers which are licensed as gplv3 i could have went with a license that is compatible with the gplv3 but that would still be inconsequential as to the requirements of distributing this software this also means that due to the nature of the gcc plugin system it is close to impossible to build proprietary gcc plugins please keep this in mind when you re distribute this software as always speak with your lawyer if you have any questions this is not legal advice | gcc obfuscator compilers | front_end |
people-map | peoplemap a visualization tool that visually maps out researchers based on their research interests and publications based on embeddings generated by natural language processing nlp techniques discovering research expertise at institutions can be a difficult task manually curated university directories easily become out of date and often lack the information necessary to understand a researcher s interests and past work making it harder to explore the diversity of research at an institution and pinpoint potential collaborators peoplemap solves these problems to generate a peoplemap you only need to provide the researchers google scholar profile urls live demos https poloclub github io people map ideas https poloclub github io people map ml video https www youtube com watch v kfkoor4h1pe documentation https poloclub gitbook io people map brought to you by jon saad falcon https www linkedin com in jonsaadfalcon omar shaikh https www linkedin com in oshaikh13 jay wang https zijie wang austin wright https austinpwright com sasha richardson https www linkedin com in sasha richardson and polo chau https poloclub github io polochau mapping researchers with peoplemap https arxiv org abs 2009 00091 jon saad falcon omar shaikh jay wang austin wright sasha richardson and polo chau 2020 ieee visualization vis 20 peoplemap visualization tool for mapping out researchers using natural language processing https arxiv org abs 2006 06105 jon saad falcon omar shaikh jay wang austin wright sasha richardson and polo chau arxiv preprint br a href https poloclub github io people map ideas target blank img src peoplemap png style max width 100 a live demo click the following links to access two live demos https poloclub github io people map ideas https poloclub github io people map ml we have tested peoplemap on google chrome firefox safari it should run on all modern web browsers development for steps on how to set up and deploy peoplemap please see peoplemap s gitbook documentation at https poloclub gitbook io people map credit peoplemap was created by jon saad falcon https www linkedin com in jonsaadfalcon omar shaikh https www linkedin com in oshaikh13 jay wang https zijie wang austin wright https austinpwright com sasha richardson https www linkedin com in sasha richardson and polo chau https poloclub github io polochau from georgia tech we thank everyone in the polo club of data science http poloclub gatech edu for assisting us in the development of the project license the software is available under the mit license https github com poloclub people map blob master license citations misc saadfalcon2020mapping title mapping researchers with peoplemap author jon saad falcon and omar shaikh and zijie j wang and austin p wright and sasha richardson and duen horng chau year 2020 eprint 2009 00091 archiveprefix arxiv primaryclass cs dl misc saadfalcon2020peoplemap title peoplemap visualization tool for mapping out researchers using natural language processing author jon saad falcon and omar shaikh and zijie j wang and austin p wright and sasha richardson and duen horng chau year 2020 eprint 2006 06105 archiveprefix arxiv primaryclass cs dl contact if you have any questions feel free to open an issue https github com poloclub people map issues or contact jon saad falcon https www linkedin com in jonsaadfalcon | visualization interactive-visualizations natural-language-processing dimensionality-reduction academic | ai |
useR2017_nlp | introduction to natural language processing with r materials for the user 2017 brussels tutorial to be held on 4 july 2017 this tutorial will introduce the basic components of natural language processing and give users the tools to apply technique to their own data our focus is on explaining the why behind each component of the natural language pipeline in addition to the how if you would like to try to following along clone this repository or download as a zip file it contains all of the required code images and data the tutorial is broken into the following parts preliminaries https github com statsmaths user2017 nlp blob master introduction pdf topic 1 exploratory analysis of tokenized text https github com statsmaths user2017 nlp blob master topic01 pdf topic 2 the nlp pipeline https github com statsmaths user2017 nlp blob master topic02 pdf topic 3 modelling textual data https github com statsmaths user2017 nlp blob master topic03 pdf what s next https github com statsmaths user2017 nlp blob master whats next pdf it is our intention to keep this repository up and accessible indefinitely please share and enjoy we have a more gentle introduction of the same material over on the programming historian http programminghistorian org lessons basic text processing in r and more in depth coverage in our book humanities data in r http humanitiesdata org for questions please contact us at statsmaths and nolauren both twitter and github | ai |
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CouseraGit | couseragit coursera certification database engineering | server |
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ED_2020 | ed 2020 experiment code for embedded system software design and implementation course in 2020 spring semester | os |
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Building-Large-Language-Model-Applications | building large language model applications building large language model applications published by packt | ai |
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FeRTOS | current build status build status https github com badrobotics fertos workflows rust badge svg fertos is a simple operating system that currently supports arm cortex m cpus though support for other architectures is planned for the future it currently has the following features ability to run multiple tasks simultaneously support for dynamic memory allocation semaphores to help avoid race conditions an ipc interface to allow different tasks to communicate various system calls this repository contains two different crates fe rtos and fe osi br fe rtos is the crate that contains the kernel scheduler and syscall implementations br fe osi is the crate that is an interface to the syscalls in fe rtos for the user program br currently you must load one monolithic binary with fe rtos fe osi and the user program to the target device but in the future we plan on allowing users to load arbitrary binaries which will make this distinction more significant important things to note when using this crate in your own projects you must use the no std and no main attributes due to the limitations of running without an os your function must include a function called main that looks like this pub fn main this is not the same main function in standard rust but what the runtime calls after it s done this basically functions as a normal main function but you must make sure it does not return this should have the no mangle attribute to work correctly you may need download the rust information for your target before building this is done by running rustup target add target arch for the tm4c that would be target arch would either be thumbv7em none eabi or thumbv7em none eabihf for the example qemu project target arch is thumbv7m none eabi you will likely need to create a custom linker script for your project this is needed to set up the interupt table and to tell fertos where and how big the heap is look at the example projects for more information to add this crate to you project simply open the project s cargo toml file and add the following under dependencies fe rtos path path to fe rtos fe osi path path to fe osi to build and load a fertos program using this crate to a microcontroller you ll need the following programs openocd gdb multiarch gcc arm none eabi cross compiller https developer arm com open source gnu toolchain gnu rm downloads for the linker and assembler for cortex m riscv gnu toolchain https github com riscv riscv gnu toolchain for riscv32 fertos depends on unstable rust features so you must use the nightly rust compiler to build it you can enable this by running rustup default nightly to revert back to stable rust run rustup default stable possible faqs why should i use fertos over something like freertos you probably shouldn t this code started from the examples at https docs rust embedded org embedonomicon preface html | os |
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CST2312 | cst2312 cst2312 information and data management i nyc college of technology citytech | data information python data-science | server |
flask-postgres-base | flask postgres base overview a basic repository containing the necessary framework files for a skeleton app using docker flask and postgres as a database gunicorn is used as the wsgi server rather than the native flask development server it also supports asyncronous task management using celery with a redis backend and rabbit mq broker nginx is configured as a reverse proxy for the application it also includes native support for alembic to create database migrations these migrations will automatically be run everytime docker compose is run to ensure that the included databaes is kept up to date a secret handling function is also included that can make use of either secrets contained in a cred json file or taken from environment variables additionally by default auto reload is enabled on changes to the contents of the app folder to allow for easy development basic usage this repository is meant to be used as a template for further development firstly clone this repository and enter into it bash git clone https github com hijerboa flask postgres base git cd flask postgres base copy app util cred example json to app util cred json this contains the connection string for the included database next build and run the docker containers bash docker compose build docker compose up visit localhost 1337 in your browser and you should see the root page of the application from this point you can use this repository to develop as you would normally for a flask applicaiton flask specific files are meant to be located in the app server folder with database migrations located in the app db migrations folder adding endpoints likely you ll want to add additional endpoints to the flask application by default this applicaiton includes a single endpoint contained in one blueprint located in app server endpoint py all endpoints must be imported and included in app server init py while it is possible to include endpoints in the flask init py file this is not recommended it is recommended to take advantage of flask s built in blueprint system more information about this blueprint system can be found in flask s official documenation https flask palletsprojects com en 2 0 x blueprints handling secrets it is always important to not store any secrets in a github repository and even more important to not hard code those secrets for this reason this repository also includes a basic secret handling function it can pull secrets from either a cred json file located at the same location the cred example json is located or from environment variables an example of it s usage can be found in both app db migrations env py and in app server init py in the former the connection string for the database is pulled from the cred json file you created in the initial setup in the later the secret key environment variable is pulled and passed to the program by the cred handler function both of these methods are valid ways to store secrets when a secret is pulled the first time it will be cached in memory for a faster response in subsequent requests logging like any good framework flask includes logging specifically uses python s built in logging an example of using logging is present in both app server init py and in app server endpoint py in app server init py the log level of the application is set to be info however this can be changed easily making migrations you will notice that this docker compose file creates three containers the container the flask app runs in the database container and a third container known as migrations this container runs initially at startup and performs any migrations necessary to update the database structure this container makes use of alembic s migration functionality normally some configuration is needed to make these migrations work but that has all been setup in this repository all you need to do is install alembic to your development system bash sudo apt install alembic then navigate to app db and then run bash alembic revision m migration name this will generate a new python file under the migrations folder which you can add upgrade and downgrade syntax using sql alchemy syntax more information on this process can be found on alembic s official documenation https alembic sqlalchemy org en latest tutorial html create a migration script async task handling this project uses a relatively standard celery setup tasks are defined in the app server tasks py by default it is recommended you add tasks in this location an example of an async task and it s usage is provided the root endpoint located in app server endpoint py demonstrates how an async task can be handled notice how when visiting the page a response is recieved instantly but the task is queued by the celery workers and completed 2 seconds later no matter how many times you reload the page it still responds instantly and even as the tasks pile up the workers will handle it further docs on celery can be found on the official documentation https docs celeryproject org en stable index html scaling celery workers scaling celery workers is simple with docker compose by default only a single worker is created but if more are required simply edit the scale attribute of the celery worker entry in docker compose yml periodic tasks also included in this template is a celery beat container celery beat is used to schedule tasks on a reoccuring regular basis under no circumstances should you scale the celery beat container as this will quickly devolve into madness an example scheduled task is included in app server tasks py that is called every 10 seconds further documentation can be found at the official documenation https docs celeryproject org en stable userguide periodic tasks html | server |
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Databases-Fall2022 | br p align center h1 align center databases db h1 p align center course instructor a href https github com mojtaba sabbagh dr mojtaba sabbagh jafari a br semester 4011 fall 2022 br for b sc students computer engineering department vali e asr university of rafsanjan br the course is instructed in persian farsi language br br p align center h2 align center teaching assistants h2 p h2 align center co head tas parsa kamalipour https github com benymaxparsa mohammad hosein cena ashoori https github com cenaashoori tas mohammad mehdi afkhami https github com mohmehdi mohammad amin ahmadi https github com mmdaminah br p align center h2 align center link of class h2 p h2 align center a href https quera org course add to course course 11911 quera a | server |
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web | p align center img width 60 src assets logo png alt modern web p p align center a href https github com modernweb dev web actions img src https img shields io github actions workflow status modernweb dev web release yml branch master label workflow style flat square alt github actions workflow status a a href https twitter com modern web dev img src https img shields io badge twitter modern web dev 1da1f3 style flat square alt follow modern web dev on twitter a p p align center a href https modern web dev website a a href https modern web dev guides guides a a href https modern web dev docs documentation a p h1 h1 guides tools and libraries for modern web development built on web standards work with and extend what s available in modern browsers learning skills and writing code that stays relevant lightweight simple solutions that are lightweight and have a low barrier to entry with extension points for power users low complexity write code that is close to what actually runs in the browser reducing abstractions and complexity p align center a href https modern web dev guides strong explore the modern web guides nbsp nbsp strong a p the goal for modern web our goal is to provide developers with the guides and tools they need to build for the modern web we aim to work closely with the browser and avoid complex abstractions modern browsers are a powerful platform for building websites and applications we try to work with what s available in the browser first before reaching for custom solutions when you re working with the browser rather than against it code skills and knowledge remain relevant for a longer time development becomes faster and debugging is easier because there are fewer layers of abstractions involved at the same time we are aware of the fact that not all problems can be solved elegantly by the browser today we support developers making informed decisions about introducing tools and customizations to their projects in such a way that developers can upgrade later as browser support improves if you wanna know more see our announcement blog post https modern web dev blog introducing modern web our products web test runner https modern web dev docs test runner overview web dev server https modern web dev docs dev server overview there is much much more to come so follow us on twitter https twitter com modern web dev contributing we are always looking for contributors of all skill levels if you re looking to ease your way into the project try out a good first issue https github com modernweb dev web issues q is 3aissue is 3aopen label 3a 22good first issue 22 if you are interested in helping contribute to modern web please take a look at our contributing guide https github com modernweb dev web blob master contributing md also feel free to drop into slack https modern web dev discover slack and say hi sponsored by a href https google com chrome style border none target blank rel noopener img src https github com open wc open wc blob master docs assets supporters chrome svg width 100 alt chrome s web framework tools performance fund logo a a href https divriots com style border none target blank rel noopener img src https github com open wc open wc blob master docs assets supporters divriots light svg gh light mode only width 200 alt divriots logo a become a sponsor and help us sustain our community contribute https opencollective com modern web contribute supported by a href http browserstack com style border none target blank rel noopener img src https github com open wc open wc blob master assets images browserstack logo svg width 200 alt browserstack logo a a href http netlify com style border none target blank rel noopener img src https www netlify com img press logos full logo light svg width 185 alt netlify logo a testing powered by saucelabs https opensource saucelabs com images opensauce powered by saucelabs badge white png sanitize true testing powered by saucelabs https saucelabs com | javascript test-runner saucelabs browserstack dev-server hacktoberfest | front_end |
Web_Dev_Bootcamp_Task | web dev bootcamp task br sudan s technocrats foundation section 8 company registered under govt of india j k first ever tech community which aims to focus on reducing the technology gap between industry and students of india sudan s technocrats tech foundation is a non profit initiative by the students for the students and of the students which aimed at making use of 21st century technologies and learning methods to foster a fresh breed of highly skilled young people empowered with technical and social skills br create your pull request for task br happy coding | front_end |
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machine-learning-notebooks | machine learning notebooks this project contains solutions to the stanford machine learning https www coursera org learn machine learning course exercises implemented with python https www python org and scikit learn http scikit learn org the scikit learn machine learning library provides optimized implementations for all algorithms presented in the course and needed in the course exercises instead of writing low level octave https www gnu org software octave code as required by the course the solutions presented here demonstrate how to use scikit learn to solve these exercises on a much higher level it is a level that is closer to that of real world machine learning projects this project respects the coursera honor code https learner coursera help hc en us articles 209818863 coursera honor code as the presented solutions can t be used to derive the lower level octave code that must be written to complete the assignments i developed these solutions while learning python and its scientific programming libraries https www scipy org such as numpy http www numpy org scipy https scipy org scipylib index html pandas http pandas pydata org and matplotlib http matplotlib org in a machine learning context the solutions are provided as jupyter http jupyter org notebooks developers new to scikit learn hopefully find them useful to see how the machine learning topics covered in the course relate to the scikit learn api http scikit learn org stable modules classes html in their current state the notebooks neither explain machine learning basics nor introduce the used libraries for learning machine learning basics i highly recommend attending the course lectures for an introduction to the used libraries the following tutorials are a good starting point python tutorial https docs python org 3 tutorial numpy tutorial https numpy org doc stable user quickstart html scipy tutorial https docs scipy org doc scipy reference tutorial index html pandas tutorial http pandas pydata org pandas docs stable 10min html pyplot tutorial http matplotlib org users pyplot tutorial html scikit learn tutorials http scikit learn org stable tutorial index html course exercises exercise 1 notebook ml ex1 ipynb linear regression ex1 pdf data ml ex1 ex1 pdf exercise 2 notebook ml ex2 ipynb logistic regression ex2 pdf data ml ex2 ex2 pdf exercise 3 notebook ml ex3 ipynb multi class classification and neural networks ex3 pdf data ml ex3 ex3 pdf exercise 4 notebook ml ex4 ipynb neural networks learning ex4 pdf data ml ex4 ex4 pdf exercise 5 notebook ml ex5 ipynb regularized linear regression and bias vs variance ex5 pdf data ml ex5 ex5 pdf exercise 6 notebook ml ex6 ipynb support vector machines ex6 pdf data ml ex6 ex6 pdf exercise 7 notebook ml ex7 ipynb k means clustering and principal component analysis ex7 pdf data ml ex7 ex7 pdf exercise 8 notebook ml ex8 ipynb anomaly detection and recommender systems ex8 pdf data ml ex8 ex8 pdf | machine-learning scikit-learn | ai |
synthetix | synthetix circleci https circleci com gh synthetixio synthetix svg style svg https circleci com gh synthetixio synthetix codecov https codecov io gh synthetixio synthetix branch develop graph badge svg https codecov io gh synthetixio synthetix npm version https badge fury io js synthetix svg https badge fury io js synthetix discord https img shields io discord 413890591840272394 svg color 768ad4 label discord logo https 3a 2f 2fdiscordapp com 2fassets 2f8c9701b98ad4372b58f13fd9f65f966e svg https discord com invite synthetix twitter follow https img shields io twitter follow synthetix io svg label synthetix io style social https twitter com synthetix io synthetix is a crypto backed synthetic asset platform it is a multi token system powered by snx the synthetix network token snx holders can stake snx to issue synths on chain synthetic assets via the staking dapp https staking synthetix io the network currently supports an ever growing list of synthetic assets https www synthetix io synths please see the list of the deployed contracts on main and testnets https docs synthetix io addresses synths can be traded using kwenta https kwenta io synthetix uses a proxy system so that upgrades will not be disruptive to the functionality of the contract this smooths user interaction since new functionality will become available without any interruption in their experience it is also transparent to the community at large since each upgrade is accompanied by events announcing those upgrades new releases are managed via the synthetix improvement proposal sip https sips synthetix io all sip system similar to the eips https eips ethereum org all prices are committed on chain by a trusted oracle provided by chainlink https feeds chain link please note that this repository is under development for the latest system documentation see docs synthetix io https docs synthetix io dapps staking synthetix io https staking synthetix io kwenta io https kwenta io stats synthetix io https stats synthetix io community discord https img shields io discord 413890591840272394 svg color 768ad4 label discord logo https 3a 2f 2fdiscordapp com 2fassets 2f8c9701b98ad4372b58f13fd9f65f966e svg https discordapp com channels 413890591840272394 twitter follow https img shields io twitter follow synthetix io svg label synthetix io style social https twitter com synthetix io for a guide from the community see synthetix community https synthetix community repo guide branching a note on the branches used in this repo master represents the contracts live on mainnet and all testnets when a new version of the contracts makes its way through all testnets it eventually becomes promoted in master with semver https semver org reflecting contract changes in the major or minor portion of the version depending on backwards compatibility patch changes are simply for changes to the javascript interface testing circleci https circleci com gh synthetixio synthetix svg style svg https circleci com gh synthetixio synthetix codecov https codecov io gh synthetixio synthetix branch develop graph badge svg https codecov io gh synthetixio synthetix please see docs synthetix io contracts testing https docs synthetix io contracts testing for an overview of the automated testing methodologies module usage npm version https badge fury io js synthetix svg https badge fury io js synthetix this repo may be installed via npm install to support both node js scripting applications and solidity contract development examples 100 please see our walkthroughs for code examples in both javascript and solidity docs synthetix io integrations https docs synthetix io integrations solidity api all interfaces are available via the path synthetix contracts interfaces contracts interfaces zap in your code the key is to use iaddressresolver which can be tied to the immutable proxy readproxyaddressresolver https contracts synthetix io readproxyaddressresolver introduced in sip 57 https sips synthetix io sips sip 57 you can then fetch synthetix feepool depot et al via iaddressresolver getaddress bytes32 name where name is the bytes32 version of the contract name case sensitive or you can fetch any synth using iaddressresolver getsynth bytes32 synth where synth is the bytes32 name of the synth e g ieth susd sdefi e g npm install synthetix then you can write solidity as below using a compiler that links named imports via node modules solidity pragma solidity 0 5 16 import synthetix contracts interfaces iaddressresolver sol import synthetix contracts interfaces isynthetix sol contract mycontract this should be instantiated with our readproxyaddressresolver it s a readproxy that won t change so safe to code it here without a setter see https docs synthetix io addresses for addresses in mainnet and testnets iaddressresolver public synthetixresolver constructor iaddressresolver snxresolver public synthetixresolver snxresolver function synthetixissue external isynthetix synthetix synthetixresolver getaddress synthetix require synthetix address 0 synthetix is missing from synthetix resolver issue for msg sender address mycontract synthetix issuemaxsynths function synthetixissueonbehalf address user external isynthetix synthetix synthetixresolver getaddress synthetix require synthetix address 0 synthetix is missing from synthetix resolver note this will fail if delegateapprovals approveissueonbehalf address mycontract has not yet been invoked by the user synthetix issuemaxsynthsonbehalf user node js api getast source match contracts returns the abstract syntax tree ast for all compiled sources optionally add source to restrict to a single contract source and set match to an empty regex if you d like all source asts including third party contracts getpathtonetwork network file returns the path to the folder or file within the folder for the given network getsource network return abi and bytecode for a contract source getsuspensionreasons code return mapping of systemstatus suspension codes to string reasons getstakingrewards network return the list of staking reward contracts available getsynths network return the list of synths for a network gettarget network return the information about a contract s address and source file the contract names are those specified in docs synthetix io addresses https docs synthetix io addresses gettokens network return the list of tokens synths and snx used in the system along with their addresses getusers network return the list of user accounts within the synthetix protocol e g owner fee etc getversions network bycontract false return the list of deployed versions to the network keyed by tagged version if bycontract is true it keys by contract name networks return the list of supported networks tobytes32 convert any string to a bytes32 value via code javascript const snx require synthetix snx getast contracts addressresolver sol imports contracts owned sol contracts interfaces iaddressresolver sol contracts interfaces isynthetix sol contracts addressresolver object interfaces libraries contracts owned sol imports contracts owned object interfaces libraries snx getast source synthetix sol imports contracts externstatetoken sol contracts mixinresolver sol contracts interfaces isynthetix sol contracts tokenstate sol contracts interfaces isynth sol contracts interfaces ierc20 sol contracts interfaces isystemstatus sol contracts interfaces iexchanger sol contracts interfaces iissuer sol contracts interfaces isynthetixstate sol contracts interfaces iexchangerates sol contracts supplyschedule sol contracts interfaces irewardescrow sol contracts interfaces ihasbalance sol contracts interfaces irewardsdistribution sol contracts synthetix functions array events array variables array modifiers array structs inherits array interfaces libraries get the path to the network snx getpathtonetwork network mainnet synthetixio synthetix publish deployed mainnet retrieve an object detailing the contract abi and bytecode snx getsource network goerli contract proxy bytecode 0 0 abi snx getsuspensionreasons 1 system upgrade 2 market closure 3 circuit breaker 99 emergency retrieve the array of synths used snx getsynths network goerli map name name susd seur retrieve an object detailing the contract deployed to the given network snx gettarget network goerli contract proxysynthetix name proxysynthetix address 0x322a3346bf24363f451164d96a5b5cd5a7f4c337 source proxy link https goerli etherscan io address 0x322a3346bf24363f451164d96a5b5cd5a7f4c337 timestamp 2019 03 06t23 05 43 914z txn network goerli retrieve the list of system user addresses snx getusers network mainnet name owner address 0xeb3107117fead7de89cd14d463d340a2e6917769 name deployer address 0xede8a407913a874dd7e3d5b731afca135d30375e name marketclosure address 0xc105ea57eb434fbe44690d7dec2702e4a2fbfcf7 name oracle address 0xac1ed4fabbd5204e02950d68b6fc8c446ac95362 name fee address 0xfeefeefeefeefeefeefeefeefeefeefeefeefeef name zero address 0x0000000000000000000000000000000000000000 snx getversions v2 21 12 107 tag v2 21 12 107 fulltag v2 21 12 107 release hadar network goerli date 2020 05 08t12 52 06 04 00 commit 19997724bc7eaceb902c523a6742e0bd74fc75cb contracts readproxyaddressresolver object snx networks local goerli mainnet snx tobytes32 susd 0x7355534400000000000000000000000000000000000000000000000000000000 as a cli tool same as above but as a cli tool that outputs json using names without the get prefixes bash npx synthetix ast contracts synth sol imports contracts owned sol contracts externstatetoken sol contracts mixinresolver sol contracts interfaces isynth sol contracts interfaces ierc20 sol contracts interfaces isystemstatus sol contracts interfaces ifeepool sol contracts interfaces isynthetix sol contracts interfaces iexchanger sol contracts interfaces iissue npx synthetix bytes32 susd 0x7355534400000000000000000000000000000000000000000000000000000000 npx synthetix networks local goerli mainnet npx synthetix source network goerli contract proxy bytecode 0 0 abi npx synthetix suspension reason code 2 market closure npx synthetix synths network goerli key name susd seur npx synthetix target network goerli contract proxysynthetix name proxysynthetix address 0x322a3346bf24363f451164d96a5b5cd5a7f4c337 source proxy link https goerli etherscan io address 0x322a3346bf24363f451164d96a5b5cd5a7f4c337 timestamp 2019 03 06t23 05 43 914z network goerli npx synthetix users network mainnet user oracle name oracle address 0xac1ed4fabbd5204e02950d68b6fc8c446ac95362 npx synthetix versions v2 0 19 tag v2 0 19 fulltag v2 0 19 release network mainnet date 2019 03 11t18 17 52 04 00 commit eeb271f4fdd2e615f9dba90503f42b2cb9f9716e contracts depot address 0x172e09691dfbbc035e37c73b62095caa16ee2388 status replaced replaced in v2 18 1 exchangerates address 0x73b172756bd5ddf0110ba8d7b88816eb639eb21c status replaced replaced in v2 1 11 npx synthetix versions by contract depot address 0x172e09691dfbbc035e37c73b62095caa16ee2388 status replaced replaced in v2 18 1 address 0xe1f64079ada6ef07b03982ca34f1dd7152aa3b86 status current exchangerates address 0x73b172756bd5ddf0110ba8d7b88816eb639eb21c status replaced replaced in v2 1 11 | synthetix ethereum defi blockchain derivatives | blockchain |
advanced-database | advanced database repository of advanced database subject computer engineering 4 course | server |
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laravel-php-deploy-on-LAMP | laravel php deployment on a lamp stack | cloud |
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ProjectTox-Qt-GUI | qt gui for tox build status https travis ci org nurupo projecttox qt gui png branch master https github com nurupo projecttox qt gui a cross platform front end for projecttox core https github com irungentoo projecttox core written in qt5 and c please note that development is very early on and the project is not ready to use yet development on the project has stopped due to not having enough time for it screenshots hi there http i imgur com ujfsjgd png current master branch running on windows 7 current master branch running on windows 7 hi there http i imgur com svb0tx9 png old master branch running on windows 7 older master branch running on windows 7 hi there http i imgur com wv3lro7 png the ancient version 0 1 0 running on windows 7 the ancient version 0 1 0 running on windows 7 building see install md install md contributing 1 find a thing to fix implement in issues https github com nurupo projecttox qt gui issues direction desc sort created state open or come up with your own idea create a discussion issue https github com nurupo projecttox qt gui issues new for it and get a feedback 2 fork the repo https help github com articles fork a repo 3 create your feature branch git checkout b my new feature 4 commit your changes git commit am add some feature 5 push to the branch git push origin my new feature 6 create new pull request https help github com articles using pull requests contact you can usually find me at the following irc channel irc chat freenode net 6667 tox dev http webchat freenode net channels tox dev license qt gui for tox is licensed under gplv3 copying note that icons resources icons license and audio sounds license are licensed differently | front_end |
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Mobile-Development | mobile development android android react native react native flutter flutter curated list of awesome android libraries and resources https github com jstumpp awesome android curated list of awesome swift libraries and resources https github com matteocrippa awesome swift curated list of awesome react native libraries and resources https github com jondot awesome react native curated list of awesome flutter packages and resources https github com solido awesome flutter android roadmap for android development credits tientnvn https github com tientnvn img src roadmap android png android related resources for beginners 1 udacity nanodegree android user interface https www udacity com course android basics user interface ud834 1 udacity nanodegree android user input https www udacity com course android basics user input ud836 1 udacity nanodegree android multi screen apps https www udacity com course android basics multi screen apps ud839 1 udacity nanodegree android networking https www udacity com course android basics networking ud843 1 udacity nanodegree android data storage https www udacity com course android basics data storage ud845 for people with intermediate level expertise 1 udacity nanodegree developing android apps https www udacity com course new android fundamentals ud851 1 udacity nanodegree advanced android app development https www udacity com course advanced android app development ud855 1 udacity nanodegree gradle for android and java https www udacity com course gradle for android and java ud867 1 udacity nanodegree material design for android developers https www udacity com course material design for android developers ud862 1 udacity nanodegree android wear development https www udacity com course android wear development ud875a 1 google codelabs https codelabs developers google com cat android youtube channels mindorks https www youtube com channel ucocbchvv7hpx0g5sbnouv7w cheezy code https www youtube com channel ucoknqk msocf3sanw8wumfg edmt dev https www youtube com channel ucllewj2bgdqb8u9ld15inag aws rh https www youtube com channel ucoqp duwqh0jwezrg4dt2ug react native roadmap for react quite similar to react native img src roadmap react native png react native related resources for beginners 1 react native tutorial building ios apps with javascript https www raywenderlich com 165140 react native tutorial building ios android apps javascript flutter roadmap for flutter img src https github com olexale flutter roadmap raw master images flutterroadmap png flutter related resources free resources to learn flutter https medium com flutter community free resources to learn and advance in flutter e07875ffc825 | front_end |
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SpringEmployeePayRollApp | springemployeepayrollapp start the backend development of employee payroll app | server |
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Data-Technologies | data technologies this repository will hold various data technologies around databases big data nosql databases and other data engineering concepts mongodb mongodb scripts python code samples big data various implementations within big data technologies map reduce implementation using python apache pig scripts apache hive queries apache hbase apache flume apache kafka | server |
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vscode-azure-blockchain-ethereum | deprecated active at https github com trufflesuite vscode ext blockchain development kit for ethereum version https vsmarketplacebadge apphb com version azblockchain azure blockchain svg https marketplace visualstudio com items itemname ms azuretools vscode logicapps installs https vsmarketplacebadge apphb com installs azblockchain azure blockchain svg https marketplace visualstudio com items itemname azblockchain azure blockchain rating https vsmarketplacebadge apphb com rating star azblockchain azure blockchain svg https marketplace visualstudio com items itemname azblockchain azure blockchain review details build status https msazure visualstudio com blockchain apis build status blockchain vs extensions blockchain vs extension prod https msazure visualstudio com blockchain build latest definitionid 71311 the extension simplifies how you create build and deploy smart contracts on ethereum ledgers if you are doing open source blockchain development the extension has built in integration for open source tools such as truffle https truffleframework com infura https infura io and openzeppelin https openzeppelin com an azure subscription is optional if you are doing azure development an azure subscription is required log into your azure subscription or create a free account https azure microsoft com free wt mc id a261c142f before you begin enjoy the same integration of open source tools with azure blockchain service and other azure hosted blockchain networks such as hyperledger besu https azuremarketplace microsoft com en us marketplace apps consensys hyperledger besu quickstart or the enterprise supported pegasys plus network open source ethereum development details summary style font size 15pt get started with smart contracts summary create a new smart contract project the blockchain developer kit was built to work effectively for both new users to ethereum but not get in the way for those familiar with the process one of the primary goals is to help users create a project structure for these smart contracts help in the compilation and building of these assets deployment of these assets to blockchain endpoints as well as debugging of these contracts one of the frameworks that the extension leverages is truffle suite https truffleframework com a well known set of tools to assist in smart contract and dapp development developers that are familiar with truffle suite may use the truffle command line e g truffle init directly from the vs code terminal if they like for developers who are not familiar with truffle or prefer to use the command palette the extension can easily scaffold out a project directory using the following steps 1 from the command palette https github com microsoft vscode azure blockchain ethereum wiki command palette type blockchain new solidity project 2 select an empty directory to scaffold out your project 3 choose a name for your contract 4 press enter command palette new solidity project https github com azure samples blockchain devkit raw master media extensionmedia createnewproject gif build your smart contracts your newly scaffolded out directory includes a simple contract and all the necessary files to build and deploy a simple working contract to the blockchain endpoint use the following steps to build your contract 1 select your contract solidity sol file right click and choose build contracts right click shortcut build contracts https github com azure samples blockchain devkit raw master media extensionmedia buildcontractrightclick gif deploy to the ethereum blockchain rpc endpoint once compiled you will have your contract contract metadata e g contract abi bytecode available in the smart contract json file which will be located in the build directory the next steps is to deploy these contracts to a blockchain network for new users this can be hard to understand because there are multiple steps that need to occur for the deployment to be successful to ease this burden the extension provide a simple model to deploy to various networks by default this will be a local network using ganache the extension will start and run an instance of ganache for the user the options to initiate this deployment are below 1 select your contract solidity sol file right click and choose deploy contracts right click smart contract deploy contract https github com azure samples blockchain devkit raw master media extensionmedia deploycontractrightclick gif details br details summary style font size 15pt deploy with truffle ganache locally summary for rapid development of smart contracts having the ability deploy contracts to a blockchain quickly to test and debug is a key principle one of the most popular models to achive this is using truffle ganache which acts as a local blockchain blockchain emulator to allow this quick deployment and iteration that is ideal for developers the extension has integrated ganache directly into the ide to further lower the bar to entry and allow even faster development iteration by default there is nothing to configure and the following steps can be used 1 after selecting to deploy the contracts either from the command pallette or by right clicking on the contract and selecting deploy contracts a dropdown will be presented with options for where to deploy the contract by default there will be a single entry on this list named development 2 after selecting development the ide will create a new instance of truffle ganache which will use the default configuration for the project as the target the ide will then deploy the contracts to this instance truffle default deployment https github com azure samples blockchain devkit raw master media extensionmedia truffledefaultdeploy gif optional if there is a need to control this ganache instance more or change the configuration there are some other options that can be used that the ide can help with as well 1 if there is a need to run the ganache instance on a port other than the default of 8545 a new local network can be created and the port configuration added for this the steps do this are a expand the blockchain view in the extension by clicking the name b next click create a new network c select local service d provide a name for this service that will be referenced when targeting it from deployment e enter the port number to use for this local network custom local service https github com azure samples blockchain devkit raw master media extensionmedia trufflecustomdeploy gif details br details summary style font size 15pt deploy with infura to ethereum mainnet and testnets summary if you are a developer that would like to target public testnet and mainnet for ethereum the ability to leverage infura from inside the ide is provided via this extension for those that aren t familiar with infura it provides the tools and infrastructure that allow developers to easily take their blockchain application from testing to scaled deployment with simple reliable access to ethereum mainnet and testnets and also has support for ipfs details can be found on the getting started with infura blog https blog infura io getting started with infura 28e41844cc89 and on the infura docs pages https infura io docs to use infura the first step is to either create or connect to an existing infura project the ide will step through this process 1 expand the blockchain view in the extension by clicking the name 2 next click create a new network 3 select infura service 4 at this point the extension will prompt you for credentials to sign into infura simply click the sign in button don t worry if you don t already have an infura account because you can create one if needed 5 on the infura login page login with your infura account credentials if you don t already have an infura account simply click the sign up link at the bottom 6 after signing into infura you will be askted for authorization to share your infura projects with the extension click authorize 7 next close the browser window and you will back in the ide a prompt will be presented to allow you to enter a project name enter the desired name for this 8 next select the availability of the project inside infura public or private by default public is the option used 9 after a few seconds the blockchain view will show a new infura service with your project nested under and under this will the various endpoints that infura provides 10 now that a connection to infura has been created this network can easily be targeted when deploying contracts when right clicking and deploying contracts a set of options will be added for these new infura destinations 11 simply select the desired target network endpoint and the extension will deploy the contracts to this location infura deploy https github com azure samples blockchain devkit raw master media extensionmedia infuradeploy gif details br details summary style font size 15pt deploy with hyperledger besu summary hyperledger besu is a popular ethereum client that is unique in that it offers a client that can be used in either public networks such as ethereum mainnet or private consortium based networks it can be deployed a variety of ways https besu hyperledger org en stable howto get started install binaries and recently a preview has been made available in azure https azuremarketplace microsoft com en us marketplace apps consensys hyperledger besu quickstart tab overview currently the hyperledger besu is fully compatible with the extension however the provisioning of the nodes is not yet fully integrated to connect to a running besu node with the extension you can do the following 1 deploy hyperledger besu locally or in the cloud see links in above 2 retrieve the json rpc endpoint that will be used to communicate with the besu network this varies based on the deployment model for azure deployments these can be retrieved from the output parameters from the deployment 3 update the configuration manually this is shown in the video below the extension has the ability to use an hd wallet provider that simply requires a file with a mnemonic to function add the following to the configuration besu network id gas 0 gasprice 0 provider new hdwalletprovider fs readfilesync path to a file with a mnemonic utf 8 besu jsonrpc endpoint besu deploy https github com azure samples blockchain devkit raw master media extensionmedia hyperledgerbesudeploy gif details br details summary style font size 15pt deploy with azure blockchain service to cloud summary if you are a developer that would like to target a network that leverages azure this option is also available the option to create new networks or connect to existing ones are is available the same as with infura and local networks 1 click create a new network in the azure blockchain tab or type azure blockchain create a new network in the command palette https github com microsoft vscode azure blockchain ethereum wiki command palette 2 choose your subscription resource group and region to deploy to 3 enter the name of your consortium https docs microsoft com azure blockchain service consortium 4 wait until your resource has been created in azure note deploying the azure blockchain service takes quite some time to complete please check the deployment status in the azure portal create and azure blockchain service https github com azure samples blockchain devkit raw master media extensionmedia azuredeploy gif details br system requirements supported operating systems windows 10 mac osx vs code 1 36 1 or greater python 2 7 15 node 10 15 x git 2 10 x our wiki page https github com microsoft vscode azure blockchain ethereum wiki includes a comprehensive getting started guide with detailed usage instructions for this plugin code of conduct this project has adopted the microsoft open source code of conduct https opensource microsoft com codeofconduct for more information see the code of conduct faq https opensource microsoft com codeofconduct faq or contact opencode microsoft com mailto opencode microsoft com with any additional questions or comments telemetry vs code collects usage data and sends it to microsoft to help improve our products and services read our privacy statement https go microsoft com fwlink linkid 528096 clcid 0x409 to learn more if you don t wish to send usage data to microsoft you can set the telemetry enabletelemetry setting to false learn more in our faq https code visualstudio com docs supporting faq how to disable telemetry reporting | blockchain ethereum vscode vscode-extension infura blockchain-developer-kit deprecated obsolete | blockchain |
altschoool--cloud.-excercises | output of ifconfig command after configuring private network to dhcp dynamic host configuration protocol | cloud |
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CEG-IaC-Live-ACP | img alt convatec src https upload wikimedia org wikipedia en 4 4c convatec logo svg readme this is convatec s terragrunt repository for iac this is the link to cloud azure badge azure this is the changelog file changelog badge changelog this is the notice file notice badge notice this is the license file license badge license github https img shields io badge github ceg iac modules acp brightgreen svg style flat logo github https github com devcvt ceg iac modules azure tf registry https img shields io badge terraform docs 7b42bc svg style flat logo terraform https registry terraform io providers hashicorp azurerm latest docs tg registry https img shields io badge terragrunt docs violet svg style flat logo terraform https terragrunt gruntwork io docs directory structure convatec cloud engineering group customer facing customer facing non production l1 l2 l3 resource group 1 terragrunt hcl resource group 2 terragrunt hcl environment hcl subscription hcl customer facing production l1 l2 l3 resource group 1 terragrunt hcl resource group 2 terragrunt hcl environment hcl subscription hcl childmanagementgroup hcl customer support customer support non production environment hcl subscription hcl customer facing production environment hcl subscription hcl childmanagementgroup hcl decomissioned childmanagementgroup hcl innovation customer support non production environment hcl subscription hcl customer support production environment hcl subscription hcl childmanagementgroup hcl operations customer support non production environment hcl subscription hcl customer support production environment hcl subscription hcl childmanagementgroup hcl global hcl managementgroup hcl tenant hcl terragrunt hcl convatec cloud engineering group legacy ac visual studio professional rm visual studio professional rm visual studio professional subscription non production l1 l2 l3 project 1 aks nsg secops resourcegroup terragrunt hcl project hcl l4 project 1 logicapp logicapp2 terragrunt hcl environment hcl subscription hcl rm visual studio professional subscription non production environment hcl subscription hcl childmanagementgroup hcl global hcl rootmanagementgroup hcl tenant hcl terragrunt hcl level 0 transition from manual to automation level 0 creates and onboards the desired subscriptions creates the terraform state repository for the different environments sandpit production dev creates the privileged access workstation and service principals level 0 also enables the connection to the azure devops environment as well as the creation of the devops private agents as well as the necessary azure ad groups for collaboration between the developers of the environment level 1 core security governance and accounting level 1 is responsible for role based access control rbac enforcement of the subscriptions subscription behavior configuration using azure management groups azure policies ensures deployment of preventive and reactive controls this level is also in charge of deploying the fundamental configuration for azure monitor and log analytics shared security services including azure event hub namespace for integration with third parties siem solutions level 2 shared services shared services include each environment s core networking components using hub and spoke or any other network topology level 2 also includes services like azure site recovery vault for backup and disaster recovery azure monitor settings for the monitoring of the environment alongside with azure automation for patch management of the resources other resources could be image management for virtual machines in the environment level 3 application infrastructure this layer is responsible for enforcing the application s environment overall configuration for instance the azure appservice environment the azure kubernetes services cluster the api management services and all its dependency to deliver a service deploying the azure application gateway web application firewall level 4 application layer this level contains the application configuration and links to the source repository and frameworks it describes which framework is used for instance springboot microservices dotnet core etc and describes the configuration of the application how many instances how to link to the database etc these files make use of pre commit framework http pre commit com how to install 1 install dependencies markdownlint disable no inline html terraform https www terraform io downloads terragrunt https terragrunt gruntwork io docs getting started install sops https github com mozilla sops releases pre commit https pre commit com install checkov https github com bridgecrewio checkov required for checkov hook terraform docs https github com terraform docs terraform docs required for terraform docs hook terragrunt https terragrunt gruntwork io docs getting started install required for terragrunt validate hook terrascan https github com accurics terrascan required for terrascan hook tflint https github com terraform linters tflint required for terraform tflint hook tfsec https github com liamg tfsec required for terraform tfsec hook infracost https github com infracost infracost required for infracost breakdown hook jq https github com stedolan jq required for infracost breakdown hook authors created and maintained by convatec cloud engineering group convatec 2022 license unlicensed copyright c convatec all rights reserved see license azure https portal azure com azure badge https img shields io badge cloud microsoft 20azure blue svg style flat logo microsoftazure readme readme md readme badge https img shields io badge readme information red svg usage usage md usage badge https img shields io badge usage examples lightgrey svg changelog changelog md changelog badge https img shields io badge changelog release green svg license license md license badge https img shields io badge license 40convatec orange svg notice notice md notice badge https img shields io badge notice 40copyright lightgrey svg | cloud |
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mbed-Cyclic-Executive | mbed cyclic executive embedded software assignment 2 11 03 2020 design and develop a real time os using cyclic executive system | os |
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llm3s-conatiner | complete docs detailed full doc for everything pdf install envs first install pytorch2 0 https pytorch org get started locally then install others pip install r requirements txt deploy necessary settings run train sft model bash run sh run train reward model bash run reward sh run train rlhf model bash run rlhf sh prepare data sft data refer sft data construction reward data and rlhf data refer rlhf ppo | ai |
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is-this-fake-news | is this fake news using machine learning to identify fake news articles live demo www isthisfakenews ai http www isthisfakenews ai note this is currently running on a free heroku instance so it may take a minute to boot up for the page to load p float left img src https github com malwaredllc is this fake news blob main static images real prediction png raw true png width 400 img src https github com malwaredllc is this fake news blob main static images fake prediction png raw true width 400 p how it works read the paper here https github com malwaredllc is this fake news blob main research paper pdf research notebooks the research notebooks research notebooks were developed on kaggle using the fake and real news dataset https www kaggle com clmentbisaillon fake and real news dataset code the 2 approaches explored in the research notebooks are multi layer perceptron bert fine tuning running the web app locally install python 3 7 install the required packages with the command python3 m pip install r requirements txt launch the web app with the command python3 m flask run navigate to http 127 0 0 1 5000 in your browser enjoy | machine-learning natural-language-processing | ai |
gcp-work | gcp work this is a repository includes all the cloud data engineering work | cloud |
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carbon-components-angular | p align center h1 align center carbon components angular h1 p align center an angular implementation of the carbon design system br br a href https github com carbon design system carbon components angular actions workflows publish yml img src https github com carbon design system carbon components angular actions workflows publish yml badge svg a a href https www npmjs com package carbon components angular img src https img shields io npm v carbon components angular svg a img alt semantic release src https img shields io badge 20 20 f0 9f 93 a6 f0 9f 9a 80 semantic release e10079 svg a href https www netlify com target blank img src https www netlify com img global badges netlify color accent svg a a href https bestpractices coreinfrastructure org projects 5887 img src https bestpractices coreinfrastructure org projects 5887 badge a a href https discord gg j7jeuektrx img src https img shields io discord 689212587170201628 color 5865f2 alt chat with us on discord a p p getting started assuming we re starting with a new angular cli project shell npx angular cli new my project style scss cd my project npm i save carbon components angular carbon styles then we need to include carbon components in src styles scss scss use carbon styles note for offline usage we ll need to set font path carbon components src globals fonts at the very top of our src styles scss this will copy the fonts to our dist folder upon successful build if you like the fonts to be a part of your assets folder and not pollute the dist folder then copy the fonts from node modules carbon components src globals fonts into our app s src assets fonts folder and add font path assets fonts at the very top of our src styles scss that s it now we can run npm start and start building out our application note this isn t the only way to bootstrap a carbon components angular application but the combination of angular cli and the carbon components scss is our recommended setup edit carbon components angular https codesandbox io static img play codesandbox svg https codesandbox io s 0129r494ql support for general usage questions or other discussions visit our github discussions https github com carbon design system carbon components angular discussions for things that are broken or need enhancement open an issue https github com carbon design system carbon components angular issues new for quick usage questions join the carbon design system discord https discord gg wys7j95mhw ibmers should use our carbon ng slack channel angular version support matrix angular v3 v4 v5 future release 6 7 8 9 10 11 12 13 14 15 16 carbon components angular version support matrix carbon components angular version community support active support v1 v2 v3 v4 v5 not supported versions out of support we plan to support our latest and previous release beyond that we make no guarantees of continued support these include v1 v2 how to read this table community support we depend primarily on community issue reports and contributions to help maintain our components a version with only community support is especially reliant on contributions though we will backport small fixes when applicable active support we will actively maintain and update these versions with new features new components bug fixes and ensure it s compatible with the carbon design system and latest angular versions contributing ibmers contributing if you are an ibmer you must complete the steps at w3 developer https w3 ibm com developer docs open source contributing before contributing to any open source projects see our contributing guidelines https github com carbon design system carbon components angular blob master github contributing md for more details quickstart fork carbon design system carbon components angular and clone it locally run npm install to grab all the dependencies then npm run storybook to start storybook if you are adding a component add a folder with your component code styles tests and story under src export your module from index ts if you are contributing a fix add your fix update the documentation as needed consider adding or modifying a test case to cover the fix follow the angular style guide https angular io styleguide be sure to run npm test and npm run lint to make sure the tests and linter pass submit a pr pull request guidelines keep changes small and focused if you create a pull request and then realize it is not ready to be merged prepend wip for example wip fixed text overflow in accordion headers and assign a wip label include a description of changes attach a screenshot or a gif for design reference if needed reference the related issue closes 123 or fixes 123 will close issue 123 once the pr is merged issue 123 just references the issue only use this if you definitely need the issue to remain open mention any specific other developers that need to be aware of the changes add the needs review label along with any other relevant labels link to code review checklist goes here issues submission guidelines one issue per defect do not open an issue that spans multiple defects provide a descriptive title that mentions the component and version the issue covers provide version s affected a description of the issue steps taken to produce the issue expected behaviour current behaviour screenshots if needed relevant code snippets links to application source code or running demo codesandbox is awesome for this https codesandbox io s angular including connection authentication information add relevant labels bug accessibility design discussion feature etc if you have a fix to contribute assign yourself otherwise leave unassigned npm commands to keep our build dependencies local we use npm scripts to run our webpack gulp and general build tasks you should never install webpack or gulp globally as that will likely conflict with our version you should never need to modify the build process to add a component or story npm run storybook to run storybook port 6006 npm run build to generate the dist docs build to build documentation docs server to build and run the documentation server npm run lint to run tslint npm test to run tests resources style guide wip https github com carbon design system carbon components angular wiki style guide general component api guidelines wip https github com carbon design system carbon components angular wiki component api guidelines angular style guide https angular io styleguide i18n tooling i18n guide https angular io guide i18n ngx translate https github com ngx translate core angular 2 doesn t have anything like ngaria instead here s the a11y project http a11yproject com wai aria specs https www w3 org tr wai aria and wai aria authoring practices https www w3 org tr 2016 wd wai aria practices 1 1 20160317 typescript docs https www typescriptlang org docs tutorial html philosophy components should be the smallest unit of computation think in terms of pages and applications composed from a multitude of components rather than pages or applications as a single unit of computation components should delegate to the consumer whenever possible the individual applications should be the single source of truth and be able to create any ui from our building blocks components should do one thing and do it well this does not mean they should be over specialized but rather focus on providing a single core experience components should not maintain more state than absolutely necessary likewise stateless components should be favored whenever possible components should not necessarily implement the style guide point for point the guide simply provides guidance on overarching functionality components should enable that and product specific designs without baking in extra functionality code of conduct read our code of conduct here github code of conduct md | angular component-library carbon-design-system ibm deprecated deprecated-library hacktoberfest | os |
azure-iot-middleware-freertos | azure iot middleware for freertos linux ci tests https github com azure azure iot middleware freertos actions workflows ci tests linux yml badge svg branch main https github com azure azure iot middleware freertos actions workflows ci tests linux yml the azure iot middleware for freertos simplifies the connection of devices running freertos to azure iot services it builds on top of the azure sdk for embedded c https github com azure azure sdk for c and adds mqtt client support below are key points of this project the azure iot middleware for freertos is non allocating that is customers must allocate our data structures where they desire global memory heap stack etc and then pass the address of the allocated structure into our functions to initialize them and in order to perform various operations the azure iot middleware for freertos operates at the mqtt level establishing the mqtt connection subscribing and unsubscribing from topics sending and receiving of messages and disconnections are handled by the customer via middleware apis customers control the tls tcp connection to the endpoint this allows for flexibility between software or hardware implementations of either for porting please see the porting porting section below no background threads are created by the azure iot middleware for freertos messages are sent and received synchronously retries with backoff are handled by the customer freertos makes use of their own backoff and retry logic which customers are free to use we demo this in our samples table of contents azure iot middleware for freertos azure iot middleware for freertos table of contents table of contents samples samples docs docs repo structure repo structure dependencies dependencies library architecture library architecture code size code size building building using cmake using cmake using source files using source files using amazon freertos using amazon freertos porting porting tcp ip and tls tcpip and tls mqtt mqtt port application from azure iot c sdk port application from azure iot c sdk support support contributing contributing code style code style license license trademarks trademarks samples to keep this repo simple without board specific dependencies we have a separate repo with all of the samples please see the link here for working samples https github com azure samples iot middleware freertos samples there we have samples for several devices including device azure iot hub azure iot device provisioning azure device update stm32l475 check check check stm32l4 check check check stm32h745 check check check nxp rt1060 check check check espressif esp32 check check check linux check check check windows check check cross for a video deep dive into this repo and the samples please see the microsoft developers video below img src docs resources deep dive video jpg width 50 https youtu be pnykfuj3vds docs we have published doxygen generated documentation for all of our apis please see the link here to review how to use the apis https azure github io azure iot middleware freertos azure device update for details on using this library for over the air updates please refer to this document how to use the adu agent client in azure iot middleware for freertos docs how to use adu client md repo structure this repo is built for integration into your project as mentioned above if you would like to try out our samples please clone that repo to get started otherwise this repo will allow you to integrate the azure iot middleware for freertos into your embedded project to see how that integration works please see our below sections for building building the most relevant sections of the repo are the following config templates template config files to use for the library provided to easily bootstrap your project with the middleware libraries submodule dependencies for the middleware to initialize these after cloning you can run bash git submodule update init ports the source code for the mqtt abstraction currently coremqtt if you would like to create your own mqtt abstraction implementation please see the porting guide below mqtt source all source files and headers for the middleware to see how to build the project by using source files only please see our below section for source file building using source files tests all unit and end to end tests used for validation dependencies we have dependencies on two libraries under the libraries directory azure iot sdk for embedded c https github com azure azure sdk for c and coremqtt https github com freertos coremqtt coremqtt is used as a default mqtt implementation but may be swapped out by following our porting guide below mqtt library architecture below is a diagram showing the architecture for the middleware fundamentally this middleware is build on top of the azure sdk for embedded c https github com azure azure sdk for c and adds mqtt functionality to abstract one layer away for simplified application building all green boxes are taken care of by the middleware and are supported by microsoft while blue boxes are up to the user please see the porting section porting for details on the blue boxes img src docs resources middleware arch png width 75 img code size total library size can depend on feature usage rough approximations and averages from our samples are the following with os and no logging features flash text rodata data ram1 ram2 dss data iot hub dps 24 kb 12 bytes iot hub only 11 5 kb 12 bytes for total binary sizes for each of our samples please see the size chart section in each of our board specific readmes https github com azure samples iot middleware freertos samples iot hub samples on our samples repo building please note that this repository does not clone freertos if using cmake we require the user to pass build variables to point to freertos artifacts if using other methods to build we still require those artifacts to be available at compile time details are provided below for both scenarios using cmake this repository uses cmake to build to integrate into your project use the add subdirectory cmake function in your cmakelists txt and pass three paths as cmake options you can set these either in the configuration step of cmake with a d or add them as cache variables in your cmake please see here for an example from our samples https github com azure samples iot middleware freertos samples blob be17acac1ef5d0c3d8d3f0539b0409dbcc69d0e7 cmakelists txt l36 l42 freertos directory full path to a directory which contains freertos as set up on github https github com freertos freertos freertos port directory the full path to the freertos port that you would like to use on github you can find the list here https github com freertos freertos kernel tree main portable locally if you initialize the freertos submodules you can find the options in freertos directory freertos source portable config directory the full path which has the following files freertosconfig h azure iot config h and core mqtt config h with those options added the following cmake target will be available to integrate into your project az iot middleware freertos using source files similar to the process of building using cmake the library requires a few components in order to build by using only the source files maybe in make files or some proprietary build system the following files are for core library functionality all source files under source all header files under source include all header files under source interface the following includes must be available to the library for compilation freertos kernel includes a freertos port directory a path or paths to the following files freertosconfig h azure iot config h if using the coremqtt port for the mqtt the following needs to be included and built core mqtt config h the source interface directory the port files in ports coremqtt proper compilation and linking of the coremqtt library other than these your choice of libraries for tls and tcp ip are up to you to choose and properly configure compile using amazon freertos we have a guide here docs amazon freertos port md which will help you port and build your amazon freertos project with the azure iot middleware for freertos porting this library by depending on freertos will support any board with a freertos port freertos networking stack support is not as extensive as the os and therefore may need to be created or adapted to work with our library you may use available resources at the freertos plus repo https github com freertos freertos plus tcp and the freertos third party section https github com freertos freertos tree main freertos plus source application protocols network transport freertos plus tcp for integration please see the below sections for help with networking tcp ip and tls the middleware for freertos operates at the mqtt level this requires customers to supply the tls and tcp ip stacks for their devices the binding between the mqtt layer and the tls tcp ip is defined in the azure iot transport interface h https github com azure azure iot middleware freertos blob main source interface azure iot transport interface h for an example to see how that is passed to the middleware please see the code block linked here in our samples https github com azure samples iot middleware freertos samples blob ddb3c6970a2b837b73e60e0d3704ba7346d10c3f demos sample azure iot sample azure iot c l353 l370 authentication azure iot supports x509 certificate and sas key authentication for details on which to use you can refer to this document going over the pros and cons of each https azure microsoft com blog iot device authentication options for more details on the tls requirements of azure iot tls versions certificate requirements supported crypto algorithms etc please see this document here https docs microsoft com azure iot hub iot hub tls support application integration hints for both authentication mechanisms can be found in our samples for x509 please see here https github com azure samples iot middleware freertos samples blob e88539df5e628caa44640dc5ce97079ab87d1327 demos sample azure iot sample azure iot c l271 l285 and for sas keys please see here https github com azure samples iot middleware freertos samples blob e88539df5e628caa44640dc5ce97079ab87d1327 demos sample azure iot sample azure iot c l374 l380 mqtt this feature is in preview and the api is subject to change the middleware uses an mqtt abstraction to allow the substitution of the mqtt library the default implementation is the freertos built coremqtt https github com freertos coremqtt see the port implementation here https github com azure azure iot middleware freertos tree main ports coremqtt if you would like to create a new mqtt abstraction implementation for an mqtt library of your choosing please complete the interface described in this header file https github com azure azure iot middleware freertos blob main source interface azure iot mqtt h port application from azure iot c sdk if you are looking to port your application from the azure iot c sdk https github com azure azure iot sdk c please see our document detailing the process here porting from azure iot c sdk docs azure iot c sdk port md support if you need support please see our support md support md file contributing this project welcomes contributions and suggestions most contributions require you to agree to a contributor license agreement cla declaring that you have the right to and actually do grant us the rights to use your contribution for details visit https cla opensource microsoft com when you submit a pull request a cla bot will automatically determine whether you need to provide a cla and decorate the pr appropriately e g status check comment simply follow the instructions provided by the bot you will only need to do this once across all repos using our cla this project has adopted the microsoft open source code of conduct https opensource microsoft com codeofconduct for more information see the code of conduct faq https opensource microsoft com codeofconduct faq or contact opencode microsoft com mailto opencode microsoft com with any additional questions or comments code style this repository uses uncrustify to enforce coding style the config in the root uncrustify cfg is the same as in the freertos repo note that different versions of uncrustify can produce differently rendered files for that reason just as the freertos repo has declared we use version 0 67 of uncrustify for installation instructions for uncrustify please see their repo here https github com uncrustify uncrustify once you have that installed you can make sure your contributions are rendered correctly by running our uncrustify script bash from the repo root github scripts code style sh fix license azure iot middleware for freertos is licensed under the mit https github com azure azure sdk for c blob main license license trademarks this project may contain trademarks or logos for projects products or services authorized use of microsoft trademarks or logos is subject to and must follow microsoft s trademark brand guidelines https www microsoft com en us legal intellectualproperty trademarks usage general use of microsoft trademarks or logos in modified versions of this project must not cause confusion or imply microsoft sponsorship any use of third party trademarks or logos are subject to those third party s policies | server |
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Next-Generation-Natural-Language-Processing-with-Python | next generation natural language processing with python video this is the code repository for next generation natural language processing with python video https www packtpub com big data and business intelligence next generation natural language processing python video utm source github utm medium repository utm campaign 9781789139938 published by packt https www packtpub com utm source github it contains all the supporting project files necessary to work through the video course from start to finish about the video course the company you work for has accumulated a lot of valuable data from its customers all stored as text and you need to extract some value from that data you ve spent a lot of combined time writing about what they want but no one knows what they have written about and no one has the time to read all the messages this course empowers you to know how to attack this and other text analysis problems to unlock value for your organization you ll start by seeing how nlp can help you extract useful information from large collections of text data and how you can use the latest python libraries for nlp then we ll show you how to solve a practical problem using nlp by building a spam sms detector you ll also learn to convert words into numbers that can be analyzed moving on we ll teach you how to accurately label new documents to get an accuracy score and cluster your data together finally you ll see more advanced analysis and will model text by using vector space models and semantic parsing to break down the components of a sentence you ll also work with neural networks and learn how to write believable text by the end of the course you ll be able to use the latest libraries of nlp in python in your day to day tasks all the code and supporting files for this course are available on github at https github com packtpublishing next generation natural language processing with python h2 what you will learn h2 div class book info will learn text ul li explore the nlp techniques and understand what they can do to help you li turn text into numbers using the new nlp libraries in python li perform different techniques to categorize text data li cluster similar text documents together using gensim li accurately label new documents to get an accuracy score li extract meaning and insights from text data such as vector space models li use semantic parsing to break down the components of a sentence li ul div instructions and navigation assumed knowledge to fully benefit from the coverage included in this course you will need br the course is for python developers researchers and data scientists who are familiar with analysis of different kinds of data but can t easily transfer their understanding of numerical data to textual data knowledge of machine learning and data analysis is required technical requirements recommended hardware requirements br for an optimal experience with hands on labs and other practical activities we recommend the following configuration br ul li operating system mac linux li li processor 2 0ghz quad core li li memory 16gb li li storage 4gb li ul br software requirements ul li python anaconda installation li li jupyter notebooks li li spacy and textblob installed using conda li ul related products natural language processing with python video https www packtpub com big data and business intelligence natural language processing python video utm source github utm medium repository utm campaign 9781787286085 object oriented and functional programming with java 8 integrated course https www packtpub com application development object oriented and functional programming java 8 integrated course utm source github utm medium repository utm campaign 9781788294027 getting started with natural language processing in java video https www packtpub com big data and business intelligence getting started natural language processing java video utm source github utm medium repository utm campaign 9781788474191 | ai |
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dbi202x_2.1-a_vn-database-design-enewspaper | dbi202x 2 1 a vn database design enewspaper p align center a href https funix edu vn gioi thieu funix img src res image funix png width 200 a p this folder contains my submission to the assignment 1 2 designing and implementing database model for a simple e newspaper in the course dbi202x 2 1 a vn databases with sql a part of the path software engineering provided by funix about the project the project documents the entire process of analysing and designing a database model for an online newspaper then based on the devised model implementation of the design should be conducted with ms sql keyword logical database design physical database design erd t sql data model normalization 3nf microsoft sql server functional description a href part1 dbi202x asm1 phupafx07929 pdf target blank part 1 analyse and design database model a this part presents the process with following steps define functional features of an online newspaper as well as non functional ones that affects database design create erd with compliant symbols representing entities attributes and relationships and detailed explanations translate logical design to physical design with tables with primary keys foreign keys and constraints a href part2 dbi202x asm2 phupafx07929 dbi202x asm2 phupafx07929 pdf part 2 implement database design with microsoft sql server a based on the results of part 1 database should be physically implemented with following requirements include the source code t sql script to create database as per the design from part 1 create tables with samples of at least 10 records create a least a trigger stored procedure function index transaction with detailed explanations execute queries using join out join order by string comparison and date time filtering with explanations demo part 1 can be accessed from a href part1 dbi202x asm1 phupafx07929 pdf target blank part 1 analyse and design database model a res image part1 databasedesign png part1 dbi202x asm1 phupafx07929 pdf part 2 can be accessed from a href part2 dbi202x asm2 phupafx07929 dbi202x asm2 phupafx07929 pdf part 2 implement database design with microsoft sql server a res image part2 databaseimplement png part2 dbi202x asm2 phupafx07929 dbi202x asm2 phupafx07929 pdf further enhancement add an english version of files crawl data and inspect real online newspaper websites for better entity design | erd database-design logical-data-model mssql normalization tsql | server |
AWS-objectdetection-API | swagger generated server overview this server was generated by the swagger codegen https github com swagger api swagger codegen project by using the openapi spec https github com swagger api swagger core wiki from a remote server you can easily generate a server stub this is an example of building a swagger enabled flask server this example uses the connexion https github com zalando connexion library on top of flask requirements python 3 5 2 usage to run the server please execute the following from the root directory pip3 install r requirements txt python3 m swagger server and open your browser to here http localhost 8080 nickmoone tutorial 1 0 0 ui your swagger definition lives here http localhost 8080 nickmoone tutorial 1 0 0 swagger json to launch the integration tests use tox sudo pip install tox tox running with docker to run the server on a docker container please execute the following from the root directory bash building the image docker build t swagger server starting up a container docker run p 8080 8080 swagger server | cloud |
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coursera-full-stack-web-dev-react | coursera full stack web development with react the hong kong university of science and technology course 2 front end web development with react assignments node version https img shields io badge node v6 11 0 green svg npm version https img shields io badge npm v6 4 1 red svg react version https img shields io badge react v16 5 2 blue svg this course explores javascript based front end application development and in particular the react library currently ver 16 3 this course will use javascript es6 for developing react application you will also get an introduction to the use of reactstrap for bootstrap 4 based responsive ui design you will be introduced to various aspects of react components you will learn about react router and its use in developing single page applications you will also learn about designing controlled forms you will be introduced to the flux architecture and redux you will explore various aspects of redux and use it to develop react redux powered applications you will then learn to use fetch for client server communication and the use of rest api on the server side a quick tour through react animation support and testing rounds off the course you must have preferably completed the previous course in the specialization on bootstrap 4 or have a working knowledge of bootstrap 4 to be able to navigate this course also a good working knowledge of javascript especially es 5 is strongly recommended | front_end |
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Talkademy-Android-Internship | talkademy android internship information technology internshop | server |
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curriculum | hackyourfuture curriculum here you can find an overview of the hackyourfuture program it gives insight into how our program is structured organized what you can expect from the modules that we teach and last but not least where we teach and where you can find support during the week below you can find an outline of the contents and learning goals per module the headers of the different modules link to the actual repositories that both trainees and mentors will use to go through the material are you a new mentor take a look here https github com hackyourfuture mentors for some practical tips on how to get started are you a new trainee be sure to get started with our welcome guide https github com hackyourfuture curriculum blob master welcome md to see how to prepare for your first session and beyond before you continue if you are an aspiring trainee at hackyourfuture please note that before you can do the application assignment mentioned on the website we expect you to already have done the explore module https github com hackyourfuture explore this module you can do on your own in your own time to see if web development and the hackyourfuture program is right for you we hope it is overview the hackyourfuture curriculum consists of 8 modules spread over 7 months in the following diagram you ll find the sequence of all the modules included curriculum assets curriculum png learning goals if you follow the program you ll learn the following skills ability to build a basic modern full stack web application using nodejs mysql mongodb and react get experience with working in teams using agile principles knowing how to learn and self teach new programming concepts how to use third party libraries apis have a basic understanding of what it means to work on digital products module 1 cli git https github com hackyourfuture cli git cli git assets cli git png welcome to hackyourfuture in this module we are going to go into two things that are maybe not as fun as building websites like you did in the application process but are vital to your success as a developer the command line interface cli and git the command line interface is a way for you to give commands to your computer using text rather than clicking which will be used throughout your developer life as you may have already guessed it is much easier for any code you write to talk to the computer via defined commands rather than trying to navigate a user interface meant for humans in this module we will give you a quick overview how to access the command line interface and what commands you will use the most you ll also be learning git which is software that will allow you to save your folders and files in case they accidentally get deleted or end up corrupt it is the industry standard when talking about version control of your code and we will be using it all the time during the curriculum so that you become familiar with it in the following table you can find the module material week by week week topic reading material assignments 1 command line interface basics git github w1 reading https github com hackyourfuture cli git tree master week1 readme md assignment w1 https github com hackyourfuture cli git tree master week1 makeme md module goals by the end of this module trainees should have a familiarity with and basic understanding of the following understand what a terminal is know what markdown is and how to create a readme navigate the folders of your computer using the command line interface cli understand wat git is used use git commands and be able to create a branch commit changes merge branches module 2 javascript https github com hackyourfuture javascript javascript assets javascript png in this module you ll make a start into the wonderful world of programming we will be using the programming language javascript to do so you ll learn about the basic building blocks of programming loops functions control flow and more advanced javascript specific intricacies consider these as the abc s of programming without them it s impossible to write working software week topic reading material assignments 1 js basics refresher loops naming conventions reading w1 https github com hackyourfuture javascript tree main week1 readme md assignment w1 https github com hackyourfuture javascript tree main week1 makeme md 2 scope modernjs problem solving reading w2 https github com hackyourfuture javascript tree main week2 readme md assignment w2 https github com hackyourfuture javascript tree main week2 makeme md 3 higher order functions closures unit testing reading w3 https github com hackyourfuture javascript tree main week3 readme md assignment w3 https github com hackyourfuture javascript tree main week3 makeme md 4 this keyword constructor functions classes reading w4 https github com hackyourfuture javascript tree main week4 readme md assignment w4 https github com hackyourfuture javascript tree main week4 makeme md module goals by the end of this module trainees should have a familiarity with and basic understanding of the following have an idea of what computer programming is know the basic building blocks of javascript correctly write and use variables functions and loops understand the control flow think like a programmer know what your personal brand is and how to make it professional module 3 browsers https github com hackyourfuture browsers browsers assets browsers png in browsers you ll learn all about how to use javascript within the browser first you ll learn about how html is structured within your browser we call this the document object model dom once you ve gotten the hang of that we ll apply javascript to it in order to manipulate the elements and make our pages more interactive we call this dom manipulation and it s one of the most interesting things about javascript we will finish off with a group project to already combine everything you have learned into your first web application besides the technical part you ll improve your soft skills as well in the presentation module https github com hackyourfuture presentation module this is a two weeks program that will get you out of your comfort zone check the read me file for a more detailed explanation and overview week topic reading material assignments 1 document object model dom dom manipulation reading w1 https github com hackyourfuture browsers tree master week1 readme md assignment w1 https github com hackyourfuture browsers tree master week1 makeme md 2 presentation module week 1 group project week 1 reading w2 https github com hackyourfuture browsers tree master week2 readme md assignment w2 https github com hackyourfuture browsers tree master week2 makeme md 3 presentation module week 2 group project week 2 tech interview reading w3 https github com hackyourfuture browsers tree master week3 readme md no individual assignment module goals in order to successfully complete this module you will need to master the following understand what the document object model dom is use the basics of dom manipulation gain awareness of the inner workings of javascript be able to present your ideas in a professional setting module 4 using api s https github com hackyourfuture usingapis javascript3 assets usingapis png a big part of being a programmer means moving data from one place to another it also means working with other people s software in this module you ll be learning about one of the core things of what makes a web developer working with apis on top of that you ll also learn how to think differently about how you write your programs like in any field once you ve mastered a particular way of doing things you start thinking about how it could be done differently in the end you will also build a full project by yourself that takes data from publicly available api s to create a web application with substance week topic reading material assignments 1 synchronous vs asynchronous callbacks promises the event loop reading w1 https github com hackyourfuture usingapis tree master week1 readme md assignment w1 https github com hackyourfuture usingapis tree master week1 makeme md 2 application programming interface api fetch async await career training ii reading w2 https github com hackyourfuture usingapis tree master week2 readme md assignment w2 https github com hackyourfuture usingapis tree master week2 makeme md 3 individual project tech interview project https github com hackyourfuture usingapis tree master week3 readme md module goals in order to successfully complete this module you will need to master the following differentiate between synchronous and asynchronous operations learn what an application programming interface api is connect with different public apis build a single page application spa work with pre existing code be able to nail an interview module 5 node js https github com hackyourfuture node js node js assets nodejs png any software application consists of at least 2 parts a frontend which is what the user sees and interacts with and a backend this module will expose you to the wonderful world of backend development where you learn all about where your data goes once you ve pressed that submit button you ll be writing web servers and learn how to send users the right feedback week topic reading material assignments 1 client server model http express readings w1 https github com hackyourfuture node js tree master week1 readme md assignment w1 https github com hackyourfuture node js tree master week1 makeme md 2 rest crud api readings w2 https github com hackyourfuture node js tree master week2 readme md assignment w2 https github com hackyourfuture node js tree master week2 makeme md module goals in this module you will get familiar with the world of backend development by the end of it you have learned what is meant by the term backend the client server model what http and rest mean how to create your own web servers with node js using express js how to use the node package manager npm how to use express js to make a restful api how to build a small full stack application module 6 databases https github com hackyourfuture databases databases assets databases png in this module you ll learn all about a fundamental part of any software application how to safely store data so that it can be used on demand you ll learn how to structure and group data so your apps know where to find and store the correct data week topics reading material assignments 1 what s a database entities data structures structured query language sql readings w1 https github com hackyourfuture databases tree master week1 readme md assignment w1 https github com hackyourfuture databases tree master week1 makeme md 2 identifiers relationships domain modeling advanced sql commands readings w2 https github com hackyourfuture databases tree master week2 readme md assignment w2 https github com hackyourfuture databases tree master week2 makeme md 3 normalization transactions sql injection nosql with mongodb readings w3 https github com hackyourfuture databases tree master week3 readme md assignment w3 https github com hackyourfuture databases tree master week3 makeme md 4 nosql advanced commands pagination sql vs nosql readings w4 https github com hackyourfuture databases tree master week4 readme md assignment w4 https github com hackyourfuture databases tree master week4 makeme md module goals in this module you will get familiar with the complexity of storing data by the end of it you have learned what the meaning is of a database entity how to work with structured query language sql learn all about the relational model recognize the basic setup of a database know about mysql as an example of a relational database system learn about nosql databases with an emphasis on mongodb module 7 react https github com hackyourfuture react react js assets react png in these 4 weeks we will go back to the frontend and learn how to make faster more modern user interfaces you ll become more familiar with a frontend technology called react js https reactjs org a javascript library written and maintained by facebook it is mainly used to create dynamic user interfaces changing the data a user sees depending on their input in this module you ll learn about how to think about web pages in a radically different way instead of making separate pages you ll be making components of pages instead of hardcoded content you ll make structures that can hold different data week topics reading material assignments 1 what is react jsx state props deploy a static site readings w1 https github com hackyourfuture react blob master week1 readme md assignment w1 https github com hackyourfuture react blob master week1 makeme md 2 api calls context readings w2 https github com hackyourfuture react blob master week2 readme md assignment w2 https github com hackyourfuture react blob master week2 makeme md 3 client side routing custom hooks readings w3 https github com hackyourfuture react blob master week3 readme md assignment w3 https github com hackyourfuture react blob master week3 makeme md 4 project readings w4 https github com hackyourfuture react blob master week4 readme md module goals by the end of this module trainees should have a familiarity with and basic understanding of the following understand the react way of thinking about user interfaces know the importance and place of state and how to pass it down be able to work with different lifecycle hooks distinguish between class based versus function based components recognize the utility of modularization putting emphasis on writing reusable code components how to handle client side routing module 8 project https github com hackyourfuture project project assets project png in the upcoming 6 weeks you ll be immersed into the web developer life by the end of it you will have created a full stack web application and published it to the internet everything you have learned so far will be combined and put into practice added to that you ll learn some more cutting edge technologies that will prepare you for a great start in a modern software company we will start out with the basics and incrementally add more complexity this way you ll learn how all the pieces of a restful api fit together thereby gaining a deeper understanding of where the backend stops and the frontend starts along with practicing your programming skills you will also be working on your communication skills this is just as important because you need to be able to communicate your ideas and efforts in an easy to understand manner week topic 1 introducing project create wireframes 2 build week 3 build week 4 build week 5 finalize application 6 final presentation module goals by the end of this module trainees should have a familiarity with and basic understanding of the following technical skills how to build a complete full stack application understanding how each part of an application relates to each other what it means to work on a feature how to work with git in a team setting how to write readable code communication skills how to communicate effectively with team members keeping track of your project s progress knowing if you understand what s asked of you how to communicate with non developers about what you re doing learning how to be solutions oriented how to work in a agile setting graduation what s next the final stage is graduation if you ve reached this point you can officially call yourself a junior web developer be proud of yourself at this stage the next step is finding a job hackyourfuture will assist you but the responsibility is still on you we ll work on finding you an internship job in any of the companies we have within our network your job is to keep your skills sharp both technically as non technically next to that be sure to check the following repos your personal brand https github com hackyourfuture yourpersonalbrand br interview preparation https github com hackyourfuture interviewpreparation you can click on any the following addons to keep improving your skills postgrad assets postgrad png https github com hackyourfuture post grad ed qa training assets qa training png https github com hackyourfuture qa training last but not least if you want to improve your english and presentation skills please contact the team and we will make the proper arrangements same if you want to join a fellowship https www hackyourfuture net fellowship group final words learning how to write software is a challenging endeavour however with the right material and structure it is very doable this curriculum is our effort to make your ambition possible you are free to use it for your own benefit if there s anything inside that you think could be better don t hesitate to tell us and or make a pull request good luck with your journey and happy coding the hackyourfuture curriculum is subject to cc by copyright this means you can freely use our materials but just make sure to give us credit for it a rel license href http creativecommons org licenses by 4 0 img alt creative commons license style border width 0 src https i creativecommons org l by 4 0 88x31 png a br this work is licensed under a a rel license href http creativecommons org licenses by 4 0 creative commons attribution 4 0 international license a our curriculum is subject to cc by copyright this means you can freely use our materials but just make sure to give us credit for it | html css javascript git cli nodejs expressjs mysql mongodb react mobx frontend backend hyf curriculum | front_end |
ucu-distributed-databases | distributed databases | server |
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AltSchool-Cloud-Mini-Project- | altschool cloud mini project this is the altschool 3rd semester mini project for the cloud engineering track this projects entails writing a terraform file to create an ec2 instance and also an ansible script to run it below is the questions answered 1 using terraform create 3 ec2 instances and put them behind an elastic load balancer the ec2 instances were created in the ec2 instances tf file but the provider was specified in the provider tf file as aws this is done to maken it more explanatory here s how to create a load balancer define the elastic load balancer resource in terraform code make sure to configure the load balancer to forward incoming traffic to the ec2 instance use terraform commands to plan and apply the terraform code 2 make sure that after applying your plan terraform exports the public ip addresses of the 3 instances to a file called host inventory the ip address of the 3 instances created are stored in the host inventory file 3 get a com ng or any other domain name for yourself be creative this will be a domain you can keep using and set it up with aws route53 within your terraform plan then add an a record for subdomain terraform test that points to your elb ip address this is done on the name com 4 create an ansible script that uses the host inventory file terraform created to install apache set timezone to africa lagos and displays a simple html page that displays content to clearly identify on all 3 ec2 instances | cloud |
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AudioEffectsProject | audio effects project designed by robert lee and declan mcintosh university of victoria may august 2018 project goal the goal of this project was to create an audio player which can take an analog input and perform some transformations pitch and echo on the music then output this modified music with an imbedded speaker this unit should have a convenient user interface and a vibrant display constraints several constraints were placed on the project by the customer the project required the use of the stm32f4 discovery board stm32 board for digital signal processing dsp and logical processing the board and all peripherals on the printed circuit board pcb must be powered solely by a usb port on a computer usb ports will provide 5 v at 0 1 a for low power devices before handshaking negotiations are required 1 the stm32 board must be used to implement pitch shifting and add an echo effect the software must be written in the eclipse integrated development environment ide the pcb must be designed using kicad the designed enclosure see appendix a must be designed in solidworks the pcb and all components must be rohs restriction of hazardous substances compliant a cost constraint of 150 cad was decided by the group repository structure source code is provided in src the embedded c program main c contains the logic driving all the functionality of the board the code is broken down into the following major components timer run interrupt service routine to drive the led 8 by 8 matrix display as described above timer run interrupt service routine to poll input buttons and pitch shifting potentiometer as described above timer run interrupt service routine to read adc audio input and to output processed data using the dac finite state machine logic to determine the current state and to display it on the led matrix display led matrix display backend functions and data to enable the user to fill the display buffer with up to 10 seconds of images played at 25 frames per second there were three major analog circuits within the pcb level shifter circuit since the input signal is sinusoidal centered at 0 v and the analog to digital converter adc accepts a voltage range from 0 v to 3 v the input signal must be shifted up digital to analog converter dac quantization error amelioration circuit since the dac can only output discrete voltages not a continuous range of voltages there are a lot of jagged bumps in the signal these arise as high frequency noise in the signal and are removed with a lowpass filter audio amplification and bandpass filtering prior to output to speaker the lm386 amplifier was operated with a gain of 20 the bandpass filter consists of a dc blocking capacitor and a lowpass filter pcb layouts and manufactured board available in pcbimages detailed report please see audioeffectsprojectreport pdf audioeffectsprojectreport pdf for schematic and pcb layout functional test plan and more detailed information on the project testing validation the testing and validation of the audio effects board required the use of the following equipment oscilloscope with two inputs and probes function signal generator dc power source multimeter audio source 3 5mm male connector laptop the testing and validation of the led board required the use of the following equipment dc power source laptop conclusion recommendations all major objectives of functionality were achieved for the final project with some parts of systems having minor issues and others exceeding requirements adding functionality the project s analog audio subsystems including the second order low pass filter to remove quantization error the level shifting input and the audio signal amplifier using a lm386 functioned as expected with some marginal deviation from theoretical values some noise was noted in the final build of the fx project this noise is expected to be caused by noise in the power supply further the amplification of the audio signal was approximately 15 times gain which was lower than the expected 20 gain of the configuration as designed giving a quiet sound to the output the display requirements were met entirely with an 8 by 8 led matrix for display further the requirements were met with two linear potentiometers used as voltage dividers of the input voltage signal which were used for coarse and fine volume control however as the potentiometers did not have plastic caps affixed when a person would touch the potentiometers some noise would be introduced from the person all software requirements were met button debouncing was performed using an isr routine on a 5ms timer pitch shifting was implemented using potentiometer controlled analog input to determine the magnitude and direction of the frequency shift a circular buffer was used to store and retrieve raw analog adc values to implement echo a finite state machine architecture was implemented to control which effects were being used at any given time finally another circular buffer was implemented to display things on the led array overall all expected and requested functionality was at least minimally met there were some issues with a lack of simulation software embedded into the kicad software the wire used for the connection between the led display and the main audio fx board was 22awg multi strand wire and would often break when handled this was an issue that would had taken a considerable amount of time to fix entirely so the breaks were fixed as they happened during the implementation of pitch shifting there were some issues shifting up as low frequencies resulting from the fast fourier transform of the level shift offset which would produce an impulse like value in the low frequency range as frequencies were shifted up this impulse like value would be shifted past the minimum frequency to be filtered out by the dc blocking capacitor causing it to be audible as a harmonic this was solved by starting the shift at a higher frequency so the impulse value would be unmoved there were several limitations to the final design of our audio fx board firstly the display buffer could only handle 10 seconds of frames at 25 fps this took up 2 kb of memory which can be an issue given the relatively limited 192 kb total memory on the board being shared across an echo buffer fft dependencies and fft output bins 7 the i o while functional for the required testing with only 3 pushbuttons was relatively limited in potential for further functionality without a convoluted user interface the major limitation of the final implementation of the project was the poor maximum volume only amplifying the outputted signal by 15 times gain which made the sound quiet if a successor to our first design was to be built some major changes would be made first another second order active low pass filter would be placed on the input to the adc of the stm board so that higher frequency signals on the input would not be sampled and cause aliasing issues as it wraps around into the maximum frequency of 8 khz signals the stm board is sampling at this would help improve general sound quality of the audio signal to further improve the audio signal a capacitor should be placed between power and ground to reduce ripples in the voltage alternatively all the amplifiers could be powered off a separate voltage regulator which would help provide a clean power source this is expected to reduce the notable noise assumed to be caused by a noisy voltage source knowing that the board is not being put in a manufactured case the components would be chosen as surface mounts rather than mounting holes for wires to connect to offboard components some changes should also be made to confirm a better gain on the audio amplifier to make the music experience much better to the ear these changes would improve the sound quality and make the music listening experience much better additionally using plastic caps on the potentiometers would prevent capacitance noise on the audio line this noise is caused when the conductive metal exterior of the potentiometer is touched by a capacitive disturbance like a person who is not properly grounded finally the number of pull up resistors could be reduced by using the board s internal pull up or pull down resistors reducing the cost and complexity of the pcb references 1 usb power delivery universal serial bus online available http www usb org developers powerdelivery accessed 29 jul 2018 | embedded-c embedded-systems embedded-hal stm32f4 pcb analog-signals c | os |
wwtool | wwtool wwtool is a python library for computer vision research it will provide the following functionalities basic parse and dump functions for object detection datasets detection annotation visualization dataset convert toolkit for object detection dataset dota https captain whu github io dota index html visdrone http aiskyeye com uav bd https jwwangchn cn uav bd requirements python 3 7 pytorch 1 0 cuda 8 0 mmcv https github com open mmlab mmcv installation git clone https github com jwwangchn wwtool git cd wwtool python setup py develop future works x statistic function for object detetion datasets x split large image to sub images results generation tools for dota and visdrone dataset offline data augmentation online data augmentation design structures for bboxes and oriented bboxes structure scripts tests tools wwtool structures structures for object detection cnn cnn modules by pytorch models models for detection classification and segmentation ops c or cython codes for cnn operation datasets create and read data from dataset transforms bbox and image transformation image bbox fileio file operation image file label visualization code for visualization image utils tools for other tasks pid email uart path config progressbar | ai |
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Lectures_DatabaseTechnology | lectures databasetechnology a course on database technology at lund university faculty of engineering | server |
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ProjectWork | projectwork project authority prof dr md liakot ali sir embedded system design final project update by 1 md dedarul hasan project title low cost fire alarm system student pg dip in ict iict buet 2 zubayer al mahmud project title low cost air quality system student pg dip in ict iict buet 3 md sihaubl islam student pg dip in ict iict buet | os |
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stanford_cs224d | stanford cs224d this repo contains problem set solutions and other resources associated with stanford s course cs224d deep learning for natural language processing spring 2016 updates are posted incrementally as we cover material in our meetups so only the solutions to problems that we have already gone over are posted here | ai |
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healthcare-payments-blockchain | project is depreciated code provided for reference only healthcare payments on blockchain this is a prototype useful for exploring blockchain or as a basis for a project it is not intended for production use without further modification and testing in the instamed innovation lab we built a blockchain prototype focused on healthcare payments among providers payers and patients one of the prototype s purposes is to evaluate the value of blockchain in driving a better healthcare payments experience for all stakeholders learn more about the project https developers instamed com healthcare payments blockchain this is a hyperledger fabric https www hyperledger org projects fabric blockchain project that implements the fhir financial module it is built with convector https github com worldsibu convector and follows the fhir spec https www hl7 org fhir a vuejs demo frontend app is included in the project in packages frontend the live demo can be found at https blockchain demo instamed com the live network block browser can be found at https blockchain demo instamed com 8443 a video describing this flow can be found at https vimeo com 325931177 e21834462d prerequisites node https nodejs org en download 8 11 0 docker community edition https www docker com community edition npx https www npmjs com package npx if you are running in ubuntu make sure you meet all the prerequisites for fabric and convector prerequisites ubuntu https docs worldsibu com article 120 install on ubuntu how to run the project detailed instructions for installing on ubuntu can be found here https developers instamed com healthcare payments blockchain install blockchain on linux start from scratch bash install dependencies npm install start the blockchain and the server npm start create some mock data automatically to setup the network npm run mockdata start the server npm run server start you can now run transactions there s a postman file included to help you talk to the endpoints fhir financial postman collection json read first the section identities on the project of this readme you should send transactions all transactions from postman collection json in the order defined before install the remaining views views are associated to databases and fabric doesn t generate them until at least 1 value was saved there npm run views install this will install a development hyperledger fabric network and remove any previous one with hurley https github com worldsibu hurley install the chaincode with the name financial in the network start the nodejs server install couchdb views instantiate the chaincode servers create some mock data for you to get the front end to work properly you need to run the postman added in the repository by configuring the fingerprints correctly go to the postman collection settings and set the value to the variable patientfingerprint to use the same for every transaction after you run npm run user fingerprint home hyperledger fabric network hfc org1 user1 then go and set the value of consortiumadminfingerprint to npm run user fingerprint home hyperledger fabric network hfc org2 user1 and then value of providerfingerprint to npm run user fingerprint home hyperledger fabric network hfc org3 user1 individual tasks just start the server in dev mode npm run server start run this in case after the npm start you close the terminal this won t install the network again just the nodejs server enable the block browser capabilities the front end project makes it possible to visualize blocks in the network as well as its contents blocks images blocks png the current project uses the byzantine browser https github com in the keyhole byzantine browser s api to get the blocks from the transactions to the ledger in realtime for now it uses a fork from worldsibu that enables tls in the server https github com worldsibu byzantine browser make sure you already started the blockchain healthcare payments blockchain with npm start so a blockchain network is running on your computer with hurley https github com worldsibu hurley you have to run npm install twice for the backend and the frontend bash go outside this folder and clone the repo git clone https github com worldsibu byzantine browser git cd byzantine browser npm install cd ui npm install npm run build cd copy the keys from the hyperledger fabric network directory we re assuming here you have installed the byzantine browser in that same parent directory as the blockchain cp home hyperledger fabric network hfc org1 hfc key store replace the env in the root of the byzantine browser folder or create it if it doesn t exist with the information below bash userid user1 network url grpc localhost 7051 event url grpc localhost 7052 use your favorite text editor or use nano nano env copy text from above and right click to paste into terminal control o control x run the byzantine server runapiserver sh explore the project code structure packages financial cc contains the whole smart contract with all its models and controllers packages server contains the server calling the blockchain chaincode config json links the controllers and packages the config for the smart contract dev env a folder containing development environment needed files like the couchdb views and the installation script fhir financial postman collection json import this file into postman to see the queries to the database follow the numbers in the tasks to create a full flow identities on the project payer organizations provider organizations and consumer participants are identified in the blockchain through a fingerprint of a certificate generated from the certificate authority the logic goes as follows a identity user is created in the certificate authority that user is enrolled in the blockchain network in the case of the development environment the identity is registered and then enrolled by default extract the fingerprint from the cert by calling bash i e npm run user fingerprint home hyperledger fabric network hfc org1 user1 npm run user fingerprint home hyperledger fabric network hfc org user the result fingerprint looks like a5 eb e4 1e 8e 86 03 72 00 3f ea ca d2 9d 98 08 ca 70 24 f6 that same fingerprint will be validated when a transaction is signed by a identity from the blockchain be sure to pass it throught postman when registering a new payer organization or consumer participant as a param called fingerprint transactions will validate that the right identity is trying to perform requests for example to create a consumer participant the following json is valid json participant id consumer bob fingerprint a5 eb e4 1e 8e 86 03 72 00 3f ea ca d2 9d 98 08 ca 70 24 f6 you will need two different identities one can be shared between the payer and instamed working on behalf of the patients and the other one for a provider the reason for this is that some data is stored only accessible to some identities look for private collections later in this document therefore a switch in the identity is made go to the postman collection settings and set the value to the variable patientfingerprint to use the same for every transaction after you run npm run user fingerprint home hyperledger fabric network hfc org1 user1 then go and set the value of consortiumadminfingerprint to npm run user fingerprint home hyperledger fabric network hfc org2 user1 and then value of providerfingerprint to npm run user fingerprint home hyperledger fabric network hfc org3 user1 private collections for this project running locally organizations are related to hurley organizations in the followin order organization hurley org abc healthcare org1msp instamed patient org2msp xyz provider org3msp routing the server to query the different collections to query the private collections from the nodejs server you can pass the id of the user s nodes you d like to access any value of packages server src config identities json and the server will route the read query to those nodes i e get https user payer will send a transaction and look for data inside of the payer s nodes i e get https user provider will send a transaction and look for data inside of the provider s nodes i e get https user patient will send a transaction and look for data inside of the patient s nodes a practical example get the fingerprint of the user1 in the org1 bash npm run user fingerprint home hyperledger fabric network hfc org1 user1 a5 eb e4 1e 8e 86 03 72 00 3f ea ca d2 9d 98 08 ca 70 24 f6 be sure that your server is using the identity of user1 in org1 defined in packages server src config identities json every transaction sent from the server will be signed with the user1 in org1 identity so the chaincode can safely check for the fingerprint through the this sender except for the transaction made by the provider mark the payment as made through another certificate in org2 running local environment call the server located in http localhost 8080 check the couchdb server provisioned at http localhost 5084 utils database ch1 financial all docs architecture development environment images devenv png raw true development environment production environment images prodenv png raw true production environment tests run unit tests optional debugging by default the project will run unit tests in debug mode to explore the code go to a new chrome window and put the address to chrome inspect add the server as a connection in the tab top of the screen connection then click the button add connection and add localhost 9229 write debugger in the code line you d like the debugger to stop and run the tests start unit tests bash include npx if you use npx for package management npx lerna run test scope financial cc stream install in the blockchain bash be sure you started the blockchain before with npm run env restart npm run cc start upgrade your chaincode to the blockchain bash i e npm run cc upgrade 1 2 npm run cc upgrade version edits are done by instamed development user | fhir hyperledger-fabric convector typescript healthcare blockchain nodejs payment insttamed | blockchain |
Pewlett-Hackard-Analysis | pewlett hackard analysis overview of the project explain the purpose of this analysis now that bobby has proven his sql chops his manager has given both of you two more assignments determine the number of retiring employees per title and identify employees who are eligible to participate in a mentorship program then you ll write a report that summarizes your analysis and helps prepare bobby s manager for the silver tsunami as many current employees reach retirement age here are the deliverables for this project deliverable 1 the number of retiring employees by title deliverable 2 the employees eligible for the mentorship program deliverable 3 a written report on the employee database analysis readme md to help the manager prepare for the upcoming silver tsunami resources data tools postgresql pgadmin software pgadmin 4 29 python 3 8 3 flask version 1 0 2 deliverable 1 using the erd you created in this module as a reference and your knowledge of sql queries create a retirement titles table that holds all the titles of current employees who were born between january 1 1952 and december 31 1955 because some employees may have multiple titles in the database for example due to promotions you ll need to use the distinct on statement to create a table that contains the most recent title of each employee then use the count function to create a final table that has the number of retirement age employees by most recent job title 1 retrieve the emp no first name and last name columns from the employees table 2 retrieve the title from date and to date columns from the titles table 3 create a new table using the into clause 4 join both tables on the primary key 5 filter the data on the birth date column to retrieve the employees who were born between 1952 and 1955 then order by the employee number 1 https user images githubusercontent com 76136277 107707952 af798800 6c90 11eb 9700 d92a1ab72d92 png 6 copy the query from the employee challenge starter code sql and add it to your employee database challenge sql file 7 retrieve the employee number first and last name and title columns from the retirement titles table these columns will be in the new table that will hold the most recent title of each employee 8 use the distinct on statement to retrieve the first occurrence of the employee number for each set of rows defined by the on clause 9 create a unique titles table using the into clause 10 sort the unique titles table in ascending order by the employee number and descending order by the last date i e to date of the most recent title 2 https user images githubusercontent com 76136277 107707810 79d49f00 6c90 11eb 930f d19052becf1f png 11 write another query in the employee database challenge sql file to retrieve the number of employees by their most recent job title who are about to retire 12 first retrieve the number of titles from the unique titles table 13 then create a retiring titles table to hold the required information 14 group the table by title then sort the count column in descending order 3 https user images githubusercontent com 76136277 107707578 12b6ea80 6c90 11eb 95c1 4154741f2b42 png deliverable 2 using the erd you created in this module as a reference and your knowledge of sql queries create a mentorship eligibility table that holds the current employees who were born between january 1 1965 and december 31 1965 in the employee database challenge sql file write a query to create a mentorship eligibility table that holds the employees who are eligible to participate in a mentorship program 1 retrieve the emp no first name last name and birth date columns from the employees table 2 retrieve the from date and to date columns from the department employee table 3 retrieve the title column from the titles table 4 use a distinct on statement to retrieve the first occurrence of the employee number for each set of rows defined by the on clause 5 create a new table using the into clause 6 join the employees and the department employee tables on the primary key 7 join the employees and the titles tables on the primary key 8 filter the data on the to date column to get current employees whose birth dates are between january 1 1965 and december 31 1965 9 order the table by the employee number 4 https user images githubusercontent com 76136277 107707435 d97e7a80 6c8f 11eb 9284 447666889414 png deliverable 3 a written report on the employee database analysis the analysis should contain the following overview of the analysis results summary overview of the analysis a written report to help the manager prepare for the upcoming silver tsunami results provide a bulleted list with four major points from the two analysis deliverables use images as support where needed from the unique title table there are 90 398 of staff born between january 1 1952 and december 31st 1955 this means the percentage of retirement is very high 7 https user images githubusercontent com 76136277 107712347 43e6e900 6c97 11eb 8cbb db53ee74c6fd png looking at the job titles the company would need to hire lots of people to fill the positions of those retiring the number of people retiring by tittle is attached in the screenshot below 5 https user images githubusercontent com 76136277 107709964 0cc30880 6c94 11eb 8681 f08d298e7446 png there are about 1940 staff born between january 1 1965 and december 31 1965 eligible for the mentorship program this means that there would be few employees to mentor the next generation of employees 6 https user images githubusercontent com 76136277 107712356 477a7000 6c97 11eb 81a6 fd9b2900c1e9 png overall lots of resources will be spent by the employer because of the number of positions that needs to the filled also the employer might need to channel more resources into the mentorship program summary provide high level responses to the following questions then provide two additional queries or tables that may provide more insight into the upcoming silver tsunami 1 how many roles will need to be filled as the silver tsunami begins to make an impact 90 398 roles will need to be filled 7 https user images githubusercontent com 76136277 107712347 43e6e900 6c97 11eb 8cbb db53ee74c6fd png 2 are there enough qualified retirement ready employees in the departments to mentor the next generation of pewlett hackard employees no there are just 1940 employees eligible to participate in the mentorship program 6 https user images githubusercontent com 76136277 107712356 477a7000 6c97 11eb 81a6 fd9b2900c1e9 png | server |
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Data-engineering | data engineering this repository includes the projects related to data engineering such as database data warehouse spark and other big data system | server |
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F4 | f4 fisa cloud engineering artemoderni img width 5940 alt architect src https github com rlagurnws f4 assets 119636839 13bed8b9 91c2 412d b7be d8f85d8f302e | cloud |
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Exp-BLIP | official pytorch implementation of exp blip bmvc 2023 oral exp blip training framework figs overview jpg describe your facial expressions by linking image encoders and large language models br yujian yuan https vipl ict ac cn edu student master 202210 t20221019 123529 html jiabei zeng https vipl ict ac cn edu teacher mastersupvisor 202205 t20220517 35778 html shiguang shan https scholar google com citations user vkzd7miaaaaj hl zh cn br institute of computing technology chinese academy of sciences university of chinese academy of sciences news 2023 9 12 exp blip is decided by bmvc 2023 as a oral presentation br 2023 8 25 exp blip is accepted by bmvc 2023 br 2023 8 20 code and trained models will be released here welcome to watch this repository for the latest updates | ai |
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miniproject_dataexp | miniproject dataexp biomedical engineering miniproject data exploration project overview welcome to miniproject data exploration with use of global terrorism database gtd this miniproject was made as a part of one of biomedical engineering classes the point was to ask oneself 5 question concerning gtd and then answer them using python in this way familiarizing with different libraries and jupyter notebook project instructions 1 project uses those libraries numpy pandas csv pycountry plotly matplotlib seaborn 2 clone the repository to your local pc cd git clone https github com zuz zzz miniproject dataexp cd miniproject dataexp 3 unzip the data br in the repo you ll find a file globalterrorismdb 0718dist zip if you re using linux you can uzip the file by using the command unzip globalterrorismdb 0718dist zip make sure to unzip it in the folder of repository 4 open the jupyter notebook and scroll through jupyter notebook miniproject ipynb | server |
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System-Design-Papers | system design papers a list of papers on system design unix the unix time sharing system paper https people eecs berkeley edu brewer cs262 unix pdf the unix time sharing system a retrospective paper https www bell labs com usr dmr www retro pdf program design in the unix environment paper http harmful cat v org cat v unix prog design pdf unix implementation paper https users soe ucsc edu sbrandt 221 papers history thompson bstj78 pdf general a design methodology for reliable software systems paper https valbonne consulting com papers classic liskov 72 design methodology for reliable software systems pdf on the criteria to be used in decomposing systems into modules paper http repository cmu edu cgi viewcontent cgi article 2979 context compsci end to end arguments in system design paper courses cs vt edu cs5204 fall11 butt lectures end2endargs pdf hints for computer system design paper https www microsoft com en us research wp content uploads 2016 02 acrobat 17 pdf out of the tarpit paper https github com papers we love papers we love blob master design out of the tar pit pdf the emperor s old clothes paper https zoo cs yale edu classes cs422 2010 bib hoare81emperor pdf robustness in complex systems paper https www gribble org papers robust pdf | system-design papers research academic-paper academic-publications | os |
Genie_Logiciel_Software_Engineering | genie logiciel software engineering software engineering project implementing an interface to manage school modules it works with an sql database made by a team of 5 communicating with other teams all working together to make multiple softwares all using the same database the project doesn t work as is it needs other libraries all these files belong to me and my 4 colleagues | server |
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mds | minio design system the minio design system is a design specification for all ui elements used in minio products how to test you can test this package using the embedded storybook please follow these steps 1 do yarn install in the root folder of mds 2 start story book by running yarn storybook 3 open any browser and go to http localhost 6006 build distribution files to create distribution files you can run yarn build or make build in source folder this will create the required dist folders this process is required everytime a new component is created and ready to be distributed license minio design system source is licensed under the gnu agplv3 license that can be found in the license https github com minio mds blob master license file | os |
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NLP-Based-Question-And-Answering-System | nlp based question and answering system simple factoid based question and answering system using webknox api demo console https github com sunilpottumuttu nlp based question and answering system blob master docs img1 png | ai |
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