names
stringlengths 1
98
| readmes
stringlengths 8
608k
| topics
stringlengths 0
442
| labels
stringclasses 6
values |
|---|---|---|---|
tencentcloud-iot-explorer-sdk-embedded-c | c sdk iot explorer c sdk iot explorer c sdk iot explorer c sdk framework https main qcloudimg com raw 583a783ca9189bd3beb9df0991dc0bec jpg sdk ota api api doc c sdk api https github com tencentyun qcloud iot explorer sdk embedded c blob master docs c sdk api e5 8f 8a e5 8f af e5 8f 98 e5 8f 82 e6 95 b0 e8 af b4 e6 98 8e md iot mqtt coap http tls ssl tls dtls bsd socket tcp udp at socket hal sdk cmakelists txt cmake cmakesettings json visual studio cmake cmake build sh linux cmake make settings linux makefile makefile linux makefile device info json debug dev info used off docs sdk external libs mbedtls samples include platform os linux windows freertos nonos tls mbedtls at sdk src sdk tools sdk sdk c sdk cmake makefile docs c sdk build https github com tencentyun qcloud iot explorer sdk embedded c blob master docs c sdk build e7 bc 96 e8 af 91 e7 8e af e5 a2 83 e5 8f 8a e9 85 8d e7 bd ae e9 80 89 e9 a1 b9 e8 af b4 e6 98 8e md sdk docs iot explorer https github com tencentyun qcloud iot explorer sdk embedded c blob master docs iot explorer e5 bc 80 e5 8f 91 e5 b9 b3 e5 8f b0 e5 bf ab e9 80 9f e5 85 a5 e9 97 a8 md | server |
|
BlockchainDemo | building a simple blockchain app in swift blockchain is one of the many disruptive technologies that has just started to gain traction among many people why this is because blockchain is the founding technology for many cryptocurrencies like bitcoin ethereum and litecoin how exactly does blockchain work though in this tutorial i ll be covering everything there is to know about the blockchain technology itself and how to make your own blockchain in swift let s get started for the full tutorial please refer to here https www appcoda com blockchain introduction | blockchain swift ios-app tutorial | blockchain |
data-engineering-with-gcp | code style black https img shields io badge code 20style black 000000 svg https github com psf black linting pylint https img shields io badge linting pylint yellowgreen https github com pycqa pylint data engineering with gcp this repo contains code for the exercises and practical examples from the book data engineering with google cloud platform besides the exercises in the book this repo contains code that launches the gcp services necessary for each de tasks read each directory readme md file to launch these services properly structure this repo contains the following directories simple data engineer pipeline simple data engineer pipeline data doesn t stay in one place usually it moves from one place to another data life cycle this repo contains one diagram example illustrating this basic python etl examples basic python etl examples the power of a data warehouse is delivered when organizations combine multiple sources of information into a single place this repo contains python sample codes that performs etl and loads data into bigquery orchestration with cloud composer and airflow orchestration with cloud composer and airflow cloud composer is an airflow managed service in gcp this directory contains the dags that orchestrate jobs tasks and load data to bigquery data lake with dataproc data lake with dataproc a data lake is a concept similar to a data warehouse but the key difference is what you store in it this directory contains sample codes that process data using hdfs pyspark hive and gcp processing streaming data with pubsub and dataproc processing streaming data with pubsub and dataproc processing streaming data is becoming increasingly popular this directory contains sample codes for streaming data as well as how to apply transformations to it using cloud dataflow and how to analyze it in bigquery | cloud |
|
react-mindee-js | check react mindee documentation https react mindee js netlify app for docs guides api and more introduction react mindee is a very opinionated javascript library that will help you build interactive canvas for computer vision detection use cases there are many powerful javascript frameworks and tools that can help you make an interactive canvas but almost all of them are low level like konva https konvajs org is a 2d canvas framework it is good it is powerful but you may need to write a lot of code this library was made for building frontend interfaces on top of mindee https mindee com document parsing apis and more generally on top of any computer vision detection apis npm https img shields io npm v react mindee js svg https www npmjs com package react mindee js v 1 3 0 tests https github com mindee react mindee js actions workflows cypress workflow yml badge svg branch new version https github com mindee react mindee js actions workflows cypress workflow yml ezgif com video to gif 12 https user images githubusercontent com 41388086 87852820 92045b80 c905 11ea 808e 5a971de2b29f gif features support for image and pdf files interactive shapes with events binding extensible styling api controllable state props and modular architecture zoom in and out feature out of the box magnified zoomed view api compatibility the react sdk is compatible with react 16 8 0 installation and dependencies the easiest way to use react select is to install it from npm and build it into your app with webpack bash npm install save react mindee js or using yarn yarn add react mindee js usage you only need an image and a list of shapes to get started jsx import react from react import annotationviewer from react mindee js import dummyimage from path to your file jpg const dummyshapes id 1 coordinates 0 479 0 172 0 611 0 172 0 611 0 196 0 479 0 196 id 2 coordinates 0 394 0 068 0 477 0 068 0 477 0 087 0 394 0 087 const data image dummyimage shapes dummyshapes function app return annotationviewer data data props data include 3 properties image file to draw in the canvas shapes which expect a list of shapes and orientation of the provided image default 0 onshapeclick return the shape object after a click event onshapemouseenter return the shape object after a mouse enter event onshapemouseleave return the shape object after a mouse leave event onshapemultiselect return the selected shapes using ctrl mouse click move options object of properties to customize default configs id unique id if not provided it will be automatically generated style style object to change container css properties classname apply a classname to the control browser support react mindee supports all recent browsers and works where react works however you may need check the ssr docs ssr section contribute to this repo feel free to use github to submit issues pull requests or general feedback you can also visit our website https mindee com or drop us an email mailto contact mindee com please read our contributing section https github com publicmindee react mindee js blob master contributing md before contributing license mit mindee https mindee com | ocr computer-vision sdk react reactjs javascript | front_end |
iot-device-java | english readme en us md iot hub iot explorer java android sdk iot hub java android sdk internet of things hub iot hub https cloud tencent com document product 634 iot hub sdk sdk java android iot hub java sdk hub hub device java iot hub android sdk hub hub device android iot explorer java android sdk internet of things explorer iot explorer ai https cloud tencent com document product 1081 iot explorer sdk sdk java android iot explorer java sdk explorer explorer device java iot explorer android sdk explorer explorer device android iot explorer android sdk explorer explorer device face iot explorer android sdk explorer explorer device video iot explorer android sdk explorer explorer device tme sdk sdk device sdk https github com tencentyun iot device java wiki device sdk | server |
|
iot | runboat https img shields io badge runboat try 20me 875a7b png https runboat odoo community org builds repo oca iot target branch 14 0 pre commit status https github com oca iot actions workflows pre commit yml badge svg branch 14 0 https github com oca iot actions workflows pre commit yml query branch 3a14 0 build status https github com oca iot actions workflows test yml badge svg branch 14 0 https github com oca iot actions workflows test yml query branch 3a14 0 codecov https codecov io gh oca iot branch 14 0 graph badge svg https codecov io gh oca iot translation status https translation odoo community org widgets iot 14 0 svg badge svg https translation odoo community org engage iot 14 0 utm source widget do not modify above this line iot internet of thing modules do not modify below this line prettier ignore start addons available addons addon version maintainers summary iot amqp oca iot amqp oca 14 0 1 0 0 integrate iot outputs with amqp iot input oca iot input oca 14 0 1 0 1 etobella https github com etobella png size 30px https github com etobella iot input module iot key employee rfid iot key employee rfid 14 0 1 0 0 use an employee rfid card as an iot key iot oca iot oca 14 0 1 0 0 iot base module iot option oca iot option oca 14 0 1 0 0 allow to define custom field for iot iot output oca iot output oca 14 0 1 0 2 iot allow multiple outputs iot rule iot rule 14 0 1 0 1 define iot rules keys that control inputs iot template oca iot template oca 14 0 1 0 1 iot module for managing templates end addons prettier ignore end licenses this repository is licensed under agpl 3 0 license however each module can have a totally different license as long as they adhere to odoo community association oca policy consult each module s manifest py file which contains a license key that explains its license oca or the odoo community association http odoo community org is a nonprofit organization whose mission is to support the collaborative development of odoo features and promote its widespread use | server |
|
style-guide | brainly style guide cover png this project is a living style guide of all basic front end components used at brainly documentation documentation is an esential part of this project you can see its latest version on styleguide brainly com https styleguide brainly com new version of the docs is deployed with every merge to master you can also browse older versions by changing version number in the url documentation is splitted into four sections basics colors fonts icons simple components components complex components containers components that host other components interactive interactive version of the style guide docs that we are experimenting with storybook current version of storybook is hosted under following dev url styleguide brainly com https styleguide brainly com how to use it all components can be used in both html and jsx in both cases you have to include main css file as described on the main docs page https styleguide brainly com in the head section of your page in case of html you just have to follow style guide markup which you can easily copy by clicking on any component in the docs if you prefer to use react instead you ll have to add this repository as a dependency in package json and import components into your jsx file supported browsers we officially support the following browsers based on real user trafic from our analytics browser versions google chrome 28 safari 7 samsung internet 1 1 yabrowser 15 android webview 30 firefox 42 ucbrowser 8 android browser 4 0 opera 33 opera mini 7 edge 12 note you can find all recent stats in our analytics https analytics google com analytics web report visitors browser a85994882w128325453p132056054 internal contributing we welcome all issue reports and pull requests if you d like to contribute please start with this doc contributing md caveats package s3 has been forked to brainly organization one of dependencies of this package graceful fs was causing our builds to fail since this package is no longer maintained we decided to fork it and make needed updates as a long term solution we need to switch s3 package to something more up to date codemods we created a cli tool that runs codemods with jscodeshift https github com facebook jscodeshift to batch refactor code usage sh yarn sg codemod options where options are help display help dry dry run no changes are made to files glob use glob pattern to match files jscodeshift pass options directly to jscodeshift read more here codemods md | style-guide css bem-methodology frontend-components react-components | front_end |
database2pojo | database2pojo simple database to pojo generator need generic jdbc connection tested with sqlserver jtds jdbc driver create source files on tmp directory for windows need to change this path create annotated entities no mapping between entities simple pojo create dao based on phoenix framework create manager based on phoenix framework create context xml fragment file based on phoenix framework | server |
|
sim-c | sim c p align center img src https raw githubusercontent com cimplec sim c master images logo png height 200 p github https img shields io github license cimplec sim c https github com cimplec sim c blob master license github stars https img shields io github stars cimplec sim c style plastic github contributors https img shields io github contributors cimplec sim c prs welcome https img shields io badge prs welcome brightgreen svg github last commit https img shields io github last commit cimplec sim c github issues https img shields io github issues cimplec sim c color darkgreen github closed issues https img shields io github issues closed cimplec sim c color red github closed pull requests https img shields io github issues pr closed cimplec sim c color darkred what is sim c p align justify often people have trouble programming in c especially beginners due to its low level syntax and unavailability of stable third party libraries we present sim c a high level front end for c which creates a dynamically typed syntax for c users can write code in this high level syntax and then compile it to optimized c code sim c does not process the code and simply translates it to c thus there is no possibility of the code running slowly so with sim c users can write code faster using the high level syntax and at the same time be able to harness the power and speed of a c program p pipeline p align center img src https raw githubusercontent com cimplec sim c master images simc pipeline png p important links 1 a href https cimplec github io docs official documentation a 2 a href https github com cimplec sim c wiki simc wiki a new developers p align justify new developers can join simc new devs slack channel where they can get help from core developers on their issues link to the slack channel a href https join slack com t sim cnewdevs shared invite zt ky44bntx whiw41q1nam4amktmggscg simc new devs slack a p oss programs 1 hacktoberfest 2020 2 kwoc kharagpur winter of code 2020 3 swoc script winter of code 2021 contributor blogs follow this link https github com cimplec sim c blob master blogs md to read blogs written by contributors after completing various oss programs license sim c is licensed under gnu general public license gpl v3 0 license https github com cimplec sim c blob master license | c compiler swoc swoc2021 python | front_end |
ELEC4601_lab | elec4601 lab simulink model for elec4601 digital and embedded system design s2 2018 unsw | os |
|
PandoraAI | p align center img alt web client demo src demos client png v 3 p pandoraai pandoraai is a web chat client powered by node chatgpt api https github com waylaidwanderer node chatgpt api allowing users to easily chat with multiple ai systems while also offering support for custom presets with its seamless and convenient design pandoraai provides an engaging conversational ai experience built using nuxt 3 https v3 nuxtjs org a vue 3 framework you may also use pandoraai with other api server implementations as long as the endpoints are compatible features chat with all the ai that node chatgpt api supports including gpt 3 5 turbo text davinci 003 chatgpt and bing supports creating multiple presets for each client client settings demos client settings png choose between different clients or custom presets client dropdown demos client dropdown png everything is stored in local storage so you can use this client without an account and it can be imported or exported to other devices details summary strong nuxt 3 setup strong summary look at the nuxt 3 documentation https nuxt com docs getting started introduction to learn more setup make sure to install the dependencies bash yarn yarn install npm npm install pnpm pnpm install development server start the development server on http localhost 3000 bash npm run dev production build the application for production bash npm run build locally preview production build bash npm run preview check out the deployment documentation https nuxt com docs getting started deployment for more information details setup 1 follow the nuxt 3 setup instructions above 2 run the api server from node chatgpt api https github com waylaidwanderer node chatgpt api api server 3 copy env example to env and fill in the api base url variable with the url of the api server 4 run npm run dev to start the development server or npm run build to build the application for production 1 if you see an empty white page after pulling the latest changes run nuxi upgrade force first and then npm run dev contributing if you d like to contribute to this project please create a pull request with a detailed description of your changes license this project is licensed under the mit license | ai app bing chatgpt chatgpt-api client gpt-3 nuxt openai openai-api vue web-client | os |
nanoFramework.IoT.Device | yourfirstpr https img shields io badge first timers only friendly blue svg https github com nanoframework github blob main contributing md discord https img shields io discord 478725473862549535 svg logo discord logocolor white label discord color 7289da https discord gg gcybu8t nanoframework logo https github com nanoframework home blob main resources logo nanoframework repo logo png welcome to the nanoframework iot device library repository this repository contains bindings which can be sensors small screen and anything else that you can connect to your nanoframework chip most of the bindings have been migrated from net iot repository https github com dotnet iot tree main src devices not all the bindings make sense to migrate to net nanoframework so the effort of migration has been placed into devices that can work with net nanoframework please note as well that some devices have been migrated without been tested so they main contain problems list of devices devices nuget https img shields io nuget v nanoframework iot device uln2003 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device uln2003 28byj 48 stepper motor 5v 4 phase 5 wire uln2003 driver board devices uln2003 readme md nuget https img shields io nuget v nanoframework iot device a4988 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device a4988 4 wire stepper motor a4988 driver board devices a4988 readme md nuget https img shields io nuget v nanoframework iot device ad5328 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ad5328 ad5328 digital to analog convertor devices ad5328 readme md nuget https img shields io nuget v nanoframework iot device ads1115 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ads1115 ads1115 analog to digital converter devices ads1115 readme md nuget https img shields io nuget v nanoframework iot device adxl343 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device adxl343 adxl343 accelerometer devices adxl343 readme md nuget https img shields io nuget v nanoframework iot device adxl345 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device adxl345 adxl345 accelerometer devices adxl345 readme md nuget https img shields io nuget v nanoframework iot device adxl357 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device adxl357 adxl357 accelerometer devices adxl357 readme md nuget https img shields io nuget v nanoframework iot device ags01db svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ags01db ags01db mems voc gas sensor devices ags01db readme md nuget https img shields io nuget v nanoframework iot device ahtxx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ahtxx aht10 15 20 temperature and humidity sensor modules devices ahtxx readme md nuget https img shields io nuget v nanoframework iot device ak8963 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ak8963 ak8963 magnetometer devices ak8963 readme md nuget https img shields io nuget v nanoframework iot device am2320 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device am2320 am2320 temperature and humidity sensor devices am2320 readme md nuget https img shields io nuget v nanoframework iot device amg88xx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device amg88xx amg8833 amg8834 amg8853 amg8854 infrared array sensor family devices amg88xx readme md nuget https img shields io nuget v nanoframework iot device apa102 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device apa102 apa102 double line transmission integrated control led devices apa102 readme md nuget https img shields io nuget v nanoframework iot device at24cxx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device at24cxx at24c32 at24c64 at24c128 at24c256 family of i2c eeprom devices at24cxx readme md nuget https img shields io nuget v nanoframework iot device axp192 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device axp192 axp192 enhanced single cell li battery and power system management ic devices axp192 readme md nuget https img shields io nuget v nanoframework iot device bh1745 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device bh1745 bh1745 rgb sensor devices bh1745 readme md nuget https img shields io nuget v nanoframework iot device bh1750fvi svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device bh1750fvi bh1750fvi ambient light sensor devices bh1750fvi readme md nuget https img shields io nuget v nanoframework iot device bmm150 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device bmm150 bmm150 magnetometer devices bmm150 readme md nuget https img shields io nuget v nanoframework iot device bmp180 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device bmp180 bmp180 barometer altitude and temperature sensor devices bmp180 readme md nuget https img shields io nuget v nanoframework iot device bmxx80 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device bmxx80 bmp280 bme280 bme680 device family devices bmxx80 readme md nuget https img shields io nuget v nanoframework iot device bno055 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device bno055 bno055 inertial measurement unit devices bno055 readme md nuget https img shields io nuget v nanoframework iot device bq2579x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device bq2579x bq2579x bq25792 bq25798 buck boost battery charger devices bq2579x readme md nuget https img shields io nuget v nanoframework iot device button svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device button button devices button readme md nuget https img shields io nuget v nanoframework iot device buzzer svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device buzzer buzzer piezo buzzer controller devices buzzer readme md nuget https img shields io nuget v nanoframework iot device ccs811 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ccs811 ccs811 gas sensor devices ccs811 readme md nuget https img shields io nuget v nanoframework iot device characterlcd svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device characterlcd character lcd liquid crystal display devices characterlcd readme md nuget https img shields io nuget v nanoframework iot device charlieplex svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device charlieplex charlieplex segment binding devices charlieplex readme md nuget https img shields io nuget v nanoframework iot device chsc6540 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device chsc6540 chsc6540 touch screen controller devices chsc6540 readme md nuget https img shields io nuget v nanoframework iot device dac63004 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device dac63004 dac63004 dac63004w ultra low power quad channel 12 bit smart dac with i c spi and pwm devices dac63004 readme md nuget https img shields io nuget v nanoframework iot device dcmotor svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device dcmotor dc motor controller devices dcmotor readme md nuget https img shields io nuget v nanoframework iot device dhcpserver svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device dhcpserver dhcp server devices dhcpserver readme md nuget https img shields io nuget v nanoframework iot device dhtxx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device dhtxx dht10 dht11 dht12 dht21 dht22 digital output relative humidity temperature sensor module devices dhtxx readme md nuget https img shields io nuget v nanoframework iot device dhtxx esp32 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device dhtxx esp32 dht10 dht11 dht12 dht21 dht22 for esp32 using rmt digital output relative humidity temperature sensor module devices dhtxx esp32 readme md nuget https img shields io nuget v nanoframework iot device liquidlevel svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device liquidlevel digital liquid level switch devices liquidlevel readme md nuget https img shields io nuget v nanoframework iot device ds1302 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ds1302 ds1302 realtime clock devices ds1302 readme md nuget https img shields io nuget v nanoframework iot device ds1621 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ds1621 ds1621 1 wire digital thermometer with programmable resolution devices ds1621 readme md nuget https img shields io nuget v nanoframework iot device ds18b20 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ds18b20 ds18b20 temperature sensor devices ds18b20 readme md nuget https img shields io nuget v nanoframework iot device epaper svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device epaper epaper drivers for net nanoframework devices epaper readme md nuget https img shields io nuget v nanoframework iot device ft6xx6x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ft6xx6x ft6xx6x ft6336gu touch screen controller devices ft6xx6x readme md nuget https img shields io nuget v nanoframework iot device atmodem svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device atmodem generic at modem sim800 and sim7070 sim7080 sim7090 dual mode wireless module catm lte modems devices atmodem readme md nuget https img shields io nuget v nanoframework iot device shiftregister svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device shiftregister generic shift register devices shiftregister readme md nuget https img shields io nuget v nanoframework iot device hcsr04 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device hcsr04 hc sr04 ultrasonic ranging module devices hcsr04 readme md nuget https img shields io nuget v nanoframework iot device hcsr04 esp32 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device hcsr04 esp32 hc sr04 for esp32 with rmt ultrasonic ranging module devices hcsr04 esp32 readme md nuget https img shields io nuget v nanoframework iot device hcsr501 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device hcsr501 hc sr501 pir motion sensor devices hcsr501 readme md nuget https img shields io nuget v nanoframework iot device hdc1080 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device hdc1080 hdc1080 temperature and humidity sensor devices hdc1080 readme md nuget https img shields io nuget v nanoframework iot device hmc5883l svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device hmc5883l hmc5883l 3 axis digital compass devices hmc5883l readme md nuget https img shields io nuget v nanoframework iot device hts221 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device hts221 hts221 capacitive digital sensor for relative humidity and temperature devices hts221 readme md nuget https img shields io nuget v nanoframework iot device hx711 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device hx711 hx711 m5stack weight devices hx711 readme md nuget https img shields io nuget v nanoframework iot device ina219 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ina219 ina219 bidirectional current power monitor devices ina219 readme md nuget https img shields io nuget v nanoframework iot device multiplexing svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device multiplexing iot device multiplexing devices multiplexing readme md nuget https img shields io nuget v nanoframework iot device common numberhelper svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device common numberhelper iot device numberhelper devices numberhelper readme md nuget https img shields io nuget v nanoframework iot device common weatherhelper svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device common weatherhelper iot device weatherhelper devices weatherhelper readme md nuget https img shields io nuget v nanoframework iot device ip5306 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ip5306 ip5306 power management devices ip5306 readme md nuget https img shields io nuget v nanoframework iot device keymatrix svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device keymatrix key matrix devices keymatrix readme md nuget https img shields io nuget v nanoframework iot device sparkfunlcd svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device sparkfunlcd lcd library for sparkfun rgb serial open lcd display sizes 20x4 or 16x2 with i2c connection devices sparkfunlcd readme md nuget https img shields io nuget v nanoframework iot device lidarlitev3 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device lidarlitev3 lidarlitev3 lidar time of flight sensor devices lidarlitev3 readme md nuget https img shields io nuget v nanoframework iot device lm75 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device lm75 lm75 digital temperature sensor devices lm75 readme md nuget https img shields io nuget v nanoframework iot device lp3943 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device lp3943 lp3943 led driver devices lp3943 readme md nuget https img shields io nuget v nanoframework iot device lps25h svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device lps25h lps25h piezoresistive pressure and thermometer sensor devices lps25h readme md nuget https img shields io nuget v nanoframework iot device lsm9ds1 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device lsm9ds1 lsm9ds1 3d accelerometer gyroscope and magnetometer devices lsm9ds1 readme md nuget https img shields io nuget v nanoframework iot device atomqrcode svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device atomqrcode m5stack atom qr code reader devices atomqrcode readme md nuget https img shields io nuget v nanoframework iot device max31856 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device max31856 max31856 cold junction compensated thermocouple to digital converter devices max31856 readme md nuget https img shields io nuget v nanoframework iot device max31865 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device max31865 max31865 resistance temperature detector amplifier devices max31865 readme md nuget https img shields io nuget v nanoframework iot device max44009 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device max44009 max44009 ambient light sensor devices max44009 readme md nuget https img shields io nuget v nanoframework iot device max7219 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device max7219 max7219 led matrix driver devices max7219 readme md nuget https img shields io nuget v nanoframework iot device mbi5027 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mbi5027 mbi5027 16 bit shift register with error detection devices mbi5027 readme md nuget https img shields io nuget v nanoframework iot device mcp23xxx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mcp23xxx mcp23xxx mcp23008 mcp23009 mcp23017 mcp23018 i o expander device family devices mcp23xxx readme md nuget https img shields io nuget v nanoframework iot device mcp25xxx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mcp25xxx mcp25xxx mcp2515 mcp2565 device family can bus devices mcp25xxx readme md nuget https img shields io nuget v nanoframework iot device mcp3xxx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mcp3xxx mcp3001 mcp3002 mcp3004 mcp3008 mcp3201 mcp3202 mcp3204 mcp3208 mcp3301 mcp3302 mcp3304 family of analog to digital converters devices mcp3xxx readme md nuget https img shields io nuget v nanoframework iot device mcp3428 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mcp3428 mcp3428 analog to digital converter i2c devices mcp3428 readme md nuget https img shields io nuget v nanoframework iot device mcp7940xx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mcp7940xx mcp7940xx mcp79400 mcp79401 mcp79402 i2c real time clock calendar with sram devices mcp7940xx readme md nuget https img shields io nuget v nanoframework iot device mcp960x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mcp960x mcp960x mcp9600 mcp9601 device family of cold junction compensated thermocouple to digital converter devices mcp960x readme md nuget https img shields io nuget v nanoframework iot device mcp9808 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mcp9808 mcp9808 digital temperature sensor devices mcp9808 readme md nuget https img shields io nuget v nanoframework iot device mfrc522 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mfrc522 mfrc522 rfid reader devices mfrc522 readme md nuget https img shields io nuget v nanoframework iot device mhz19b svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mhz19b mh z19b co2 sensor devices mhz19b readme md nuget https img shields io nuget v nanoframework iot device mlx90614 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mlx90614 mlx90614 infra red thermometer devices mlx90614 readme md nuget https img shields io nuget v nanoframework iot device modbus svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device modbus modbus machine to machine communication protocol devices modbus readme md nuget https img shields io nuget v nanoframework iot device relay4 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device relay4 module and unit 4 relay i2c relay devices relay4 readme md nuget https img shields io nuget v nanoframework iot device mpr121 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mpr121 mpr121 proximity capacitive touch sensor controller devices mpr121 readme md nuget https img shields io nuget v nanoframework iot device mpu9250 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mpu9250 mpu6050 mpu6500 mpu9250 gyroscope accelerometer temperature and magnetometer mpu9250 only devices mpu9250 readme md nuget https img shields io nuget v nanoframework iot device mpu6886 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device mpu6886 mpu6886 accelerometer and gyroscope devices mpu6886 readme md nuget https img shields io nuget v nanoframework iot device ms5611 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ms5611 ms5611 in gy 63 module temperature and pressure sensor devices ms5611 readme md nuget https img shields io nuget v nanoframework iot device nrf24l01 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device nrf24l01 nrf24l01 single chip 2 4 ghz transceiver devices nrf24l01 readme md nuget https img shields io nuget v nanoframework iot device pca95x4 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device pca95x4 pca95x4 pca9534 pca9534a pca9554 pca9554a i2c gpio expander devices pca95x4 readme md nuget https img shields io nuget v nanoframework iot device pcd8544 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device pcd8544 pcd8544 48 84 pixels matrix lcd famous nokia 5110 screen devices pcd8544 readme md nuget https img shields io nuget v nanoframework iot device pcx857x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device pcx857x pcx857x pcf8574 pcf8575 pca8574 pca8575 nxp ti gpio expansion devices pcx857x readme md nuget https img shields io nuget v nanoframework iot device pn5180 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device pn5180 pn5180 rfid and nfc reader devices pn5180 readme md nuget https img shields io nuget v nanoframework iot device pn532 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device pn532 pn532 rfid and nfc reader devices pn532 readme md nuget https img shields io nuget v nanoframework iot device qtrsensors svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device qtrsensors qtr sensors pololu qtr reflectance sensors devices qtrsensors readme md nuget https img shields io nuget v nanoframework iot device rotaryencoder svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device rotaryencoder quadrature rotary encoder devices rotaryencoder readme md nuget https img shields io nuget v nanoframework iot device rotaryencoder esp32 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device rotaryencoder esp32 quadrature rotary encoder esp32 devices rotaryencoder esp32 readme md nuget https img shields io nuget v nanoframework iot device radioreceiver svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device radioreceiver radio receiver devices radioreceiver readme md nuget https img shields io nuget v nanoframework iot device radiotransmitter svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device radiotransmitter radio transmitter devices radiotransmitter readme md nuget https img shields io nuget v nanoframework iot device rtc svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device rtc realtime clock devices rtc readme md nuget https img shields io nuget v nanoframework iot device card svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device card rfid shared elements devices card readme md nuget https img shields io nuget v nanoframework iot device scd30 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device scd30 sensirion scd30 particulate matter sensor devices scd30 readme md nuget https img shields io nuget v nanoframework iot device sen5x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device sen5x sensirion sen5x series module devices sen5x readme md nuget https img shields io nuget v nanoframework iot device sps30 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device sps30 sensirion sps30 particulate matter sensor devices sps30 readme md nuget https img shields io nuget v nanoframework iot device servomotor svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device servomotor servo motor devices servomotor readme md nuget https img shields io nuget v nanoframework iot device sht3x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device sht3x sht3x sht30 sht31 sht35 temperature humidity sensor devices sht3x readme md nuget https img shields io nuget v nanoframework iot device shtc3 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device shtc3 shtc3 temperature humidity sensor devices shtc3 readme md nuget https img shields io nuget v nanoframework iot device si7021 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device si7021 si7021 temperature humidity sensor devices si7021 readme md nuget https img shields io nuget v nanoframework iot device sn74hc595 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device sn74hc595 sn74hc595 8 bit shift register devices sn74hc595 readme md nuget https img shields io nuget v nanoframework iot device ssd13xx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ssd13xx ssd13xx ssd1306 ssd1327 ssh1106 oled display family devices ssd13xx readme md nuget https img shields io nuget v nanoframework iot device swarmtile svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device swarmtile swarm tile devices swarmtile readme md nuget https img shields io nuget v nanoframework system buffers binary binaryprimitives svg label nuget style flat logo nuget https www nuget org packages nanoframework system buffers binary binaryprimitives system buffers binary binaryprimitives devices system buffers binary binaryprimitives readme md nuget https img shields io nuget v nanoframework system device model svg label nuget style flat logo nuget https www nuget org packages nanoframework system device model system device model attributes for device bindings devices system device model readme md nuget https img shields io nuget v nanoframework system diagnostics stopwatch svg label nuget style flat logo nuget https www nuget org packages nanoframework system diagnostics stopwatch system diagnostics stopwatch and delayhelper devices system diagnostics stopwatch readme md nuget https img shields io nuget v nanoframework system drawing svg label nuget style flat logo nuget https www nuget org packages nanoframework system drawing system drawing devices system drawing readme md nuget https img shields io nuget v nanoframework system numerics svg label nuget style flat logo nuget https www nuget org packages nanoframework system numerics system numerics devices system numerics readme md nuget https img shields io nuget v nanoframework iot device tcs3472x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device tcs3472x tcs3472x tcs34721 tcs34723 tcs34725 tcs34727 sensors devices tcs3472x readme md nuget https img shields io nuget v nanoframework iot device tlc1543 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device tlc1543 tlc1543 10 bit adc with 11 input channels devices tlc1543 readme md nuget https img shields io nuget v nanoframework iot device tm1637 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device tm1637 tm1637 segment display devices tm1637 readme md nuget https img shields io nuget v nanoframework iot device tsl256x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device tsl256x tsl256x tsl2560 tsl2561 illuminance sensor devices tsl256x readme md nuget https img shields io nuget v nanoframework iot device vl53l0x svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device vl53l0x vl53l0x distance sensor devices vl53l0x readme md nuget https img shields io nuget v nanoframework iot device ws28xx esp32 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ws28xx esp32 ws28xx ws2812b ws2815b ws2808 sk6812 neo pixel for esp32 using rmt led drivers devices ws28xx esp32 readme md nuget https img shields io nuget v nanoframework iot device ws28xx svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device ws28xx ws28xx ws2812b ws2815b ws2808 sk6812 neo pixel using spi led drivers devices ws28xx readme md nuget https img shields io nuget v nanoframework iot device yx5300 svg label nuget style flat logo nuget https www nuget org packages nanoframework iot device yx5300 yx5200 yx5300 mp3 player devices yx5300 readme md devices folder structure devices devices contains devices that were cleaned up and should be working out of the box src devices generated src devices generated contains devices that were automatically ported from the net core iot libraries devices https github com dotnet iot tree main src devices they might not work or compile at this point but are a good starting point if you need support for one of the devices contained here but missing from the devices devices folder src nanoframework iot device codeconverter src nanoframework iot device codeconverter contains the tool used to generate the devices from the net core iot libraries devices https github com dotnet iot tree main src devices other folders in src src contain nanoframework projects that you can reference when creating updating devices with provide functionality such as a stopwatach a delayhelper binaryprimitives or various system device model attributes contributing important if you plan to clean up the code in src devices generated src devices generated please copy your work to the devices devices folder as the content of src devices generated src devices generated will be overwritten by the generator tool please check the detail list of tips and tricks tips trick md to facilitate the migration the generator takes care of some heavy lifting but there is always some manual adjustments needed we are using the following structure for the bindings text devices binding1 samples binding1 samples nfproj assicatefile cs program cs test bindinga test nfproj associatedtestfile cs binding1 nfproj binding1 nuspec version json otherfiles cs otherfiles anythingelse readme md using the code converter the code converter allows to facilitate migration of net core net 5 0 code into net nanoframework more information and how to customize and run it here src nanoframework iot device codeconverter readme md porting a net nanoframework binding to net iot did you know that with minimal efforts you can make a nanoframework binding available for net iot as well more information and guidance on the steps to take can be found in this article migrate binding to dotnetiot md feedback and documentation for documentation providing feedback issues and finding out how to contribute please refer to the home repo https github com nanoframework home join our discord community here https discord gg gcybu8t credits the list of contributors to this project can be found at contributors https github com nanoframework home blob main contributors md license the nanoframework class libraries are licensed under the mit license license md code of conduct this project has adopted the code of conduct defined by the contributor covenant to clarify expected behavior in our community for more information see the net foundation code of conduct https dotnetfoundation org code of conduct net foundation this project is supported by the net foundation https dotnetfoundation org | hacktoberfest iot dotnet csharp drivers spi i2c pwm led servo-motor sensor screen lcd | server |
RIS | his p align center img src https img shields io github license ramadanibrahem98 ris style plastic logo appveyor color blue alt license img src https img shields io github last commit ramadanibrahem98 ris style plastic logo appveyor alt last commit p table of contents about the project about the project toolbox toolbox setting up the environment setting up the environment working demo of the system working demo of the system our team our team acknowledgements acknowledgements about about about the project this is a radiology information system mvp project implementing the core concepts of database engineering toolbox html css javascript jquery bootstrap flask flask wtf flask sqlalchemy flask mail flask bcrypt flask loginmanger setting up the environment 1 clone the repo https sh git clone https github com ramadanibrahem98 ris git ssh sh git clone git github com ramadanibrahem98 ris git 1 create a virtual environment optional sh python m venv ris 1 activate the virtual environment using cmd sh ris scripts activate using powershell sh ris scripts activate ps1 using bash sh source ris bin activate 1 install the requirements and dependancies sh pip install r requirements txt 1 set up the environment variables in the ris init py file with your own secret key is a random secret key used to log sessions sqlalchemy database uri is the uri of your database mail username your gmail account mail password this is an app password assigend from google you can get one from here https security google com settings security apppasswords 1 create the database and add an admin to the system write in the python shell in the app py folder sh from ris import bcrypt db from ris models import user db create all hashed password bcrypt generate password hash your password here decode utf 8 user user username admin user name email anything a com password hashed password db session add user db session commit 1 run the application sh python app py 1 view the application on localhost http localhost 5000 working demo of the system you can find a video demo here https youtu be jkofdynr8gi our team ramadan ibrahem linkedin shield https www linkedin com in ramadanibrahem muhammad seyam linkedin shield https www linkedin com in mohamed seyam 91b3b81b7 muhammad abd elaziz linkedin shield https www linkedin com in mohamed ahmed abdelaziz acknowledgements we want to thank stackoverflow community https stackoverflow com cory m schafer https www youtube com user schafer5 about this project is a part of the sbe306 course computer systems 3 in the systems and biomedical engineering department cairo university http bmes cufe edu eg dr ahmed kandil ta ayman anwar linkedin shield https img shields io badge linkedin black svg style flat square logo linkedin colorb 555 | python flask sqlalchemy | server |
create-mern-app | mit license https img shields io github license mernjs create mern app https github com mernjs create mern app blob master license npm version https img shields io npm v create mernjs app https www npmjs com package create mernjs app npm downloads https img shields io npm dy create mernjs app https www npmjs com package create mernjs app follow https img shields io github followers mernjs style social https github com mernjs tab followers watch https img shields io github watchers mernjs create mern app style social https github com mernjs create mern app watchers fork https img shields io github forks mernjs create mern app style social https github com mernjs create mern app network members star https img shields io github stars mernjs create mern app style social https github com mernjs create mern app stargazers p align center a target blank href https mernjs github io create mern app rel noopener img src https mernjs github io create mern app assets logo1 png alt logo a p h5 align center set up a modern web mobile and desktop app by running one command h5 h5 align center if you find this code useful don t forget to a target blank href https github com mernjs create mern app rel noopener star the repo a h5 h4 create mern app h4 the mern app provides a versatile set of boilerplates that streamline the development process for various applications whether you re building a web app mobile app desktop app chrome extension or an npm package in javascript our comprehensive templates will help you get started quickly and efficiently h4 node version h4 version supported node version 18 white check mark node version 18 x h4 install create mernjs app globally h4 npm install create mernjs app g h4 creating an app h4 create mernjs app my app h4 creating a library h4 create mernjs app my library template library h4 features h4 simple folder structure clean code structure server client code login signup feature auto indentation eslint feature prettier feature tailwind css h4 app boilerplates h4 app boilerplates for building application sn boilerplates download 1 mern boilerplate https github com mernjs create mern app tree master templates app mern boilerplate download mern boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download mern boilerplate https github com mernjs create mern app raw master templates app mern boilerplate zip 2 expressjs mongodb boilerplate https github com mernjs create mern app tree master templates app nodejs mongodb boilerplate download nodejs mongodb boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download nodejs mongodb boilerplate https github com mernjs create mern app raw master templates app nodejs mongodb boilerplate zip 3 expressjs mysql boilerplate https github com mernjs create mern app tree master templates app nodejs mysql boilerplate download nodejs mysql boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download nodejs mysql boilerplate https github com mernjs create mern app raw master templates app nodejs mysql boilerplate zip 4 nextjs boilerplate https github com mernjs create mern app tree master templates app nextjs boilerplate download nextjs boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download nextjs boilerplate https github com mernjs create mern app raw master templates app nextjs boilerplate zip 5 gatsbyjs boilerplate https github com mernjs create mern app tree master templates app gatsbyjs boilerplate download gatsbyjs boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download gatsbyjs boilerplate https github com mernjs create mern app raw master templates app gatsbyjs boilerplate zip 6 reactjs boilerplate https github com mernjs create mern app tree master templates app reactjs boilerplate download reactjs boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download reactjs boilerplate https github com mernjs create mern app raw master templates app reactjs boilerplate zip 7 electronjs boilerplate https github com mernjs create mern app tree master templates app electronjs boilerplate download electronjs boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download electronjs boilerplate https github com mernjs create mern app raw master templates app electronjs boilerplate zip 8 react native boilerplate https github com mernjs create mern app tree master templates app react native boilerplate download react native boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download react native boilerplate https github com mernjs create mern app raw master templates app react native boilerplate zip 9 reactjs chrome extension boilerplate https github com mernjs create mern app tree master templates app reactjs chrome extension boilerplate download reactjs chrome extension boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download reactjs chrome extension boilerplate https github com mernjs create mern app raw master templates app reactjs chrome extension boilerplate zip 10 reactjs webpack boilerplate https github com mernjs create mern app tree master templates app reactjs webpack boilerplate download reactjs webpack boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download reactjs webpack boilerplate https github com mernjs create mern app raw master templates app reactjs webpack boilerplate zip 11 fastifyjs mysql boilerplate https github com mernjs create mern app tree master templates app fastifyjs mysql boilerplate download fastifyjs mysql boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download fastifyjs mysql boilerplate https github com mernjs create mern app raw master templates app fastifyjs mysql boilerplate zip 12 fastifyjs mongodb boilerplate https github com mernjs create mern app tree master templates app fastifyjs mongodb boilerplate download fastifyjs mongodb boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download fastifyjs mongodb boilerplate https github com mernjs create mern app raw master templates app fastifyjs mongodb boilerplate zip h4 library boilerplates h4 library boilerplates for building npm package sn boilerplates download 1 javascript library boilerplate https github com mernjs create mern app tree master templates library javascript library boilerplate download javascript library boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download javascript library boilerplate https github com mernjs create mern app raw master templates library javascript library boilerplate zip 2 reactjs library boilerplate https github com mernjs create mern app tree master templates library reactjs library boilerplate download reactjs library boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download reactjs library boilerplate https github com mernjs create mern app raw master templates library reactjs library boilerplate zip 3 nodejs library boilerplate https github com mernjs create mern app tree master templates library nodejs library boilerplate download nodejs library boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download nodejs library boilerplate https github com mernjs create mern app raw master templates library nodejs library boilerplate zip 4 expressjs library boilerplate https github com mernjs create mern app tree master templates library expressjs library boilerplate download expressjs library boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download expressjs library boilerplate https github com mernjs create mern app raw master templates library expressjs library boilerplate zip 5 nextjs library boilerplate https github com mernjs create mern app tree master templates library nextjs library boilerplate download nextjs library boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download nextjs library boilerplate https github com mernjs create mern app raw master templates library nextjs library boilerplate zip 6 react native library boilerplate https github com mernjs create mern app tree master templates library react native library boilerplate download react native library boilerplate https custom icon badges herokuapp com badge download blue style for the badge logo download logocolor white download react native library boilerplate https github com mernjs create mern app raw master templates library react native library boilerplate zip h4 support h4 please message us if you have any query suggestions or security concerns via github https github com mernjs create mern app discussions p style margin left 30px margin right 30px span style text align left 2023 a href https github com mernjs create mern app blob master license target blank create mern app a span nbsp nbsp nbsp nbsp span style float right b by b a href https vijay pratap singh netlify app target blank vijay pratap singh a span p | mern-boilerplate chrome-extension-boilerplate electron-boilerplate gatsby-boilerplate mongodb-boilerplate nextjs-boilerplate nodejs-boilerplate react-native-boilerplate reactjs-boilerplate webpack-boilerplate react-webpack-boilerplate react-webpack-starterkit javascript-boilerplate next-boilerplate node-boilerplate react-boilerplate gatsbyjs-boilerplate electronjs-boilerplate react-starter-kit node-express-boilerplate | front_end |
Blog_Notes | h1 align center collection of my writing and inspiration in ml and software engineering in python h1 div align center img src https cdn rawgit com sindresorhus awesome d7305f38d29fed78fa85652e3a63e154dd8e8829 media badge svg alt awesome badge a href https arbeitnow com utm source awesome github profile readme img src https img shields io static v1 label labelcolor 505050 message arbeitnow color 230076d6 style flat logo google chrome logocolor 230076d6 alt website a img src https img shields io static v1 label f0 9f 8c 9f message if 20useful style style flat color bc4e99 alt star badge br i a curated list of my writing and inspiration in machine learning and software engineering i img alt awesome github profile readme src assets agpr gif img i loved the project please consider donating https paypal me naiborhujosua to help it improve i div https github com naiborhujosua naiborhujosua blob master gaussianprocessposteriorpredictive manimce v0 9 0 gif list of articles i wrote for various publications code available in the notebook file in this repository you can visualize amazing plots using matplotlib and seaborn https naiborhujosua medium com looking at different perspectives when visualize data using matplotlib and seaborn 91d621a0623f your tensorflow pocket references on image data task https medium com naiborhujosua your tensorflow pocket references on image data 88ff84a5a44d you can get a better accuracy when carrying out transfer learning in your image data classification problem https naiborhujosua medium com you can get a better f1 score when carrying out transfer learning in your image data classification bc46165766b3 interpreting black box models using shapley additive explanations https naiborhujosua medium com interpreting black box models using shapley additive explanations 85a9842b5cbd how to interpret black box models using lime local interpretable model agnostic explanations https www freecodecamp org news interpret black box model using lime | python data datascience ethicalai machine-learning mlops responsibleai | cloud |
front-end-web-dev-code-examples | code examples for thinkful s front end web development course purpose this repository is for mentors in the front end web development course to store and share code samples they create to demonstrate programming concepts to students how to use first clone this repo then have a look at existing code samples if you see code that you think would be helpful to use in your session use it when you have a new code sample add it to the repository first check to see if there is already a folder that is appropriate to hold your file s if so add your file s to the existing folder if not create an appropriately named new folder and add your file s to it when you want to share a code sample with your student feel free to send them a link to the individual file on github this repo is public so anyone can access and clone it and it s fine if students choose to do so but it s probably more productive to send students to particular files in this repo contributing to this repo if you are a thinkful student or a member of the general public you can look at any file in this repo on the other hand if you re a thinkful mentor and would like write access to this repo you ll need to request to be added as a collaborator if you haven t been already to request write privileges you can email to grae at thinkful dot com to request access if you don t have it already the work flow for this repo is self policed and as follows if you d like to add new files to the repo you can simply push to master if you re revising existing code examples that don t belong to you please submit a pull request create a new folder when it s appropriate but try to use existing topic level folders if possible | front_end |
|
EmbeddedUMLStateMachines | embeddedumlstatemachines repository for the udemy course embedded systems design using uml state machines | os |
|
textflows | local installation of the textflows platform prerequisites python 2 5 pip virtualenv wrapper optional python headers if you re compiling pillow from source you need the python dev package on debian systems installation creating the environment create a virtual python environment for the project if you re not using virtualenv or virtualenvwrapper you may skip this step for virtualenvwrapper bash mkvirtualenv no site packages textflows env for virtualenv bash virtualenv no site packages textflows env cd textflows env source bin activate clone the code obtain the url to your git repository bash git clone git github com xflows textflows git install requirements bash cd textflows pip install r requirements txt configure project bash cp mothra local settings py mothra local settings py vi mothra local settings py enable workflow packages uncomment the packages that you need in mothra local settings py in the installed apps workflows sub tuple sync database say no to creating a super user when prompted you ll create the user after migrations bash python manage py syncdb noinput migrate database bash python manage py migrate create super user bash python manage py createsuperuser import packages bash python manage py import all running bash python manage py runserver running with debugger bash python manage py runserver plus open browser to http 127 0 0 1 8000 | ai |
|
OpenCV | opencv demos character recognition environment setup download install a href http opencv org downloads html target blank opencv 3 0 0 a br download install emgucv the opencv wrapper libs for net from a href http sourceforge net projects emgucv files target blank here a br set a system wide variable pointing to the emgucv install dir for example br br emgu root c bin emgu br br you can do this via system preferences advanced settings br br expand the variable path which is in the same settings window with br br emgu root bin x64 br br this entry is needed because the app will automatically search for cvextern dll located in this directory br br open the solution file and start the app notice this is an x64 app br load one of the available images from the assets folder these are simple invoice documents br click on analyze and wait for the ocr task to complete br example img src http fs2 directupload net images 150825 jli4zbww png width 800 height 650 there s a second app which is currently in development no real ocr there only a few tests with loading images and de serializing them img src http fs5 directupload net images 160125 abupzd6q png license a href https github com brakmic opencv blob master license mit a | opencv vision computer-vision ocr ocr-recognition scanimage scanned-documents scanning | ai |
Manta | a href https manta network img width 650 alt github banner src https user images githubusercontent com 98164067 154848582 58988e81 6a89 4c5f bdae ec83478e245c png a br br license gpl v3 https img shields io badge license gplv3 blue svg style flat square https www gnu org licenses gpl 3 0 tests on manta https img shields io github actions workflow status manta network manta check tests yml branch manta twitter https img shields io badge twitter 5c5c5c style flat square logo twitter https twitter com mantanetwork discord https img shields io badge discord gray style flat square logo discord https discord gg n4qfj4n5vg forum https img shields io discourse status server https 3a 2f 2fforum manta network style flat square https forum manta network telegram https img shields io badge telegram gray style flat square logo telegram https t me mantanetworkofficial medium https img shields io badge medium gray style flat square logo medium https mantanetwork medium com manta is the privacy layer for web 3 manta s goal is to protect web 3 users fundamental privacy from the first principle disclaimer the code currently hasn t been properly security audited work in progress use it at your own risk point right learn more about manta network https manta network br point right check out our technical documentation https docs manta network br point right get involved in manta community https forum manta network br manta calamari this is the mono repo for manta calamari nodes manta manta s polkadot parachain network calamari manta s canary network on kusama dolphin manta s testnet build manta calamari node 1 setup environment bash chmod u x scripts init sh scripts init sh 2 build node binary in production setting bash cargo b profile production tips the binary will be generated under target production manta for less performance critical build cargo build release is recommended for faster build time 3 run standalone dev chain useful for local development bash cargo run chain calamari localdev alice tmp tip the chain only produces blocks when you submit extrinsics semantic versioning manta calamari s version number v x y z where x is the major version i e major product release y is the middle verison i e adding major features z is the minor version i e performance improvement and bug fixes contributing please submit your code through pr please run cargo nightly fmt before pushing your code minimum supported rust compiler this project s msrv is rustc 1 62 | substrate manta zero-knowledge-proofs rust blockchain polkadot crytpocurrency kusama | blockchain |
pytorch-tutorial | most complete pytorch and nlp tutorial in existence this repo is a remix of the most popular online courses starting from applied deep learning and increasingly moving into more theoretical content with a pytorch translation of stanford nlp s cs224d 2017 course this course is a natural extension of fast ai s 2018 deep learning tutorial lastly the tutorial encompasses the allennlp library for building advanced deep learning systems and researching in nlp amongst courses where content is remixed are pytorch tutorial https github com pytorch tutorials technical university of denmark s deep learning tutorial https github com deeplearningdtu 02456 deep learning stanford s cs224 deep learning for nlp http cs224d stanford edu estimated time for completion of all content given prerequisites are satisfied 2 months full time prerequisites prerequisites for these tutorials are understanding of linear algebra and python if you do not understand linear algegbra we recommend either linear algebra 1 crash course often sufficient for engineers andrew ng s linear algebra crash course https www coursera org learn machine learning lecture 38jit matrices and vectors watch all the videos which should be around an hour total 2 thorough introduction recommended for researchers khan academy s precalculus https www khanacademy org math precalculus note if you do not have prerequisites for the precalculus you can start from scratch with khan academy single variable calculus https ocw mit edu courses mathematics 18 01sc single variable calculus fall 2010 multivariable calculus https ocw mit edu courses mathematics 18 02sc multivariable calculus fall 2010 linear algebra https ocw mit edu courses mathematics 18 06sc linear algebra fall 2011 going through the thorough introduction to linear algebra from scratch is about 2 months full time the crash course should take about 1 day to complete python 1 crash course https learnxinyminutes com docs python3 https www codecademy com learn learn python 2 thorough introduction introduction to computer science and programming in python https ocw mit edu courses electrical engineering and computer science 6 0001 introduction to computer science and programming in python fall 2016 introduction to algorithms https ocw mit edu courses electrical engineering and computer science 6 006 introduction to algorithms fall 2011 going through the thorough introduction to computer science from scratch is about 1 month full time the crash course should take about 1 day to complete docker to run the labs we will use docker which is ellaborated below see https docs docker com install linux docker ce ubuntu install docker ce on how to install docker build image cpu docker build t munkai pytorch cpu f dockerfile cpu gpu also available on dockerhub so simply use the docker run command to fetch remote version docker build t munkai pytorch gpu f dockerfile gpu start container docker run it p 8888 8888 v pwd work munkai pytorch cpu jupyter run sh running docker with a cuda enabled machine you need nvidia and nvidia docker installed for this nvidia docker run it p 8888 8888 v pwd work munkai pytorch gpu jupyter run sh install nvidia make sure you have nvidia s drivers installed for your system following is install instructions for ubuntu 16 04 distro ubuntu version 1604 arch x86 64 sudo apt key adv fetch keys http developer download nvidia com compute cuda repos distro version arch 7fa2af80 pub sudo sh c echo deb http developer download nvidia com compute cuda repos distro version arch etc apt sources list d cuda list sudo apt get update sudo apt get install y no install recommends cuda drivers install nvidia docker see https github com nvidia nvidia docker on how to install nvidia docker | ai |
|
gush-control | gush control gush control is an extension of gush https github com chaps io gush it adds web gui that lets you monitor and manage workflows installation add this line to your application s gemfile gem gush control and then execute bundle or install it yourself as gem install gush control usage the gem adds a new cli command gush server this will start a web server at http localhost 3000 where you can create and monitor progress of running workflows contributing 1 fork it https github com chaps io gush control fork 2 create your feature branch git checkout b my new feature 3 commit your changes git commit am add some feature 4 push to the branch git push origin my new feature 5 create a new pull request | front_end |
|
Final-Project-Web-Back | final project web | server |
|
smooch-bot-wit | smoochbot wit ai a smooch https app smooch io signup bot that integrates with wit ai https wit ai prerequisites 1 first sign up for a free account at smooch io https app smooch io signup 1 with a new smooch app created go to the settings tab and take note of your app token also generate a new secret key and take note of the key id and secret 1 sign up for an account at wit ai https wit ai getting started to install dependencies npm install in order to configure your application you will need to grab your smooch api key token and the wit ai token taken from the first steps to set those as environment variables in order to test the webhook functionality locally you will need to install ngrok https ngrok com download ngrok https ngrok com download and follow the installation instructions to set it up and configure it to set up the tunnel you will need to run the following ngrok http 8445 this will create an ngrok io url for you to use to set the following environment variables export smooch app token xxxx export smooch key id xxxx export smooch secret xxxx export wit token xxxx export service url http 6a72fa86 ngrok io start the app npm start to test the app either visit the ngrok io url or http localhost 8445 the default port deploying to heroku 1 deploy your app to heroku using the button below you ll need to specify your app token key id and secret in the app s smooch app token smooch key id smooch secret and wit token config settings deploy https www herokucdn com deploy button svg https heroku com deploy template https github com capgemini aie smooch bot wit 1 your app should now be running on heroku but you re not quite done yet take note of the url where your heroku app is running for example https foo bar 4242 herokuapp com you ll need to specify this in your heroku app service url config variable you can do this in the heroku control panel under settings config variables or if you have the heroku toolbelt https toolbelt heroku com installed you can do it like so heroku config set service url https foo bar 4242 herokuapp com a foo bar 4242 1 you may need to restart your application for the webhook to be registered 1 you should be all set open your heroku app and start chatting with your new bot troubleshooting your bot is your bot misbehaving not working here are some steps you can follow to figure out what s going wrong warning command line instructions incoming you may not be accustomed to using the command line but don t worry it s much easier than you think check your bot s logs on heroku if there s a bug in your code checking the heroku logs is the best way to figure out what s going wrong here s how 1 install the heroku toolbelt https toolbelt heroku com these are power tools that let you do a lot more than what heroku dashboard alone allows 2 next open your preferred terminal app on osx the default terminal app will work fine here 3 log in to the heroku toolbelt with the following command heroku login if the command heroku isn t found try restarting your terminal app once logged in you should be able to list all of your heroku apps like so heroku apps which should give you something like this heroku apps my apps your app 4 now you can check the logs of your heroku app like so heroku logs a your app how do i deploy my fixes to heroku 1 to deploy using git you first have to download a copy of your heroku app s code like so git clone https github com your github username your app note that git will prompt you to enter your github credentials 2 this will create a new git copy of your code in a new folder you can go into that folder like so cd your app 3 now you can use the heroku toolbelt to link this git copy up to your heroku app with the following command heroku git remote a your app 4 once that s done you can now deploy to heroku directly from this directory if you ve made any fixes on github directly be sure to sync them here like so git pull origin master git push heroku master 5 you can also make changes to your local copy of the code to do this edit whatever file you wish in your preferred text editor and then commit and push them up to github you ll add a commit message which is a short sentence decribing what you changed git commit a m your commit message git push origin master then you can deploy those changes to heroku in the same way git push heroku master | ai |
|
Full-Stack-Web-Development-with-Remix | full stack web development with remix a href https www packtpub com product full stack web development with remix 9781801075299 img src https content packt com b17399 cover image small jpg alt height 256px align right a this is the code repository for full stack web development with remix https www packtpub com product full stack web development with remix 9781801075299 published by packt enhance the user experience and build better react apps by utilizing the web platform what is this book about we re in an exciting era of web development marked by the rapid evolution of the javascript ecosystem remix offers the necessary abstractions to take advantage of the latest advancements in react and beyond with this remix book you can elevate your skills from react development to full stack web development unlocking the full potential of the latest technologies such as edge functions streaming and the full stack of the web platform this book covers the following exciting features understand remix s philosophy and guiding principles enhance your web platform proficiency to make it applicable anywhere master data mutations routing error handling and state management with remix understand how to build web apps with accessibility and progressive enhancement in mind get acquainted with advanced topics such as caching strategies optimistic ui and real time communication work with state of the art technologies such as react suspense and edge functions study migration patterns to move an existing project to remix if you feel this book is for you get your copy https www amazon com dp 1801075298 today a href https www packtpub com utm source github utm medium banner utm campaign githubbanner img src https raw githubusercontent com packtpublishing github master github png alt https www packtpub com border 5 a who is this book for this book is for react developers looking to adopt remix for their next project for those considering migrating to remix this guide offers a comprehensive walkthrough of building a full stack web app to make the most of this book beginner level development experience with react and javascript is recommended while having basic knowledge of server side runtimes such as node js and experience with typescript can be beneficial they are not mandatory prerequisites technical requirements to follow along you will need a computer that can run node js all common operation systems should suffice please install both node js and npm on your machine an editor such as vs code is recommended you can download node js and npm here https nodejs org en download how to approach the content of the book we recommend having both a text editor and a terminal open while reading through each chapter follow the instructions in the text and try to reproduce the steps on your own machine if you get stuck you can always refer to the solutions in this repository structure the code for each chapter can be found in the corresponding folder for example 02 creating a new remix app contains the code for chapter 2 creating a new remix app each chapter of the book provides instructions for how to get started and how to incrementally reach the final code of the chapter getting started with remix 1 the era of full stack web frameworks 2 creating a new remix app 02 creating a new remix app 3 deployment targets adapters and stacks 03 deployment targets adapters and stacks 4 routing in remix 04 routing in remix working with remix and the web platform 5 fetching and mutating data 05 fetching and mutating data 6 enhancing the user experience 06 enhancing the user experience 7 error handling in remix 07 error handling in remix 8 session management 08 session management 9 assets and metadata handling 09 assets and meta data handling 10 working with file uploads 10 working with file uploads advanced topics of full stack web development with remix 11 optimistic ui 11 optimistic ui 12 caching strategies 12 caching strategies 13 deferring loader data 13 deferring loader data 14 real time with remix 14 real time with remix 15 advanced session management 15 advanced session management 16 developing for the edge 17 migration and upgrade strategies beerich beerich is a dashboard like application that mimics both personal and enterprise use cases beerich is a personal finance management application that helps you stay on top of your bee pardon me bookkeeping well at least that s the goal in every chapter we will add more code to this application we kick off the beerich development journey in chapter 3 deployment targets adapters and stacks you can find the beerich remix template here 03 deployment targets adapters and stacks bee rich troubleshooting and faq why do some links in the book point to a outdated version of the remix documentation remix and its documentation are constantly evolving similarly to pinning code dependencies to specific versions to avoid unexpected breaking changes in our code we pin the links in the book to specific versions of the remix documentation most links point to the latest version of the remix documentation for v2 2 other links are pinned to a specific version e g 2 0 0 v1 for instance if the content is likely to change in the future or not part of the latest version of the docs even though the links may seem outdated we ensure all referenced content is relevant to the current version of remix and your learning experience as always you get the most out of the content of this book if you do additional research read through the referenced content of the documentation and then explore the latest version of the docs as well the more you familiarize yourself with the remix documentation the better application error how do i fix it if you see an application error while running the application it is most likely that you missed a step in the instructions refer to the troubleshooting section in chapter 2 creating a new remix app for a step by step guide on how to debug issues in remix as always read carefully through the error message and the stack trace to find the root cause of the issue error environment variable not found database url 1 make sure to add an env file to the root of your project refer to the readme md file of your current chapter the run the application section contains the required environment variables for the application to run 2 restart your application after adding the env file by running npm run dev environment variables are only loaded when the application starts related products other books you may enjoy building micro frontends with react 18 packt https www packtpub com product building micro frontends with react 18 9781804610961 amazon https www amazon com dp 1804610968 react 18 design patterns and best practices 4e packt https www packtpub com product react 18 design patterns and best practices fourth edition 9781803233109 amazon https www amazon com dp 1803233109 get to know the author andre landgraf is a full stack developer from germany he graduated with an ms in information systems from the technical university of munich and was also awarded an ms in computer science from sofia university in palo alto andre currently lives in cupertino california and he works as a software engineer at linkedin andre loves learning writing and speaking about all things web in his free time he tutors aspiring developers and builds for the web you can find andre on twitter https twitter com andrelandgraf94 and on linkedin https www linkedin com in andre landgraf | front_end |
|
ce-toolbox | ded toolbox various scripts and snippets | cloud |
|
TIRTOS | tirtos this is the code for my embedded microcomputer systems class wherein my teammate james cockrell and i designed a robot with a real time operating system capable of handling multiple tasks in real time for this class i had to program a robot in a team using the texas instruments real time operating system tirtos such that it could communicate over bluetooth navigate a maze take sensor readings and calculate a pid control loop to remain a set distance away from the walls all while going as quickly as smoothely as possible | os |
|
sign-language-translator | how to build a neural network to translate sign language into english real time sign language translation using computer vision this repository includes all source code for the soon to be tutorial on digitalocean with the same title including a real time sign language translator based on a live feed utilities used for portions of the tutorial such as dataloaders simple convolutional neural network written in pytorch http pytorch org with pretrained model created by alvin wan http alvinwan com november 2019 img width 832 alt screen shot 2019 11 29 at 4 42 59 am src https user images githubusercontent com 2068077 69869958 2c266f00 1263 11ea 9dad d5f72b56d047 png img width 832 alt screen shot 2019 11 29 at 4 44 34 am src https user images githubusercontent com 2068077 69869959 2c266f00 1263 11ea 9aab 8af38c1a0946 png getting started for complete step by step instructions see the soon to be tutorial on digitalocean this codebase was developed and tested using python 3 6 if you re familiar with python then see the below to skip the tutorial and get started quickly optional setup a python virtual environment https www digitalocean com community tutorials common python tools using virtualenv installing with pip and managing packages a thorough virtualenv how to with python 3 6 1 install all python dependencies pip install r requirements txt 2 navigate into src cd src 3 launch the script for a sign language translator python step 5 camera py how it works see the below resources for explanations of related concepts understanding least squares http alvinwan com understanding least squares understanding neural networks http alvinwan com understanding neural networks acknowledgements these models are trained on a sign language mnist dataset curated by tecperson as published on kaggle https www kaggle com datamunge sign language mnist | ai |
|
movie-information-app | movie information app ios application for daa subject from software engineering at usal | os |
|
MCW-Securing-Azure-IoT-solutions | securing azure iot solutions this workshop is archived and no longer being maintained content is read only contoso ltd has major holdings in one of the world s most important oil producing regions to overcome the challenges of monitoring and optimizing a vast number of widely dispersed field assets contoso ltd is looking to streamline its operations with iot solutions they want to deploy iot technologies to electronically collect data and use cloud based solutions to store and analyze it in order to gain new insights into well operations and future drilling possibilities september 2021 target audience cloud solution architect system architect software engineer technical support engineer data engineer abstracts workshop in this workshop you will look at the process for designing and implementing an oil and gas manufacturing iot solution that is secured following best practices at the end of this workshop you will be better able to architect a comprehensive and secure oil and gas manufacturing iot solution whiteboard design session in this whiteboard design session you will look at the process for designing an oil and gas manufacturing iot solution that is secured following best practices you will learn how to monitor and manage the security of all components in the solution you will also provide contoso guidance on defining life cycles for particular components so that they have a plan that begins with initial deployment to expected maintenance to planned end of life and ultimately through decommissioning of the device so that they can understand how azure supports this additionally you will perform some threat modeling to help contoso think about how they might handle stride threats spoofing of user identity tampering repudiation information disclosure denial of service elevation of privilege at the end of this whiteboard design session you will be better able to architect a comprehensive and secure oil and gas manufacturing iot solution hands on lab in this hands on lab you will look at the process for implementing an oil and gas manufacturing iot solution that is secured following best practices you will learn how to monitor and manage the security of all components in the solution azure services and related products azure cosmos db azure iot device provisioning service azure iot edge azure iot hub azure key vault azure sphere azure security center including asc for iot azure stream analytics log analytics related references mcw https github com microsoft mcw introducing azure security center for iot https docs microsoft com en us azure asc for iot overview internet of things iot security architecture https docs microsoft com en us azure iot fundamentals iot security architecture help support we welcome feedback and comments from microsoft smes learning partners who deliver mcws having trouble first verify you have followed all written lab instructions including the before the hands on lab document next submit an issue with a detailed description of the problem do not submit pull requests our content authors will make all changes and submit pull requests for approval if you are planning to present a workshop review and test the materials early we recommend at least two weeks prior please allow 5 10 business days for review and resolution of issues | server |
|
GPT-Expr | assisting static analysis with large language models a chatgpt experiment summary we investigate where and how large language models llms can assist static analysis by asking appropriate questions in particular we target a specific bug finding static analysis tool that produces a large number of false positives with chatgpt we found it is very promising to filter out those fps efficiently and could even find missed real bugs that ignored by static analysis method use chatgpt to evaluate if a function initializes parameters for each function call provide necessary context such as return value checks the context preparing could also finished by chatgpt engage in an iterative process i e progressive prompt allowing chatgpt to request additional information such as function definitions prompt chatgpt to generate a structured summary after analysis wf jpg wf jpg demo and prompt complete conversation conversation md progressive prompt in multiple turns many round md result result jpg result png future work our method should really find several missed bugs our method should get a better result even symbolic execution won t timeout symbolic execution is still not perfect due to many reasons such as asm code chatgpt is free of them our method should be more reliable chatgpt is non deterministic by design we need to mitigate it we should show our method could always or most cases give correct and reliable answers our method should also work in other analysis the unit in our analysis is function so we believe many summary based inter procedure analysis could benefit from our method | ai |
|
389Kspring17 | cmsc389k full stack web development with node js imgur http i imgur com 19j0ajp png course description this course provides a comprehensive practical introduction to modern full stack web development using javascript and node js the course will start with basic html css javascript then we will move into node js and learn how to deploy a website from there we will learn about express js server side development module and mongodb database in order to create a complete web application course details course cmsc389k https ntst umd edu soc search courseid cmsc389k sectionid termid 201701 opensectionsonly on creditcompare credits courselevelfilter all instructor facetoface on blended on online on coursestartcompare coursestarthour coursestartmin coursestartam courseendhour courseendmin courseendam teachingcenter all classday1 on classday2 on classday3 on classday4 on classday5 on prerequisites c or better in cmsc216 and cmsc250 credits 1 seats 30 lecture time fridays 3 3 50pm location csi 1122 semester spring 2017 textbook none course facilitators ishaan parikh https www linkedin com in iparikh and sashank thupukari https www linkedin com in sthupukari faculty advisor nelson padua perez http www cs umd edu nelson syllabus last updated may 24 2017 topics covered html and css javascript ecmascript 2015 e6 variables data types expressions operators conditionals iteration statements functions functional programming callbacks interaction with dom dom manipulation event handling jquery ajax node js file manipulation modules server applications writing server applications in node js and express mongodb deploying and hosting server applications grading grades will be maintained on the cs department a href https grades cs umd edu grades server a you are responsible for all material discussed in lecture and posted on the class repository including announcements deadlines policies etc your final course grade will be determined according to the following percentages percentage title description 55 projects weekly individual projects that teach practical skills and real life applications 20 midterm examination 25 final project final project to demonstrate mastery of all topics learned and apply knowledge to create a new application from scratch any request for reconsideration of any grading on coursework must be submitted within one week of when it is returned no requests will be considered afterwards week topic assignment 1 1 27 html css personal website p1 out 2 2 3 javascript language w dom p1 due js function implementation p2 out 3 2 10 jquery and ajax p2 due 50 state game p3 out 4 2 17 node js 5 2 24 express js p3 due pok mon api p4 out 6 3 3 express js cont 7 3 10 express js cont p4 due 8 3 17 midterm representatives website p5 out break 3 24 final project out 9 3 31 databases p5 due 10 4 7 databases cont 11 4 14 mega boilerplate 12 4 21 web sockets 13 4 28 now tbd 14 5 5 presentations final project due projects projects must be submitted electronically following the instructions given in each project assignment projects may not be submitted by any other means e g please do not email your projects to us it is your responsibility to test your program and verify that it works properly before submitting all projects are due at 11 59 pm on the day indicated on the project assignment projects may be submitted up to 24 hours late for a 10 penalty if you submit both on time late your project will receive the maximum of the penalty adjusted scores you may submit multiple times unlike lower level programming classes we will not provide you with test cases e g public tests before projects are due you will be responsible for developing your own tests and for using appropriate testing techniques also we expect your projects to use proper style and documentation outside of class communication with course staff we will interact with students outside of class in primarily two ways in person during office hours and piazza email should only be used for emergencies and not class related questions e g projects instructor nelson padua perez nelson cs umd edu tas ishaan parikh iparikh umd edu sashank thupukari sthukupa terpmail umd edu excused absence and academic accommodations see the section titled attendance absences or missed assignments available at a href http www ugst umd edu courserelatedpolicies html course related policies a disability support accommodations see the section titled accessibility available at a href http www ugst umd edu courserelatedpolicies html course related policies a academic integrity note that academic dishonesty includes not only cheating fabrication and plagiarism but also includes helping other students commit acts of academic dishonesty by allowing them to obtain copies of your work in short all submitted work must be your own cases of academic dishonesty will be pursued to the fullest extent possible as stipulated by the a href http osc umd edu osc default aspx office of student conduct a it is very important for you to be aware of the consequences of cheating fabrication facilitation and plagiarism for more information on the code of academic integrity or the student honor council please visit http www shc umd edu course evaluations if you have a suggestion for improving this class don t hesitate to tell the instructor or tas during the semester at the end of the semester please don t forget to provide your feedback using the campus wide courseevalum system your comments will help make this class better thanks to the writers of a href https www cs umd edu class fall2016 cmsc330 syllabus shtml this a syllabus for the wording of much of this document | course-materials university-course university-of-maryland | front_end |
net-runner-ios | net runner build status https travis ci org doc ai net runner ios svg branch master https travis ci org doc ai net runner ios net runner is an ios environment for running measuring and evaluating computer vision machine learning models on device net runner currently supports tensorflow lite models and works on ios 9 3 or higher we ve tested our models on devices as old as a 5th generation ipod touch data scientists can run their own models in net runner without needing to know any iphone specific code while developers will find a sophisticated and flexible library underneath the hood in the form of tensorio https github com doc ai tensorio we happen to think it looks pretty good too and if that latency number worries you it s because this is a screenshot from the simulator on an iphone x mobilenet v2 classification models perform inference in an impressive 40ms download net runner on the ios app store https itunes apple com us app net runner by doc ai id1435828634 ls 1 mt 8 img src readme images net runner screenshot jpg width 240 table of contents overview overview requirements requirements installation installation author author license license data scientists start here data scientists freezing a model freeze model converting a model to tensorflow lite toco convert preparing a tf lite model for net runner prep net runner adding a model to net runner add model developers start here developers basic usage basic usage model evaluators model evaluators tensorio tensor io adding your own models models directory custom output custom output bulk inference bulk inference headless mode headless mode evaluation metric evaluation metric the headless directory headless directory the json test file test json a name overview a overview net runner is an environment for evaluating machine learning models on device it enables the rapid prototyping and verficiation of computer vision machine learning models without a lot of boilerplate code in fact with the help of tensorio https github com doc ai tensorio you can run your vision models in net runner with just a little json in addition to supporting the live visual verification of your models net runner also supports bulk inference on device photo albums and a headless mode to evaluate the accuracy of your models by whatever metric you prefer a name requirements a requirements net runner requires ios 9 3 and xcode beta 10 a name installation a installation clone or download this repo and run pod install open net runner xcworkspace and build a name author a author philip dow philip doc ai a name license a license net runner is available under the apache 2 license see the license file for more info a name data scientists a data scientists start here net runner is designed to be easy to use for computer vision data scientists and without the need for any tensorflow lite or iphone specific code that means no c c objective c or swift instead model builders describe their models using json with information that is already familiar to them such as tensor shapes and data transformations there is still something of a process to get to that point which looks like 1 develop your tensorflow model 2 save your model 3 convert your saved model to a frozen model 4 convert the frozen model to a tensorflow lite model 5 prepare your tensorflow lite model for net runner a guide to assist data scientists with these steps is forthcoming but the following information will help you get started see especially the tf lite developer guide https www tensorflow org mobile tflite devguide at tensorflow org for information on freezing a model and converting it to the tensorflow lite format a name freeze model a freezing a model convert a saved model to a frozen model with the freeze graph command line utility which is included with python installations of tensorflow a frozen graph is one in which trainable variables have into transformed and frozen into constants that are then packaged into a single protobuf file along with the graph it is a model format that is optimized for and suited to inference only a name toco convert a converting a model to tensorflow lite tf lite once you have frozen your model convert it to the tensorflow lite format using the toco command line utility also included with python installations of tensorflow tensorflow lite is a tensorflow environment for mobile and embedded use cases and is how models are run on iphone and android devices tensorflow lite models do not support all tensor operations but most convolution operations are available and if you are beginning with a mobilenet or inception resnet model you should be fine a name prep net runner a preparing a tf lite model for net runner at this stage you could use your model with the tensorflow lite library directly but that would involve programming in objective c for an iphone and java and c on android instead net runner uses tensorio https github com doc ai tensorio a framework also developed by doc ai for the rapid deployment of tensorflow lite models to ios devices with tensorio you describe your model s input and output layers using json net runner can then automatically prepare camera and image data for inference and capture your model s output in the correct format refer to the included tfbundle folders in the models directory found in this repo for examples and see especially the section on tensorio tensor io below for details on preparing your tf lite models for net runner a name add model a adding a model to net runner you can download your own models directly into net runner make sure your model has been propertly prepared and is wrapped in a tfbundle with a model json description and any other assets then zip the tfbundle folder using a utility like gzip or the finder s compress utility upload the zipped bundle to web site you can access and then from within net runner go to settings and tap the selected model at the top right of the models table tap the plus button enter the url and then tap import model at the bottom of the screen net runner will download unzip and validate your model and if it can be run in the app will import it and make it available for selection and evaluation note that net runner is designed specifically for computer vision applications so your models should take a single input of type image a name developers a developers start here net runner is designed for turnkey use without the need to write any additional code if you would however like to perform custom model evaluation format your model s output in a more human readable way or extend the underlying tensorio framework https github com doc ai tensorio some coding may be necessary by default net runner displays a model s output using a propertly list representation to format that output refer to the section on custom output custom output net runner supports the headless evaluation of models you may define an evaluation metric and then create test bundles with test examples and expected outputs to evaluate a model s accuracy for more information on setting up custom evaluation metrics and running your own tests see the section on net runner s headless mode headless mode if you would like to contribute to tensorio the underlying framework that allows users to describe their models with json rather than write custom objective c code head on over to the tensorio repository https github com doc ai tensorio a name basic usage a basic usage net runner ships with four mobilenet models for image classification the application launches with a mobilenet v2 model and the back facing camera feeding image data into it the model can classify 1000 objects and net runner shows the top five classifications with a probability over 0 1 net runner measures the model s latency and continuously outputs an average value on an iphone x the average latency of the mobilenet v2 model should be 40ms by default net runner performs inference on the data coming from the back camera swipe left or right on the preview to flip the camera to pause the feed tap the preview once and tap it again to restart it to change the capture source tap the camera icon at the top left you may take a photo or choose a photo from the photo library on the device along the top of the screen net runner shows the rgb channel previews and the image that the model actually sees after applying cropping and scaling tap settings to change the model you are running or to change ui preferences you may also perform bulk inference on photo albums by tapping on evaluate models here a name model evaluators a performing inference model evaluators net runner defers all model inference to classes that implement the evaluator protocol and net runner includes support for evaluating album photos files instances of uiimage and instances of cvpixelbufferref support for performing inference on images identified by urls is forthcoming ultimately all model evaluators defer to the cvpixelbufferevaluator which performs inference on a pixel buffer evaluators return information such as the model output latency and image preprocessing latency as well as a unique identifier such as the filepath or album photo id and any errors that occurred see the evaluation group in the xcode and especially cvpixelbufferevaluator m for more information a name tensor io a tensorio net runner includes tensorio https github com doc ai tensorio as a dependency tensorio is a framework for deploying tensorflow lite models on ios it abstracts the work of transforming data and copying bytes into and out of tensor buffers replacing that with a native objective c interface and a json description of the underlying model the following json describes the mobilenet v2 model that ships with net runner notice in particular the inputs and outputs fields json name mobilenet v2 1 0 224 details mobilenet v2 with a width multiplier of 1 0 and an input resolution of 224x224 n nmobilenets are based on a streamlined architecture that have depth wise separable convolutions to build light weight deep neural networks trained on imagenet with categories such as trees animals food vehicles person etc mobilenets efficient convolutional neural networks for mobile vision applications id mobilenet v2 100 224 unquantized version 1 author andrew g howard menglong zhu bo chen dmitry kalenichenko weijun wang tobias weyand marco andreetto hartwig adam license apache license version 2 0 http www apache org licenses license 2 0 model file mobilenet v2 1 4 224 tflite quantized false type image classification imagenet inputs name image type image shape 224 224 3 format rgb normalize standard 1 1 outputs name classification type array shape 1 1000 labels labels txt the model is used in objective c as follows objc uiimage image uiimage imagenamed example image tiopixelbuffer buffer tiopixelbuffer alloc initwithpixelbuffer image pixelbuffer orientation kcgimagepropertyorientationup nsdictionary inference nsdictionary model runon buffer nsdictionary nsstring nsnumber classification inference classification all that is required to use the underlying tensorflow lite model is that the model is included in the application inside a tfbundle directory with this json description and any other assets and then accessed via that bundle objc nsstring path tiotflitemodel model tiotflitemodel modelwithbundleatpath path a name models directory a adding your own models net runner automatically looks for tfbundle folders inside the included models directory it makes those models available for selection in settings as well as for evaluation to add your own model to net runner create a model json file for it and include both the model and the json file in a tfbundle folder add any additional assets and then add the folder to the models directory you do not need to add the folder to xcode as xcode will automatically pick it up via a folder reference for example the included mobilenet v2 model has the following directory structure mobilenet v2 1 4 224 tfbundle mobilenet v2 1 4 224 tflite model json assets labels txt if your model expects a single input layer of image data net runner will know how to use it without any additional code if you have a single output layer you can probably get by with copying the model json file from one of the included models and making small changes to it net runner will then display your model s output at the bottom of the screen for more information on how to describe your model in the model json file and for additional details on packaging your models in a tfbundle folder refer to the tensorio documentation https github com doc ai tensorio model json a name custom output a custom output by default net runner outputs a property list representation of your model s output in the info section at the bottom of the screen if you would prefer to format this output create a class that conforms to the modeloutput protocol and implement specifically the localizeddescription method you can then register your class with the modeloutputmanager the manager uses the model type field in the model s json description so that you can register a single output class for multiple models objc nsdictionary nsstring class classes nsmutabledictionary nsstring class classes nsmutabledictionary alloc init classes image classification imagenet nsclassfromstring imagenetclassificationmodeloutput add your model output class here return classes copy a name bulk inference a bulk inference net runner can perform bulk inference on the device s photo albums select settings and tap evalute models under testing follow the on screen instructions to select the models and albums you would like to perform inference with you may then view the results in bulk and individually which is nice way to develop a sense for how well your models are performing img src readme images bulk inference jpg width 240 a name headless mode a headless mode for a more rigorous assessment of your model s performance headless mode supports the automatic evaluation of models on images that are included with the application to use headless mode switch the build scheme to net runner headless at the top left of the xcode window and add your custom test bundles to the headless directory included in the repository a name evaluation metric a evaluation metric you may also need to implement a custom evaluation metric that conforms to the evaluationmetric protocol see the evaluation metrics group in xcode for more information specifically an evaluationmetric knows how to evaluate the results of a single inference and then aggregate and reduce those results to a single value typically an average when you create an evaluation metric you will implement two methods evaluate yhat and reduce that do just that see below for a description of how the included evaluationmetricaccuracytop5 assess an image classification model s accuracy a name headless directory a the headless directory net runner looks for testbundle folders in the headless directory when performing headless evaluation to add your own headless evaluation create a testbundle folder in this directory there is no need to add this folder to xcode as the folder reference will automatically pick it up the folder should have the following directory structure myevaluation testbundle test json images 01 jpg 02 jpg a name test json a the json test file inside your testbundle you must have a test json file as well as an images directory that contains the image files you will be performing inference on the test json file has the following basic structure all fields are required json name sample test bundle 2 id sample test bundle 2 version 1 models inception v4 options iterations 1 metric evaluationmetricaccuracytop5 images labels name id version the name id and version field are specific to your use case and may be any string value models the models field is an array of string values corresponding to the id values of the models you would like to perform inference with recall that the model json description of a model in a tfbundle folder contains an id entry the entries here correspond to those values you may perform headless evaluation on many models simultaneously which is useful for comparing the performance of related models options the options field supports two entries iterations and metric iterations describes how many times a model should perform inference on each entry with the latency results averaged over those iterations metric is a string value equal to the objective c class name of the evaluation metric you would like to use evaluationmetricaccuracytop5 is already implemented see the evaluationmetric group in xcode and the evaluationmetric protocol for examples and more information it will be up to you to design evaluation metrics that work with the outputs your models produce images the images field is an array of images you would like to perform evaluation on each item in the array is a dictionary with two entries type and path it has the following structure json images type file path images 01 jpg type file path images 02 jpg type file path images 03 jpg currently only the file type is supported but support may be extended to urls and album photos in the future the path is the relative path to the image in the testbundle directory labels the labels field describes the expected outputs of performing inference it is an array of dictionaries with two fields a path field corresponding to the path fields in the images entry and an inference results field whose entry will be specific to the output of your model it has the following structure json labels path images 01 jpg inference results path images 02 jpg inference results path images 03 jpg inference results in the included headless examples we know that the output of the classification models has the following format where the labels are the named object classes that the model is capable of recognizing and the associated numeric values are the softmax probability of that object appearing in the image json classification label a 0 1 label b 0 2 label c 0 3 we also know that the model outputs these values under the classification entry in a dictionary we know that because the first entry in the outputs field in the model s model json file has the name classification and tensorio packs a model s outputs into a dictionary representation keyed to these names see tensorio https github com doc ai tensorio outputs field for more information about model outputs consequently the entire labels entry for the included examples has the following value json labels path images 01 jpg inference results classification rocking chair path images 02 jpg inference results classification lakeside path images 03 jpg inference results classification chiffonier when net runner performs headless evaluation it takes the output produced by the model for an image and the entry in the inference results field and passes them to the evaluationmetric you have specified which knows how to parse those values and asses the accuracy of the model for example the included evaluationmetricaccuracytop5 might take the following expected inference and actual inference expected inference y json classification rocking chair actual inference yhat json classification rocking chair 0 68 porch 0 14 and then checks to see that the expected classification appears in the top five results returned by the model | ai |
|
Plants-serverless-app | serverless plant a simple plant application using aws lambda and serverless framework developed alongside the udacity cloud engineering nanodegree functionality of the application this application allow creating removing updating fetching your favorite palnts each plant can optionally have an attachment image each user only has access to the plants that he she has created how to run the application backend to deploy an application run the following commands cd backend npm install sls deploy v frontend to run a client application run the following commands cd client npm install npm run start this should start a development server with the react application that will interact with the serverless application | cloud |
|
jhipster-backend-less | jhipster backend less development this is an example on how to configure a jhipster application so that frontend can be developed without the backend it is well explained here https ruhul wordpress com 2014 11 03 backendless development with angularjs benefits are faster development cycle easier communication with customers as you can zip the webapp folder and send it to them for review easier collaboration with designers less coupling between resources rest api and entities jpa database in this example only a part of the backend api is simulated in src main webapp scripts app stubs httpbackendstub js src main webapp scripts app stubs httpbackendstub js but enough to authenticate with user or admin accounts and to use the crud view of an entity unfortunately this approach is not compatible with great new feature added in 2 3 0 browsersync support because the way gruntfile js is configured in jhipster proxies any request to the jhipster application running on port 8080 my solution is to have 2 browsersync configurations dev the original one that uses a proxy for all requests backendless the new one that uses static server and works only with simulated backend this is what is below it could be improved by avoiding duplicating the list of files to watch javascript browsersync dev bsfiles src src main webapp html src main webapp json src main webapp bower components js css tmp src main webapp assets styles css tmp src main webapp scripts js src main webapp assets images png jpg jpeg gif webp svg options watchtask true server basedir tmp src main webapp backendless bsfiles src src main webapp html src main webapp json src main webapp bower components js css tmp src main webapp assets styles css tmp src main webapp scripts js src main webapp assets images png jpg jpeg gif webp svg options watchtask true proxy localhost 8080 these 2 configurations are used by 2 tasks serve the original one that uses browsersync dev serve client the new one that uses browsersync backendless javascript grunt registertask serve clean server wiredep ngconstant dev concurrent server browsersync dev watch grunt registertask serve client clean server wiredep ngconstant dev concurrent server browsersync backendless watch | server |
|
cv-practice-2016 | computer vision join the chat at https gitter im alekcac cv practice 2016 https badges gitter im alekcac cv practice 2016 svg https gitter im alekcac cv practice 2016 utm source badge utm medium badge utm campaign pr badge utm content badge license creative commons attribution share alike 3 0 cc by sa 3 0 cc3 list hall of fame labs lections gary bradski learning opencv computer vision with the opencv library book opencv main shervin emami khvedchenia ievgen naureen mahmood mastering opencv with practical computer vision projects book opencv pull requests pull request students surname lab index shishkov lab 0 pull request links cc3 http creativecommons org licenses by sa 3 0 list https gitter im alekcac cv practice 2016 hall of fame https docs google com spreadsheets d 1uopl31bnufdg2kmkphbxlafje9a6k9lhdlqqcaxicdm labs https github com alekcac cv practice 2016 tree master labs lections https github com alekcac cv practice 2016 tree master lections book opencv http www books ru books mastering opencv with practical computer vision projects 3621312 show 1 book opencv main http www amazon com learning opencv computer vision library dp 0596516134 ref sr 1 2 ie utf8 qid 1427801875 sr 8 2 keywords opencv | ai |
|
Vehicle-GPS-Navigation-and-Audio | vehicle gps navigation and audio gps accomplish an android embedded system combining arduino cmu and gps module with bluetooth to provide personalized driving service got the best design award gps 1 gps 2 3 gps 4 1 1 br emsp emsp br emsp emsp br emsp emsp br emsp emsp br 2 br 2 gps 1 gps gps br 2 arduino br 3 br 4 br 5 br 6 google api br 3 gps 1 0 br 4 1 br 2 gps br 3 android sqlite br 4 arduino usb br uml img https github com yzy source vehicle gps navigation and audio blob master img uml png 1 arduino 9600 loop l298n br 2 gps arduino br 3 android br 4 arduino analogread br 5 arduino gps gprmc br 6 mediaplayer start pause stop musicindex br 7 google android recognizerintent android intent br 8 onclick app br 9 musicpattern 1 2 3 1 2 3 br 10 br 11 br 12 br | os |
|
qzui | qzui qzui a basic rest and web front end over quartz scheduler http quartz scheduler org features simple ui simple ui to get the list of jobs and their triggers delete cancel a job jobs type log job log something mainly used for testing http jobs make http request timers now at specified time using cron syntax rest api create new jobs get list of jobs get job detail delete cancel a job easy hacking as of feb 2014 qzui has been developed in a couple of hours the server part consists of less than 500 loc language files blank comment code java 10 110 63 480 hacking get build and run git clone https github com xhanin qzui git cd qzui mvn package this will produce a war in the srv target directory that you can deploy in any servlet 2 5 container you can also run the server using restx http restx io with restx app run for dev mode with auto compile for easy hacking and restx app run prod for production mode launch it in srv directory to launch it from your ide use the appserver class add new job types adding a new job type is simple take example from existing ones httpjobdefinition https github com xhanin qzui blob master srv src main java qzui httpjobdefinition java and do not forget to add the type json value in jobdescriptor https github com xhanin qzui blob master srv src main java qzui jobdescriptor java add new triggers hack the triggerdescriptor https github com xhanin qzui blob master srv src main java qzui triggerdescriptor java class hack ui the basic ui is developed using angularjs tw boostrap check ui app https github com xhanin qzui tree master ui app configure you can setup the quartz configuration as you like following quartz documentation http quartz scheduler org documentation quartz 2 2 x configuration we strongly recommend setting up a jobstore if you don t want to lose your jobs at each server restart usage when the server is launched open your browser at http localhost 8080 and you will get the list of jobs to create a job use the rest api do a post on http localhost 8080 api groups group jobs to do so you can use the restx api console login admin juma at http 127 0 0 1 8080 api ui api docs note that jobs must have unique names examples http job scheduled at fixed date time type http name google humans method get url http www google com humans txt triggers when 2014 11 05t13 15 30z http job scheduled now type http name google humans method get url http www google com humans txt triggers when now http job scheduled using cron syntax type http name google humans method get url http www google com humans txt triggers cron 0 2 why because i don t like embedding a job scheduler inside my web application server mainly because scaling a web application server should be done easily by adding new nodes while a scheduler cluster is much harder to setup and most of the time a single scheduler server can handle tremendous number of jobs especially if jobs are performed asynchronously therefore i tend to make the web application schedule a job with a rest api call on qzui then qzui call it back when scheduled this is similar to how google app engine scheduled tasks https developers google com appengine docs java config cron are designed and also because it s fun to develop with restx http restx io angularjs http angularjs org and can also be used as an example of how to embed quartz in a restx app look at quartzmodule https github com xhanin qzui blob master srv src main java qzui quartzmodule java production ready quartz is production ready and it s the component doing the heavy lifting screenshots qzui ui https i cloudup com ra5owu9hqd 2000x2000 png qzui post jobs https i cloudup com zckwmotvpr 3000x3000 png | front_end |
|
Final-Project | final project ethan james this is my home page for my introduction to information technology final project links to other pages my favorite video games https github com ethanj11 final project blob master videogames md sports https github com ethanj11 final project blob master sports md esports https github com ethanj11 final project blob master esports md past python project https github com ethanj11 final project blob master code md my experience and certifications https github com ethanj11 final project blob master certsandexp md | server |
|
Cosmos_Intruders | cosmos intruders cmis 435 mobile application development in progress for more details look at the ms and assignment at blackboard olat image https user images githubusercontent com 78967253 116073951 5adf8980 a691 11eb 8ade 21be4850d772 jpeg image https user images githubusercontent com 78967253 116073958 5c10b680 a691 11eb 8d0a 8e9af16095a1 jpeg image https user images githubusercontent com 78967253 116073961 5d41e380 a691 11eb 9911 d74f36695e06 jpeg | front_end |
|
Micro-Frontend-for-Streaming-Application | micro frontend for streaming application welcome to the micro frontend architecture for a streaming application this repository presents the design for a modular and scalable streaming platform employing the micro frontend approach this architecture aims to enhance flexibility scalability and user experience by dividing the application into distinct and independent micro frontends give a star if you liked this project or found it helpful then please give it a star thanks architecture diagram here micro frontend for streaming application png download get a pdf version micro frontend for streaming application pdf user interface the user interface ui layer is responsible for presenting the application s visual components to users and handling their interactions it ensures a smooth and intuitive experience by providing an appealing and responsive interface micro frontends the application is composed of several micro frontends each responsible for a specific functionality or feature the micro frontends included in this architecture are home using next js the home micro frontend built with next js serves as the landing page for users it showcases featured shows movies and trending content to captivate users attention show movie catalog using next js this micro frontend powered by next js focuses on presenting the extensive catalog of shows and movies available for streaming it provides users with the ability to explore genres view details and select content for playback user subscription using react the user subscription micro frontend developed in react manages user profiles preferences and subscription details it ensures that users have a personalized and tailored experience search using react the search micro frontend created with react empowers users to easily search for their preferred shows and movies it offers a seamless and efficient search experience player playback using video js the player playback micro frontend utilizes video js to handle the actual playback of selected content it provides essential playback controls and ensures smooth and high quality streaming recommendations using react the recommendations micro frontend also built with react utilizes user preferences and viewing history to offer personalized content recommendations it enhances the user experience by suggesting relevant shows and movies shared services authentication using auth0 the authentication shared service employs auth0 a popular identity and access management platform to handle user authentication and authorization it provides secure user authentication manages user sessions and ensures that only authorized users can access protected resources state management using redux the state management shared service utilizes redux a predictable state container for javascript applications it provides a centralized state management solution allowing different micro frontends to access and update shared application state efficiently api communication using graphql the api communication shared service leverages graphql a query language for apis to facilitate efficient and flexible communication between the micro frontends and the backend services graphql enables clients to request specific data and reduces over fetching or under fetching of data event handling using rxjs the event handling shared service uses rxjs a reactive programming library to manage and handle asynchronous events within the micro frontend architecture it enables efficient event driven communication and provides tools for managing complex event streams routing and composition using single spa the routing and composition layer is implemented using single spa a javascript framework for building micro frontend applications it handles the routing and composition of the different micro frontends allowing them to coexist within the same application and seamlessly navigate between them single spa ensures that the appropriate micro frontend is loaded based on the user s actions providing a cohesive user experience api gateway using apigee the api gateway implemented using apigee serves as a centralized entry point for client requests it acts as a mediator between the client and the micro frontends handling tasks such as request routing security protocol translation and caching the api gateway simplifies client side integration by providing a unified api interface and enhancing the overall performance scalability and security of the system backend services backend services are the backbone that empowers the micro frontends these services are responsible for diverse tasks including data storage intricate business logic and seamless integration with external systems in the realm of the streaming architecture these backend services undertake pivotal roles such as content management user preferences playback history and real time recommendations they furnish the essential functionality and data essential for the micro frontends to orchestrate a comprehensive and immersive streaming experience conclusion the micro frontend architecture for the streaming application ensures a modular scalable and interactive streaming experience by leveraging independent micro frontends like player playback and utilizing shared services like authentication state management api communication and event handling this architecture fosters streamlined development and maintenance the implementation of video js in the player playback micro frontend combined with the use of shared services results in an engaging and user centric streaming platform share care if you think this project is helpful share it on twitter https twitter com intent tweet url https github com navanathjadhav micro frontend for streaming application contribute you are always welcome to help to make this project more knowledgeable and helpful for other developers submit a pr | apigee auth0 graphql microfrontend microfrontends nextjs react reactjs redux rxjs single-spa streaming videojs | server |
bcna | bitcanna blockchain bitcanna provides a decentralized payment network supply chain and trust network for the legal cannabis industry by utilizing the bcna coin current version v2 0 3 https github com bitcannaglobal bcna releases tag v2 0 3 of our development uses cosmos sdk v0 46 14 cometbft v0 34 29 ibc go v6 1 1 these docs at github are chain related for more information about our coin partners and roadmap visit our website https www bitcanna io our docs platform https docs bitcanna io hardware requirements here are the minimal hardware configs required for running a validator sentry node 8gb ram 4vcpus 8vcpus is recommended 200gb 300gb ssd disk space per year nvme disks are recommended 400 mbit s bandwidth 800mbit s 1gbit s recommended software requirements linux server ubuntu 20 22 server recommended go version v1 20 5 please avoid cheap vps providers as a main validator we suggest using it as a cheap backup we advise to use a shared dedicated server or a high end nvme vps genesis file link to genesis file https raw githubusercontent com bitcannaglobal bcna main genesis json binary upgrades table upgrade date upgrade height binary path release github release notes 7th nov 2022 15 00h cet 5 787 420 v1 5 3 https github com bitcannaglobal bcna releases download v1 5 3 bcna linux amd64 tar gz link https github com bitcannaglobal bcna releases tag v1 5 3 doc https github com bitcannaglobal bcna blob main last upgrade md v153 codename trichomemonster ica from v145 2nd mar 2023 16 20h cet 7 467 420 v1 6 0 fix https github com bitcannaglobal bcna releases download v1 6 0 fix bcna linux amd64 tar gz link https github com bitcannaglobal bcna releases tag v1 6 0 fix doc https github com bitcannaglobal bcna blob main last upgrade md v160 fix codename vigorous grow from v153 10th mar 2023 18 40h cet 7 585 420 v1 6 1 https github com bitcannaglobal bcna releases download v1 6 1 bcna linux amd64 tar gz link https github com bitcannaglobal bcna releases tag v1 6 1 doc https github com bitcannaglobal bcna blob main last upgrade md v161 codename vigorous grow fix from v161 30th may 2023 15 40h cest 8 771 420 v1 7 0 https github com bitcannaglobal bcna releases download v1 7 0 bcna linux amd64 tar gz link https github com bitcannaglobal bcna releases tag v1 7 0 doc https github com bitcannaglobal bcna blob main last upgrade md v170 codename vigorous grow huckleberry from v163 29th jun 2023 16 20h cest 9 209 420 v2 0 2 https github com bitcannaglobal bcna releases download v2 0 2 bcna linux amd64 tar gz link https github com bitcannaglobal bcna releases tag v2 0 2 doc https github com bitcannaglobal bcna blob main last upgrade md current version https github com bitcannaglobal bcna releases tag v2 0 3 how to join bitcanna 1 chain tip at the end of this doc you will find links with important info the necessary steps to join to bitcanna 1 chain are 1 install compile last binary check this link https github com bitcannaglobal bcna blob main 1 install compile md to find instructions to install or compile our latest release 2 sync the chain you can sync the chain in your server to run a validator or a simple node peer select one method of the below 2 1 sync using a statesync snapshot server this is the recommended option for new nodes validators by downloading the statesync script you will sync the last blocks of the chain from two bitcanna statesync servers the script will setup your folder and config if you start a fresh install if your node validator exist will make a backup syncing and restoring the backup at the end of the script choose the best that fits you https github com bitcannaglobal bcna blob main 2 1 statesync md 2 2 sync using a snapshot file this is an alternative way to get synced without having to download the entire chain block by block recommended for advanced users in cosmos chains https github com bitcannaglobal bcna blob main 2 2 snapshot md 3 create a validator your node must be fully synced in order to send the tx of validator creation and start to validate the network you can check if your node has fully synced by comparing your logs and the latest block in the explorer https explorer bitcanna io you will need coins send coins to your new address you will need roughly 2 bcna to run the validator 1 bcna for self delegation and a bit more for transactions https app osmosis zone https app rango exchange https coinmerce io 1 set the chain id parameter bcnad config chain id bitcanna 1 2 create a wallet you may create a wallet with one or more keys addresses using bcnad you can choose a name of your own liking we strongly advice you use one word bcnad keys add myfirstaddress name myfirstaddress type local address bcna14shzreglay98us0hep44hhhuy7dm43snv38plr pubkey bcnapub1addwnpepqvtpzyugupvcu773rzdcvhele6e22txy2zr235dn7uf8t2mlqcarcyx2gg9 mnemonic threshold 0 pubkeys deposit daring slim glide hello dolphin expire stoner cluster vivid orphan work pond section client friend yellow west hamster torch settle island opinion gloom it is very important to write this mnemonic phrase in a safe place it is the only way to recover your account if you ever forget lose your password deposit daring slim glide hello dolphin expire stoner cluster vivid orphan work pond section client friend yellow west hamster torch settle island opinion gloom 3 send the create validator tx we recommend you read the faq chain s guide https github com bitcannaglobal bcna blob main faq chain md to understand all parameters be aware that some values are permanent and cannot be changed at a later date when you have your node synced and your wallet funded with coins send the tx to become validator change wallet name and moniker you can use quotes to include spaces and more than two words from royal queen seeds bcnad tx staking create validator amount 1000000ubcna commission max change rate 0 10 commission max rate 0 2 commission rate 0 1 from wallet name min self delegation 1 moniker your moniker pubkey bcnad tendermint show validator chain id bitcanna 1 gas auto gas adjustment 1 5 gas prices 0 001ubcna you can check the list of validators also in explorer https explorer bitcanna io validators bcnad query staking validators output json jq 4 backup the keys and config making a backup of the validator private keys and node keys is very important store them encrypted also 1 backup your validator priv key tar czvf validator key tar gz bcna config key json gpg o validator key tar gz gpg ca validator key tar gz rm validator key tar gz this will create a gpg encrypted file with both key files you can download the validator key tar gz gpg file to your computer 2 export the wallet key if you have backup the seeds keys is enough bcnad keys export myfisrstaddress enter passphrase to encrypt the exported key passwordforcryptthiskey enter keyring passphrase thewalletpassword begin tendermint private key salt bec519da3c1a3bdfc74d799fe983ca6c type secp256k1 kdf bcrypt tfgud11614drcordnmujam c fbpbafkybshv qbq8o9nqjdqcpuxtozsylkyopk fygegitfk980jjufdte25bpfjr22csjjm qzx0y vchm end tendermint private key you can copy paste the entire text above in a text file 5 cosmovisor cosmovisor is a small process manager for cosmos sdk application binaries to handle chain upgrades it works for upgrades that has been approved through governance proposals in these type of governance proposals the upgrade name and block height is included if cosmovisor finds the requirements for this upgrade in the logs of the chain binary it stops the current binary switch from the old binary to the new one and finally restarts the node with the new binary follow this guide to install cosmovisor on your node https github com bitcannaglobal bcna blob main 5 cosmovisor md links to important info explorers bitcanna based on forbole https explorer bitcanna io mintscan based on cosmostation https www mintscan io bitcanna ping pub explorer https ping pub bitcanna uptime atomscan explorer https atomscan com bitcanna wallets bitcanna web wallet https wallet bitcanna io ping pub web wallet https ping pub wallet accounts cosmostation ios https apps apple com kr app cosmostation id1459830339 cosmostation android https play google com store apps details id wannabit io cosmostaion genesis file bitcanna 1 https raw githubusercontent com bitcannaglobal bcna main genesis json peer seeds and public service providers bitcanna chain registry https github com bitcannaglobal bcna blob main chain registry json mandatory for team s delegation program bitcanna devet 1 chain registry https github com bitcannaglobal bcna blob main devnets bitcanna dev 1 chain registry json mandatory for team s delegation program cosmos chain registry https github com cosmos chain registry tree master bitcanna archived guides faqs docs bitcanna docs https docs bitcanna io github testnet devnet archive https github com bitcannaglobal testnet bcna cosmos tree main instructions current devnet https github com bitcannaglobal bcna tree main devnets bitcanna dev 1 old instructions guide https github com bitcannaglobal bcna blob main archived guides instructions md how to perform a manual upgrade https github com bitcannaglobal bcna blob main archived guides manual update md how to perform an upgrade with cosmovisor v5 0 https github com bitcannaglobal bcna blob main 5 cosmovisor md tags doc github | blockchain cannabis cryptocurrency decentralized ledger p2p payments | blockchain |
HLearn | hlearn https travis ci org mikeizbicki hlearn svg hlearn is a high performance machine learning library written in haskell http haskell org for example it currently has the fastest nearest neighbor implementation for arbitrary metric spaces see this blog post http izbicki me hlearn is also a research project the research goal is to discover the best possible interface for machine learning this involves two competing demands the library should be as fast as low level libraries written in c c fortran assembly but it should be as flexible as libraries written in high level languages like python r matlab julia http julialang org is making amazing progress in this direction but hlearn is more ambitious in particular hlearn s goal is to be faster than the low level languages and more flexible than the high level languages to achieve this goal hlearn uses a very different interface than standard learning libraries the h in hlearn stands for three separate concepts that are fundamental to hlearn s design 1 the h stands for haskell http haskell org machine learning is about estimating functions from data so it makes sense that a functional programming language would be well suited for machine learning but functional programming languages are not widely used in machine learning because they traditionally lack strong support for the fast numerical computations required for learning algorithms hlearn uses the subhask http github com mikeizbicki subhask library to get this fast numeric support in haskell the two libraries are being developed in tandem with each other languages like agda coq idris provide more advanced type systems but their compilers lack the support for real world optimizations needed for numerical applications haskell strikes a nice balance 1 the h stands for homomorphisms https en wikipedia org wiki homomorphism homomorphisms are a fundamental concept in abstract algebra https en wikipedia org wiki abstract algebra and hlearn exploits the algebraic structures inherrent in learning systems the following table gives a brief overview of what these structures give us structure what we get monoid parallel batch training monoid online training monoid fast cross validation abelian group untraining of data points abelian group more fast cross validation r module weighted data points vector space fractionally weighted data points functor fast simple preprocessing of data monad fast complex preprocessing of data 1 the h stands for the history monad https github com mikeizbicki hlearn blob master src hlearn history hs one of the most difficult tasks of developing a new learning algorithm is debugging the optimization procedure there has previously been essentially no work on making this debugging process easier and the history monad tries to solve this problem it lets you thread debugging information throughout the optimization code without modifying the original code furthermore there is no runtime overhead associated with this technique the downside of hlearn s ambition is that it currently does not implement many of the popular machine learning techniques more documentation due to the rapid pace of development hlearn s documentation is sparse that said the examples https github com mikeizbicki hlearn tree master examples folder is a good place to start the haddock documentation embedded within the code is decent but unfortunately hackage is unable to compile the haddocks because it uses an older version of ghc hlearn has several academic papers icml15 faster cover trees http izbicki me public papers icml2015 faster cover trees pdf icml13 algebraic classifiers a generic approach to fast cross validation online training and parallel training http izbicki me public papers icml2013 algebraic classifiers pdf tfp13 hlearn a machine learning library for haskell http izbicki me public papers tfp2013 hlearn a machine learning library for haskell pdf there are also a number of blog posts on my personal website http izbicki me unfortunately they are mostly out of date with the latest version of hlearn they might help you understand some of the main concepts in hlearn but the code they use won t work at all the categorical distribution s monoid group module structure http izbicki me blog the categorical distributions algebraic structure the categorical distribution s functor monad structure http izbicki me blog functors and monads for analyzing data markov networks monoids and futurama http izbicki me blog markov networks monoids and futurama solving np complete problems with hlearn and how to write your own homtrainer instances http izbicki me public papers monoids for approximating np complete problems pdf nuclear weapon statistics using monoids groups and modules http izbicki me blog nuclear weapon statistics using monoids groups and modules in haskell gaussian distributions form a monoid http izbicki me blog gausian distributions are monoids hlearn cross validates 400x faster than weka http izbicki me blog hlearn cross validates 400x faster than weka hlearn s code is shorter and clearer than weka s http izbicki me blog hlearns code is shorter and clearer than wekas contributing if you want to contribute i d be happy to help you get started i d love to have you contribute and i d be happy to help you get started just create an issue https github com mikeizbicki hlearn issues to let me know you re interested and we can work something out | ai |
|
blockchain-certification | certificate generation and validation using blockchain docker build https img shields io docker pulls yogdaan blockchain certification label docker 20pulls style flat square https hub docker com r yogdaan blockchain certification build status https travis ci org yogdaan blockchain certification svg branch master https travis ci org yogdaan blockchain certification join the chat at https gitter im yogdaan blockchain certification https img shields io gitter room certification validation community js svg style for the badge https gitter im yogdaan blockchain certification deploy https www herokucdn com deploy button png https heroku com deploy built using ethereum on local blockchain setup and deployed on rinkeby test network contract deployed at 0x89c34c6a0d4c7587e9120a533757f380f4676887 rpc network rinkeby test network steps to set up local development environment setting local blockchain 1 we need to install cli version of ganache bash npm install g ganache cli ganache provides us our personal local blockchain network which we can use to develop our blockchain application it also gives temporary test accounts with fake ethereum which we can use to run our apps we need to start the rpc server before running our application 1 to start the rpc server run the command bash npm run ganache windows user will need to run this command in separate command prompt or terminal 1 deploy the smart contract to the local blockchain bash npm run contract deploy the above 2 steps need to be run everytime you are running the project setting local database mongodb server should be running as a background process 1 open mongo in terminal using command mongo 1 then change the db using command bash use certification 1 then set db user and password with the following command javascript db createuser user your user name pwd your user password roles role dbowner db certification 1 include these username and password in the env file now we can start the server bash npm start deploying smart contract the contract can be deployed in any test networks we are using rinkeby test network with help of truffle 1 first of all we need to have a metamask account when we create an account in metamask a mnemonic is given to us you can read how to get a mnemonic here https support dex top hc en us articles 360004125614 how to create mnemonic phrase with metamask 1 after that create a project in infura https infura io this will help us to use rinkeby network through infura 1 you will get an endpoint like this https rinkeby infura io yourapikey 1 create a env file in root directory and paste the previously genrated mnemonic and the endpoint url in that an example is also provided in env example env example file for running in development environment and to use local blockchain network use the local endpoint variable and replace the url with your own local url these default values are filled already and shouldn t be changed unless until rpc server running on different port 1 now you can deploy the smart contract using a single command bash npm run deploy 1 you will get a contract address of newly generated contract save this for further uses testing app to test the app run the command truffle test rpc server should be running to run the tests useful reads some instructions and commands for debugging in truffle console instructions commands md youtube video for better understanding of the project youtube picture https img youtube com vi pbyqlmcx7bk maxresdefault jpg https www youtube com watch v pbyqlmcx7bk developers saurabh thakur https github com thakursaurabh1998 st https avatars0 githubusercontent com u 18613564 s 50 | ethereum ethereum-dapp web3js nodejs react docker blockchain certificates certificate-generation certificate-transparency truffle rinkeby-network mnemonic rpc-server certificate metamask ganache infura | blockchain |
PST | pst source code for ijcai 2022 long paper parameter efficient sparsity for large language models fine tuning introduction with the dramatically increased number of parameters in language models sparsity methods have received ever increasing research focus to compress and accelerate the models while most research focuses on how to accurately retain appropriate weights while maintaining the performance of the compressed model there are challenges in the computational overhead and memory footprint of sparse training when compressing large scale language models to address this problem we propose a parameter efficient sparse training pst method to reduce the number of trainable parameters during sparse aware training in downstream tasks specifically we first combine the data free and data driven criteria to efficiently and accurately measure the importance of weights then we investigate the intrinsic redundancy of data driven weight importance and derive two obvious characteristics i e low rankness and structuredness based on that two groups of small matrices are introduced to compute the data driven importance of weights instead of using the original large importance score matrix which therefore makes the sparse training resource efficient and parameter efficient you can refer to our paper https arxiv org abs 2205 11005 for more details repository overview there are several directories in this repo pst contains the source code for the package pst nlg contains an example implementation of pst in gpt 2 using our package which can be used to reproduce the result in our paper nlu contains an example implementation of pst in bert and roberta using our package which can be used to reproduce the result in our paper quickstart 1 install the dependencies bash pip3 install r requirement txt 2 import pst library bash export pythonpath pwd pythonpath 3 training network in nlu nlu and nlg nlg citation if you use this work or code please kindly cite the following paper bib inproceedings li etal 2022 pst title parameter efficient sparsity for large language models fine tuning author yuchao li and fuli luo and chuanqi tan and mengdi wang and songfang huang and shen li and junjie bai booktitle 31th international joint conference on artificial intelligence year 2022 | ai |
|
eth-tweet | decentralized twitter this repository contains the code of a decentralized microblogging service running on the ethereum https ethereum org blockchain the service provides basic twitter like functionality to tweet messages of up to 160 characters here decentralization means there is no company or central authority in control of what is being published the system is censorship resistant in the sense that once a message is published it can only be removed by the publisher all accounts can receive donations in ethereum s ether crypto currency being able to receive donations can be an incentive to run a decentralized microblogging feed to not expose the user s social graph to the world following other accounts is not supported on purpose if you want to edit the source files you can use ethereum s mix ide which can be found here https github com ethereum webthree umbrella releases in the repository there is a mix ide project file called mix it also contains some test cases used during development mix can simulate a local blockchain for testing contents install install read tweets in the web browser read tweets in the web browser using the geth command line using the geth command line read tweets on the command line read tweets on the command line ether ether create an account create an account post a new tweet post a new tweet register account name register account name browse accounts browse accounts solidity api solidity api web3 javascript api web3 javascript api contributors contributors install install geth https www ethereum org cli and start it by entering geth rpc rpccorsdomain http ethertweet net read tweets in the web browser with geth running open http ethertweet net ui http ethertweet net ui in your web browser you should see a menu of existing accounts and the corresponding tweets as shown in this picture ethertweetscreenshot http ethertweet net ethertweetscreenshot png using the geth command line posting tweets is not yet supported using the web browser instead you have to use the geth command line after starting geth as shown above open a second shell and start the interactive geth interface by running geth attach your prompt should change to as a test get the status by entering eth you should see various ethereum statistics like the current block number all commands below assume you are in the interactive geth interface read tweets on the command line an example how to read tweets of an existing account see section browse accounts below to learn how to explore all existing accounts create a local variable tweetaccount to point to the existing account here the address of the test account 0x9e82d1745c6c9c04a6cfcde102837cf0f25efc56 is used change this address in the code block below to read tweets of other accounts copy the following code block and paste it into the interactive geth interface var tweetaccount web3 eth contract constant true inputs name getowneraddress outputs name adminaddress type address type function constant false inputs name admindeleteaccount outputs type function constant false inputs name receiver type address name adminretrievedonations outputs type function constant true inputs name getlatesttweet outputs name tweetstring type string name timestamp type uint256 name numberoftweets type uint256 type function constant true inputs name isadmin outputs name isadmin type bool type function constant true inputs name tweetid type uint256 name gettweet outputs name tweetstring type string name timestamp type uint256 type function constant true inputs name getnumberoftweets outputs name numberoftweets type uint256 type function constant true inputs name tweetstring type string name tweet outputs name result type int256 type function inputs type constructor at 0x9e82d1745c6c9c04a6cfcde102837cf0f25efc56 tweetaccount get latest tweet of the account with tweetaccount getlatesttweet expected result is hello world 1446832323 1 the resulting json array contains tweet string timestamp of tweet total number of tweets use a tool like unixtimestamp com http www unixtimestamp com to convert timestamps get total number of tweets tweetaccount getnumberoftweets get a specific tweet for example get the first tweet tweet number 0 tweetaccount gettweet 0 ether for account creation registration and tweeting you have to get ethereum s crypto currency ether you can either buy ether for dollar euro or trade ether for bitcoin instructions can be found here ethereum org ether https www ethereum org ether for example you can use the kraken com https kraken com crypto currency exchange pricing is as following date account creation price per tweet 2015 december 0 02384905 ether or 0 00420185 ether or 0 020 0 018 or 0 003 0 003 roughly 2 cents roughly one third of a cent 2016 march 0 00772476 ether or 0 00182126 ether or 0 10 0 09 or 0 02 0 02 or roughly 10 cents roughly two cents for current rates see the currency pairs eth usd or eth eur on kraken com charts https www kraken com charts if you like this project please consider sending donations in ether to 0x93a4a6c05c5cfb945f6ccaea223723561670c204 or donations in bitcoin to 3pyw7mnrjzpw13jfvendetft7dcxmfq4pd create an account create a new account and make it known to the world by registering an account name in the registry to be able to create an account you have to own some ether in the local account created by geth check local account balance web3 fromwei eth getbalance eth coinbase ether copy and paste the following block into the geth interface to deploy your account code to the ethereum blockchain var mytweetaccount web3 eth contract constant true inputs name getowneraddress outputs name adminaddress type address type function constant false inputs name admindeleteaccount outputs type function constant false inputs name receiver type address name adminretrievedonations outputs type function constant true inputs name getlatesttweet outputs name tweetstring type string name timestamp type uint256 name numberoftweets type uint256 type function constant true inputs name isadmin outputs name isadmin type bool type function constant true inputs name tweetid type uint256 name gettweet outputs name tweetstring type string name timestamp type uint256 type function constant true inputs name getnumberoftweets outputs name numberoftweets type uint256 type function constant true inputs name tweetstring type string name tweet outputs name result type int256 type function inputs type constructor new from web3 eth accounts 0 data 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 gas 3000000 function e contract if typeof contract address undefined console log e contract console log contract mined address contract address transactionhash contract transactionhash if you are curious how this ethereum byte code was created have a look at the deploy directory in this repository also have a look at the tweetaccount sol source file it contains a lot of comments to explain what the code does after some time you should see a message like contract mined address 0x9e82d1745c6c9c04a6cfcde102837cf0f25efc56 transactionhash 0xd458166ead4d6d398fd0c76616d57093798e86716dd4169d2846295223768f1f congratulations you just wrote your first code to the blockchain and successfully created your account you can use the adminretrievedonations function to withdraw donations your account received see solidity api section below section register account name explains how you can assign a name to this account address so others can find your account by name post a new tweet this example tweets hello world with the mytweetaccount created above mytweetaccount tweet sendtransaction hello world from eth coinbase gas 200000 note that you have to own ether to be able to tweet see previous example how to check your account balance you should see a message like i1210 13 33 35 411646 58618 xeth go 1028 tx 0x8b253799a87efd08133e4f2b7dcece785a05d6de075c92435da48cb61009ac7e to 0x9e82d1745c6c9c04a6cfcde102837cf0f25efc56 in the geth logs check mytweetaccount getlatesttweet should display hello world 1449750863 1 that means latest tweet is hello world tweetet at unix timestamp 1449750863 with a total of 1 tweets for this account use a tool like unixtimestamp com http www unixtimestamp com to convert timestamps more checks mytweetaccount getnumberoftweets should return 1 mytweetaccount gettweet 0 should return hello world 1449750863 1 if you want to post another tweet at a later time do the following define a variable for your tweet account as described in section reading tweets on the command line post a new tweet by creating a transaction with tweet sendtransaction as descibed in this section register account name to make your account known to the world give it a name and register it in the account registry then others only have to remember your account name and do not need to write down the long and complicated account address create a variable for the account registry copy and paste the following block into the geth interface var tweetregistry eth contract constant false inputs name name type string name adminunregister outputs type function constant false inputs name name type string name accountaddress type address name register outputs name result type int256 type function constant true inputs name getnumberofaccounts outputs name numberofaccounts type uint256 type function constant false inputs name adminretrievedonations outputs type function constant true inputs name name type string name getaddressofname outputs name addr type address type function constant false inputs name admindeleteregistry outputs type function constant false inputs name accountadmin type address name adminsetaccountadministrator outputs type function constant false inputs name registrationdisabled type bool name adminsetregistrationdisabled outputs type function constant true inputs name addr type address name getnameofaddress outputs name name type string type function constant false inputs name unregister outputs name unregisteredaccountname type string type function constant true inputs name id type uint256 name getaddressofid outputs name addr type address type function inputs type constructor at 0xe0f278b72097e563b09d7dc94c6f75aff5e83298 tweetregistry register account name test for the account mytweetaccount from the previous example into the tweetregistry please note you have to use a different account name than test since it is already taken tweetregistry register sendtransaction test mytweetaccount address from eth coinbase gas 200000 browse accounts access accounts by name without having to use the account address directly you can also look up all existing accounts use the tweetregistry variable created in the previous section to look up accounts once you know the address of the account you want to read use instructions in section read tweets to continue get address of account called test tweetregistry getaddressofname test get total amount of accounts registered tweetregistry getnumberofaccounts get address of the first account registered ever tweetregistry getaddressofid 0 change id to iterate over all accounts get name of account address tweetregistry getnameofaddress 0x36b47d7c8fef8daf5d0b4477dcc8def158d4255f solidity api this decentralized app is written in the solidity programming language documentation is available at solidity readthedocs org http solidity readthedocs org have a look at the readme md in the deploy directory of this repository it explains how compilation from solidity source code to the ethereum byte code was done the tweetaccount sol source file contains a lot of comments to explain what the code does contract tweetaccount function tweetaccount function getowneraddress constant returns address adminaddress function admindeleteaccount function adminretrievedonations address receiver function getlatesttweet constant returns string tweetstring uint256 timestamp uint256 numberoftweets function isadmin constant returns bool isadmin function gettweet uint256 tweetid constant returns string tweetstring uint256 timestamp function getnumberoftweets constant returns uint256 numberoftweets function tweet string tweetstring constant returns int256 result contract tweetregistry function tweetregistry function adminunregister string name function register string name address accountaddress returns int256 result function getnumberofaccounts constant returns uint256 numberofaccounts function adminretrievedonations function getaddressofname string name constant returns address addr function admindeleteregistry function adminsetaccountadministrator address accountadmin function adminsetregistrationdisabled bool registrationdisabled function getnameofaddress address addr constant returns string name function unregister returns string unregisteredaccountname function getaddressofid uint256 id constant returns address addr web3 javascript api geth uses javascript in its interactive interface documentation is available here https github com ethereum wiki wiki javascript api the javascript code used in the examples above was created automatically on deploy see the readme md in the deploy directory for more information the files deploy tweet account deploy interface txt and deploy tweet registry deploy interface txt contain the actual javascript interface more geth commands get your account address called coinbase eth coinbase you should see an ethereum account address starting with 0x get number of pending transactions eth getblocktransactioncount pending contributors digitaldonkey web browser user interface https github com digitaldonkey ethtweetui links https news ycombinator com item id 10711843 https www reddit com r ethereum comments 3w8za8 decentralised twitter microblogging on the http korben info un clone de twitter qui utilise la blockchain html http www btc echo de rise of the dapps sieben dezentralisierte apps auf ethereum blockchain 2016022702 http www coindesk com 7 cool decentralized apps built ethereum license gpl v3 http choosealicense com licenses gpl 3 0 copyright c 2015 2016 jahn bertsch this program 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 in version 3 this program 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 you should have received a copy of the gnu general public license along with this program if not see http www gnu org licenses | ethereum microblogging twitter | blockchain |
head-first-flask | cover https raw githubusercontent com ethan funny head first flask master cover small jpg flask web flask python web https wiki python org moin webframeworks django 1 flask 2 tornado 3 bottle 4 web py 5 django all in one flask web flask flask tornado flask web flask jinja2 flask 6000 flask flask flask flask web python html 1 flask 2 flask flask 3 flask web todo 4 funhacks 6 cc by nc nd 4 0 7 1 2 version 1 0 2016 08 22 2016 09 10 v1 0 8 github 9 twitter 10 1 https www djangoproject com 2 http flask pocoo org 3 https github com tornadoweb tornado 4 https github com bottlepy bottle 5 http webpy org 6 http funhacks net 7 http creativecommons org licenses by nc nd 4 0 deed zh 8 http funhacks net 9 https github com ethan funny 10 https twitter com pihacks | front_end |
|
whitepaper-bem | whitepaper bem license https badgen net github license whitepapertools whitepaper bem https github com whitepapertools whitepaper bem blob master license npm version https badgen net npm v whitepaper bem https www npmjs com package whitepaper bem release https badgen net github release whitepapertools whitepaper bem https github com whitepapertools whitepaper bem releases latest cdn html doctype html html head link rel stylesheet href https whitepaper tools cdn whitepaper 2 3 3 min css head body body html npm whitepaper html npm install whitepaper bem pull request | whitepaper bem postcss wtpr | os |
EasyNLP | h1 align center img src documents files logo png height 130 h1 p align center a href https github com nrgeup img src https img shields io badge author nrgeup blue svg a a href https pypi org project easynlp img src https img shields io pypi v easynlp svg a a href https pypi org project easynlp img src https img shields io pypi pyversions easynlp svg a a href https github com nrgeup easynlp blob master license img alt license mit src https img shields io badge license mit yellow svg target blank a a href https easynlp readthedocs io en latest badge latest img src https readthedocs org projects easynlp badge version latest alt documentation status a p an easy to use toolkit for natural language processing tasks table of contents installation installation examples examples documentation https easynlp readthedocs io en latest faq faq license license installation bash pip install easynlp user examples python import easynlp easynlp start print import successful documentation https easynlp readthedocs io en latest faq what is the purpose of building this package for me just for fun and learning in practice for users i hope to help them build the entire code framework to solve nlp tasks more easily why is the function of this package so imperfect i am working hard to expand more functions license license http img shields io license mit blue svg http badges mit license org | pytorch natural-language nlp toolkit template | ai |
VERDICT | verdict tools for architectural and behavioral analysis of aadl models darpa cyber assured systems engineering case program the goal of the darpa case https www darpa mil program cyber assured systems engineering program is to develop the necessary design analysis and verification tools to allow system engineers to design in cyber resiliency and manage tradeoffs as they do other nonfunctional properties when designing complex embedded computing systems cyber resiliency means the system is tolerant to cyberattacks in the same way that safety critical systems are tolerant to random faults they recover and continue to execute their mission function achieving this goal requires research breakthroughs in the elicitation of cyber resiliency requirements before the system is built the design and verification of systems when requirements are not testable i e when they are expressed in shall not statements tools to automatically adapt software to new non functional requirements and techniques to scale and provide meaningful feedback from analysis tools that reside low in the development tool chain img src docs images case program diagram png alt case program diagram width 750 case program diagram docs images case program diagram png verdict workflow verdict is a framework to perform analysis of a system at the architectural level it consists of two major functionalities model based architecture analysis and synthesis mbaas and cyber resiliency verification crv verdict user starts with capturing an architectural model using aadl that represents the high level functional components of the system along with the data flow between them and then annotate the model with verdict properties relations and requirements for analysis the verdict mbaa back end tool will analyze the architecture to identify cyber vulnerabilities and recommend defenses user may also use the verdict mbas feature to synthesize a minimal set of defenses with respect to their implementation costs verdict also supports refinement of the architecture model with behavioral modeling information using agree the verdict crv back end tool performs a formal analysis of the updated model with respect to formal cyber properties to identify vulnerabilities to cyber threat effects this valuable capability provides an additional depth of analysis of a model that includes behavioral details of the architectural component models which will help to catch design mistakes earlier in the development process img src docs images verdict workflow diagram png alt verdict workflow diagram width 750 verdict workflow diagram docs images verdict workflow diagram png publications if you are citing verdict project please use the following bibtex entries latex article systems9010018 author meng baoluo and larraz daniel and siu kit and moitra abha and interrante john and smith william and paul saswata and prince daniel and herencia zapana heber and arif m fareed and yahyazadeh moosa and tekken valapil vidhya and durling michael and tinelli cesare and chowdhury omar title verdict a language and framework for engineering cyber resilient and safe system journal systems volume 9 year 2021 number 1 article number 18 url https www mdpi com 2079 8954 9 1 18 issn 2079 8954 doi 10 3390 systems9010018 latex inproceedings siu2019architectural title architectural and behavioral analysis for cyber security author siu kit and moitra abha and li meng and durling michael and herencia zapana heber and interrante john and meng baoluo and tinelli cesare and chowdhury omar and larraz daniel and others booktitle 2019 ieee aiaa 38th digital avionics systems conference dasc pages 1 10 year 2019 organization ieee for a complete list of publications related to verdict please refer to the wiki page https github com ge high assurance verdict wiki publications distribution statement a approved for public release distribution unlimited copyright 2020 general electric company board of trustees of the university of iowa | cyber-resiliency behavioral-analysis architecture-analysis system-engineering fault-tree attack-defense model-checking | os |
http-client | c c ci https github com jiejietop http client workflows c c 20ci badge svg issues https img shields io github issues jiejietop http client https github com jiejietop http client issues forks https img shields io github forks jiejietop http client stars https img shields io github stars jiejietop http client license https img shields io github license jiejietop http client https github com jiejietop http client blob master license https img shields io badge platform linux windows mac embedded orange svg http client http api http client png httpclient png api client client pool client client http get post url url cpu cpu intercept http http http host port http http read and write network network tls tls mbedtls openssl tcp tcp routing dns platform socke at list v1 0 0 docs plan md pr https github com jiejietop docs plan md docs platform memory md docs platform timer md docs platform thread md docs platform mutex md socket docs platform net socket md tcp docs nettype tcp md tls docs nettype tls md docs routing md network docs network md docs utils md docs general md http docs event md url docs url parser md http docs message buffer md http docs request md http docs response md docs interceptor md docs work queue md http client docs client md pr docs how to pr md url docs test url parser md get docs test get md post docs test post md docs test redirect md docs test get file md linux linux cmake bash sudo apt get install y cmake gcc g main test test c test test c bash build sh build bin http client bash build bin http client pr pr docs how to pr md github issues https github com jiejietop http client issues bug http client apache license v2 0 https github com jiejietop http client blob master license star fork http client https github com jiejietop http client star fork a href https github com murphyzhao img height 90 width 90 src png contributors murphyzhao png a a href https github com lintex9527 img height 90 width 90 src png contributors lintex9527 png a | http http-client rtos linux tcpip http-parser cross-platform ssl mbedtls request https wget curl | os |
20mob-android-final-project | 20mob android final project final project android class mba fiap mobile development language kotlin design patterns mvvm clean architecture libs gson retrofit okhttp glide coroutines livedata viewmodel navigation firebase lottie koin | front_end |
|
Vue-jieyuan | my project a vue js project for practic build setup bash install dependencies npm install serve with hot reload at localhost 8080 npm run dev build for production with minification npm run build run unit tests npm test for detailed explanation on how things work consult the docs for vue loader http vuejs github io vue loader | front_end |
|
systemdesign | systemdesign system design by example | os |
|
Udacity-Data-Engineering-Projects | data engineering projects https github com san089 udacity data engineering projects blob master image jpeg project 1 data modeling with postgres in this project we apply data modeling with postgres and build an etl pipeline using python a startup wants to analyze the data they ve been collecting on songs and user activity on their new music streaming app currently they are collecting data in json format and the analytics team is particularly interested in understanding what songs users are listening to link data modeling with postgres https github com san089 udacity data engineering projects tree master data modeling with postgres project 2 data modeling with cassandra in this project we apply data modeling with cassandra and build an etl pipeline using python we will build a data model around our queries that we want to get answers for for our use case we want below answers get details of a song that was herad on the music app history during a particular session get songs played by a user during particular session on music app get all users from the music app history who listened to a particular song link data modeling with apache cassandra https github com san089 udacity data engineering projects tree master data modeling with apache cassandra project 3 data warehouse in this project we apply the data warehouse architectures we learnt and build a data warehouse on aws cloud we build an etl pipeline to extract and transform data stored in json format in s3 buckets and move the data to warehouse hosted on amazon redshift use redshift iac script redshift iac readme https github com san089 udacity data engineering projects blob master redshift iac readme md link data warehouse https github com san089 udacity data engineering projects tree master data warehouse project 4 data lake in this project we will build a data lake on aws cloud using spark and aws emr cluster the data lake will serve as a single source of truth for the analytics platform we will write spark jobs to perform elt operations that picks data from landing zone on s3 and transform and stores data on the s3 processed zone link data lake https github com san089 udacity data engineering projects tree master data lake project 5 data pipelines with airflow in this project we will orchestrate our data pipeline workflow using an open source apache project called apache airflow we will schedule our etl jobs in airflow create project related custom plugins and operators and automate the pipeline execution link airflow data pipelines https github com san089 udacity data engineering projects tree master airflow data pipelines project 6 api data to postgres in this project we build an etl pipeline to fetch data from yelp api and insert it into the postgres database this project is a very basic example of fetching real time data from an open source api link api to postgres https github com san089 udacity data engineering projects tree master data api to postgres capstone project udacity provides their own crafted capstone project with dataset that include data on immigration to the united states and supplementary datasets that include data on airport codes u s city demographics and temperature data i worked on my own open ended project br here is the link goodreads etl pipeline https github com san089 goodreads etl pipeline | data data-engineering data-engineering-pipeline etl-pipeline cassandra-database postgresql-database data-modeling data-warehouse data-lake airflow airflow-operators cluster cassandra infrastructure postgres aws aws-ec2 aws-sdk aws-s3 cloudformation | cloud |
pipelines-azureml | note this repo uses azure machine learning python sdk v1 and is not actively maintained for azure machine learning python sdk v2 examples see https github com azure azureml examples introduction this repo shows an e2e training and deployment pipeline with azure machine learning s cli for more info please visit azure machine learning cli documentation https docs microsoft com azure machine learning service reference azure machine learning cli this example requires some familiarity with azure pipelines or github actions for more information see here https docs microsoft com azure devops pipelines create first pipeline view azure devops tabs tfs 2018 2 instructions detailed instructions first fork or clone the repository to your own github account so that you can make modification to your pipelines from there follow these instructions to get the whole setup and demo up and running page facing up detailed step by step setup instructions docs getting started md page facing up short instructions if you are familar with azure machine learning and azure devops you can follow these shortend instructions 1 fork or clone this repo 2 create an azure machine learning workspace https docs microsoft com azure machine learning service setup create workspace named aml demo in a resource group named aml demo 3 create a new project in azure devops pipelines 4 goto project settings select service connections create a new connection of type azure resource manager select service principal automatic and configure it to the resource group of your machine learning workspace name it azmldemows for more details see here https docs microsoft com en us azure devops pipelines library service endpoints view azure devops or follow the tutorial docs intial setup md 5 create a new pipeline for the project point it to the pipelines diabetes train and deploy yml file in your forked github repo this defines an example pipeline 6 modify the pipelines diabetes train and deploy yml and change the ml rg variable to the azure resource group that contains your workspace you may also change the ml ws variable to the name of your azure machine learning service workspace 7 run the pipeline declare variables for ci cd pipeline in case you want to leverage an existing ml workspace you can customize it in the example pipeline pipelines diabetes train and deploy yml pipelines diabetes train and deploy yml yaml ml ws connection azmldemows workspace service connection name ml ws aml demo aml workspace name ml rg aml demo aml resource group name ml ct cpu cluster 1 aml compute cluster name ml path models diabetes model directory path in repo ml exp exp test experiment name ml model name diabetes model model name ml aks name aks prod aks cluster name run cli scripts to create training compute train model register model deploy model you can also manually emulate the example pipeline pipelines diabetes train and deploy yml on your machine by running the following commands make sure to substitue the variables from above bash az extension add n azure cli ml cd models diabetes az ml folder attach w ml ws g ml rg az ml computetarget create amlcompute n ml ct vm size standard d2 v2 max nodes 1 az ml run submit script c config train ct ml ct e ml exp t run json train py az ml model register n ml model name f run json asset path outputs ridge 0 95 pkl t model json az ml model deploy n diabetes qa aci f model json ic config inference config yml dc config deployment config aci yml overwrite az ml computetarget create aks name ml aks name cluster purpose devtest az ml model deploy name diabetes prod aks ct ml aks name f model json ic config inference config yml dc config deployment config aks yml overwrite further notes if you want to scope your project to your azure machine learning service workspace you can install the machine learning devops extension https marketplace visualstudio com items itemname ms air aiagility vss services azureml in your azure devops project | ai |
|
ITP-Project | online erp system enterprise resource planning system designed for a rice mill this containe erp system enterprise resource planning with php mysql bootstrap jquary ajax purpose this is 8 member group project for 2nd year 2nd semester at sliit sri lanka institute of information technology development setup 1 retrieve our project now git git clone git github com https github com kgmalith itp project git then rename the project name to itp full 2 requirements php mysql apache web browser javascript enabled internet connection with a reasonable speed 3 move project folder to htdocs folder if you cannot find the htdocs folder please follow the below links where to find htdocs in xampp mac https stackoverflow com questions 45518021 where to find htdocs in xampp mac find htdocs path no matter where file is stored https stackoverflow com questions 5536730 find htdocs path no matter where file is stored htdocs path in linux https stackoverflow com questions 1582851 htdocs path in linux https stackoverflow com questions 1582851 htdocs path in linux https stackoverflow com questions 44989243 unable to find htdocs on xampp 4 restore database goto phpmyadmin phpmyadmin http localhost phpmyadmin index php then create brand new database called itp and select import tab in the navigation bar then click choose file and go to htdocs itp full sql itp sql then hit go 5 start server admin view http localhost 8080 itp full login php login using following credentials for admin view username test password iphone7 after login you can create new admin account libraries jquery https jquery com bootstrap https getbootstrap com material design for bootstrap 4 https mdbootstrap com jquery sweetalert2 js https cdnjs cloudflare com ajax libs limonte sweetalert2 8 11 8 sweetalert2 js jquery datatables https datatables net jquery confirm js https craftpip github io jquery confirm sweet alert2 js https sweetalert2 github io datatables https datatables net jquery formvalidator http www formvalidator net index html bootstrap datepicker https github com uxsolutions bootstrap datepicker blob master docs index rst chartjs https www chartjs org screenshots path itp full screenshots thank you enjoy | server |
|
Learn-Web-Development-Checklist | html https developer mozilla org en us docs learn getting started with the web html basics html main tags playlist https www youtube com playlist list plbla84xge2 xntafnzhefjfbndrpyskd3 html link https www w3docs com learn html html html tag html head link https www w3docs com learn html html head tag html body link https www w3docs com learn html html body tag html script link https www w3docs com learn html html script tag html style link https www w3docs com learn html html style tag html link link https www w3docs com learn html html link tag html meta link https www w3docs com learn html html meta tag html html5 structural semantic elements article link https www w3docs com learn html html article tag html address link https www w3docs com learn html html address tag html aside link https www w3docs com learn html html aside tag html dialog link https www w3docs com learn html html dialog tag html details link https www w3docs com learn html html details tag html figure link https www w3docs com learn html html figure tag html main link https www w3docs com learn html html main tag html nav link https www w3docs com learn html html nav tag html header link https www w3docs com learn html html header tag html footer link https www w3docs com learn html html footer tag html summary link https www w3docs com learn html html summary tag html html elements and their attributes documents doctype link https www w3docs com learn html html doctype declaration html headings h1 h6 link https www w3docs com learn html html h1 h6 tags html paragraph p link https www w3docs com learn html html p tag html lists li ul dl link https www w3docs com learn html html lists html links a link https www w3docs com learn html html a tag html images img link https www w3docs com learn html html images html table table link https www w3docs com learn html html table html html formatting b bold text link https www w3docs com learn html html b tag html strong important text link https www w3docs com learn html html strong tag html small smaller text i italic text link https www w3docs com learn html html i tag html em emphasized text link https www w3docs com learn html html em tag html sub subscript link https www w3docs com learn html html sub tag html sup superscript link https www w3docs com learn html html sup tag html pre preformatted text link https www w3docs com learn html html pre tag html html comments link https www w3docs com learn html html comments html html forms link https www w3docs com learn html html form tag html input link https www w3docs com learn html html input tag html textarea link https www w3docs com learn html html textarea tag html button link https www w3docs com learn html html button tag html select link https www w3docs com learn html html select tag html option link https www w3docs com learn html html option tag html fieldset link https www w3docs com learn html html fieldset tag html label link https www w3docs com learn html html label tag html legend link https www w3docs com learn html html legend tag html css adding a css stylesheet to an html page using link css selectors article https css tricks com how css selectors work video https youtu be qj20o5uq3qi color article https css tricks com almanac properties c color using hex eg ff0000 rgb eg rgb 0 0 255 common color names eg red pink brown font article https css tricks com almanac properties f font family size weight text decoration article https css tricks com almanac properties t text decoration text transform article https css tricks com almanac properties t text transform line height article https developer mozilla org en us docs web css line height letter spacing article https developer mozilla org en us docs web css letter spacing word spacing article https developer mozilla org en us docs web css word spacing background color article https cssreference io property background color background image article https cssreference io property background image margin article https css tricks com almanac properties m margin article https cssreference io property margin padding article https developer mozilla org en us docs web css padding article https cssreference io property padding border article https css tricks com almanac properties b border width article https css tricks com almanac properties w width height article https css tricks com almanac properties h height percentage pixel em video https youtu be fi81bovqxxi box model article https css tricks com the css box model video https youtu be m1xei bbw1i list style article https css tricks com almanac properties l list style pseudo class article https css tricks com pseudo class selectors hover active visited position article https css tricks com almanac properties p position video https youtu be gd3g67opg w relative absolute fixed display article https css tricks com almanac properties d display block inline grid none class vs id article https css tricks com the difference between id and class javascript fundamentals javascript introduction article https developer mozilla org en us docs web javascript guide introduction what is javascript video https youtu be papg2tsofzg adding javascript to an html page using script article https www digitalocean com community tutorials html script tag console log article https www freecodecamp org news javascript console log example how to print to the console in js comments article https stackabuse com commenting code in javascript types and best practices variables article https www freecodecamp org news var let and const whats the difference video https egghead io lessons javascript working with var let const and block scopes af 5buvlr var video https youtu be dzeiewaoje0 let video https egghead io lessons javascript the let keyword in es6 af 5buvlr const video https egghead io lessons javascript const declarations in es6 es2015 data types article https developer mozilla org en us docs web javascript data structures string boolean number null undefined symbol video https youtu be 4j5hnocj69w typeof operator article https www freecodecamp org news javascript data types typeof explained string functions concat article https developer mozilla org en us docs web javascript reference global objects string concat length article https developer mozilla org en us docs web javascript reference global objects string length touppercase article https developer mozilla org en us docs web javascript reference global objects string touppercase tolowercase article https developer mozilla org en us docs web javascript reference global objects string tolowercase substring article https developer mozilla org en us docs web javascript reference global objects string substring split article https developer mozilla org en us docs web javascript reference global objects string split template literals article https developer mozilla org en us docs web javascript reference template literals video https egghead io lessons javascript use template literals to embed expressions in strings af 5buvlr operators arithmetic operators article https www w3schools com jsref jsref operators asp assignment operators article https developer mozilla org en us docs web javascript guide expressions and operators assignment operators article https developer mozilla org en us docs web javascript reference operators assignment ternary operators article https developer mozilla org en us docs web javascript reference operators conditional operator loops article https www freecodecamp org news javascript loops explained for loop for for article https developer mozilla org en us docs web javascript reference statements for while article https developer mozilla org en us docs web javascript reference statements while conditionals if else article https developer mozilla org en us docs web javascript reference statements if else switch article https developer mozilla org en us docs web javascript reference statements switch array article https www javascripttutorial net javascript array accessing elements article https developer mozilla org en us docs web javascript reference global objects array accessing array elements length article https developer mozilla org en us docs web javascript reference global objects array length array helper methods article https guptstagram medium com es6 array helper methods 54bec9066b9c video https youtu be r8rmfd9y5 c looping through elements map article https www freecodecamp org news javascript map how to use the js map function array method foreach article https www freecodecamp org news javascript foreach how to loop through an array in js slice article https www freecodecamp org news lets clear up the confusion around the slice splice split methods in javascript 8ba3266c29ae video https youtu be t1qdsauclzi splice article https developer mozilla org en us docs web javascript reference global objects array splice video https youtu be t1qdsauclzi filter video https egghead io lessons javascript filter an array with truthy values af 5buvlr push video https egghead io lessons javascript add elements onto an array with push af 5buvlr pop article https developer mozilla org en us docs web javascript reference global objects array pop shift unshift article https developer mozilla org en us docs web javascript reference global objects array shift isarray article https developer mozilla org en us docs web javascript reference global objects array isarray indexof article https developer mozilla org en us docs web javascript reference global objects array indexof video https egghead io lessons javascript check if a value is in an array with indexof af 5buvlr from video https egghead io lessons javascript converting an array like object into an array with array from af 5buvlr rest and spread video https youtu be doigxx7p ps object article https developer mozilla org en us docs web javascript guide working with objects creating an object article https developer mozilla org en us docs web javascript guide working with objects creating new objects accessing properties article https dmitripavlutin com access object properties javascript reference and value video https youtu be hbjz2ppive object destructuring article https dmitripavlutin com javascript object destructuring object keys article https developer mozilla org en us docs web javascript reference global objects object keys object getownpropertynames article https developer mozilla org en us docs web javascript reference global objects object getownpropertynames looping through properties of an object for of article https developer mozilla org en us docs web javascript reference statements for of for in article https developer mozilla org en us docs web javascript reference statements for in foreach keys article https masteringjs io tutorials fundamentals foreach object hasownproperty article https developer mozilla org en us docs web javascript reference global objects object hasownproperty functions article https javascript info function basics video https www youtube com watch v n8ap4k 1qeq ab channel programmingwithmosh named functions article https javascript info function basics function naming function expressions article https javascript info function expressions arrow functions article https javascript info arrow functions basics iife immediately invoked function expressions article https flaviocopes com javascript iife video https youtu be 3cbizv4h22c this keyword video https egghead io courses understand javascript s this keyword in depth af 5buvlr es6 classes video https www youtube com watch v bq jzy6skto ab channel freecodecamp org constructor inherting classes prototypal inheritance article https developer mozilla org en us docs web javascript inheritance and the prototype chain article https www educative io blog understanding and using prototypal inheritance in javascript video https egghead io lessons javascript understanding prototypal inheritance within javascript af 5buvlr inheriting properties extending properties accessing properties and methods settimeout video https www youtube com watch v z9ljb4d3njy ab channel codewithaniakub c3 b3w alert article https www educative io edpresso how to use the alert method in javascript json objects article https developer mozilla org en us docs web javascript reference global objects json json stringify article https developer mozilla org en us docs web javascript reference global objects json stringify json parse article https developer mozilla org en us docs web javascript reference global objects json parse web page and javascript playlist https youtube com playlist list pleclwwg6ei g3vbcg q6nef7ucxlyoqec document getelementbyid document getelementsbytagname document getelementsbyclassname document getelementsbyname document queryselector document queryselectorall createelement innerhtml innertext append remove appendchild style events addeventlistener removeeventlistener event preventdefault web fundamentals how does the web work article https developer mozilla org en us docs learn common questions how does the internet work how does a web browser work article https medium com monica1109 what happens when i type any url in the browser 3719c6357da2 http basics video https www youtube com watch v t3xrhaqx2tc ab channel oracledevelopers headers request response verbs put post delete patch post what is an api video https www youtube com watch v yzx7ihtcgbs ab channel codewithchris what is rest api video https www youtube com watch v lsmqraekndk ab channel ibmcloud article https www smashingmagazine com 2018 01 understanding using rest api what is graphql api video https www youtube com watch v vjxb3prl9wi ab channel leveluptuts article https medium com devgorilla what is graphql f0902a959e4 podcast https frontendhappyhour com episodes no rest with quintessential libations graphql what are crud operations article https www codecademy com articles what is crud what are cookies article https www freecodecamp org news everything you need to know about cookies for web development video https www youtube com watch v rdvpfleced8 ab channel createaprowebsite getting and setting cookies article https javascript info cookie what is local storage article https www smashingmagazine com 2010 10 local storage and how to use it what is session storage article https www javascripttutorial net web apis javascript sessionstorage what is a domain name video https www youtube com watch v y4crx19nhjk ab channel createaprowebsite what is dns lookup video https www youtube com watch v rck3balhi5c ab channel techquickie what is web hosting video https www youtube com watch v h8oavyqqwew ab channel createaprowebsite what is cors article https developer mozilla org en us docs web http cors article https javascript info fetch crossorigin aria what is accessibility article https developer mozilla org en us docs learn accessibility what is accessibility video https www youtube com watch v httyrajruyy list plnykxof6rcicwx0c9lvwwvqvhlyjyqw7g ab channel googlechromedevelopers step up css animations video https youtu be zhupx90nerm transition property keyframes animation property name duration timing function delay iteration count direction flexbox grid media query to build responsive sites css specificity article https css tricks com specifics on css specificity javascript bind call apply video https youtu be osjtmet11oq scopes hoisting video https youtu be fnlnw8uy6jo temporal dead zone video https youtu be bnc6slycj50 event bubbling video https youtu be avsf0b1jvkk event capturing video https youtu be avsf0b1jvkk promises video https youtu be 8ghhblbziw callbacks async await ajax xmlhttprequest generators making api calls using fetch axios video https youtu be 6lyagkorwya event loop video https youtu be 8aghzqkofbq closures article https eloquentjavascript net 03 functions html h hod yvxaku video https youtu be qikxeixsxco service workers browser events article https github com shrutikapoor08 blogs blob master jsbyte howtohandleevents md forms form properties and methods form events focus blur submit form validation article https github com shrutikapoor08 blogs blob master jsbyte formvalidation md react prerequisites article https www taniarascia com getting started with react prerequisites what is react article https www taniarascia com getting started with react what is react playlist https www youtube com playlist list pl4cuxegkcc9ij8cfkay2ragb tmknwqhg setup and installation article https www taniarascia com getting started with react setup and installation jsx javascript xml article https www taniarascia com getting started with react jsx javascript xml video https youtu be bs9g6z3lbbu functional and class components article https www taniarascia com getting started with react components props article https www taniarascia com getting started with react props state article https www taniarascia com getting started with react state lifecycle events react hooks playlist https www youtube com playlist list plzla0gpn vh8etggfgercwmy5u5hojf h submitting form article https www taniarascia com getting started with react submitting form data pulling in api data article https www taniarascia com getting started with react pulling in api data building and deploying your react app article https www taniarascia com getting started with react building and deploying a react app the beginner s guide to react by kent c dodds video https egghead io courses the beginner s guide to react front end library redux video https youtu be cvpuuw9xsjy apis rest graphql debugging tools browser dev tools article https developer mozilla org en us docs learn common questions what are browser developer tools chrome dev tools video https www youtube com watch v h0xsce08hy8 ab channel googlechromedevelopers video https www youtube com watch v e1gayquifqo ab channel googlechromedevelopers firefox dev tools video https www youtube com watch v sp9zfsvpf7a ab channel mozilladeveloper ux for web developers 1 software ux designers use ux designers use the following software for the designing as a ui developer you will get either the files of design or style guide do review them figma sketch app works only on mac photoshop 2 colors as a web developer you should know that the designers use hexa values of the color code if you want to use rgba red green blue alpha in your code then you need to ask the designers to provide that 3 units as a web developer you should know that designers use px as default units while designing if you are using em or rem you need to discuss this with your designer and ask about the base font size this base font size will help you to convert from px to em rem 4 consistency as a web developer make sure that the designs have consistency in the size colors and ux eg the font size and color of the headings on every page should be the same the body s font size should be the same you should review the designs given by the designers to make sure the consistency is there 5 styleguide if you have a big project ask your ux team to share the style guide style guide is the information about the color palette font size heading style etc this becomes the base guidelines for developers and testers 6 informative states while working on the forms it is important to ask the designers about the error success or informative states design most of the time ux folks miss these states 7 wireframes it is important to have the wireframes to understand the flow of the user s journey wireframes are like blueprint of the application suggested learning process 1 skills learn the fundamentals from a resource of your choice 1 html 1 css 1 javascript 1 project build a portfolio web page using the skills you learnt so far js html css the web page should have the following 1 add your name photo bio using semantic html 1 setup sections for projects we will fill these projects as we go the projects will have an image description and a link set these up with lorem ipsum text https loremipsum io for now 1 skills learn git and version control https youtu be 8jj101d3kne 1 project 1 add your portfolio to github 2 step up assignment setup github pages to host your portfolio here s an instructional video https www youtube com watch v 794yrqwaod8 ab channel ieatwebsites 1 skills step up your js and css knowledge 1 project make your portfolio mobile friendly and responsive 1 project getting ready for job interviews 1 practice interview questions on interviewcake https www interviewcake com 1 practice interviews questions on leetcode https leetcode com start with easy and slowly work your way up 1 skills step up challenge learn a front end framework react vue and angular are the top front end frameworks in 2021 if you were to pick one i would recommend react https reactjs org lots of companies use react in production 1 project implement the framework build an inspiration add this to your portfolio tasks 1 fetch an api of your choice 2 render data in your app 3 implement search functionality 4 implement auto complete functionality 1 skills step up challenge learn a library for the framework 1 learn a state management library redux react context 1 learn a css library sass 1 project implement your next inspiration idea using the library add to your portfolio 3 skills learn a testing framework build test coverage add to your portfolio 4 career get a freelance job using your portfolio 5 career find a mentor get feedback on your skills and portfolio 6 skills step up challenge learn the other side of stack front end vs back end 7 career apply for a full time job you are ready 8 skills continue iterating 9 career prepare for interviews | javascript 100daysofcode programming frontend front-end-development learning resources checklist html css html-page fundamentals front-end checklists 100-days-of-code | front_end |
malwarescarecrow | scarecrow images logo png malware scarecrow aka scaremalw a tool designed to make physical devices detectable by malware and make system look like virtual machine purpose the tool aims to create deceptive environment for evasion techniques of malware scarecrow images scarecrow png before scarecrow images alk4 png scarecrow images alk3 png after scarecrow images alk1 png scarecrow images alk2 png | os |
|
CANOpen_STM32F4_FreeRTOS | canopen stm32f4 freertos freertos stm32f407zgt6 canopen cubemx keil 1mbps | os |
|
Curso-JS-Avanzado-para-desarrolladores-Front-end_ed2 | shieldsio https img shields io github issues fictizia curso js avanzado para desarrolladores front end ed2 svg shieldsio https img shields io github forks fictizia curso js avanzado para desarrolladores front end ed2 svg shieldsio https img shields io github stars fictizia curso js avanzado para desarrolladores front end ed2 svg javascript avanzado para desarrolladores front end poo con js ecma6 patrones de dise o ajax avanzado html5 avanzado apis externas wideimg http www fictizia com assets styles styleimgs widebox widebox js avanzado png fictizia logo https media licdn com media p 1 000 1ed 254 29475de png el curso de javascript avanzado para desarrolladores web est pensado para que sus alumnos ampl en sus habilidades con el desarrollo con javascript nativo y adquieran las capacidades necesarias para crear profesionalmente sitios web din micos a medida de las necesidades de cada proyecto el objetivo principal de este curso avanzado de js es que los alumnos sean capaces de integrarse en entornos de desarrollo modernos y eficientes incluyendo el uso de patrones de dise o control de versiones testing fundamentos de trabajo node js los alumnos tambi n aprender n todo lo necesario para crear aplicaciones que requieran de una base de datos gil y en tiempo real con firebase en el mundo de la web cada d a es m s necesario la integraci n de servicios de terceros utilizando apis durante el curso los alumnos aprender n a trabajar fluidamente con ajax y apis en el curso de javascript avanzado para desarrolladores web aprender n a mejorar la calidad del c digo gracias a t cnicas avanzadas de depuraci n documentaci n versionamiento sem ntico y gu as de estilo como metodolog a de trabajo durante el curso los alumnos desarrollar n como pr cticas troncales diversas aplicaciones web que servir n adem s de repositorio de todo lo aprendido el curso se gestiona ntegramente a trav s de github lo que permitir a los alumnos desarrollar las practicas en un entorno colaborativo ten en cuenta que este curso est dise ado para aquellos desarrolladores que ya tienen conocimientos de programaci n con javascript si no dispones de esos conocimientos o quieres asegurar que tu base en js es la adecuada te recomendamos que antes realices el curso de javascript para desarrolladores web http www fictizia com formacion curso javascript con este curso de javascript aprender s a desarrollar aplicaciones web complejas eficientes y sin necesidad de librer as ni frameworks conocer la programaci n orientada a objetos con prototipos en javascript trabajar fluidamente con firebase ser s capaz de trabajar fluidamente con proyectos complejos que requieran de ajax ser s capaz de integrar apis externas en tus proyectos ser s capaz de integrar las ltimas funcionalidades de html5 en tus proyectos tener la capacidad de integrar patrones de dise o en tus proyectos conocer c mo trabajar eficientemente con un control de versiones como git tener la capacidad de contribuir a proyectos de c digo abierto usando github trabajar con frameworks de testing utilizar node js para tareas de automatizaci n javascript avanzado para desarrolladores front end http www fictizia com formacion curso javascript avanzado sobre el curso horario lunes mi rcoles y viernes de 16h a 19h fechas 20 02 2017 26 04 2017 teor a y recursos teor a recursos clase 1 teoria clase1 md clase 1 recursos clase1 md clase 2 teoria clase2 md clase 2 recursos clase2 md clase 3 teoria clase3 md clase 3 recursos clase3 md clase 4 teoria clase4 md clase 5 teoria clase5 md clase 5 recursos clase5 md clase 6 teoria clase6 md clase 6 recursos clase6 md clase 7 teoria clase7 md clase 7 recursos clase7 md clase 8 teoria clase8 md clase 8 recursos clase8 md clase 9 teoria clase9 md clase 9 recursos clase9 md clase 10 teoria clase10 md clase 10 recursos clase10 md clase 11 teoria clase11 md clase 11 recursos clase11 md clase 12 teoria clase12 md clase 12 recursos clase12 md clase 13 teoria clase13 md clase 13 recursos clase13 md clase 14 teoria clase14 md clase 14 recursos clase14 md clase 15 teoria clase15 md clase 15 recursos clase15 md clase 16 teoria clase16 md clase 16 recursos clase16 md clase 17 teoria clase17 md clase 17 recursos clase17 md clase 18 teoria clase18 md clase 18 recursos clase18 md clase 19 teoria clase19 md clase 19 recursos clase19 md clase 20 teoria clase20 md clase 20 recursos clase20 md clase 21 teoria clase21 md clase 21 recursos clase21 md clase 22 teoria clase22 md clase 22 recursos clase22 md clase 23 teoria clase23 md clase 23 recursos clase23 md clase 24 teoria clase24 md clase 24 recursos clase24 md extras teoria extras md temario control de versiones git y github desarrollo en la nube con c9 io reintroducci n a javascript arrays objetos n meros cadenas funciones an nimas callbacks recursividad programaci n orientada a objetos con prototipos firebase nobackend base de datos nosql social login despliege dominando ajax json jsonp cors apis externas html5 api local storage selectors geolocalizaci n local storage offline drag drop websockets cliente web workers canvas indexeddb notification regexp expresiones regulares patrones mediador prototipo fa ade decorador namespace init time branching lazy definition revealing module pattern memoization m dulo singleton factory mvc testing metodolog as librer as introducci n a node js npm nvm single thread yeoman gulp bower http url ecma 6 constantes scoping arrow functions yield gesti n de par metros en funciones plantillas de texto mejoras en objetos asignaci n desestructurada nuevos m todos integrados for of generadores s mbolos map set clases m dulos buenas pr cticas estilos documentaci n herramientas github https github com cloud 9 https c9 io ulisesgascon jshint http www jshint com mastering markdown https guides github com features mastering markdown | fictizia learning advance-course course fictizia-course nodejs node js javascript | front_end |
eMart | emart app a new flutter project getting started this project is a starting point for a flutter application a few resources to get you started if this is your first flutter project lab write your first flutter app https docs flutter dev get started codelab cookbook useful flutter samples https docs flutter dev cookbook for help getting started with flutter development view the online documentation https docs flutter dev which offers tutorials samples guidance on mobile development and a full api reference | server |
|
indonlu | indonlu pull requests welcome https img shields io badge prs welcome brightgreen svg style flat github license https img shields io badge license mit blue svg https github com indobenchmark indonlu blob master license contributor covenant https img shields io badge contributor 20covenant v2 0 20adopted ff69b4 svg code of conduct md baca readme ini dalam bahasa indonesia readme id md b indonlu b is a collection of natural language understanding nlu resources for bahasa indonesia with 12 downstream tasks we provide the code to reproduce the results and large pre trained models b indobert b and b indobert lite b trained with around 4 billion word corpus b indo4b b more than 20 gb of text data this project was initially started by a joint collaboration between universities and industry such as institut teknologi bandung universitas multimedia nusantara the hong kong university of science and technology universitas indonesia gojek and prosa ai research paper indonlu has been accepted by aacl ijcnlp 2020 and you can find the details in our paper https www aclweb org anthology 2020 aacl main 85 pdf if you are using any component on indonlu including indo4b fasttext indo4b or indobert in your work please cite the following paper inproceedings wilie2020indonlu title indonlu benchmark and resources for evaluating indonesian natural language understanding author bryan wilie and karissa vincentio and genta indra winata and samuel cahyawijaya and x li and zhi yuan lim and s soleman and r mahendra and pascale fung and syafri bahar and a purwarianti booktitle proceedings of the 1st conference of the asia pacific chapter of the association for computational linguistics and the 10th international joint conference on natural language processing year 2020 how to contribute to indonlu be sure to check the contributing guidelines https github com indobenchmark indonlu blob master contributing md and contact the maintainers or open an issue to collect feedbacks before starting your pr 12 downstream tasks you can check link https github com indobenchmark indonlu tree master dataset we provide train valid and test sets the labels of the test set are masked no true labels in order to preserve the integrity of the evaluation please submit your predictions to the submission portal at codalab https competitions codalab org competitions 26537 examples a guide to load indobert model and finetune the model on sequence classification and sequence tagging task you can check link https github com indobenchmark indonlu tree master examples submission format please kindly check the link https github com indobenchmark indonlu tree master submission examples for each task there is different format every submission file always start with the index column the id of the test sample following the order of the masked test set for the submission first you need to rename your prediction into pred txt then zip the file after that you need to allow the system to compute the results you can easily check the progress in your results tab indo4b dataset we provide the access to our large pretraining dataset in this version we exclude all twitter tweets due to restrictions of the twitter developer policy and agreement indo4b dataset 23 gb uncompressed 5 6 gb compressed link https storage googleapis com babert pretraining indonlu finals dataset preprocessed dataset wot uncased blanklines tar xz indobert and indobert lite models we provide 4 indobert and 4 indobert lite pretrained language model link https huggingface co indobenchmark indobert base phase 1 link https huggingface co indobenchmark indobert base p1 phase 2 link https huggingface co indobenchmark indobert base p2 indobert large phase 1 link https huggingface co indobenchmark indobert large p1 phase 2 link https huggingface co indobenchmark indobert large p2 indobert lite base phase 1 link https huggingface co indobenchmark indobert lite base p1 phase 2 link https huggingface co indobenchmark indobert lite base p2 indobert lite large phase 1 link https huggingface co indobenchmark indobert lite large p1 phase 2 link https huggingface co indobenchmark indobert lite large p2 fasttext indo4b we provide the full uncased fasttext model file 11 9 gb and the corresponding vector file 3 9 gb fasttext model 11 9 gb link https storage googleapis com babert pretraining indonlu finals models fasttext fasttext 4b id 300 epoch5 uncased bin vector file 3 9 gb link https storage googleapis com babert pretraining indonlu finals models fasttext fasttext 4b id 300 epoch5 uncased vec zip we provide smaller fasttext models with smaller vocabulary for each of the 12 downstream tasks fasttext indo4b link https storage googleapis com babert pretraining indonlu finals models fasttext fasttext 4b id uncased zip fasttext cc id link https storage googleapis com babert pretraining indonlu finals models fasttext fasttext cc id zip leaderboard community portal and public leaderboard link https www indobenchmark com leaderboard html submission portal https competitions codalab org competitions 26537 | indonesian bahasa bert benchmark datasets nlp nlu aacl indobert indobert-models indonlu indo4b indobert-lite indonlp | ai |
dragonchain | div align center img width 300px height 300px src https dragonchain assets s3 amazonaws com jojo png alt dragonchain logo dragonchain build status https img shields io travis dragonchain dragonchain https travis ci org dragonchain dragonchain test coverage https img shields io codeclimate coverage dragonchain dragonchain https codeclimate com github dragonchain dragonchain test coverage code style black https img shields io badge code 20style black 000000 svg https github com python black license https img shields io badge license apache 202 0 informational svg https github com dragonchain dragonchain blob master license banana index https img shields io endpoint svg url https 3a 2f 2fdragonchain core docs dragonchain com 2fbanana shield json the dragonchain platform simplifies the integration of real business applications onto a blockchain providing features such as easy integration protection of business data fixed 5 second blocks currency agnosticism and public blockchain interoperability dragonchain shines a new and interesting light on blockchain technology no blockchain expertise required div getting started for getting started with dragonchain we recommend visiting docs dragonchain com https docs dragonchain com those docs go over the friendliest overview for understanding installing and using dragonchain quick links getting started with dragonchain https docs dragonchain com project documentation https dragonchain core docs dragonchain com latest dragonchain console https console dragonchain com dragonchain inc https dragonchain com bug and security bounty program https dragonchain com bug and security bounty project bounty program https dragonchain com strategic projects bounty dragonchain academy https academy dragonchain org dragonchain blog https dragonchain com blog dragonchain architecture document https dragonchain com assets dragonchain architecture pdf use cases https dragonchain com blockchain use cases documentation documentation for this specific repository are available here https dragonchain core docs dragonchain com latest this documentation is intended for developers wishing to learn about and contribute to the dragonchain core platform itself for interaction with the dragonchain we recommend using the getting started link https docs dragonchain com instead you can also view one of our sdks or their docs to start interacting with a dragonchain python sdk https pypi org project dragonchain sdk documentation https python sdk docs dragonchain com latest javascript sdk https www npmjs com package dragonchain sdk documentation https node sdk docs dragonchain com latest golang sdk https github com dragonchain dragonchain sdk go documentation https godoc org github com dragonchain dragonchain sdk go cli link https www npmjs com package dctl development dragonchain is implemented in python 3 packaged into container images with docker and intended to be run on kubernetes at the moment the tools sh tools sh script is used to assist in various development functions such as installing dependencies automatically formatting linting code running tests etc simply run tools sh with no parameters to view what it can do in order to develop locally you should be able to run tools sh full test and have all checks pass for this a few requirements should be met 1 ensure that you have python 3 8 installed locally 1 install os dependencies for building various python package dependencies on an arch linux system with pacman tools sh arch install on a debian based linux system with apt tools sh deb install note on newer ubuntu installations you may need to install libsecp256k1 dev if the secp256k1 python package fails to build on a mac with brew tools sh mac install 1 install the python requirements tools sh pip install note this will install the python packages to the current user s site packages for a python venv follow the steps below 1 helm https helm sh is required to be installed for linting the helm chart 1 yq https github com mikefarah yq is required to be installed for building the docs as it parses the helm chart s version to update the docs dynamically using a python virtual environment it is highly recommended to use a python virtual environment rather than simply installing the python package requirements to your global environment this allows the required packages for this project to be separated from the rest of the potentially conflicting packages from the rest of the system in order to do this instead of step 3 above perform the following steps 1 ensure you have python venv installed and run python3 8 m venv venv 1 activate the virtual environment in your shell by running source venv bin activate 1 upgrade the setup dependencies for the virtual environment pip install u pip setuptools 1 install the core dependencies pip install r requirements txt 1 install the dev dependencies pip install u r dev requirements txt other information for more information including a deeper dive on the architecture code structure please read the docs https dragonchain core docs dragonchain com latest contributing want to make some money for helping the project we have project bug and security bounty programs which we invite anyone to participate in details for these programs can be found here bug and security bounty program https dragonchain com bug and security bounty project bounty program https dragonchain com strategic projects bounty for more info on contributing please read the contributing contributing md document support developer chat dragonchain slack https forms gle ec7sacnfnplcv6txa general dragonchain chat dragonchain telegram https t me dragontalk email support dragonchain com | dragonchain blockchain interchain python3 docker | blockchain |
system-design-course-labs | main repository for system design course labs information source the master branch does not contain lab contents each lab has a dedicated branch that you will need to start from the lab document will point to that branch installing software jdk17 installation guide docs install jdk17 md intellij idea project setup guide docs setup intellij project md | os |
|
Building-Machine-Learning-Projects-with-TensorFlow | building machine learning projects with tensorflow this is the code repository for building machine learning projects with tensorflow https www packtpub com big data and business intelligence building machine learning projects tensorflow utm source github utm medium repository utm campaign 9781786466587 published by packt https www packtpub com it contains all the supporting project files necessary to work through the book from start to finish instructions and navigations all of the code is organized into folders each folder starts with a number followed by the application name for example chapter02 the code will look like the following import tensorflow as tf tens1 tf constant 1 2 2 3 3 4 5 6 sess tf session print sess run tens1 1 1 0 5 table tr th software required th th hardware required th th operating system th tr tr td tensorflow 0 10 jupyter notebook td td any x86 computer td td ubuntu linux 16 04 td tr table related products machine learning with tensorflow https www packtpub com product machine learning with tensorflow 1 x 9781786462961 getting started with tensorflow https www packtpub com product getting started with tensorflow 9781786468574 building machine learning systems with python second edition https www packtpub com product building machine learning systems with python second edition 9781784392772 | ai |
|
CCPG1010 | desarrollo de aplicaciones web https github com dawfiec ccpg1010 unidades 1 introducci n 2 estructura de un documento web diapositivas html rar 3 estilo de un documento web diapositivas css rar 4 dise o web adaptable diapositivas rwd rar 5 programaci n web en el cliente diapositivas js rar 6 programaci n web en el servidor diapositivas pws rar 7 servicios web diapositivas ws rar 8 manejo del estado diapositivas estado rar indicaciones generales existen algunos sitios especializados como a list apart https alistapart com mozilla developer network https developer mozilla org es css tricks https css tricks com html5doctor http html5doctor com html com https html com w3schools https www w3schools com tags default asp codepen https codepen io y google developers https developers google com web hl es dado que tienen publicaciones interesantes relacionadas con el desarrollo de aplicaciones web para el control de versiones de las pr cticas y los proyectos deber s utilizar un repositorio remoto para control de versiones algunos sistemas de administraci n de repositorios remotos que podr as considerar github https github com bitbucket https bitbucket org product y gitlab https about gitlab com en relaci n a las herramientas de edici n podr as considerar sublime text 3 https www sublimetext com 3 notepad https notepad plus plus org download v7 5 8 html y atom https www rollapp com app atom incluso un editor m s potente como el visual studio code https code visualstudio com wt mc id dx 841432 sublime text tiene una lista de plugins de soporte para el desarrollo web de p ginas est ticas https tutorialzine com 2016 10 15 awesome sublime text plugins for web development el proceso de dise o y maquetaci n conlleva la creaci n de mockups entre las herramientas que podr as considerar para esto tenemos balsamiq https balsamiq com onenote https support office com en us article use wireframe templates to design websites and mobile apps 2d54dc55 f5c4 49a2 85da d649eb7fc281 mockplus https www mockplus com r trista wireframe https wireframe cc moqups https moqups com fluid https www fluidui com smartmockups https smartmockups com y otros https www mockplus com blog post website mockup que puedes encontrar en l nea librer as y frameworks como w3 css https www w3schools com w3css default asp flexboxgrid http flexboxgrid com o bootstrap https getbootstrap com permiten abstraerse de las reglas de estilo para maquetar prototipos de alto nivel mientras dise as tu sitio web puedes utilizar los inspectores de mozilla https developer mozilla org es docs tools page inspector o chrome https developers google com web tools chrome devtools utm source dcc utm medium redirect utm campaign 2018q2 para verificar la estructura sem ntica de las p ginas y algunos cheatsheets de html css git en la carpeta recursos recursos google web fonts https devhints io google webfonts y bootstrap https hackerthemes com bootstrap cheatsheet recursos para tus sitios web conos black white social media by youtube com alfredocreates 2018 iconfinder retrieved 3 october 2018 from https www iconfinder com iconsets black white social media streamline 3 0 2019 app streamlineicons com retrieved 7 june 2019 from https app streamlineicons com streamline regular interface essential fuentes 20 best google web fonts 2018 awwwards com retrieved 3 october 2018 from https www awwwards com 20 best web fonts from google web fonts and font face html formato b sico para la sintaxis de un readme en github basic writing and formatting syntax user documentation 2018 help github com retrieved 25 september 2018 from basic writing and formatting syntax https help github com articles basic writing and formatting syntax | css js desarrollo web chrome mvc html5 flexbox grid flask flask-sqlalchemy flask-mongoengine swagger-ui restful-api flask-admin-template flask-admin | front_end |
cvml_project | computer vision and ml projects this repository contains snippets of code on computer vision and machine learning the objective is to provide easy to run code for learning concepts requirement standard anaconda packages additional requirements in individual projects ml theory theory projections backprojection projections inverse projection ipm projections ipm lidar camera projections lidar camera projection image transformation similarity image transformation detection non maximum suppression detection depth estimation self supervised sfm depth self supervised sfm | ai |
|
SalatBook | h2 salat book h2 b backend server web front end mobile application flutter all in one development of salat buddy software which takes care of your salat schedules counts your progression with inspiring in app journey goal b | server |
|
fancy-nlp | h1 align center fancy nlp h1 p align center nlp for human a fast and easy to use natural language processing nlp toolkit satisfying your imagination about nlp p p align left a href https github com boat group fancy nlp blob master readme md sup english version sup a p div align center img src img fancy nlp 300 180 white jpg div p align center a href https github com boat group fancy nlp stargazers img src https img shields io github stars boat group fancy nlp svg colora orange colorb orange logo github alt github stars a a href https github com boat group fancy nlp network members img src https img shields io github forks boat group fancy nlp svg colora orange colorb orange logo github alt github forks a a href https travis ci org boat group fancy nlp img src https travis ci org boat group fancy nlp svg branch master alt build status a a href https pypi org project fancy nlp img src https img shields io pypi v fancy nlp svg colorb brightgreen alt pypi package a a href https pypi org project fancy nlp img src https img shields io pypi dm fancy nlp alt pypi downloads a a href https github com boat group fancy nlp blob master license img src https img shields io github license boat group fancy nlp svg alt github license a a href https coveralls io github boat group fancy nlp branch master img src https coveralls io repos github boat group fancy nlp badge svg branch master alt coverage status a a href http commitizen github io cz cli img src https img shields io badge commitizen friendly brightgreen svg alt commitizen friendly a p p align center a href a a href a a href a a href a a href a a href a a href a a href a p h2 align center h2 fancy nlp nlp nlp nlp nlp fancy nlp named entity recognition ner sentence pair matching spm fancy fancy nlp nlp h2 align center h2 fancy nlp python 3 python 3 6 tensorflow 2 x virtualenv https virtualenv pypa io en latest fancy nlp pip bash pip install fancy nlp h2 align center h2 fancy nlp issue fancy nlp msra ner https github com juand r entity recognition datasets ner org loc per python from fancy nlp applications import ner ner app ner ner python ner app analyze text entities name type org score 1 0 beginoffset 0 endoffset 4 name type loc score 1 0 beginoffset 6 endoffset 9 name type loc score 1 0 beginoffset 9 endoffset 12 name type per score 1 0 beginoffset 16 endoffset 18 python ner app restrict analyze text entities name type org score 1 0 beginoffset 0 endoffset 4 name type loc score 1 0 beginoffset 9 endoffset 12 name type per score 1 0 beginoffset 16 endoffset 18 ner app predict b org i org i org i org o o b loc i loc i loc b loc i loc i loc o o o o b per i per fancy nlp https github com skdjfla toutiao text classfication dataset python from fancy nlp applications import textclassification text classification app textclassification python text classification app predict ios 65 python text classification app analyze ios 65 0 9996544 fancy nlp http icrc hitsz edu cn info 1037 1162 htm python from fancy nlp applications import spm spm app spm python spm app predict 1 1 0 python spm app analyze 1 array 1 6599501e 09 1 0000000e 00 dtype float32 h2 align center h2 fancy nlp fancy nlp bert https share weiyun com 5h1ipnj 86geqk bert https share weiyun com 5nekbm0 7e6rb7 examples datasets ner msra test data train data spm webank bq dev txt bq test txt bq train txt text classification toutiao toutiao cat data txt toutiao label dict txt examples bert combination py bert fine tuning py bert single py ner example py spm example py text classification example py pretrained embeddings chinese l 12 h 768 a 12 bert config json bert model ckpt data 00000 of 00001 bert model ckpt index bert model ckpt meta vocab txt python examples ner example py msra ner https github com juand r entity recognition datasets examples ner example py fancy nlp ner t bio bioes fancy nlp python from fancy nlp applications import ner ner app ner use pretrained false from fancy nlp utils import load ner data and labels train data train labels load ner data and labels datasets ner msra train data valid data valid labels load ner data and labels datasets ner msra test data load ner data and labels ner ner python checkpoint dir pretrained models model name msra ner bilstm cnn crf ner app fit train data train labels valid data valid labels ner model type bilstm cnn char embed trainable true callback list modelcheckpoint earlystopping swa checkpoint dir checkpoint dir model name model name load swa model true ner fit ner model type bilstm cnn char embed trainable fine tuning true callback list modelcheckpoint earlystopping n n 5 swa swa stochastic weight averaging http auai org uai2018 proceedings papers 313 pdf checkpoint dir model name load swa model swa true swa python test data test labels load ner data and labels datasets ner msra test data ner app score test data test labels load ner data and labels ner score fancy nlp python import os ner app save preprocessor file os path join checkpoint dir f model name preprocessor pkl json file os path join checkpoint dir f model name json ner save json hdf5 pickle preprocessor file json file weight file modelcheckpoint python ner app load preprocessor file os path join checkpoint dir f model name preprocessor pkl json file os path join checkpoint dir f model name json weights file os path join checkpoint dir f model name swa hdf5 ner app analyze restrict analyze https github com skdjfla toutiao text classfication dataset examples text classification example py fancy nlp id id fancy nlp python from fancy nlp applications import textclassification text classification app textclassification use pretrained false data file datasets text classification toutiao toutiao cat data txt from fancy nlp utils import load text classification data and labels train data train labels valid data valid labels test data test labels load text classification data and labels data file label index 1 text index 3 delimiter split mode 2 split size 0 3 load ner data and labels label index 0 text index delimiter split mode 1 2 split size split mode 1 split size split mode 2 split size python dict file datasets text classification toutiao toutiao label dict txt model name toutiao text classification cnn checkpoint dir pretrained models text classification app fit train data train labels valid data valid labels text classification model type cnn char embed trainable true callback list modelcheckpoint earlystopping swa checkpoint dir checkpoint dir model name model name label dict file dict file max len 60 load swa model true fit text classification model type cnn char embed trainable fine tuning true callback list modelcheckpoint earlystopping n n 5 swa swa stochastic weight averaging http auai org uai2018 proceedings papers 313 pdf checkpoint dir model name label dict file id max len load swa model swa true swa python text classification app score test data test labels score fancy nlp python import os text classification app save preprocessor file os path join checkpoint dir f model name preprocessor pkl json file os path join checkpoint dir f model name json save json hdf5 pickle preprocessor file json file weight file modelcheckpoint python text classification app load preprocessor file os path join checkpoint dir f model name preprocessor pkl json file os path join checkpoint dir f model name json weights file os path join checkpoint dir f model name swa hdf5 text classification app predict analyze http icrc hitsz edu cn info 1037 1162 htm examples spm example py fancy nlp t 1 0 fancy nlp python from fancy nlp applications import spm spm app applications spm use pretrained false train file datasets spm webank bq train txt valid file datasets spm webank bq dev txt from fancy nlp utils import load spm data and labels train data train labels load spm data and labels train file valid data valid labels load spm data and labels valid file load spm data and labels python model name spm siamese cnn checkpoint dir pretrained models spm app fit train data train labels valid data valid labels spm model type siamese cnn word embed trainable true callback list modelcheckpoint earlystopping swa checkpoint dir checkpoint dir model name model name max len 60 load swa model true fit spm model type siamese cnn word embed trainable fine tuning true callback list modelcheckpoint earlystopping n n 5 swa swa stochastic weight averaging http auai org uai2018 proceedings papers 313 pdf checkpoint dir model name max len load swa model swa true swa python test file datasets spm webank bq test txt test data test labels load spm data and labels test file spm app score test data test labels score fancy nlp python import os spm app save preprocessor file os path join checkpoint dir f model name preprocessor pkl json file os path join checkpoint dir f model name json save json hdf5 pickle preprocessor file json file weight file modelcheckpoint python spm app load preprocessor file os path join checkpoint dir f model name preprocessor pkl json file os path join checkpoint dir f model name json weights file os path join checkpoint dir f model name swa hdf5 spm app predict analyze bert facny nlp bert bert nlp bert bert fancy nlp bert bert bert https storage googleapis com bert models 2018 11 03 chinese l 12 h 768 a 12 zip ernie iq74 https pan baidu com s 1i7kkvlzn6hl subnvttjza bert wwm https drive google com file d 1rotqsxp2hkq1gsrvylrijfqxjugkfjmw view fit bert examples bert fine tuning py examples bert single py examples bert combination py bert bert python import tensorflow as tf from fancy nlp applications import ner ner app ner use pretrained false from fancy nlp utils import load ner data and labels train data train labels load ner data and labels datasets ner msra train data valid data valid labels load ner data and labels datasets ner msra test data ner app fit train data train labels valid data valid labels ner model type bert use char false use word false use bert true bert vocab file pretrained embeddings chinese l 12 h 768 a 12 vocab txt bert config file pretrained embeddings chinese l 12 h 768 a 12 bert config json bert checkpoint file pretrained embeddings chinese l 12 h 768 a 12 bert model ckpt bert trainable true optimizer tf keras optimizers adam 1e 5 callback list modelcheckpoint earlystopping swa checkpoint dir pretrained models model name msra ner bert crf load swa model true ner model type bert use char use word use bert bert bert bert vocab file bert config file bert checkpoint file bert bert trainable bert optimizer bert bert bert python from fancy nlp applications import ner ner app ner use pretrained false from fancy nlp utils import load ner data and labels train data train labels load ner data and labels datasets ner msra train data valid data valid labels load ner data and labels datasets ner msra test data ner app fit train data train labels valid data valid labels ner model type bilstm cnn use char false use word false use bert true bert vocab file pretrained embeddings chinese l 12 h 768 a 12 vocab txt bert config file pretrained embeddings chinese l 12 h 768 a 12 bert config json bert checkpoint file pretrained embeddings chinese l 12 h 768 a 12 bert model ckpt bert trainable false optimizer adam callback list modelcheckpoint earlystopping swa checkpoint dir pretrained models model name msra ner bilstm cnn bert crf load swa model true ner model type bilstm cnn bert use char use word use bert bert bert vocab file bert config file bert checkpoint file bert bert trainable bert true optimizer bert bert python import tensorflow as tf from fancy nlp applications import ner ner app ner use pretrained false from fancy nlp utils import load ner data and labels train data train labels load ner data and labels datasets ner msra train data valid data valid labels load ner data and labels datasets ner msra test data ner app fit train data train labels valid data valid labels ner model type bilstm cnn use char true use word false use bert true bert vocab file pretrained embeddings chinese l 12 h 768 a 12 vocab txt bert config file pretrained embeddings chinese l 12 h 768 a 12 bert config json bert checkpoint file pretrained embeddings chinese l 12 h 768 a 12 bert model ckpt bert trainable true optimizer tf keras optimizers adam 1e 5 callback list modelcheckpoint earlystopping swa checkpoint dir pretrained models model name msra ner bilstm cnn char bert crf load swa model true ner model type bilstm cnn bert use char use word use bert bert bert bert vocab file bert config file bert checkpoint file bert bert trainable bert false optimizer bert h2 align center h2 2019 fancy nlp ccks 2019 https biendata com competition ccks 2019 el final leaderboard https biendata com competition ccks 2019 el winners repo https github com alexyangli ccks2019 el fancy nlp 0 0 1 2019 ai h2 align center h2 fancy nlp pull requests pep8 https www python org dev peps pep 0008 https www conventionalcommits org zh v1 0 0 beta 4 https docs pytest org en latest h2 align center h2 fancy nlp latex misc tencent2019fancynlp title fancy nlp author li yang and shiyao xu and shijia e howpublished url https github com boat group fancy nlp year 2019 h2 align center h2 p align right a href fancy nlp sup sup a p keras keras slogan deep learning for human fancy nlp nlp for human keras https github com keras team keras anogo https github com hironsan anago kashgari https github com brikerman kashgari bert as service https github com hanxiao bert as service | nlp chinese-nlp python-library keras tensorflow named-entity-recognition text-classification semantic-similarity tf2 bert-ner bert-chinese crf bimpm esim bert bilstm-crf bert-embeddings bert-classifier | ai |
open-weather-stream | open weather stream a data engineering pipeline to fetch timely weather data store it in google cloud storage and use it for live dashboarding | cloud |
|
NLPSwift | edit as per 02 june 2018 ist whole of the readme translated to russian by gargo please find it hosted here http gargo of by nlpswift natural language processing nlp wikipedia says natural language processing nlp is an area of computer science and artificial intelligence concerned with the interactions between computers and human natural languages in particular how to program computers to fruitfully process large amounts of natural language data challenges in natural language processing frequently involve speech recognition natural language understanding and natural language generation nlp in ios with nslinguistictagger nslinguistictagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts one can use this class to segment natural language text into paragraphs sentences or words and tag information about those segments such as parts of speech lexical class lemma script and language coding example import uikit let inputstring in old delhi a neighborhood dating to the 1600s stands the imposing mughal era red fort tag schemes tag schemes are constants that are used to identify pieces of information that we want from the input text tag schemes asks tagger to look for informations like token type a contant to classify each character as a word punctuation or a whitespace language a constant to determine langugage of the token lexicalclass this constant determines class of each token i e it determines part of speech for a word type of punctuation for a punctuation or type of whitespace for a whitespace name type this constant looks for tokens that are part of a named entity it will look for a person s name organizational name and name of a place lemma this constant returns the stem of word let tagger nslinguistictagger tagschemes nslinguistictagscheme tokentype language lexicalclass nametype lemma options 0 options are the way to tell api as how to split the text we are asking to ignore any punctuations and any whitespaces also if there is a named entity then join it together i e instead of considering new delhi as two entities join them together as one which is new delhi let options nslinguistictagger options nslinguistictagger options omitpunctuation omitwhitespace joinnames part of speech pos in english language noun verb adjective adverb pronoun preposition conjunction and interjection are part of speech func partofspeech tagger string inputstring let range nsrange location 0 length inputstring utf16 count tagger enumeratetags in range unit nslinguistictaggerunit word scheme nslinguistictagscheme lexicalclass options options tag tokenrange in if let tag tag let word inputstring as nsstring substring with tokenrange print tag rawvalue word calling the method in playground gives the following response partofspeech preposition in noun old delhi determiner a noun neighborhood verb dating preposition to determiner the number 1600s verb stands determiner the adjective imposing noun mughal noun era noun red noun fort lexical class lexical class is same as pos but may exclude parts of speech that are considered to be functional like pronoun identify names names of person or places func namedentity str string tagger string str let range nsrange location 0 length str utf16 count let tags nslinguistictag nslinguistictag personalname placename organizationname tagger enumeratetags in range unit nslinguistictaggerunit word scheme nslinguistictagscheme nametype options options tag tokenrange in if let tag tag tags contains tag let name str as nsstring substring with tokenrange print name tag rawvalue namedentity str inputstring output old delhi placename perform lemmatization lemmatization is the process of breaking down word into its most basic form for example go can be transformed into gone will go went etc and since therere are so many forms for nlp to understand it better the words are converted into their base root like in this case all the above forms transform to go and this go is known as lemma func lemmatizestring tagger string inputstring let range nsrange location 0 length inputstring utf16 count tagger enumeratetags in range unit nslinguistictaggerunit word scheme nslinguistictagscheme lemma options options tag tokenrange in if let lemma tag rawvalue print lemma lemmatizestring output in a date to the stand the imposing era red fort determine the language return the dominant language for the specified string language identification here we will give input string to the tagger and ask the dominant language in the string dominant language is the most frequently occurring language in the string so if our string had mix of english hindi spanish and french words then it would choose the most common language func languageidentification tagger string inputstring print tagger dominantlanguage calling the method gives output as languageidentification en use cases for nslinguistictagger 1 voice driven search parse and lemmatize the search command define grammar to map the spoken search command into an actual search query 2 to automatically create or suggest tags found in a document such as recongizing proper nouns organisation names 3 facilitate conversational ui | nlp coreml nlp-apis ios swift4 | ai |
docs | terra docs div align center a href https docs terra money img src static img docs logo svg width 500 a div welcome to the official documentation for the terra blockchain the terra docs are an ever changing compendium of guides and reference material for learning about developing on and running the terra blockchain to contribute to this documentation please read the code of conduct docs code of conduct md and the terra docs style guide docs style guide mdx before opening a pull request the terra docs represent years of hard work and upkeep to create industry leading documentation many thanks to all the contributors of this repository setup installation yarn local development yarn start this command starts a local development server and opens up a browser window most changes are reflected live without having to restart the server build yarn build this command generates static content into the build directory and can be served using any static contents hosting service deployment using ssh use ssh true yarn deploy not using ssh git user your github username yarn deploy if you are using github pages for hosting this command is a convenient way to build the website and push to the gh pages branch syntax admonitions you can use admonitions by importing them and using the following syntax import admonition from theme admonition admonition type note icon title your title some content with markdown syntax admonition the icon and title values are optional admonition types note tip info caution danger details for dropdown details use the following syntax details summary example summary p hidden content p details details summary title summary p hidden content p details comments this is a comment in mdx license this repository is licensed under the apache license see license license for full disclosure 2023 terraform labs pte | blockchain |
|
HKIVE-GSD-SDP-Point-Card-System | it took about a week to produce so there are many bugs such as sql injection sorry i didn t learn at that time it s just school work anyway don t be too serious it s just the first time in my life to do winform the ui looks good so i put it here language zh https github com cwksc hkive gsd sdp point card system blob master readme zh md what is this what is this quick view quick view how to start how to start what is this h ong k ong i nstitute of v ocational e ducation hkive hd in g ame s oftware d evelopment gsd itp4910 s oftware d evelopment p roject sdp point card system this open source project is mainly for learning and research purposes for video you can look at demo mp4 https github com cwksc hkive gsd sdp point card system blob master demovideo demo mp4 or i posted on instagram https www instagram com p bzn0eyknxez before no latest version for requirements document you can look at requirementsdocument md https github com cwksc hkive gsd sdp point card system blob master requirementsdocument md in addition there is a related report report pdf https github com cwksc hkive gsd sdp point card system blob master report pdf this report was written midway and there are many mistakes you can try to learn more through it this is just a student s work that contains a lot of bug behind it the ui design reference to c vb net programming modern flat gradient side menu tabs with bunifu ui 1 5 youtube https www youtube com watch v 16wz84zm6fq modern flat design form login vb net and c bunifu ui 1 5 youtube https www youtube com watch v eyb7gla epo for both video i wrote three articles to make exercise but it is in chinese c windows forms bunifu login form https zhuanlan zhihu com p 70764874 c windows forms bunifu https zhuanlan zhihu com p 70590664 c windows forms bunifu https zhuanlan zhihu com p 71203618 icon material and part of the control library are taken from others if you think this infringes your copyright please let me know and i will delete it immediately quick view back to contents contents img src https raw githubusercontent com cwksc hkive gsd sdp point card system master screenshot signup png width 50 height 50 img src https raw githubusercontent com cwksc hkive gsd sdp point card system master screenshot signin png width 50 height 50 img src https raw githubusercontent com cwksc hkive gsd sdp point card system master screenshot playerform png width 50 height 50 how to start back to contents contents simple execution download and execute sdp prototype sdp prototype bin debug sdp prototype exe open the project and view the source code download and open program sdp prototype sdp prototype sln the version of visual studio is vs2017 vs2019 need to download the package related to c net view database program sdp prototype sdp prototype bin debug sdpfinalver accdb need microsoft access 2016 platform windows 10 back to contents contents | csharp | server |
Python-Natural-Language-Processing | python natural language processing this is the code repository for python natural language processing https www packtpub com big data and business intelligence python natural language processing utm source github utm medium repository utm campaign 9781787121423 published by packt https www packtpub com utm source github it contains all the supporting project files necessary to work through the book from start to finish about the book this book starts off by laying the foundation for natural language processing and gives you a better understanding of available free forms of corpus and different types of dataset after this you will know how to choose a dataset for natural language processing applications and find the right nlp techniques to process sentences in datasets and understand their structure you will also learn how to tokenize different parts of sentences and ways to analyze them instructions and navigation all of the code is organized into folders each folder starts with a number followed by the application name for example chapter02 the code will look like the following import nltk from nltk corpus import brown as cb from nltk corpus import gutenberg as cg let s discuss some prerequisites for this book don t worry it s not math or statistics just basic python coding syntax is all you need to know apart from that you need python 2 7 x or python 3 5 x installed on your computer i recommend using any linux operating system as well the list of python dependencies can be found at github repository at https github com jalajthanaki nlpython blob master pip requirements txt now let s look at the hardware required for this book a computer with 4 gb ram and at least a two core cpu is good enough to execute the code but for machine learning and deep learning examples you may have more ram perhaps 8 gb or 16 gb and computational power that uses gpu s related products natural language processing python and nltk https www packtpub com big data and business intelligence natural language processing python and nltk utm source github utm medium repository utm campaign 9781787285101 mastering natural language processing with python https www packtpub com big data and business intelligence mastering natural language processing python utm source github utm medium repository utm campaign 9781783989041 natural language processing with java second edition https www packtpub com big data and business intelligence natural language processing java second edition utm source github utm medium repository utm campaign 9781787288072 download a free pdf i if you have already purchased a print or kindle version of this book you can get a drm free pdf version at no cost br simply click on the link to claim your free pdf i p align center a href https packt link free ebook 9781787121423 https packt link free ebook 9781787121423 a p | ai |
|
vanila-homepage | netlify status https api netlify com api v1 badges 94d346b3 b4cf 4df8 ab40 5ebdc1f22408 deploy status https app netlify com sites vanila homepage deploys screenshot webp https vanila io | front_end |
|
godbg | introduction tired of using the plain gdb command line interface to debug your go c c applications godbg is a graphical web based front end for gdb the web based ui makes godbg multi platform and easier for remotely accessing your debug sessions features thread information execution control step next interrupt breakpoints line and function enable disable variables inspect custom expressions console output source line highlighting video check out the youtube video for a walkthrough https www youtube com watch v oywaajd6hr8 installation notes godbg uses the gdb mi machine interface to debug your application the mi changes from time to time this version of godbg should work with gdb versions 7 5 and 7 6 newer versions of linux will often come with these versions of gdb but windows and mac need a little extra setup windows gdb is available on windows in either mingw or cygwin to install the mingw version visit http www mingw org to download and install the tool suite mingw get setup exe once mingw is installed run the mingw installer to add the mingw32 gdb package under all packages make sure to add the c mingw bin directory to your path so that godbg can pick it up mac os x the version of gdb on mac os x as part of xcode is very old and will not work with godbg instead you can download and compile the latest version of gdb from https www gnu org software gdb download note that there is a bug in all versions of gdb including the latest 7 6 1 at the time of writing this that prevents the go language support from being loaded a patch is available here http sourceware org 1504 n7 nabble com path add support for mach o reader to be aware of debug gdb scripts td238372 html after applying the patch you compile it with the xcode compiler using configure with expat with python make mac codesigning problem mac os x requires that the debugger binary is signed with a trusted certificate before it can take control of another process if you see a message in the gdb console similar to unable to find mach task port for process id 12345 os kern failure 0x5 please check gdb is codesigned see taskgated 8 then you will need to follow these steps start the keychain access application you can use spotlight to find it select keychain access certificate assistant create a certificate choose a name for the certificate set identity type to self signed root set certificate type to code signing activate the let me override defaults option continue on to the specify a location for the certificate page set keychain to system continue and create the certificate double click on the newly created certificate set when using this certificate to always trust restart the computer yes this is a required step sign the gdb binary by executing the following command codesign f s gdb cert name location of gdb binary go runtime support gdb versions 7 5 come with increased safety precautions for auto loading scripts including the go language helper script this script not only helps gdb to pretty print variables but also helps gdb to avoid analyzing unitialized variables which can cause gdb to become unresponsive if the go language helper script initializes properly you will see the message loading go runtime support otherwise you might encounter the following message warning file usr local go src pkg runtime runtime gdb py auto loading has been declined by your auto load safe path set to debugdir datadir auto load to enable execution of this file add add auto load safe path usr local go src pkg runtime runtime gdb py line to your configuration file home cmcgee gdbinit if you follow these instructions then your debugging experience will be much better remote access godbg has remote access capabilities using your web browser and https access is controlled using a magic url known only to the person who launches the godbg session first some setup is required to specify the fully qualified domain name of your system and establish a secure connection generating ssl tls keys godbg uses http over ssl tls otherwise known as https to encrypt information sent from the remote system and your local web browser in order to set up the encryption both a certificate and encryption key is needed to establish the encrypted connection you can use a tool like openssl or use a go script included in every go install to generate it to run the go script to generate your certificates you can run the following command replace with on windows myhost example com with your fully qualified domain name go run path to go install src pkg crypto tls generate cert go ca true duration 8760h0m0s host myhost example com it is important to secure the certificates and keys with filesystem permissions so that others canot use them to intercept your communications chmod go rwx cert pem key pem setting environment variables your fully qualified domain name certificate file and key file are provided to gdbg using the following environment variables export gohost myhost example com export gocertfile path to my cert pem export gokeyfile path to my key pem these variables can be set in the same place you set your gopath and path variables so that they are set automatically every time you run the tool debug session sometimes freezes and gdb process consumes alot of cpu there is a problem with the string pretty printer in the standard go runtime library for gdb which causes it to attempt to parse uninitialized strings if there are alot of uninitialized strings then gdb attempts to transfer alot of target memory to satisfy the pretty printer there is a small tweak you can make to your runtime gdb py script located in your goroot src pkg runtime directory find the stringtypeprinter class in the file and change the to string method body to look like this be mindful of the tabs def to string self l int self val len if l 1024 and l 1 return self val str string utf 8 ignore l return self val len note that this tweak will print out the length of really big strings instead of their value | front_end |
|
Data-Engineering-with-Google-Cloud-Professional-Certificate | about this professional certificate this program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry recognized google cloud professional data engineer certification through a combination of presentations demos and labs you will enable data driven decision making by collecting transforming and publishing data and you ll gain real world experience through a number of hands on qwiklabs projects you ll also have the opportunity to practice key job skills including designing building and running data processing systems and operationalizing machine learning models upon successful completion of this program you will earn a certificate of completion to share with your professional network and potential employers if you would like to become google cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on google cloud platform you will need to register for and pass the official google cloud certification exam you can find more details on how to register and additional resources to support your preparation at cloud google com certifications applied learning project this professional certificate incorporates hands on labs using our qwiklabs platform these hands on components will let you apply the skills you learn in the video lectures projects will incorporate topics such as google bigquery which are used and configured within qwiklabs you can expect to gain practical hands on experience with the concepts explained throughout the modules specialization link https www coursera org specializations gcp data machine learning | cloud |
|
Hackinfinity17 | hackinfinity17 e commerce android application for farmers project of hackathon hackinfinity17 organised by dhirubhai ambani institute of information and communication technology some of its features are not working properly hence this application is under development process right now | server |
|
WSJ_WebScraping_NLP | project overview in this project i web scraped news and opinion articles from the wall street journal wsj in order to investigate a possible relationship between article emotionality subjectivity positivity negativity and user engagement captured through number of comments posted on articles as well as s p 500 returns for that day to answer these questions i web scraped 22 772 full text wsj articles published between jan 19 and july 20 from the wall street journal s news archives https www wsj com news archive years using python s selenium library for each article i scraped the article text headline sub headline date published author name number of comments and rubric name in order to gather as much text data as possible for sentiment analysis research questions 1 can a statistically significant causal relationship be demonstrated between a wsj article s degree of subjectivity objectivity and positivity negativity in its writing as defined by widely used python sentiment analysis libraries and the number of online comments posted by readers for that article 1 to the degree that the wsj enjoys a wide readership in the financial world and that previous findings in the literature indicate a weak linkage between objectivity emotionality frequency of media coverage and financial markets fluctuations can a statistically significant causal relationship be demonstrated between the wsj s coverage of financial news specifically wsj articles degree of subjectivity objectivity and positivity negativity polarity on a given day t and stock price movements from the s p 500 index on day t n for 0 n 3 natural language processing scores nlp libraries used valence aware dictionary and sentiment reasoner vader and textblob were used to perform sentiment analysis on the combined data vader vader is a natural language processing sentiment analysis model available through the python nltk package that outputs polarity positive negative and intensity of emotion scores vader output variables incude negative neutral positive and compound and can be read more about here https pypi org project vadersentiment textblob is a python api used for common nlp tasks such as part of speech tagging noun phrase extraction sentiment analysis classification and translation textblob output variables incude polarity and subjectivity and can be read more about here https textblob readthedocs io en dev research insights conclusion impact of article emotionality positivity negativity on number of comments simple linear regression analysis of the sentiment analysis variables on number of comments is shown to be a poor model for explaining the variance in number of comments posted on wsj articles given extremely low adj r 2 of 0 014 further based on 0 2045 prob f stat we cannot reject the null hypothesis that the beta coefficients of the polarity subjectivity positivity and negativity variables are zero based these results therefore show wsj sentiment analysis has low predictive power in relation to number of comments posted on wsj articles although quite interestingly vader negativity scores are shown to be statistically significant to the 1 level in our models this may be due to articles with higher negativity scores being more likely to announce events that would entail a public showing of grief or support such as death of a public figure which as such may generate more comments on that article predicting future day s p500 moves with wsj article emotionality positivity negativity variables to answer our second research question a total of four simple linear regression analyses of the sentiment analysis variables against i same day percentage change in the s p 500 and ii following day percentage change in s p 500 were performed low 0 01 adj r 2 values and high p values for all regressions show these are poor models with low predictive power even with the vader neutral values and spx volume numbers further added as extra independent variables these results therefore suggest wsj sentiment analysis has low predictive power in relation to same day spx moves although quite interestingly textblob polarity of wsj article is significant to the 10 level r shiny app link to r shiny app https philippe1 shinyapps io wsjapp2 link to blog post https nycdatascience com blog student works scraping wall street journal article data to measure online reader engagement an nlp analysis | ai |
|
Front-End-Architecture-Checklist | front end architecture checklist checklist of front end development centric technology structure considerations on a web site or web application project forked please keep in mind how dated the information contained in this is | front_end |
|
Getting-Started-with-Google-BERT | getting started with google bert https www amazon com gp product b08lldf377 ref dbs a def rwt bibl vppi i5 build and train state of the art natural language processing models using bert about the book a target blank href https www amazon com gp product b08lldf377 ref dbs a def rwt bibl vppi i5 img src images book cover jpg alt book cover width 300 align left a bert bidirectional encoder representations from transformer has revolutionized the world of natural language processing nlp with promising results this book is an introductory guide that will help you get to grips with google s bert architecture with a detailed explanation of the transformer architecture this book will help you understand how the transformer s encoder and decoder work you ll explore the bert architecture by learning how the bert model is pre trained and how to use pre trained bert for downstream tasks by fine tuning it for nlp tasks such as sentiment analysis and text summarization with the hugging face transformers library as you advance you ll learn about different variants of bert such as albert roberta and electra and look at spanbert which is used for nlp tasks like question answering you ll also cover simpler and faster bert variants based on knowledge distillation such as distilbert and tinybert the book takes you through mbert xlm and xlm r in detail and then introduces you to sentence bert which is used for obtaining sentence representation finally you ll discover domain specific bert models such as biobert and clinicalbert and discover an interesting variant called videobert get the book div a target blank href https www amazon com gp product b08lldf377 ref dbs a def rwt bibl vppi i5 img src images oreilly safari logo png alt oreilly safari hieght 150 width 150 a a target blank href https www amazon com gp product b08lldf377 ref dbs a def rwt bibl vppi i5 img src images amazon logo jpg alt amazon a a target blank href https www packtpub com product getting started with google bert 9781838821593 img src images packt logo jpeg alt packt hieght 150 width 150 a a target blank href https www amazon com gp product b08lldf377 ref dbs a def rwt bibl vppi i5 img src images googlebooks logo png alt google books a a target blank href https www amazon com gp product b08lldf377 ref dbs a def rwt bibl vppi i5 img src images googleplay logo png alt google play a br div br clone the repo and run in google colab img src https colab research google com img colab favicon 256px png hieght 50 width 50 1 a primer on transformer 1 20a 20primer 20on 20transformer 1 1 introduction to transformer 1 20a 20primer 20on 20transformer 1 01 20introduction 20to 20transformer ipynb 1 2 understanding encoder of transformer 1 20a 20primer 20on 20transformer 1 02 20understanding 20encoder 20of 20transformer ipynb 1 3 self attention mechanism 1 20a 20primer 20on 20transformer 1 03 20self attention 20mechanism 20 ipynb 1 4 understanding self attention mechansim 1 20a 20primer 20on 20transformer 1 04 20 20understanding 20self attention 20mechanism ipynb 1 5 multi head attention mechanism 1 6 learning position with positional encoding 1 7 feedforward network 1 8 add and norm component 1 9 putting all encoder components together 1 10 understanding decoder of transformer 1 11 masked multi head attention 1 12 feedforward network 1 13 add and norm component 1 14 linear and softmax layer 1 15 putting all decoder components together 2 understanding the bert model 2 20understanding 20bert 20model 2 1 basic idea of bert 2 2 working of bert 2 3 configuration of bert 2 4 pre training the bert 2 5 pre training strategies 2 6 pre training procedure 2 7 subword tokenization algorithms 2 8 byte pair encoding 2 9 byte level byte pair encoding 2 10 wordpiece 3 getting hands on with bert 3 20getting 20hands on 20with 20bert 3 1 pre trained bert model 3 2 extracting embeddings from pre trained bert 3 20getting 20hands on 20with 20bert 3 02 20extracting 20embeddings 20from 20pre trained 20bert 20 ipynb 3 3 generating bert embedding 3 20getting 20hands on 20with 20bert 3 03 20generating 20bert 20embedding 20 ipynb 3 4 extracting embeddings from all encoder layers of bert 3 20getting 20hands on 20with 20bert 3 04 20extracting 20embeddings 20from 20all 20encoder 20layers 20of 20bert ipynb 3 5 finetuning bert for downstream tasks 3 6 text classification 3 20getting 20hands on 20with 20bert 3 06 20text 20classification ipynb 3 7 natural language inference 3 8 question answering 3 9 q a with fine tuned bert 3 10 named entity recognition 4 bert variants i albert roberta electra spanbert 4 20bert 20variants 20i 20 20albert 2c 20roberta 2c 20electra 2c 20spanbert 4 1 a lite version of bert 4 2 training the albert 4 3 extracting embedding with albert 4 4 robustly optimized bert pretraining approach 4 5 exploring the roberta tokenizer 4 20bert 20variants 20i 20 20albert 2c 20roberta 2c 20electra 2c 20spanbert 4 05 20exploring 20the 20roberta 20tokenizer 20 ipynb 4 6 understanding electra 4 7 generator and discriminator of electra 4 8 training the electra model 4 9 predicting span with spanbert 4 10 architecture of spanbert 4 11 exploring spanbert 4 12 performing question answering with pre trained spanbert 4 20bert 20variants 20i 20 20albert 2c 20roberta 2c 20electra 2c 20spanbert 4 12 20performing 20question answering 20with 20pre trained 0aspanbert 20 ipynb 5 bert variants ii based on knowledge distillation 5 20bert 20variants 20ii 20 20based 20on 20knowledge 20distillation 5 1 knowledge distillation 5 2 distilbert distilled version of bert 5 3 training the distilbert 5 4 tinybert 5 5 teacher student architecture 5 6 training the tinybert 5 7 transferring knowledge from bert to neural network 5 8 teacher student architecture 5 9 training the student network 5 10 data augmentation method 6 exploring bertsum for text summarization 6 20exploring 20bertsum 20for 20text 20summarization 6 1 text summarization 6 2 fine tuning bert for text summarization 6 3 extractive summarization using bert 6 4 abstractive summarization using bert 6 5 understanding rouge evaluation metric 6 6 performance of bertsum model 6 7 training the bertsum model 6 20exploring 20bertsum 20for 20text 20summarization 6 07 20training 20the 20bertsum 20model 20 ipynb 7 applying bert for other languages 7 20applying 20bert 20for 20other 20languages 7 1 understanding multilingual bert 7 2 how multilingual is the multilingual bert 7 3 cross lingual language model 7 4 understanding xlm r 7 5 language specific bert 7 6 flaubert for french 7 7 getting representation of french sentence with flaubert 7 20applying 20bert 20for 20other 20languages 7 07 20getting 20representation 20of 20french 20sentence 20with 20flaubert 20 ipynb 7 8 beto for spanish 7 9 predicting masked word using beto 7 20applying 20bert 20for 20other 20languages 7 09 predicting 20masked 20word 20using 20beto 20 ipynb 7 10 bertje for dutch 7 11 next sentence prediction with bertje 7 20applying 20bert 20for 20other 20languages 7 11 20next 20sentence 20prediction 20with 20bertje ipynb 7 12 german chinese and japanese bert 7 13 understanding finbert and umberto 7 14 bertimbau for portuguese 7 15 rubert for russian 8 exploring sentence and domain specific bert 8 20exploring 20sentence 20and 20domain 20specific 20bert 8 1 learning sentence representation with sentence bert 8 2 understanding sentence bert 8 3 exploring sentence transformers library 8 20exploring 20sentence 20and 20domain 20specific 20bert 8 03 20exploring 20sentence transformers 20library 20 ipynb 8 4 computing sentence representation using sentence bert 8 5 computing sentence similarity 8 20exploring 20sentence 20and 20domain 20specific 20bert 8 05 20computing 20sentence 20similarity 20 ipynb 8 6 loading custom models 8 7 finding a similar sentence with sentence bert 8 20exploring 20sentence 20and 20domain 20specific 20bert 8 07 20finding 20a 20similar 20sentence 20with 20sentence bert 20 ipynb 8 8 learning multilingual embeddings through knowledge distillation 8 9 exploring domain specific bert 8 10 clinical bert 8 11 biobert 9 understanding videobert bart and more 9 20understanding 20videobert 2c 20bart 2c 20and 20more 9 1 learning language and video representation with videobert 9 2 pre training objective 9 3 understanding bart 9 4 noising techniques 9 5 performing text summarization with bart 9 20understanding 20videobert 2c 20bart 2c 20and 20more 9 05 20performing 20text 20summarization 20with 20bart 20 ipynb 9 6 ktrain 9 7 sentiment analysis using ktrain 9 20understanding 20videobert 2c 20bart 2c 20and 20more 9 07 20sentiment 20analysis 20using 20ktrain ipynb 9 8 building a document answering model 9 20understanding 20videobert 2c 20bart 2c 20and 20more 9 08 20building 20a 20document 20answering 20model 20 ipynb 9 9 document summarization 9 20understanding 20videobert 2c 20bart 2c 20and 20more 9 09 20document 20summarization ipynb 9 10 computing sentence representation using bert as service 9 20understanding 20videobert 2c 20bart 2c 20and 20more 9 10 20computing 20sentence 20representation 20using 20bert 20as 20service ipynb 9 11 computing contextual word representation 9 20understanding 20videobert 2c 20bart 2c 20and 20more 9 11 20computing 20contextual 20word 20representation 20 ipynb | bert transformer huggingface-transformers albert roberta spanbert electra distilbert nlp pytorch videobert bart tinybert bertsum sentence-bert sbert clinical-bert | ai |
prontoqa | prontoqa and prontoqa ood this repo contains prontoqa ood as described in our papers 1 language models are greedy reasoners a systematic formal analysis of chain of thought https arxiv org pdf 2210 01240 pdf 2 testing the general deductive reasoning capacity of large language models using ood examples https browse arxiv org pdf 2305 15269 pdf prontoqa and prontoqa ood generate question answering examples with chains of thought that describe the reasoning required to answer the questions correctly the sentences in the examples are syntactically simple and amenable to semantic parsing and so this code can be used to formally analyze the predicted chain of thought from large language models note the v1 branch contains the version of the repo corresponding to the original prontoqa paper if you use our code in your work please cite our papers inproceedings prontoqa title language models are greedy reasoners a systematic formal analysis of chain of thought author abulhair saparov and he he booktitle the eleventh international conference on learning representations year 2023 url https openreview net forum id qfvvbzxxr2v article prontoqaood title testing the general deductive reasoning capacity of large language models using ood examples author abulhair saparov and richard yuanzhe pang and vishakh padmakumar and nitish joshi and seyed mehran kazemi and najoung kim and he he journal corr volume abs 2305 15269 year 2023 url https doi org 10 48550 arxiv 2305 15269 doi 10 48550 arxiv 2305 15269 eprinttype arxiv eprint 2305 15269 running experiments to generate the examples and evaluate models use run experiment py run experiment py there are a number of command line flags model name gpt3 opt unifiedqa dummy specifies the model to test the dummy model is a trivial model used for testing that outputs nothing for any input model size size where size indicates the version or size of the model for gpt 3 this must be the openai identifier for the model for example to use the instructgpt 350m parameter model specify model size text ada 001 ordering postorder preorder random specifies the order of the context sentences of each question num trials n specifies the number of examples per experiment few shot examples n specifies the number of few shot in context examples given in each experiment example ontology fictional true false indicates which ontology type to generate min hops n max hops m hops skip k specifies which hop counts to test an experiment is run with n hops then another experiment is run with n k hops n 2k and so on until the number of hops exceeds m the output of the experiments are written to a file whose name is automatically determined based on the above flag configuration resume is another very useful flag that prevents the program from restarting the experiment at trial 0 if partial results already exist rather the program will continue the experiment where it left off the model outputs from our experiments are provided in model outputs v1 zip for the original prontoqa and model outputs ood zip for prontoqa ood generating data without running experiments to generate data in json format use the run experiment py script with the flag model name json see the above section for details on the other arguments the generated data for our experiments is available in generated ood data zip analyzing output once run experiment py has saved the model predictions to files they can be analyzed with analyze results py analyze results py without any arguments this script will reproduce all results figures in our paper the script make plots py generates all the plots in the prontoqa ood paper to analyze the output of a single file run analyze results py filename this script supports the reading of both json formatted output files as well as the log files output by run experiment py the expected json format is as follows example1 test example model output model output as a string including the predicted label example2 test example model output model output as a string including the predicted label | dataset-generation large-language-models question-answering | ai |
Front-End-Bible | http i68 tinypic com 2cohq90 jpg the front end bible the ultimate resource for front end developers new and old this is a repository of tips and tricks with easy to follow guides to get them up and running on your website we are also going to concentrate on uploading interview advice and a review section of online lessons and courses concerning front end web development however this is also a community project aimed at getting those who are not familiar with the workings of git and version control to practice in a friendly environment practice push pull requests and build your github profile whilst contributing to an actual project getting started to get started and start browsing through the various snippets of code to add to your project find the relevant folder above the names of each file will be relevant for what is inside and when there is enough files submitted we will create sub folders for example animations typography borders etc etc to contribute a tip trick inside each file you will find a commented section this will contain the relevant information on how to implement each snippet of code into your file if there is any other code necessary it will be included to contribute a course review go to the relevant section and post your review as a md file the title should be the name of the course and the course creator if known give an honest review and a run down of what the course contains to contribute an interview question answer go to the relevant question and post a new file with the question name as the title as a md file write the question in full and then answer underneath if you have another answer to a question that has already been created then push a commit to the original file and place your answer underneath the original one contribute every contribution is gratefully recieved no matter how simple or complicated if this is your first time contributing to a repository then simply fork the repo and push your commit with a relevant file name if anything needs changing then i will change to suit dont feel embarassed or reluctant if you don t fully understand you cant break anything here current contributors https github com jabedford https github com jeremybbauer https github com romchyfcc https github com arun4033622 https github com ntjnh https github com ravikishorethella https github com thejdexp https github com hafeezshaik0011 | front_end |
|
mina | build status develop berkeley compatible build status develop https badge buildkite com 0c47452f3ea619d3217d388e0de522b218db28c3e161887a9a svg branch develop https buildkite com o 1 labs 2 mina end to end nightlies build status berkeley https badge buildkite com 0c47452f3ea619d3217d388e0de522b218db28c3e161887a9a svg branch berkeley https buildkite com o 1 labs 2 mina end to end nightlies build status compatible https badge buildkite com 0c47452f3ea619d3217d388e0de522b218db28c3e161887a9a svg branch compatible https buildkite com o 1 labs 2 mina end to end nightlies a href https minaprotocol com img src https github com minaprotocol docs blob main public static img svg mina wordmark redviolet svg raw true sanitize true width 350 alt mina logo a mina mina is the first cryptocurrency with a lightweight constant sized blockchain this is the main source code repository for the mina project and contains code for the ocaml protocol implementation the mina protocol website https minaprotocol com and wallet enjoy notes mina is still under active development and apis are evolving if you build on the apis be aware that breaking changes can occur the mina implementation of the rosetta api offers a more stable and useful interface for retrieving the blockchain s state rosetta is run as a separate process and it relies on an archive being connected to a node the source code for the archive and rosetta implementation are in src app archive https github com minaprotocol mina tree develop src app archive and src app rosetta https github com minaprotocol mina tree develop src app rosetta be sure to follow updates in the project if these resources are relocated what is mina mina walkthrough mina protocol https docs minaprotocol com documentation installing and using a third party wallet https docs minaprotocol com using mina install a wallet sending a payment using mina s cli https docs minaprotocol com node operators sending a payment become a node operator https minaprotocol com docs getting started technical papers mina whitepaper https eprint iacr org 2020 352 pdf blog mina protocol blog https minaprotocol com blog html contributing for information on how to make technical and non technical contributions see the repository contributing guidelines in contributing https github com minaprotocol mina blob develop contributing md and the contributing guide https docs minaprotocol com node developers contributing docs developers the node developers https docs minaprotocol com node developers docs contain helpful information about contributing code to mina and using mina apis to build applications quick links developer readme readme dev md running a demo node docs demo md lifecycle of a payment https docs minaprotocol com node operators lifecycle of a payment community join the public mina protocol discord server https discord gg minaprotocol please come by if you need help or have any questions participate in our online communities https docs minaprotocol com participate online communities get the latest updates by signing up for the mina newsletter select sign up for newsletter https minaprotocol com on the home page of the mina protocol website license apache 2 0 license commits older than 2018 10 03 do not have a license license file or this notice but are distributed under the same terms | cryptocurrency blockchain ocaml zk-snarks mina | blockchain |
zeke | zero kernel mainpage zeke is a tiny unix like operating system implementation that has grown up from a tiny single user cmsis like embedded operating system sonarcloud https sonarcloud io dashboard id zeke os zeke key features kernel fully pre emptible kernel mode object oriented thread scheduling system one to one kernel threads for user processes freebsd like sysctl interface processes aslr copy on write virtual memory per process capabilities capabilities can fully replace the magic unix super user unix like fork and exec elf32 support linux style elf32 core dumps ipc signals mmap pipes pty file systems complete file system abstraction vfs fat12 16 32 support fast ram file system mbr support freebsd like device file interface userland mostly c99 compliant libc standard user application separation by using posix processes system call based kernel services port status hal status documentation arm11 stable running zeke on arm doc arm md nbsp nbsp bcm2835 stable nbsp nbsp qemu stable running zeke in qemu doc qemu md mipsel32 incomplete running zeke on mips doc mips md nbsp nbsp jz4780 incomplete documentation introduction to zeke doc readme md build system doc build md zeke coding standards and guidelines doc coding standards md | kernel operating-system libc zeke rtos posix-compatible | os |
BAD-BiAs-Detection-in-LLMs | bad bias detection in llms bad bias detection for large language models in the context of candidate screening eecs 692 directory instructions the cat folder contains the context association test and the scripts to run the test please make sure to insert your openai api key and organization key the parent dircetory contains the preprocessed data that was used for the analysis main paper can be found here https arxiv org abs 2305 10407 | ai |
|
front-end-conferences | front end conferences this is a list of upcoming front end related conferences if you know of any other ones that haven t been listed yet fork this repository and create a new pull request the following content can also be found on https frontendfront com conferences https frontendfront com conferences asia international javascript conference singapore https javascript conference com singapore 11 14 december 2023 singapore singapore or online europe jsworld conference 2023 https jsworldconference com 8 10 february 2023 amsterdam the netherlands vuejs amsterdam 2023 https vuejs amsterdam 9 10 february 2023 amsterdam the netherlands javascript days angular days react days und html css days https javascript days de muenchen 20 23 march 2023 munich germany or online international javascript conference london https javascript conference com london 24 27 april 2023 london united kingdom or online we love speed 2023 https www welovespeed com 2023 10 may 2023 paris france recorded and later available online smashingconf freiburg https smashingconf com freiburg 2023 4 6 september 2023 freiburg germany or online uxday https 2023 uxday it 29 september 2023 verona italy or online react live conference https reactlive nl 29 september 2023 amsterdam the netherlands javascript days angular days react days und html css days berlin https javascript days de berlin 16 19 october 2023 berlin germany or online international javascript conference munich https javascript conference com munich 23 27 october 2023 munich germany or online reactjsday https 2023 reactjsday it 29 october 2023 verona italy or online ffconf https 2023 ffconf org 10 november 2023 brighton united kingdom wey wey web https www weyweyweb com 23 24 november 2023 malaga spain angularday https www angularday it 24 november 2023 verona italy or online vuejs amsterdam https vuejs amsterdam 28 29 february 1 march 2024 amsterdam netherlands jsworld conference https jsworldconference com 28 29 february 1 march 2024 amsterdam netherlands devworld conference https devworldconference com 28 29 february 2024 amsterdam netherlands international javascript conference london https javascript conference com london 8 11 april 2024 london united kingdom app js conf 2024 https appjs co 22 24 may 2024 krak w poland or online north america international javascript conference new york https javascript conference com new york 25 28 september 2023 new york usa or online confoo montreal https confoo ca en 2024 21 23 february 2024 montreal canada | front_end |
|
Exploratory-Areas-Auctions | exploratory areas auctions project to 2014 2015 databases course of bachelors degree in computer science and engineering 2nd year instituto superior t cnico goals a database system with a web frontend to manage concession of oceans exploratory areas project group https github com carboned4 | sql data-warehouse php databases academic-project | server |
Memorize | memorize complex app using swiftui mvvm this app a made with according to stanford university school of engineering developing apps for ios cs193p spring 2020 demo https user images githubusercontent com 72257791 129552554 285d896b 188e 4411 bf1c 7889d229af94 mp4 | os |
|
EmbeddedSystems_ADC_SW_Trigger | embeddedsystems adc sw trigger sample code for a adc analog to digital conversion for sw trigger design in embedded systems lecture | os |
|
rpi3rtos | rpi3rtos a simple rtos for the raspberry pi 3 a recent job application of mine was rejected because it did not contain the terms rtos and c as a result i decided to take on a personal daily challenge to write a simple rtos in c for the raspberry pi 3 i ve leveraged much of what i learned in my rpi3fxproc https github com rahealy rpi3fxproc project and continue to see how much working code can be written in 1 day 2 days and so on current saturday february 29 2020 current b ast b at this point i feel ready to call this a true multi tasking operating system implementing fifo and round robin priority queues february 10th was my first full day working on this project but i m going to start counting days from february 9th that makes 20 days from beginning to working pre alpha my informal goal for this point was 2 weeks 14 days i skipped a few days here and there to do other things with my life so i m still pretty satisfied with the timeline right now rpi3rtos is not a usable os in the general sense however working proof of concept examples are provided please see the rpi3rtos examples readme md for details b ast b just a reminder that i m actively looking for paid work either locally twin cities minnesota usa or remotely if you believe i could be of service to your organization or know of an organization that is looking for a dedicated employee committed to a lifetime of learning and serving others please feel free to contact me through linkedin https www linkedin com in richardarthurhealy thank you so much what s next finish mmu mmu initialization routines are about 3 4 of the way done special high priority tasks which provide interfaces to hardware uart i2c i2s pwm system timers kernel logging de clutter uart output log levels 1 4 performance profiling how long do things take older wednesday february 26 2020 update covers several days task switching works task suspend and sleep syscalls are in progress decided on a sorted linked list for task priority currently the os is limited to 8 tasks so btree or other data structure seems unnecessary mmu is on hold tasks need to behave on their own for now currently the kernel clock tick duration is one second to allow all the debugging messages to scroll by looking to get a pre alpha release out later today saturday february 22 2020 0752 update covers several days built gcc aarch64 elf cross compiler qemu doesn t support rpi3 s system timer so switched over to local timer on core0 gcc always puts a got section in the elf since this is silent it was necessary to put a got section in the linker script so the linker script variables aligned to what is output below is output from the startup loader and task0 kernel rpi3rtos startup found startup list header at 0x8c000 rpi3rtos startup loading tasks from list at 0x8c008 rpi3rtos startup load task list found list item at 0x8c008 rpi3rtos startup load task list ro end 0x1ba2 rpi3rtos startup load task list rw beg 0x2000 rpi3rtos startup load task list rw end 0x2078 rpi3rtos startup load task list bss beg 0x2080 rpi3rtos startup load task list bss end 0xc000 rpi3rtos startup load task list seeking next list item at 0x8e080 rpi3rtos startup load task list found list item at 0x8e080 rpi3rtos startup load task list end of list begin loading rpi3rtos startup load task list loading task 0x0 image rpi3rtos startup load task list loading read only segment rpi3rtos startup load task list 0x8c008 0x200000 0x1ba2 bytes rpi3rtos startup load task list loading read write segment rpi3rtos startup load task list 0x8e008 0x202000 0x78 bytes rpi3rtos task header rebase re basing task 0x0 header to 0x200000 rpi3rtos task header rebase 0x40 0x200040 rpi3rtos task header rebase 0x30 0x200030 rpi3rtos task header rebase 0xb8 0x2000b8 rpi3rtos task bss zero 0x202080 0x20c000 rpi3rtos startup calling task0 start 0x202000 0x200040 rpi3rtos task0 init initializing kernel task0 rpi3rtos task0 init rebased exception vectors start 0x201000 rpi3rtos task0 init timer test rpi3rtos task0 init timer test done current elx irq timer tick current elx irq timer tick monday february 17 2020 0312 loading tasks from kernel image works calling task0 kernel start function works beginning task0 kernel code first up timer interrupts for context switches friday february 15 2020 got most of the mmu code written decided on memory layout and wrote startup loader wrote kernel task0 stub tried using autotools but couldn t make them do the right thing so backed out changes currently working on a linker issue that adds 10 s of kb of 0x00 to the task0 stub making 8kb grow to 40kb highly unexpected update adding something after the bss segment in a linker script causes the linker to include the whole bss section in the executable file will find another way wedneday february 12 2020 0946 got a big chunk of the hardware groundwork cpu init exception table uart done yesterday mmu and hardware timer will come today also c compiler seems to be oblivious not too aware of stack pointer manipulation in asm it will probably take some experimenting to get the context switching right monday february 10 2020 this is more or less the first full day of work after finishing up the diaspora client example https github com rahealy diaspora client example i have time to focus on daily contributions to this project researching options for how to implement project goals hardware global access to peripheral drivers by processes uart pl011 api message passing fifo in order by task priority mmu each task will run in its own block of memory and have a local stack unity mapped memory split among tasks l1 and l2 cache increases performance but might alter predictability timed slices of cpu each task will request one or more slices of time round robin guarantees priority guarantees scheduler task expected to maintain state of last successful slice task expected to deal with slice timeout retry irqs handled by single high priority task credits software this project contains code copyright c 2018 andre richter andre o richter gmail com and bzt https github com bztsrc https github com bztsrc all copyrights are respective of their owners much of the rpi hardware specific code in this project is derived from information in the bare metal and operating system development tutorials in rust on the raspberry pi 3 https github com rust embedded rust raspi3 os tutorials https github com rust embedded rust raspi3 os tutorials this is a recommended resource for anyone interested in learning the specifics involved in solving problems in this particular domain | os |
|
Employee-Database-with-SQL-data-Analysis-data-Engineering | sql challenge complete a research project on employees database of the corporation from the 1980s and 1990s all that remain of the database of employees from that period are six csv files 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 perform the following data modeling data engineering data analysis 1 data modeling inspecting the csvs and sketching out an erd of the tables using the app quickdbd image https user images githubusercontent com 68763904 109402414 8c92d900 790a 11eb 8c46 9f6c4d1a906a png 2 data engineering using the created diagram from the quickdbd to create a table for each of the six csv files remember specifying data types primary keys foreign keys and other constraints importing each csv file into the corresponding sql table 3 data analysis 1 list the following details of each employee employee number last name first name gender and salary 2 list employees who were hired in 1986 3 list the manager of each department with the following information department number department name the manager s employee number last name first name and start and end employment dates 4 list the department of each employee with the following information employee number last name first name and department name 5 list all employees whose first name is hercules and last names begin with b 6 list all employees in the sales department including their employee number last name first name and department name 7 list all employees in the sales and development departments including their employee number last name first name and department name 8 in descending order list the frequency count of employee last names i e how many employees share each last name | server |
|
Blockchain_SupplyChain | blockchain pharmaceutical supplychain this project showcases the journey of medicine on blockchain the pharmaceutical supply chain is the sequence of activities and process to bring raw drugs and matrials from supplier farms to processed medicine in pharm problems in exixting system shipment visibility expiration slow process and error prone paper work mutable and invalid source lack of coordination what we are providing accurate information across the entire chain at any point and at any location instant access to real time updates and alerts if issues are detected visibility of all handovers in the supply chain traceability back to source of all materials seamless collaboration between all parties reduce paper work and speedup process application workflow diagram https raw githubusercontent com kamalkishorm blockchain supplychain master assets flow blockchain pharmaceutical supplychain png roles 1 admin 2 supplier 3 transfporter 4 manufacturer 5 wholesaler 6 distributer 7 pharma admin admin register new users and assigne roles accourding to there work supplier supplier supply raw materials manufacturer by creating new batch with details of farm transporter transporter are responsible for shipping packages consignment form one stage to other manufacturer manufacturer is responsible to manufacturer new medicine batches for shipping to either wholesaler or distribute by updating information of raw materials details like batchid and consumption units that are use to manufacture new batch medicine and quantity wholesaler wholesaler is reponsible to receive medicine from manufacturer and validate medicine quality than transfer to distributer distrubuter distributer is reponsible to distribute medicne to pharms and do varification on medicine quality and condition pharma pharma is reponsible to provide right medicine to customer as per doctor priscribed and update medicine status tools and technologies solidity ethereum smart contract language metamask ethereum wallet ropsten test network use ropsten faucet to get ethers on ropsten network truffle infura web3js angularjs prerequisites nodejs v8 12 or above truffle v5 0 0 core 5 0 0 http truffleframework com docs getting started installation solidity v0 5 0 metamask https metamask io ganache https truffleframework com docs ganache quickstart contract deployment steps setting up ethereum smart contract git clone https github com kamalkishorm blockchain supplychain git cd blockchain supplychain update truffle js module exports networks development host localhost port 8545 network id match any network id ropsten provider function var mnemonic letter casino spread lawn water toward extend public gasp turn wave bone put eth wallet 12 mnemonic code return new hdwalletprovider mnemonic https ropsten infura io v3 infurakey gas 8000000 gasprice 60000000000 network id 3 go to your project folder in terminal then execute rm rf build truffle compile truffle migrate network ropsten reset please note 1 after successfully deployment you will get response in bash terminal like below starting migrations network name ropsten network id 3 block gas limit 8007811 1 initial migration js deploying migrations transaction hash 0x22a002f941602ff792cb66ea26b7c9acea8fbde14a7343789e0ae4b349a9ff75 blocks 1 seconds 109 contract address 0xc30c388ced2f27691b1ad0e70c1b51d726343acb account 0xdd56707585bd9392500bbb30eef767fb33299ff8 balance 4 00294387495 gas used 283300 gas price 60 gwei value sent 0 eth total cost 0 016998 eth saving migration to chain saving artifacts total cost 0 016998 eth 2 deploy supplychain js 0xdd56707585bd9392500bbb30eef767fb33299ff8 deploying supplychain transaction hash 0xd05404fd8a8481e4c867052760f14b5b290473848a9956873df52785819e4946 blocks 2 seconds 9 contract address 0xe384741cb0346543d8f7d5b72d0ff3663fc548d4 account 0xdd56707585bd9392500bbb30eef767fb33299ff8 balance 3 61046395495 gas used 6499304 gas price 60 gwei value sent 0 eth total cost 0 38995824 eth saving migration to chain saving artifacts total cost 0 38995824 eth summary total deployments 2 final cost 0 40695624 eth blockchain supplychain ui setting up supplychain ui git clone https github com kamalkishorm pharmaceutical supplychain ui git cd pharmaceutical supplychain ui npm i ng serve | supply-chain ethereum solidity infura truffle-framework metamask blockchain smart-contracts | blockchain |
webdev-references | webdev references web development references | webdev reference web development web-development | front_end |
Rapid-Embedded-Education-Kit | rapid embedded education kit welcome to our rapid embedded systems design education kit download the edkit here https github com arm university rapid embedded education kit archive refs heads main zip our flagship offering to universities worldwide is the arm university program education kit series these self contained educational materials offered exclusively and at no cost to academics and teaching staff worldwide they re designed to support your day to day teaching on core electronic engineering and computer science subjects you have the freedom to choose which modules to teach you can use all the modules in the education kit or only those that are most appropriate to your teaching outcomes our rapid embedded systems design education kit covers the fundamental principles of how to accelerate the development of embedded systems and rapidly prototype various embedded applications a full description of the education kit can be found here https www arm com resources education education kits rapid embedded systems getting involved we welcome contributions amendments modifications to this education kit for details please click on the following links how to contribute https github com arm university rapid embedded education kit blob main contributions and modifications contributions and modifications md type of modifications https github com arm university rapid embedded education kit blob main contributions and modifications desired contributions md we are looking for we also use projects https github com arm university rapid embedded education kit projects to track progress workflow https github com arm university rapid embedded education kit blob main contributions and modifications workflow pdf kit specification a full set of lecture slides ready for use in a typical 10 12 week undergraduate course full syllabus below lab manual with code solutions for faculty labs are based on low cost but powerful arm based hardware platforms prerequisites basics of programming in c c course aim to produce students who can design and program arm based embedded systems and implement them using commercial api syllabus 1 introduction to embedded systems 1 the arm cortex m4 processor architecture 1 introduction to arm cortex m4 programming 1 introduction to the mbed platform and cmsis 1 digital input and output io 1 interrupts and low power features 1 analog input and output 1 timer and pulse width modulation 1 serial communication 1 real time operating systems 1 final project audio player extra reading the arm cortex m processor architecture part 2 license you are free to amend modify fork or clone this material see license md https github com arm university rapid embedded education kit blob main license license md for the complete license inclusive language commitment arm is committed to making the language we use inclusive meaningful and respectful our goal is to remove and replace non inclusive language from our vocabulary to reflect our values and represent our global ecosystem arm is working actively with our partners standards bodies and the wider ecosystem to adopt a consistent approach to the use of inclusive language and to eradicate and replace offensive terms we recognise that this will take time this course contains references to non inclusive language it will be updated with newer terms as those terms are agreed and ratified with the wider community contact us at education arm com with questions or comments about this course you can also report non inclusive and offensive terminology usage in arm content at terms arm com in this material we use the terms controller and target in the context of the the i2c and spi protocols instead of the terms master and slave which were conventionally used until recently as a result the related concepts of miso and mosi become cito and coti | embedded-systems embedded arm cortex-m4 st-nucleo-f401re stm32 cortex-m hardware-designs cmsis real-time-operating-system | os |
UMD-CMSC498a-Intro-to-ESD | introduction to embedded systems development with the lpc 1769 a textbook for computer scientists taking an esd course at the university of maryland building at the moment this requires the following software pandoc 1 11 1 ubuntu has an old version so you might just want to build it yourself ruby 2 0 0 use rvm gpp 2 24 bibtool 2 55 ideally with the texlive full package or similar so you ll have a good selection of common latex packages to actually build the book rake book pdf to build each chapter seperately cd src chapter rake layout pdf | os |
|
maven-modern-nlp | introduction to language modeling with bert gpt3 and more this repository contains materials for our class on language modeling to use the code clone the repository and install the required packages specified in the requirements txt file the code has been tested with python 3 7 and above lesson 1 intro to llms and getting started with bert slides introduction to language modeling slides maven 20 20llm 20intro pdf introduction to bert slides maven 20 20intro 20to 20bert pdf code off the shelf bert notebooks off the shelf bert ipynb finetuning bert for classification notebooks finetuning bert classification ipynb data disaster detection from kaggle https www kaggle com c nlp getting started bert for information retrieval notebooks bert information retrieval ipynb lesson 2 querying conversations with flan t5 mapping out a prototype with a mind for production images convesation 20q a 20prototype png slides training fine tuning in pytorch slides maven 20 20huggingface 20 20training 20loops pdf code conversational flan t5 notebooks t5 conv ipynb lesson 3 introduction to openai slides gpt attention parameters slides maven 20 20gpt 20parameters pdf code openai prompting 101 notebooks openai prompting 101 ipynb lesson 4 advanced openai usage data sample openai fine tuning data data openai fine tuning 10 jsonl code openai prompting 201 notebooks openai prompting 201 ipynb openai embeddings 101 notebooks openai embeddings 101 ipynb openai finetuning 101 notebooks openai finetuning ipynb | bert gpt3 chatgpt machine-learning nlp t5 | ai |
neas | neas the net embedded application server aims to provide easy application development for headless embedded systems entirely written in c the idea is to make hardware near application development as easy and flexible as modern client server appliations on iis or tomcat while maintaining minimum hardware requirements and offering maximum performance quick start to get started with neas create a new console application and install the neas core nuget package in the program cs code generation one of the main ideas of neas is to use code generation where other frameworks use reflection | os |
|
qml | qml a python toolkit for quantum machine learning build status https travis ci org qmlcode qml svg branch master https travis ci org qmlcode qml doi https badge fury io py qml svg https badge fury io py qml doi https zenodo org badge 89045103 svg https zenodo org badge latestdoi 89045103 qml is a python2 3 compatible toolkit for representation learning of properties of molecules and solids current list of contributors anders s christensen university of basel felix a faber university of basel bing huang university of basel lars a bratholm university of copenhagen alexandre tkatchenko university of luxembourg klaus robert muller technische universitat berlin korea university o anatole von lilienfeld university of basel 1 citing qml until the preprint is available from arxiv please cite this github repository as as christensen la bratholm fa faber b huang a tkatchenko kr muller oa von lilienfeld 2017 qml a python toolkit for quantum machine learning https github com qmlcode qml 2 get help documentation and installation instruction is found at http www qmlcode org 3 license qml is freely available under the terms of the mit license | ai |
Subsets and Splits