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jax - Readme

Recent Trend

rotate
Create recursive image rotation animations
Keiko-Corp
HTML challenge for Hacktoberfest 2020
framework

cortex
A horizontally scalable, highly available, multi-tenant, long term Prometheus.
trojan-go
Go实现的Trojan代理,支持多路复用/路由功能/CDN中转/Shadowsocks混淆插件,多平台,无依赖。A Trojan proxy written in Go. An unidentifiable mechanism that helps you bypass GFW. https://p4gefau1t.github.io/trojan-go/
DataStructures-Algorithms
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
mlbook
Repository for the free online book Machine Learning from Scratch (link below!)
EssayKiller_V2
基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化
hetty
Hetty is an HTTP toolkit for security research. It aims to become an open source alternative to commercial software like Burp Suite Pro, with powerful features tailored to the needs of the infosec and
fission
Fast and Simple Serverless Functions for Kubernetes
Few-Shot-Patch-Based-Training
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
raspi3-tutorial
Bare metal Raspberry Pi 3 tutorials
DS-Algo-Point
This repository contains codes for various data structures and algorithms in C, C++, Java, Python.
chibicc
A small C compiler
awesome-for-beginners
A list of awesome beginners-friendly projects.
first-contributions
?✨ Help beginners to contribute to open source projects
ajour
A World of Warcraft addon manager written in Rust.
open-project-1
Unity Open Project #1: Action-adventure
CPP
Repository for C++/C codes and algos.Star the repo too.
PySyft
A library for answering questions using data you cannot see
zhaopp
一个Google Drive搜索引擎 https://zhao.pp.ua/
imaginaire
NVIDIA PyTorch GAN library with distributed and mixed precision support
datasets
? Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas
proshop_mern
Shopping cart built with MERN & Redux
puma
A Ruby/Rack web server built for concurrency
kubebuilder
Kubebuilder - SDK for building Kubernetes APIs using CRDs
csharplang
The official repo for the design of the C# programming language
DevUtils-app
Developer Utilities for macOS
elsa
❄️ Elsa is a minimal, fast and secure runtime for Javascript and Typescript written in Go
Flutter-AI-Rubik-cube-Solver
Flutter-Python rubiks cube solver.
jukebox
Code for the paper "Jukebox: A Generative Model for Music"
azure-cli
Azure Command-Line Interface
terraform-aws-vpc
Terraform module which creates VPC resources on AWS
MEDUZA
A more or less universal SSL unpinning tool for iOS
vuetify
? Material Component Framework for Vue
scripts
京东薅羊毛工具(活动入口:京东app->我的->游戏与互动->查看更多)讨论组:https://t.me/JD_fruit_pet
kubeedge
Kubernetes Native Edge Computing Framework (project under CNCF)
hacktoberfest-swag-list
Multiple companies give out swag for Hacktoberfest, and this repo tries to list them all.
visx
? visx | visualization components
CyberChef
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
winget-cli
Windows Package Manager CLI (aka winget)
ts-sql
A SQL database implemented purely in TypeScript type annotations.
azure-sdk-for-js
This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-
cool-retro-term
A good looking terminal emulator which mimics the old cathode display...
rocketmq
Mirror of Apache RocketMQ
Hippy
A cross platform framework designed for Web developer. Introduction video - https://v.qq.com/x/page/i3038urj2mt.html
Tinyhttpd
Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server,用来学习非常不错,可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net
ta-lib
Python wrapper for TA-Lib (http://ta-lib.org/).
GNNPapers
Must-read papers on graph neural networks (GNN)
Impostor
Impostor - An open source reimplementation of the Among Us Server
Real_Time_Image_Animation
The Project is real time application in opencv using first order model
Windows-10-Sophia-Script
Script to setup Windows 10 LTSC/1903/1909/2004/2009
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
go-diagrams
Create beautiful system diagrams with Go
crochet
Explorations in reactive UI patterns
led
Modern, lightweight and efficient 2D level editor
duf
Disk Usage/Free Utility
Hazel
Hazel Engine
PayloadsAllTheThings
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
send
Simple, private file sharing from the makers of Firefox
windows
V2ray , Trojan, Trojan-go, NaiveProxy, shadowsocksR install tools for windows V2ray,Trojan,Trojan-go, NaiveProxy, shadowsocksR的一键安装工具windows下用(一键科学上网)
silero-models
Silero Models: pre-trained STT models and benchmarks made embarrassingly simple
vue-next
Repo for Vue 3.0 (currently in RC)
FreeCAD
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler. Issues are managed on our own bug tracker at https://www.freecadweb.org/tracker
kb
A minimalist knowledge base manager
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mimikatz
A little tool to play with Windows security
vagas-junior-estagio
Empresas que constantemente oferecem vagas para junior e estagiários
material-shell
A modern desktop interface for Linux. Improve your user experience and get rid of the anarchy of traditional desktop workflows. Designed to simplify navigation and reduce the need to manipulate window
dayjs
⏰ Day.js 2KB immutable date library alternative to Moment.js with the same modern API
ML_course
EPFL Machine Learning Course, Fall 2019
create-react-app
Set up a modern web app by running one command.
Background-Matting
Background Matting: The World is Your Green Screen
Kingfisher
A lightweight, pure-Swift library for downloading and caching images from the web.
istio
Connect, secure, control, and observe services.
linux-command
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
yearn-protocol
Yearn solidity smart contracts
pebble
RocksDB/LevelDB inspired key-value database in Go
jazzit
Laughs at your expense
moment
Parse, validate, manipulate, and display dates in javascript.
n8n
Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
Hero
Elegant transition library for iOS & tvOS
DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
eat_tensorflow2_in_30_days
Tensorflow2.0 ?? is delicious, just eat it! ??
tmpmail
✉️ A temporary email right from your terminal
team-comtress-2
Team Fortress 2, but with a lot of fixes, QoL improvements and performance optimizations!
CVE-2020-1472
PoC for Zerologon - all research credits go to Tom Tervoort of Secura
DefinitelyTyped
The repository for high quality TypeScript type definitions.
rails
Ruby on Rails
stats-illustrations
R & stats illustrations by @allison_horst
pytorch-gans
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN, cGAN, DCGAN, etc.
data-science-interviews
Data science interview questions and answers
sds1

jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
Notebooks
Learn Python for free using open-source notebooks in Hebrew.
jellyfin
The Free Software Media System
BIGTREETECH-SKR-mini-E3
BIGTREETECH SKR-mini-E3 motherboard is a ultra-quiet, low-power, high-quality 3D printing machine control board. It is launched by the 3D printing team of Shenzhen BIGTREE technology co., LTD. This bo
XiaomiADBFastbootTools
A simple tool for managing Xiaomi devices on desktop using ADB and Fastboot
fastmac
Get a MacOS or Linux shell, for free, in around 2 minutes
pipedream
Serverless integration and compute platform. Free for developers.
DeepVision
在我很多项目中用到的CV算法推理框架应用。
dive
A tool for exploring each layer in a docker image
libra
Libra’s mission is to enable a simple global payment system and financial infrastructure that empowers billions of people.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters,
kinto

CVE-2020-1472
Test tool for CVE-2020-1472
leetcode_company_wise_questions
This is a repository containing the list of company wise questions available on leetcode premium
makani
Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This r
Fantasy-Premier-League
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
graal
GraalVM: Run Programs Faster Anywhere ?
understand-nodejs
通过源码分析nodejs原理
tensorboard
TensorFlow's Visualization Toolkit
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Relativty
An open source VR headset with SteamVR supports for $200
guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
UTM
Virtual machines for iOS
v2ray-heroku
用于在 Heroku 上部署 V2Ray Websocket,本项目不宜做为长期使用之对策。
learning
Becoming 1% better at data science everyday
wirehole

minecraft-react

mem-doc
This is a document to help with .NET memory analysis and diagnostics.
HarmonyOS
A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
radar-covid-backend-dp3t-server
DP^3T Radar COVID fork
eiten
Statistical and Algorithmic Investing Strategies for Everyone
radar-covid-backend-verification-server
Radar COVID Verification Service
radar-covid-ios
Native iOS app using DP^3T iOS sdk to handle Exposure Notification framework from Apple
radar-covid-android
Native Android app using DP^3T Android sdk to handle Exposure Notifications API from Google
react-challenge-amazon-clone

solana
Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
cockroach
CockroachDB - the open source, cloud-native distributed SQL database.
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
hwp.js
Open source hwp viewer and parser library powered by web technology
awesome-react
A collection of awesome things regarding React ecosystem
connectedhomeip
Project Connected Home over IP is a new Working Group within the Zigbee Alliance. This Working Group plans to develop and promote the adoption of a new connectivity standard to increase compatibility
Yolo-Fastest
⚡ Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
laravel
A PHP framework for web artisans
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
cim
?cim(cross IM) 适用于开发者的分布式即时通讯系统
ESP32-WiFi-Hash-Monster
WiFi Hash Purple Monster, store EAPOL & PMKID packets in an SD CARD using a M5STACK / ESP32 device
react-portfolio

Algorithms
A collection of algorithms and data structures
frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
funNLP
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名
GRAT2
We developed GRAT2 Command & Control (C2) project for learning purpose.
DescomplicandoKubernetes

aes-finder
Utility to find AES keys in running processes
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
ultimate-python
Ultimate Python study guide for newcomers and professionals alike. ? ? ?
sushiswap-frontend

pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
awesome-flutter
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
Interview_Question_for_Beginner
? ? Technical-Interview guidelines written for those who started studying programming. I wish you all the best. ?
free

talk
A group video call for the web. No signups. No downloads.
bitcoin
Bitcoin Core integration/staging tree
eleventy-high-performance-blog
A high performance blog template for the 11ty static site generator.
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
ghcide
A library for building Haskell IDE tooling
moon
? The minimal & fast library for functional user interfaces
jdk
JDK main-line development
Tasmota
Alternative firmware for ESP8266 with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full docum
Server
PanDownload的个人维护版本
a32nx
The A32NX Project is a community driven open source project to create a free Airbus A320neo in Microsoft Flight Simulator that is as close to reality as possible. It aims to enhance the default A320ne
keras
Deep Learning for humans
Red-Teaming-Toolkit
A collection of open source and commercial tools that aid in red team operations.
data-engineer-roadmap
Roadmap to becoming a data engineer in 2020
hivemind
Decentralized deep learning framework in pytorch. Built to train models on thousands of volunteers across the world.
scipio
Scipio is a thread-per-core framework that aims to make the task of writing highly parallel asynchronous application in a thread-per-core architecture easier for rustaceans
hoppscotch
? A free, fast and beautiful API request builder used by 75k+ developers. https://hoppscotch.io
Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.
KingOfBugBountyTips

autoscraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
100-nlp-papers
100 Must-Read NLP Papers
croc
Easily and securely send things from one computer to another ? ?
spark-nlp
State of the Art Natural Language Processing
display-switch
Turn a $30 USB switch into a full-featured multi-monitor KVM switch
surpriver
Find big moving stocks before they move using machine learning and anomaly detection
flink-learning
flink learning blog. http://www.flink-learning.com 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监
deeplearning-models
A collection of various deep learning architectures, models, and tips
fes.js
Fes.js 是一个管理台应用解决方案,提供初始项目、开发调试、编译打包的命令行工具,内置布局、权限、数据字典、状态管理、Api等多个模块,文件目录结构即路由,用户只需要编写页面内容。基于Vue.js,内置管理台常用能力,让用户写的更少,更简单。经过多个项目中打磨,趋于稳定。
stitches
The modern styling library. Near-zero runtime, server-side rendering, multi-variant support, and best-in-class developer experience.
18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia
grafana
The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More
fortify

jetstream

scikit-learn-tips
?⚡ Daily scikit-learn tips
12306
12306智能刷票,订票
desafio-6-2020

30-seconds-of-code
Short JavaScript code snippets for all your development needs
gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
toBeTopJavaer
To Be Top Javaer - Java工程师成神之路
companies-sponsoring-visas
A list of companies that sponsor employees from other countries.
howtheytest
A collection of public resources about how software companies test their software
bicep

htop
htop - an interactive process viewer
portainer
Making Docker management easy.
gorm
The fantastic ORM library for Golang, aims to be developer friendly
SuperPower
Here you should find the best power supplies for your low-power projects
CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
vimac
Vimium for macOS.
Windows10Debloater
Script to remove Windows 10 bloatware.
HowToHunt
Some Tutorials and Things to Do while Hunting That Vulnerability.
Hack-Tools
The all-in-one Red Team extension for Web Pentester ?
KingOfBugBountyTips

Showkase
? Showkase is an annotation-processor based Android library that helps you organize, discover, search and visualize Jetpack Compose UI elements
webrtc-for-the-curious
WebRTC for the Curious: Go beyond the APIs
matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization ??
Flutter-Course-Resources
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
flutter-development-roadmap
Flutter App Developer Roadmap - A complete roadmap to learn Flutter App Development. I tried to learn flutter using this roadmap. If you want to add something please contribute to the project. Happy L
objax

sushiswap
? SushiSwap smart contracts
Cloudreve
?支持多家云存储的云盘系统 (A project helps you build your own cloud in minutes)
learn-python
? Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Python-programming-exercises
100+ Python challenging programming exercises
learn-python3
Jupyter notebooks for teaching/learning Python 3
vscode-debug-visualizer
An extension for VS Code that visualizes data during debugging.
rapier
2D and 3D physics engines focused on performances.
project-guidelines
A set of best practices for JavaScript projects
d3
Bring data to life with SVG, Canvas and HTML. ???
OpenBot
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones suppo
speakeasy
Windows kernel and user mode emulation.
Learn-Vim
A book for learning the Vim editor
maratona-fullcycle-4

arwes
Futuristic Sci-Fi and Cyberpunk Graphical User Interface Framework for Web Apps
gitignore
A collection of useful .gitignore templates
black
The uncompromising Python code formatter
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
shift-ctrl-f
? Search the information available on a webpage using natural language instead of an exact string match.
traefik
The Cloud Native Edge Router
TecoGAN
This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN
present
A terminal-based presentation tool with colors and effects.
gitpod
Gitpod is an open-source Kubernetes application providing prebuilt, collaborative development environments in your browser - powered by VS Code.
compose-samples

react-native-navigation
A complete native navigation solution for React Native
kubernetes-examples
Minimal self-contained examples of standard Kubernetes features and patterns in YAML
vscode
Visual Studio Code
cpp-httplib
A C++ header-only HTTP/HTTPS server and client library
AWS-SAA-C02-Course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
clean-architecture-swiftui
A demo project showcasing the production setup of the SwiftUI app with Clean Architecture
Gooey
Turn (almost) any Python command line program into a full GUI application with one line
baiduwp-php
PanDownload网页复刻版
latexify_py
Generates LaTeX math description from Python functions.
open-source-cs-python

RAFT

volt-bootstrap-5-dashboard
⚡️ Volt Bootstrap 5 Admin Dashboard Template with vanilla Javascript
itlwm
Intel Wi-Fi Drivers
packer
Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
open-source-cs
Video discussing this curriculum:
nsfw-filter
A Google Chrome / Firefox extension that blocks NSFW images from the web pages that you load using TensorFlow JS.
sudoku-solver
Smart solution to solve sudoku in VR
desafio-4-2020

msfs-a320neo

mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
certified-kubernetes-administrator-course
Certified Kubernetes Administrator - CKA Course
everyones-guide-for-starting-up-on-wechat-network
微信互联网平民创业
manim
Animation engine for explanatory math videos
CS-Notes
我的自学笔记,在学习shell和MLSys,整理C++、算法、操作系统,后续学习分布式系统,终身更新。
egua
? Linguagem de programação simples e moderna em português
talent-plan
open source training courses about distributed database and distributed systemes
godot
Godot Engine – Multi-platform 2D and 3D game engine
desafio-3-2020

optuna
A hyperparameter optimization framework
Ventoy
A new bootable USB solution.
Alt-F4
Alternative Factorio Friday Fan Facts, also known as Alt-F4
awesome-made-by-brazilians
?? A collection of amazing open source projects built by brazilian developers
zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
cxx
Safe interop between Rust and C++
lireddit

chakra-ui
⚡️ Simple, Modular & Accessible UI Components for your React Applications
VancedManager
Vanced Installer
react-native-video
A
NYPD-Misconduct-Complaint-Database
This database is a record of NYPD misconduct complaints made by the public to the Civilian Complaint Review Board (CCRB).
awesome-django
A curated list of awesome things related to Django
Front-End-Checklist
? The perfect Front-End Checklist for modern websites and meticulous developers
fet.sh
a fetch written in posix shell without any external commands (linux only)
baiduwp
PanDownload Web, built with CloudFlare Workers
machine-learning-interview
Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
RSSHub
? Everything is RSSible
metamask-extension
? ? The MetaMask browser extension enables browsing Ethereum blockchain enabled websites
amplify-flutter
Amplify Framework provides a declarative and easy-to-use interface across different categories of cloud operations.
ent
An entity framework for Go
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
element3
(WIP)fork from ElemeFE/element ,A Vue.js 3.0 UI Toolkit for Web
posthog
? PostHog is developer-friendly, open-source product analytics.
awesome-hpp
A curated list of awesome header-only C++ libraries
fabric
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use
insight
Repository for Project Insight: NLP as a Service
omatsuri
Browser application with 9 open source frontend focused tools
InfoSpider
INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱?,旨在安全快捷的帮助用户拿回自己的数据,工具代码开源,流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源
element-plus
A Vue.js 3.0 UI Toolkit for Web
autoscaler
Autoscaling components for Kubernetes
magento2
All Submissions you make to Magento Inc. ("Magento") through GitHub are subject to the following terms and conditions: (1) You grant Magento a perpetual, worldwide, non-exclusive, no charge, royalty f
ts-migrate
A tool to help migrate JavaScript code quickly and conveniently to TypeScript
ar-cutpaste
Cut and paste your surroundings using AR
chinese-programmer-wrong-pronunciation
中国程序员容易发音错误的单词
labs_campaigns

AdGuardHome
Network-wide ads & trackers blocking DNS server
COLA
Clean Object-oriented & Layered Architecture
Godzilla
哥斯拉
diagrams
? Diagram as Code for prototyping cloud system architectures
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
handcalcs
Python library for converting Python calculations into rendered latex.
mern-course-bootcamp
Complete Free Coding Bootcamp 2020 MERN Stack
handwritten.js
Convert typed text to realistic handwriting!
archivy
Archivy is a self-hosted knowledge repository that allows you to safely preserve useful content that contributes to your knowledge bank.
mall-swarm
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jax

Python LINK
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
logo

JAX: Autograd and XLA Continuous integration

Quickstart | Transformations | Install guide | Change logs | Reference docs | Code search

Announcement: JAX has dropped Python 2 support, and requires Python 3.6 or newer. See docs/CHANGELOG.rst.

What is JAX?

JAX is Autograd and XLA, brought together for high-performance machine learning research.

With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order.

What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. Compilation happens under the hood by default, with library calls getting just-in-time compiled and executed. But JAX also lets you just-in-time compile your own Python functions into XLA-optimized kernels using a one-function API, jit. Compilation and automatic differentiation can be composed arbitrarily, so you can express sophisticated algorithms and get maximal performance without leaving Python. You can even program multiple GPUs or TPU cores at once using pmap, and differentiate through the whole thing.

Dig a little deeper, and you'll see that JAX is really an extensible system for composable function transformations. Both grad and jit are instances of such transformations. Others are vmap for automatic vectorization and pmap for single-program multiple-data (SPMD) parallel programming of multiple accelerators, with more to come.

This is a research project, not an official Google product. Expect bugs and sharp edges. Please help by trying it out, reporting bugs, and letting us know what you think!

import jax.numpy as np
from jax import grad, jit, vmap

def predict(params, inputs):
  for W, b in params:
    outputs = np.dot(inputs, W) + b
    inputs = np.tanh(outputs)
  return outputs

def logprob_fun(params, inputs, targets):
  preds = predict(params, inputs)
  return np.sum((preds - targets)**2)

grad_fun = jit(grad(logprob_fun))  # compiled gradient evaluation function
perex_grads = jit(vmap(grad_fun, in_axes=(None, 0, 0)))  # fast per-example grads

Contents

Quickstart: Colab in the Cloud

Jump right in using a notebook in your browser, connected to a Google Cloud GPU. Here are some starter notebooks:

JAX now runs on Cloud TPUs. To try out the preview, see the Cloud TPU Colabs.

For a deeper dive into JAX:

You can also take a look at the mini-libraries in jax.experimental, like stax for building neural networks and optimizers for first-order stochastic optimization, or the examples.

Transformations

At its core, JAX is an extensible system for transforming numerical functions. Here are four of primary interest: grad, jit, vmap, and pmap.

Automatic differentiation with grad

JAX has roughly the same API as Autograd. The most popular function is grad for reverse-mode gradients:

from jax import grad
import jax.numpy as np

def tanh(x):  # Define a function
  y = np.exp(-2.0 * x)
  return (1.0 - y) / (1.0 + y)

grad_tanh = grad(tanh)  # Obtain its gradient function
print(grad_tanh(1.0))   # Evaluate it at x = 1.0
# prints 0.4199743

You can differentiate to any order with grad.

print(grad(grad(grad(tanh)))(1.0))
# prints 0.62162673

For more advanced autodiff, you can use jax.vjp for reverse-mode vector-Jacobian products and jax.jvp for forward-mode Jacobian-vector products. The two can be composed arbitrarily with one another, and with other JAX transformations. Here's one way to compose those to make a function that efficiently computes full Hessian matrices:

from jax import jit, jacfwd, jacrev

def hessian(fun):
  return jit(jacfwd(jacrev(fun)))

As with Autograd, you're free to use differentiation with Python control structures:

def abs_val(x):
  if x > 0:
    return x
  else:
    return -x

abs_val_grad = grad(abs_val)
print(abs_val_grad(1.0))   # prints 1.0
print(abs_val_grad(-1.0))  # prints -1.0 (abs_val is re-evaluated)

See the reference docs on automatic differentiation and the JAX Autodiff Cookbook for more.

Compilation with jit

You can use XLA to compile your functions end-to-end with jit, used either as an @jit decorator or as a higher-order function.

import jax.numpy as np
from jax import jit

def slow_f(x):
  # Element-wise ops see a large benefit from fusion
  return x * x + x * 2.0

x = np.ones((5000, 5000))
fast_f = jit(slow_f)
%timeit -n10 -r3 fast_f(x)  # ~ 4.5 ms / loop on Titan X
%timeit -n10 -r3 slow_f(x)  # ~ 14.5 ms / loop (also on GPU via JAX)

You can mix jit and grad and any other JAX transformation however you like.

Using jit puts constraints on the kind of Python control flow the function can use; see the Gotchas Notebook for more.

Auto-vectorization with vmap

vmap is the vectorizing map. It has the familiar semantics of mapping a function along array axes, but instead of keeping the loop on the outside, it pushes the loop down into a function’s primitive operations for better performance.

Using vmap can save you from having to carry around batch dimensions in your code. For example, consider this simple unbatched neural network prediction function:

def predict(params, input_vec):
  assert input_vec.ndim == 1
  for W, b in params:
    output_vec = np.dot(W, input_vec) + b  # `input_vec` on the right-hand side!
    input_vec = np.tanh(output_vec)
  return output_vec

We often instead write np.dot(inputs, W) to allow for a batch dimension on the left side of inputs, but we’ve written this particular prediction function to apply only to single input vectors. If we wanted to apply this function to a batch of inputs at once, semantically we could just write

from functools import partial
predictions = np.stack(list(map(partial(predict, params), input_batch)))

But pushing one example through the network at a time would be slow! It’s better to vectorize the computation, so that at every layer we’re doing matrix-matrix multiplies rather than matrix-vector multiplies.

The vmap function does that transformation for us. That is, if we write

from jax import vmap
predictions = vmap(partial(predict, params))(input_batch)
# or, alternatively
predictions = vmap(predict, in_axes=(None, 0))(params, input_batch)

then the vmap function will push the outer loop inside the function, and our machine will end up executing matrix-matrix multiplications exactly as if we’d done the batching by hand.

It’s easy enough to manually batch a simple neural network without vmap, but in other cases manual vectorization can be impractical or impossible. Take the problem of efficiently computing per-example gradients: that is, for a fixed set of parameters, we want to compute the gradient of our loss function evaluated separately at each example in a batch. With vmap, it’s easy:

per_example_gradients = vmap(partial(grad(loss), params))(inputs, targets)

Of course, vmap can be arbitrarily composed with jit, grad, and any other JAX transformation! We use vmap with both forward- and reverse-mode automatic differentiation for fast Jacobian and Hessian matrix calculations in jax.jacfwd, jax.jacrev, and jax.hessian.

SPMD programming with pmap

For parallel programming of multiple accelerators, like multiple GPUs, use pmap. With pmap you write single-program multiple-data (SPMD) programs, including fast parallel collective communication operations. Applying pmap will mean that the function you write is compiled by XLA (similarly to jit), then replicated and executed in parallel across devices.

Here's an example on an 8-GPU machine:

from jax import random, pmap
import jax.numpy as np

# Create 8 random 5000 x 6000 matrices, one per GPU
keys = random.split(random.PRNGKey(0), 8)
mats = pmap(lambda key: random.normal(key, (5000, 6000)))(keys)

# Run a local matmul on each device in parallel (no data transfer)
result = pmap(lambda x: np.dot(x, x.T))(mats)  # result.shape is (8, 5000, 5000)

# Compute the mean on each device in parallel and print the result
print(pmap(np.mean)(result))
# prints [1.1566595 1.1805978 ... 1.2321935 1.2015157]

In addition to expressing pure maps, you can use fast collective communication operations between devices:

from functools import partial
from jax import lax

@partial(pmap, axis_name='i')
def normalize(x):
  return x / lax.psum(x, 'i')

print(normalize(np.arange(4.)))
# prints [0.         0.16666667 0.33333334 0.5       ]

You can even nest pmap functions for more sophisticated communication patterns.

It all composes, so you're free to differentiate through parallel computations:

from jax import grad

@pmap
def f(x):
  y = np.sin(x)
  @pmap
  def g(z):
    return np.cos(z) * np.tan(y.sum()) * np.tanh(x).sum()
  return grad(lambda w: np.sum(g(w)))(x)

print(f(x))
# [[ 0.        , -0.7170853 ],
#  [-3.1085174 , -0.4824318 ],
#  [10.366636  , 13.135289  ],
#  [ 0.22163185, -0.52112055]]

print(grad(lambda x: np.sum(f(x)))(x))
# [[ -3.2369726,  -1.6356447],
#  [  4.7572474,  11.606951 ],
#  [-98.524414 ,  42.76499  ],
#  [ -1.6007166,  -1.2568436]]

When reverse-mode differentiating a pmap function (e.g. with grad), the backward pass of the computation is parallelized just like the forward pass.

See the SPMD Cookbook and the SPMD MNIST classifier from scratch example for more.

Current gotchas

For a more thorough survey of current gotchas, with examples and explanations, we highly recommend reading the Gotchas Notebook. Some standouts:

  1. JAX transformations only work on pure functions, which don't have side-effects and respect referential transparency (i.e. object identity testing with is isn't preserved). If you use a JAX transformation on an impure Python function, you might see an error like Exception: Can't lift Traced... or Exception: Different traces at same level.
  2. In-place mutating updates of arrays, like x[i] += y, aren't supported, but there are functional alternatives. Under a jit, those functional alternatives will reuse buffers in-place automatically.
  3. Random numbers are different, but for good reasons.
  4. If you're looking for convolution operators, they're in the jax.lax package.
  5. JAX enforces single-precision (32-bit, e.g. float32) values by default, and to enable double-precision (64-bit, e.g. float64) one needs to set the jax_enable_x64 variable at startup (or set the environment variable JAX_ENABLE_X64=True).
  6. Some of NumPy's dtype promotion semantics involving a mix of Python scalars and NumPy types aren't preserved, namely np.add(1, np.array([2], np.float32)).dtype is float64 rather than float32.
  7. Some transformations, like jit, constrain how you can use Python control flow. You'll always get loud errors if something goes wrong. You might have to use jit's static_argnums parameter, structured control flow primitives like lax.scan, or just use jit on smaller subfunctions.

Installation

JAX is written in pure Python, but it depends on XLA, which needs to be installed as the jaxlib package. Use the following instructions to install a binary package with pip, or to build JAX from source.

We support installing or building jaxlib on Linux (Ubuntu 16.04 or later) and macOS (10.12 or later) platforms. Windows users can use JAX on CPU via the Windows Subsystem for Linux. We're not currently working on native Windows support, but contributions are welcome (see #438).

pip installation

To install a CPU-only version, which might be useful for doing local development on a laptop, you can run

pip install --upgrade pip
pip install --upgrade jax jaxlib  # CPU-only version

On Linux, it is often necessary to first update pip to a version that supports manylinux2010 wheels.

If you want to install JAX with both CPU and GPU support, using existing CUDA and CUDNN7 installations on your machine (for example, preinstalled on your cloud VM), you can run

# install jaxlib
PYTHON_VERSION=cp37  # alternatives: cp36, cp37, cp38
CUDA_VERSION=cuda92  # alternatives: cuda92, cuda100, cuda101, cuda102
PLATFORM=linux_x86_64  # alternatives: linux_x86_64
BASE_URL='https://storage.googleapis.com/jax-releases'
pip install --upgrade $BASE_URL/$CUDA_VERSION/jaxlib-0.1.48-$PYTHON_VERSION-none-$PLATFORM.whl

pip install --upgrade jax  # install jax

The library package name must correspond to the version of the existing CUDA installation you want to use, with cuda102 for CUDA 10.2, cuda101 for CUDA 10.1, cuda100 for CUDA 10.0, and cuda92 for CUDA 9.2. To find your CUDA and CUDNN versions, you can run commands like these, depending on your CUDNN install path:

nvcc --version
grep CUDNN_MAJOR -A 2 /usr/local/cuda/include/cudnn.h  # might need different path

Note that some GPU functionality expects the CUDA installation to be at /usr/local/cuda-X.X, where X.X should be replaced with the CUDA version number (e.g. cuda-10.2). If CUDA is installed elsewhere on your system, you can either create a symlink:

sudo ln -s /path/to/cuda /usr/local/cuda-X.X

Or set the following environment variable before importing JAX:

XLA_FLAGS=--xla_gpu_cuda_data_dir=/path/to/cuda

The Python version must match your Python interpreter. There are prebuilt wheels for Python 3.6, 3.7, and 3.8; for anything else, you must build from source. Jax requires Python 3.6 or above. Jax does not support Python 2 any more.

To try automatic detection of the correct version for your system, you can run:

pip install --upgrade https://storage.googleapis.com/jax-releases/`nvidia-smi | sed -En "s/.* CUDA Version: ([0-9]*)\.([0-9]*).*/cuda\1\2/p"`/jaxlib-0.1.48-`python3 -V | sed -En "s/Python ([0-9]*)\.([0-9]*).*/cp\1\2/p"`-none-linux_x86_64.whl jax

Please let us know on the issue tracker if you run into any errors or problems with the prebuilt wheels.

Building JAX from source

See Building JAX from source.

Citing JAX

To cite this repository:

@software{jax2018github,
  author = {James Bradbury and Roy Frostig and Peter Hawkins and Matthew James Johnson and Chris Leary and Dougal Maclaurin and Skye Wanderman-Milne},
  title = {{JAX}: composable transformations of {P}ython+{N}um{P}y programs},
  url = {http://github.com/google/jax},
  version = {0.1.55},
  year = {2018},
}

In the above bibtex entry, names are in alphabetical order, the version number is intended to be that from jax/version.py, and the year corresponds to the project's open-source release.

A nascent version of JAX, supporting only automatic differentiation and compilation to XLA, was described in a paper that appeared at SysML 2018. We're currently working on covering JAX's ideas and capabilities in a more comprehensive and up-to-date paper.

Reference documentation

For details about the JAX API, see the reference documentation.

For getting started as a JAX developer, see the developer documentation.