Submitted by yiyu in Tech

developedbyed/glass-website

streamich/react-use

React Hooks — 👍

fireeye/Mandiant-Azure-AD-Investigator

softchris/react-book

Book covering fundamentals on React

Marak/faker.js

generate massive amounts of realistic fake data in Node.js and the browser

encode/django-rest-framework

Web APIs for Django. 🎸

cypress-io/cypress

Fast, easy and reliable testing for anything that runs in a browser.

fontworks-fonts/Train

google/tf-quant-finance

High-performance TensorFlow library for quantitative finance.

Chen-Cai-OSU/awesome-equivariant-network

Paper list for equivariant neural network

EleutherAI/gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

tomlooman/ActionRoguelike

Third-person Action Roguelike made in Unreal Engine C++ (for Stanford CS193U 2020)

microsoft/reverse-proxy

A toolkit for developing high-performance HTTP reverse proxy applications.

Azure/azure-rest-api-specs

The source for REST API specifications for Microsoft Azure.

twbs/bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

wesbos/JavaScript30

30 Day Vanilla JS Challenge

azat-io/you-dont-know-js-ru

📚 Russian translation of "You Don't Know JS" book series

gruntwork-io/terratest

Terratest is a Go library that makes it easier to write automated tests for your infrastructure code.

YTVanced/VancedManager

Vanced Installer

shylocks/Loon

Viralmaniar/BigBountyRecon

BigBountyRecon tool utilises 58 different techniques using various Google dorks and open source tools to expedite the process of initial reconnaissance on the target organisation.

laravel/framework

storybookjs/storybook

📓 The UI component explorer. Develop, document, & test for React, Vue, Angular, Ember, Web Components, & more!

strapi/strapi

🚀 Open source Node.js Headless CMS to easily build customisable APIs

scutan90/DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

1

Comments

You must log in or register to comment.

There's nothing here…