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automan's Projects

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

go icon go

The Go programming language

go-ethereum icon go-ethereum

Official Go implementation of the Ethereum protocol

graphql-engine icon graphql-engine

Blazing fast, instant realtime GraphQL APIs on Postgres with fine grained access control, also trigger webhooks on database events.

greenlight icon greenlight

A really simple end-user interface for your BigBlueButton server.

hali icon hali

Hali is an open source, lightweight and modern JavaScript utility to evaluate XPath expressions built on top of TypeScript.

hub icon hub

A command-line tool that makes git easier to use with GitHub.

hyper icon hyper

A terminal built on web technologies

ice icon ice

🚀Make Front-end development simple and friendly（让前端开发简单而友好 ）

javaguide icon javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

jobberbase icon jobberbase

Jobberbase is open-source job board software http://www.jobberbase.com

kuroko2 icon kuroko2

Kuroko2 is a web-based job scheduler / workflow engine.

layoutcast icon layoutcast

Cast android code and resource changes to the running application through ADB.

leetcode icon leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

life-invader icon life-invader

Ruby on Rails Facebook clone, named after GTA V's social network parody LifeInvader

livecode-svganimation icon livecode-svganimation

In my Smashing Toronto talk, I'll be live coding an SVG animation from start to finish. Here's the repo that houses the base materials, and any further references for things we don't have time to cover.

localstack icon localstack

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!

lottie icon lottie

Lottie documentation for http://airbnb.io/lottie

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

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