haiy Goto Github PK

ai-serving

simple machine learning and deep learning models serving framework

all-notebooks

alphago

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

android-ocr

Experimental app for optical character recognition on Android.

apijson

🚀 零代码、热更新、全自动 ORM 库，后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构。 🚀 A JSON Transmission Protocol and an ORM Library for automatically providing APIs and Docs.

autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

blog

book

cayman

Cayman is a Jekyll theme for GitHub Pages

christopherpoole.github.com

github:pages blog for Christopher Poole

cs231n.github.io

Public facing notes page

deep-anpr

Using neural networks to build an automatic number plate recognition system

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dist_tf_train

distribute tensorflow framework template

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

dmcmd

docsify

🃏 A magical documentation site generator.

example

Simple GitBook example

faceswap

Deepfakes Software For All

fedlearner

A multi-party collaborative machine learning framework

financial

投资理财 - 专注于智能算法投资

gitalk

Gitalk is a modern comment component based on Github Issue and Preact.

github-markdown-toc

Easy TOC creation for GitHub README.md

gitignore

A collection of useful .gitignore templates

haiy

haiy.github.io

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

hbase

Mirror of Apache HBase

hifi3dface

Code and data for our paper "High-Fidelity 3D Digital Human Creation from RGB-D Selfies".