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ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

async-rl

Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cchess-zero

AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目，实现**象棋。

challengecup

挑战杯项目源码

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

drl_binpacking

3D bin packing is a classical and challenging combinatorial optimization problem in logistics and production systems. An effective bin packing algorithm means the reduction of total packing cost and increase in utilization of resources. Because the cost of packing materials, which is mainly determined by their surface area, occupies the most part of packing cost, and in many real business scenarios there is no bin with fixed size, so AI Department of Cainiao proposed a new type of 3D bin packing problem. The objective of this new type of 3D bin packing problem is to pack all items into a bin with minimized surface area. And a DRL method based on the sequence-to-sequence model is proposed to solve the problem. This is the research paper link: https://arxiv.org/abs/1708.05930. Source code of this method can be found in the project.

ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

genpac

PAC/Dnsmasq/Wingy file Generator, working with gfwlist, support custom rules.

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

graphnn

Training computational graph on top of structured data (string, graph, etc)

graphwavemachine

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

itchat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。

keras

Deep Learning for humans

keras-data-generator

Template for data generator in Keras

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

michi

Minimalistic Go MCTS Engine

new-pac

onlinebookstore

pytorch-template

PyTorch deep learning projects made easy.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_structure2vec

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

qv2ray

:star: Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 :star:

reversi-alpha-zero

Reversi reinforcement learning by AlphaGo Zero methods.

rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

rr.opt.mcts

Basic implementation of Monte Carlo tree search (UCT) in Python