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adversarialnetspapers

The classical papers and codes about generative adversarial nets

aistartups

Startups about artificial intelligence. (DM, ML, NLP, CV...)

alphago-presentation

The presentation for the Spring School of Combinatorics 2016 on the paper "Mastering the Game of Go with Deep Neural Networks and Tree Search" by Google DeepMind

betago

BetaGo: AlphaGo for the masses, live on github.

deep_q_rl

Theano-based implementation of Deep Q-learning

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepnetzoo_with_tensorflow

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

fast-weights

Implementation of Using Fast Weights to Attend to the Recent Past

fast-weights-1

Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)

go.py

A text-based go game written in python

gobang

A very simple yet serious gobang game AI based on Monte-Carlo Tree Search and implemented in pure Python

gobang-skywind

Gobang game with artificial intelligence in 900 Lines !!

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

learn_tensorflow_by_mnist

machine_learning_rss

机器学习小火车##优质机器学习全文RSS##☺啊！ 来不及了，快上车！

magenta

Magenta: Music and Art Generation with Machine Intelligence

mcts

Monte Carlo Tree Search (MCTS), realized with Python

michi

Minimalistic Go MCTS Engine

michi-go

Michi-Go --- Michi (Minimalistic Go MCTS Engine) recoded in Go

mugo

Replicating AlphaGo's architecture in a readable manner

omego

yet another alphago replication

pypanda

a robot go-game (weiqi) training partner

pytorch-tutorial

Build your neural network easy and fast

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

renju-ai

a Renju game, replicate paper "Mastering the game of Go with deep neural networks and tree search"

replicating-deepmind

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.