ShibiHe

Model-Free-Episodic-Control

This is the implementation of paper Model Free Episodic Control

Q-Optimality-Tightening

This is my implementation of the Optimality Tightening

Stanford-CS231n-assignments

The assignments of CS231n finished by me

Poker-Fictitious-Play

Fictitious Self-play & Reinforcement Learning

Active_learning_version1

DoubanMovieSearch

DQN_OpenAI_keras

This is the DQN implementation written by myself using OpenAI gym and keras.

Machine_learning_Deng_Cai

Deng Cai's ML course

Machine-Learning-Classifying-Emails-into-Spams-and-Hams

Naive Bayes and Logistic Regression

deep_q_rl

Theano-based implementation of Deep Q-learning

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

dqn-multigpus

async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

atfm_bpr

Bayesian Personalized Ranking Model with Attribute-to-Feature Mappings for Cold-Start Recommendation

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cvpr2015

DeepMind-Atari-Deep-Q-Learner

The original code from the DeepMind article + my tweaks

dqn

This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

MixMHC

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

paper-notes

Some notes of papers I have read

Readings

ShibiHe.github.io

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

tensorflow

Computation using data flow graphs for scalable machine learning

webgl-lessons

https://github.com/tparisi/webgl-lessons is now the officially maintained fork for this project

WeDream-android