A collection of tools for conducting deep reinforcement learning experiments

hierarchical deep reinforcement learning algorithms

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

TensorFlow tutorial on Generative Adversarial Models

Adversarial networks in TensorFlow

Python implementation of tabular asynchronous actor critic

Topics Course on Deep Learning UC Berkeley

Some examples for the use of boost::python

code for Structured Variational Autoencoders

CS231n Project for Winter 2016

Some Reinforcement Learning in Python

Theano-based implementation of Deep Q-learning

Social signal processing scripts for extracting features and predicting decisions

learning to play atari games with reinforcement learning

Learn how to train your own OpenCV Haar classifier