jachiam

zero_sum

An analysis library for zero-sum games, written in Rust

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

psketch

Modular multitask reinforcement learning with policy sketches

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

phillip

The SSBM "Phillip" AI.

Synkhronos

Extension to Theano for multi-GPU data parallelism

takrating

Code used for calculating ratings based on games played on playtak.com.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

awesome-tensorflow

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

data

Data and code behind the articles and graphics at FiveThirtyEight

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

nips2016

Learning What and Where to Draw

dfa-torch

Training neural networks with back-prop, feedback-alignment and direct feedback-alignment

recurrentshop

Framework for building complex recurrent neural networks with Keras

Neural-Photo-Editor

A simple interface for editing natural photos with generative neural networks.

dni-synthetic-gradients

Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

mxasyn

Asynchronous One Step Q Learning implemented with MXNET

Tensorflow-MultiGPU-VAE-GAN

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

SkipCTS

Skip Context Tree Switching - Reference Implementation

ntm-lasagne

Neural Turing Machines library in Theano with Lasagne

KerasGAN

A couple of simple GANs in Keras

srez

Image super-resolution through deep learning

NAF-tensorflow

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

gymexperiments

vime

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning