cbfinn

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

gps

Guided Policy Search

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

models

Models built with TensorFlow

caffe

Caffe: a Fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

bair_camp

nips17-dl-workshop-website

Website of the NIPS 2017 workshop: "Deep Learning: Bridging Theory and Practice"

gym

A toolkit for developing and comparing reinforcement learning algorithms.

PyGame-Learning-Environment

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pixel-cnn

Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

bulletsim

Simulation environment with Bullet physics

gym-ple

This package allows to use PLE as a gym environment.

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

Recipes

Lasagne recipes: examples, IPython notebooks, ...

cs280report

Final Project Report for CS280

dotfiles

bash, zsh, git, tmux, personal toolbox

gtsrb.torch

Traffic sign recognition with Torch

Lasagne

Lightweight library to build and train neural networks in Theano

ray

An experimental distributed execution engine

rutabaga

aloha

bcz-videos