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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Collection of Deep Reinforcement Learning algorithms

Cecil is a library to generate and inspect .NET programs and libraries.

Scripts to analyze Spark's performance

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

Linux kernel source tree

A parser for Google Scholar, written in Python

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.

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

Sparrow scheduling platform (U.C. Berkeley).