Command-line program to download videos from YouTube.com and other video sites

A toolkit for developing and comparing reinforcement learning algorithms.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Image-to-Image Translation in PyTorch

Magenta: Music and Art Generation with Machine Intelligence

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Keras implementations of Generative Adversarial Networks.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Uniform Manifold Approximation and Projection

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

Setup and customize deep learning environment in seconds.

Domain-driven e-commerce for Django

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Deep Reinforcement Learning for Keras.

Graph Convolutional Networks in PyTorch

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Sequence modeling benchmarks and temporal convolutional networks

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A highly efficient implementation of Gaussian Processes in PyTorch

Check out the new game server:

Sequence to Sequence Learning with Keras

TensorFlow Reinforcement Learning

Neural network visualization toolkit for keras

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

Neural Network Libraries

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

Code for reproducing experiments in "Improved Training of Wasserstein GANs"