Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Virtual ML.NET 2021 Hackathon Submission

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

Control Unity from Python

Fast KDTree for Unity, with thread-safe querying.

Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

High throughput asynchronous reinforcement learning

Communicating with godot engine through shared memory

COVID-19 Detector from x-rays using Computer Vision and Deep Learning

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Learning to Paint with Model-based Deep Reinforcement Learning

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

C++ based toolbox for the SUNCG dataset

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

PyTorch implementations of Generative Adversarial Networks.

Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs

This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube