TorchCFM: a Conditional Flow Matching library

Stable diffusion for real-time music generation

A library of reinforcement learning components and agents

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A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Deep Planning Network: Control from pixels by latent planning with learned dynamics

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

Simple and easily configurable grid world environments for reinforcement learning

Author's PyTorch implementation of TD3 for OpenAI gym tasks

Code release for Learning with Opponent-Learning Awareness and variations.

computational origami library

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.

Code for the Lovász-Softmax loss (CVPR 2018)

Magenta: Music and Art Generation with Machine Intelligence

An implementation of the Augmented Random Search algorithm

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

Pytorch implementation of Hinton's Dynamic Routing Between Capsules

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

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 pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

Learning embeddings for classification, retrieval and ranking.

a fast BASH multiple-image downloader

A working implementation of the Categorical DQN (Distributional RL).

Noisy Networks for Exploration

Implement A3C for Mujoco gym envs

Reinforcement learning environments with musculoskeletal models

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