Stars
A playbook for systematically maximizing the performance of deep learning models.
An elegant PyTorch deep reinforcement learning library.
A beautiful, simple, clean, and responsive Jekyll theme for academics
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Bullet simulation for SoftBank Robotics robots
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
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 framework for experimenting with never-ending learning
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Collection of less popular features and tricks for the Python programming language
Codebase for CS 393R: Autonomous Robotics at UT Austin.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A list of recent papers regarding deep reinforcement learning
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
A group of utilities useful for members of UTCS.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
An intuitive library to add plotting functionality to scikit-learn objects.
Mixed Incremental Cross-Entropy REINFORCE ICLR 2016
Models and examples built with TensorFlow