Stars
A list of Offline to Online RL papers (continually updated)
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
hand importer and dataset creation tool for poker
The official Python library for the OpenAI API
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Robust Speech Recognition via Large-Scale Weak Supervision
Example notebooks for Reverse Engineering the Neural Tangent Kernel
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)
🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch dataset extended with map, cache etc. (tensorflow.data like)
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Fast symbolic computation, code generation, and nonlinear optimization for robotics
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Rich Image Visualization with Minimum Dependency (no OpenCV, Matplotlib)
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World
Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data
Tasks to get you started with MineRL
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
An offline deep reinforcement learning library
Collection of reinforcement learning algorithms
Massively parallel rigidbody physics simulation on accelerator hardware.
A PyTorch implementation of Implicit Q-Learning