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OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Tensorforce: a TensorFlow library for applied reinforcement learning
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.
Suite of motion imitation methods for training motion controllers.
[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
Quadratic programming solvers in Python with a unified API
Convolutional Neural Networks for Denoising Gyroscopes of Low-Cost IMUs
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dy…
Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)
A Python binding for the StackExchange API
Differentiable Factor Graph Optimization @ IROS 2021
Probabilistic Contact State Estimation for Legged Robots in ROS
Repository for "Fitting a Kalman Smoother to Data"
A Python binding for the StackExchange API