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Converting Onshape assembly to robot definition (URDF, SDF, MuJoCo) through Onshape API
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
Template-based implementation of RANSAC and its variants in C++
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Minimal solvers for calibrated camera pose estimation
We write your reusable computer vision tools. 💜
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…
Official Repo for Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
An overview of different quaternion implementations and their chosen order: x-y-z-w or w-x-y-z?
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The first behavioral foundation model to control a virtual physics-based humanoid agent for a wide range of whole-body tasks.
CoTracker is a model for tracking any point (pixel) on a video.
DSPy: The framework for programming—not prompting—language models
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
Motion imitation with deep reinforcement learning.
Clean PyTorch implementations of imitation and reward learning algorithms
Code for the paper "Generative Adversarial Imitation Learning"