Caffe: a fast open framework for deep learning.

Official inference repo for FLUX.1 models

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

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 …

Open3D: A Modern Library for 3D Data Processing

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Multi-Joint dynamics with Contact. A general purpose physics simulator.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Universal Scene Description

OpenMMLab's next-generation platform for general 3D object detection.

Unified framework for robot learning built on NVIDIA Isaac Sim

OpenVLA: An open-source vision-language-action model for robotic manipulation.

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

CUDA accelerated rasterization of gaussian splatting

Semantic Segmentation Architectures Implemented in PyTorch

A flexible, high-performance 3D simulator for Embodied AI research.

Isaac Gym Reinforcement Learning Environments

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

code for Holistically-Nested Edge Detection

NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.

A fast and simple implementation of RL algorithms, designed to run fully on GPU.

Clean PyTorch implementations of imitation and reward learning algorithms

A large-scale benchmark and learning environment.

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Official implementation of the SIGGRAPH 2024 paper "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets"

[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"