Official inference repo for FLUX.1 models

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

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

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

Unified framework for robot learning built on NVIDIA Isaac Sim

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

CUDA accelerated rasterization of gaussian splatting

Semantic Segmentation Architectures Implemented in PyTorch

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

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

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

A fast and simple implementation of learning algorithms for robotics.

A large-scale benchmark and learning environment.

Clean PyTorch implementations of imitation and reward learning algorithms

BEHAVIOR-1K: a platform for accelerating Embodied AI research. Join our Discord for support: https://discord.gg/bccR5vGFEx

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"

Sim-to-real RL training and deployment tools for the Unitree Go1 robot.

Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)

Unofficial ROS2 SDK support for Unitree GO2 AIR/PRO/EDU

Code for Text2Human (SIGGRAPH 2022). Paper: Text2Human: Text-Driven Controllable Human Image Generation

Official code release for ConceptGraphs

Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.

A tool to run docker containers with overlays and convenient options for things like GUIs etc.

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

[ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset