NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

eBPF Runtime Reporter and Profiler

The unified framework for sim & real robot teleoperation

BSP layer for NVIDIA Jetson platforms, based on L4T

A Paper List for Humanoid Robot Learning.

Agent-friendly GPU profile-query CLI

Nyx renderer plugin for Genesis world physics simulation engine.

An easy to use PyTorch to TensorRT converter

An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.

A C++ open source EtherCAT master/slave stack

Open-source, community-driven agent harness

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Simulation platform for general-purpose robotics & embodied AI learning.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

Official OpenOCD Read-Only Mirror (no pull requests)

An extremely fast Python linter and code formatter, written in Rust.

The book "Performance Analysis and Tuning on Modern CPU"

Web-based 3D visualization in Python

A kernel library written in tilelang

FlashMLA: Efficient Multi-head Latent Attention Kernels

[RSS26'] Welcome to Psi-Zero, a Humanoid VLA towards Universal Humanoid Intelligence.

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downs…

A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment…

High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI