HYSEN LABS DIRECTORY

NVIDIA

Verified repositories, classifications and analysis from the NVIDIA organization.

71 curated open-source projects
NVIDIA

NemoClaw

★ 23,018

Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference.

TypeScriptAI & Machine Learning3,213 forks5 min read
NVIDIA

OpenShell

★ 21,580

OpenShell is the safe, private runtime for autonomous AI agents.

Rust2,104 forks5 min read
★ 15,073

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. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

Python2,932 forks6 min read
NVIDIA

TensorRT

★ 13,455

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

C++2,424 forks6 min read
NVIDIA

cosmos

★ 12,361

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

Jupyter Notebook961 forks6 min read
NVIDIA

cutlass

★ 10,730

CUDA Templates and Python DSLs for High-Performance Linear Algebra

C++2,183 forks6 min read
NVIDIA

garak

★ 10,012

the LLM vulnerability scanner

Python1,469 forks7 min read
★ 9,768

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

C++2,450 forks7 min read
NVIDIA

apex

★ 9,006

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Python1,533 forks5 min read
★ 8,371

NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.

Python1,535 forks6 min read
NVIDIA

DALI

★ 5,795

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

C++690 forks5 min read
★ 5,600

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

PythonAI & Machine Learning807 forks5 min read
NVIDIA

cuml

★ 5,322

NVIDIA cuML: GPU-Accelerated Machine Learning

Python688 forks6 min read
NVIDIA

nccl

★ 5,231

Optimized primitives for collective multi-GPU communication

C++1,486 forks7 min read
★ 4,230

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Jupyter Notebook1,101 forks4 min read
NVIDIA

skills

★ 3,970

Project brief: Agent Skills for NVIDIA products, install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. Skill Catalog Product | Description | Skills | AIQ | NVIDIA AI-Q Blueprint - deploy local AI-Q services and run shallow or deep research workflows as agent skills.

Python521 forks4 min read