41 tracked repositories
Showcase your total open-source impact. This SVG badge updates automatically as our continuous crawler records new stars.
[](https://githubrepo.cloud/developers/NVIDIA)Sorted by stars
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
OpenShell is the safe, private runtime for autonomous AI agents.
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
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.
NVIDIA cuML: GPU-Accelerated Machine Learning
Build and run containers leveraging NVIDIA GPUs
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.
NVIDIA device plugin for Kubernetes
NVIDIA's CUDA platform for Rust. Host runtime crates plus Tile (cutile-rs) and SIMT (cuda-oxide) kernel programming models in idiomatic Rust.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
`std::execution`, the standard C++ framework for asynchronous and parallel programming.
AIStore: scalable storage for AI applications
Router that virtually distributes inference across connected devices in the home.
An efficient C++20 GPU numerical computing library with Python-like syntax
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
NVIDIA Federated Learning Application Runtime Environment
cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.
A tool for bandwidth measurements on NVIDIA GPUs.
Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes
Foundation Models for Structured Data
Shared capture infrastructure for teleoperation and egocentric data.
NVSentinel detects and remediates GPU faults on Kubernetes nodes
Nsight Python is a Python kernel profiling interface based on NVIDIA Nsight Tools
Cosmos Curator is a toolkit for curating physical AI training data.
From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible user experience.
Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.
NeMo-Speech.cpp is a lightweight C++ inference runtime for Speech models
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.
Accelerated libraries for quantum-classical computing built on CUDA-Q.
A set of training recipes for AI Quantum Error Correction Decoders