Searchable snapshot of public NVIDIA repositories from github.com/NVIDIA. Included repositories have at least 200 stars and a commit within the last three months, since 2026-04-28.
Ranked by recent commits and activity score. The bar compares each repository against the top entry in this table.
| Repository | Language | Description | Cluster | GitHub |
|---|---|---|---|---|
| NVIDIA/SkillSpector | Python | Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks. | AI, LLM & Model Tooling |
★ 13.9k
⑂ 1.1k
⟳ 307
⏱ Jul 27, 2026
|
| NVIDIA/skills | Python | 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. | AI, LLM & Model Tooling |
★ 2.7k
⑂ 313
⟳ 462
⏱ Jul 27, 2026
|
| NVIDIA/cosmos | Jupyter Notebook | 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. | Robotics, Simulation & Edge AI |
★ 11.3k
⑂ 789
⟳ 66
⏱ Jul 24, 2026
|
| NVIDIA/OpenShell | Rust | OpenShell is the safe, private runtime for autonomous AI agents. | AI, LLM & Model Tooling |
★ 7.8k
⑂ 1.1k
⟳ 1.1k
⏱ Jul 28, 2026
|
| NVIDIA/NemoClaw | TypeScript | Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference | AI, LLM & Model Tooling |
★ 22k
⑂ 3k
⟳ 3.6k
⏱ Jul 28, 2026
|
| NVIDIA/Megatron-LM | Python | Ongoing research training transformer models at scale | AI, LLM & Model Tooling |
★ 17.2k
⑂ 4.3k
⟳ 9.3k
⏱ Jul 28, 2026
|
| NVIDIA/garak | Python | the LLM vulnerability scanner | AI, LLM & Model Tooling |
★ 8.6k
⑂ 1.1k
⟳ 4.5k
⏱ Jul 27, 2026
|
| NVIDIA/Model-Optimizer | Python | 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. | AI, LLM & Model Tooling |
★ 3.3k
⑂ 515
⟳ 1.1k
⏱ Jul 28, 2026
|
| NVIDIA/TensorRT-LLM | Python | 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. | AI, LLM & Model Tooling |
★ 14.2k
⑂ 2.6k
⟳ 8.2k
⏱ Jul 28, 2026
|
| NVIDIA/Isaac-GR00T | Python | NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots. | Robotics, Simulation & Edge AI |
★ 7.7k
⑂ 1.4k
⟳ 142
⏱ Jul 22, 2026
|
| NVIDIA/cutlass | C++ | CUDA Templates and Python DSLs for High-Performance Linear Algebra | GPU Computing, CUDA & Systems |
★ 10.1k
⑂ 2k
⟳ 920
⏱ Jul 28, 2026
|
| NVIDIA/dgx-spark-playbooks | Jupyter Notebook | Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture. | AI, LLM & Model Tooling |
★ 1.2k
⑂ 263
⟳ 320
⏱ Jul 27, 2026
|
| NVIDIA/cosmos-framework | Python | Our inference and training framework to run on the Cosmos Models | Robotics, Simulation & Edge AI |
★ 419
⑂ 93
⟳ 83
⏱ Jul 28, 2026
|
| NVIDIA/physicsnemo | Python | Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods | Robotics, Simulation & Edge AI |
★ 3.1k
⑂ 742
⟳ 1.1k
⏱ Jul 27, 2026
|
| NVIDIA/open-gpu-kernel-modules | C | NVIDIA Linux open GPU kernel module source | GPU Computing, CUDA & Systems |
★ 17.2k
⑂ 1.8k
⟳ 94
⏱ Jul 07, 2026
|
| NVIDIA/warp | Python | A Python framework for GPU-accelerated simulation, robotics, and machine learning. | GPU Computing, CUDA & Systems |
★ 6.9k
⑂ 574
⟳ 7.1k
⏱ Jul 28, 2026
|
| NVIDIA/nccl | C++ | Optimized primitives for collective multi-GPU communication | GPU Computing, CUDA & Systems |
★ 4.9k
⑂ 1.4k
⟳ 885
⏱ Jul 27, 2026
|
| NVIDIA/cuda-samples | C++ | Samples for CUDA Developers which demonstrates features in CUDA Toolkit | GPU Computing, CUDA & Systems |
★ 9.4k
⑂ 2.4k
⟳ 536
⏱ May 27, 2026
|
| NVIDIA/NeMo-Agent-Toolkit | Python | The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents. | AI, LLM & Model Tooling |
★ 2.5k
⑂ 717
⟳ 1.4k
⏱ Jul 25, 2026
|
| NVIDIA/accelerated-computing-hub | Jupyter Notebook | NVIDIA curated collection of educational resources related to general purpose GPU programming. | GPU Computing, CUDA & Systems |
★ 1.9k
⑂ 314
⟳ 901
⏱ Jul 27, 2026
|
| NVIDIA/TensorRT | C++ | NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. | AI, LLM & Model Tooling |
★ 13.2k
⑂ 2.4k
⟳ 601
⏱ Jul 07, 2026
|
| NVIDIA/nsight-python | Python | Nsight Python is a Python kernel profiling interface based on NVIDIA Nsight Tools | GPU Computing, CUDA & Systems |
★ 285
⑂ 21
⟳ 107
⏱ Jul 28, 2026
|
| NVIDIA/flashdreams | Python | high-performance inference and serving library for interactive autoregressive video and world models | Graphics, Vision & Media |
★ 428
⑂ 42
⟳ 596
⏱ Jul 27, 2026
|
| NVIDIA/cccl | C++ | CUDA Core Compute Libraries | GPU Computing, CUDA & Systems |
★ 2.4k
⑂ 443
⟳ 14.1k
⏱ Jul 28, 2026
|
| NVIDIA/IsaacTeleop | Python | The unified framework for sim & real robot teleoperation | Robotics, Simulation & Edge AI |
★ 325
⑂ 66
⟳ 658
⏱ Jul 28, 2026
|
Training, inference, LLM serving, model optimization, and applied AI libraries. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/NemoClaw | TypeScript | Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference |
★ 22k
⑂ 3k
⟳ 3.6k
⏱ Jul 28, 2026
|
| NVIDIA/Megatron-LM | Python | Ongoing research training transformer models at scale |
★ 17.2k
⑂ 4.3k
⟳ 9.3k
⏱ Jul 28, 2026
|
| NVIDIA/TensorRT-LLM | Python | 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. |
★ 14.2k
⑂ 2.6k
⟳ 8.2k
⏱ Jul 28, 2026
|
| NVIDIA/SkillSpector | Python | Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks. |
★ 13.9k
⑂ 1.1k
⟳ 307
⏱ Jul 27, 2026
|
| NVIDIA/TensorRT | C++ | NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. |
★ 13.2k
⑂ 2.4k
⟳ 601
⏱ Jul 07, 2026
|
| NVIDIA/apex | Python | A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch |
★ 9k
⑂ 1.5k
⟳ 1.3k
⏱ Jul 27, 2026
|
| NVIDIA/garak | Python | the LLM vulnerability scanner |
★ 8.6k
⑂ 1.1k
⟳ 4.5k
⏱ Jul 27, 2026
|
| NVIDIA/OpenShell | Rust | OpenShell is the safe, private runtime for autonomous AI agents. |
★ 7.8k
⑂ 1.1k
⟳ 1.1k
⏱ Jul 28, 2026
|
| NVIDIA/GenerativeAIExamples | Jupyter Notebook | Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. |
★ 4.1k
⑂ 1.1k
⟳ 362
⏱ May 29, 2026
|
| NVIDIA/TransformerEngine | Python | 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. |
★ 3.5k
⑂ 784
⟳ 2k
⏱ Jul 28, 2026
|
| NVIDIA/Model-Optimizer | Python | 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. |
★ 3.3k
⑂ 515
⟳ 1.1k
⏱ Jul 28, 2026
|
| NVIDIA/NeMo-Retriever | Python | 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. |
★ 3k
⑂ 339
⟳ 1.5k
⏱ Jul 27, 2026
|
| NVIDIA/skills | Python | 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. |
★ 2.7k
⑂ 313
⟳ 462
⏱ Jul 27, 2026
|
| NVIDIA/NeMo-Agent-Toolkit | Python | The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents. |
★ 2.5k
⑂ 717
⟳ 1.4k
⏱ Jul 25, 2026
|
| NVIDIA/trt-samples-for-hackathon-cn | Python | Simple samples for TensorRT programming |
★ 1.7k
⑂ 351
⟳ 266
⏱ Jul 21, 2026
|
| NVIDIA/RULER | Python | This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models? |
★ 1.6k
⑂ 134
⟳ 105
⏱ Jul 22, 2026
|
| NVIDIA/dgx-spark-playbooks | Jupyter Notebook | Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture. |
★ 1.2k
⑂ 263
⟳ 320
⏱ Jul 27, 2026
|
| NVIDIA/kvpress | Python | LLM KV cache compression made easy |
★ 1.1k
⑂ 164
⟳ 119
⏱ Jul 27, 2026
|
| NVIDIA/earth2studio | Python | Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows. |
★ 1.1k
⑂ 235
⟳ 637
⏱ Jul 28, 2026
|
| NVIDIA/torch-harmonics | Jupyter Notebook | Differentiable signal processing on the sphere for PyTorch |
★ 688
⑂ 71
⟳ 621
⏱ Jul 17, 2026
|
| NVIDIA/cuQuantum | Jupyter Notebook | Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples |
★ 494
⑂ 103
⟳ 133
⏱ Jun 29, 2026
|
| NVIDIA/TensorRT-Edge-LLM | Python | High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI |
★ 484
⑂ 94
⟳ 21
⏱ Jul 23, 2026
|
| NVIDIA/NeMo-text-processing | Python | NeMo text processing for ASR and TTS |
★ 484
⑂ 177
⟳ 160
⏱ Jul 27, 2026
|
| NVIDIA/JAX-Toolbox | Python | JAX-Toolbox |
★ 426
⑂ 80
⟳ 1.4k
⏱ Jul 27, 2026
|
| NVIDIA/cuEquivariance | Python | cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural networks. Also includes kernels for accelerated structure prediction. |
★ 414
⑂ 39
⟳ 191
⏱ Jul 26, 2026
|
CUDA samples, drivers, kernels, GPU libraries, compilers, and performance code. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/open-gpu-kernel-modules | C | NVIDIA Linux open GPU kernel module source |
★ 17.2k
⑂ 1.8k
⟳ 94
⏱ Jul 07, 2026
|
| NVIDIA/cutlass | C++ | CUDA Templates and Python DSLs for High-Performance Linear Algebra |
★ 10.1k
⑂ 2k
⟳ 920
⏱ Jul 28, 2026
|
| NVIDIA/cuda-samples | C++ | Samples for CUDA Developers which demonstrates features in CUDA Toolkit |
★ 9.4k
⑂ 2.4k
⟳ 536
⏱ May 27, 2026
|
| NVIDIA/warp | Python | A Python framework for GPU-accelerated simulation, robotics, and machine learning. |
★ 6.9k
⑂ 574
⟳ 7.1k
⏱ Jul 28, 2026
|
| NVIDIA/nccl | C++ | Optimized primitives for collective multi-GPU communication |
★ 4.9k
⑂ 1.4k
⟳ 885
⏱ Jul 27, 2026
|
| NVIDIA/cuda-python | Cython | CUDA Python: Performance meets Productivity |
★ 3.3k
⑂ 313
⟳ 2.1k
⏱ Jul 28, 2026
|
| NVIDIA/CUDALibrarySamples | Cuda | CUDA Library Samples |
★ 2.5k
⑂ 468
⟳ 422
⏱ Jul 17, 2026
|
| NVIDIA/cccl | C++ | CUDA Core Compute Libraries |
★ 2.4k
⑂ 443
⟳ 14.1k
⏱ Jul 28, 2026
|
| NVIDIA/stdexec | C++ | `std::execution`, the standard C++ framework for asynchronous and parallel programming. |
★ 2.4k
⑂ 261
⟳ 3.3k
⏱ Jul 27, 2026
|
| NVIDIA/cutile-python | Python | cuTile is a programming model for writing parallel kernels for NVIDIA GPUs |
★ 2.1k
⑂ 142
⟳ 553
⏱ Jul 25, 2026
|
| NVIDIA/accelerated-computing-hub | Jupyter Notebook | NVIDIA curated collection of educational resources related to general purpose GPU programming. |
★ 1.9k
⑂ 314
⟳ 901
⏱ Jul 27, 2026
|
| NVIDIA/nccl-tests | Cuda | NCCL Tests |
★ 1.6k
⑂ 395
⟳ 270
⏱ Jul 09, 2026
|
| NVIDIA/MatX | C++ | An efficient C++20 GPU numerical computing library with Python-like syntax |
★ 1.4k
⑂ 123
⟳ 1.1k
⏱ Jul 27, 2026
|
| NVIDIA/gdrcopy | C | A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology |
★ 1.4k
⑂ 193
⟳ 942
⏱ Jul 14, 2026
|
| NVIDIA/open-gpu-doc | C | Documentation of NVIDIA chip/hardware interfaces |
★ 1.4k
⑂ 106
⟳ 88
⏱ Jun 10, 2026
|
| NVIDIA/cuda-quantum | C++ | C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows |
★ 1.1k
⑂ 431
⟳ 2.8k
⏱ Jul 28, 2026
|
| NVIDIA/cuda-tile | C++ | CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA tensor core units. |
★ 1k
⑂ 85
⟳ 14
⏱ Jul 22, 2026
|
| NVIDIA/nvbench | Cuda | CUDA Kernel Benchmarking Library |
★ 913
⑂ 115
⟳ 802
⏱ Jul 27, 2026
|
| NVIDIA/cudnn-frontend | Python | cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels. |
★ 890
⑂ 229
⟳ 235
⏱ Jul 28, 2026
|
| NVIDIA/TileGym | Python | Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming |
★ 783
⑂ 81
⟳ 293
⏱ Jul 27, 2026
|
| NVIDIA/DCGM | C++ | NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs |
★ 768
⑂ 106
⟳ 45
⏱ Jul 06, 2026
|
| NVIDIA/nvbandwidth | C++ | A tool for bandwidth measurements on NVIDIA GPUs. |
★ 737
⑂ 88
⟳ 18
⏱ Jul 21, 2026
|
| NVIDIA/AMGX | Cuda | Distributed multigrid linear solver library on GPU |
★ 681
⑂ 188
⟳ 277
⏱ Jul 09, 2026
|
| NVIDIA/cuCollections | Cuda | No description provided. |
★ 655
⑂ 114
⟳ 1.6k
⏱ Jul 19, 2026
|
| NVIDIA/nvmath-python | Cython | NVIDIA Math Libraries for the Python Ecosystem |
★ 591
⑂ 41
⟳ 31
⏱ Jul 14, 2026
|
Isaac, Jetson, robotics, simulation, digital twins, autonomy, and edge deployments. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/cosmos | Jupyter Notebook | 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. |
★ 11.3k
⑂ 789
⟳ 66
⏱ Jul 24, 2026
|
| NVIDIA/Isaac-GR00T | Python | NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots. |
★ 7.7k
⑂ 1.4k
⟳ 142
⏱ Jul 22, 2026
|
| NVIDIA/physicsnemo | Python | Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods |
★ 3.1k
⑂ 742
⟳ 1.1k
⏱ Jul 27, 2026
|
| NVIDIA/jetson-gpio | Python | A Python library that enables the use of Jetson's GPIOs |
★ 1.1k
⑂ 264
⟳ 185
⏱ Jul 24, 2026
|
| NVIDIA/cosmos-framework | Python | Our inference and training framework to run on the Cosmos Models |
★ 419
⑂ 93
⟳ 83
⏱ Jul 28, 2026
|
| NVIDIA/IsaacTeleop | Python | The unified framework for sim & real robot teleoperation |
★ 325
⑂ 66
⟳ 658
⏱ Jul 28, 2026
|
| NVIDIA/cosmos-curator | Python | Cosmos Curator is a powerful video curation system that processes, analyzes, and organizes video content using advanced AI models and distributed computing. |
★ 237
⑂ 34
⟳ 594
⏱ Jun 11, 2026
|
| NVIDIA/asset-harvester | Python | Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation |
★ 232
⑂ 22
⟳ 11
⏱ Jul 21, 2026
|
RAPIDS, accelerated dataframe tooling, ML analytics, recommender systems, and data pipelines. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/DALI | C++ | A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. |
★ 5.7k
⑂ 672
⟳ 4.3k
⏱ Jul 23, 2026
|
| NVIDIA/aistore | Go | AIStore: scalable storage for AI applications |
★ 1.9k
⑂ 277
⟳ 10.8k
⏱ Jul 28, 2026
|
| NVIDIA/raft | Cuda | RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications. |
★ 1k
⑂ 244
⟳ 2.5k
⏱ Jul 27, 2026
|
| NVIDIA/cudf-spark | Scala | NVIDIA cuDF for Apache Spark plugin - accelerate Apache Spark with GPUs |
★ 991
⑂ 291
⟳ 8.7k
⏱ Jul 28, 2026
|
| NVIDIA/cuopt | Cuda | GPU accelerated decision optimization |
★ 988
⑂ 217
⟳ 1k
⏱ Jul 27, 2026
|
| NVIDIA/NVFlare | Python | NVIDIA Federated Learning Application Runtime Environment |
★ 952
⑂ 268
⟳ 3.1k
⏱ Jul 27, 2026
|
| NVIDIA/cuvs | Cuda | cuVS - a library for vector search and clustering on the GPU |
★ 823
⑂ 215
⟳ 1.3k
⏱ Jul 28, 2026
|
| NVIDIA/cuopt-examples | Jupyter Notebook | NVIDIA cuOpt examples for decision optimization |
★ 463
⑂ 84
⟳ 200
⏱ Jul 20, 2026
|
| NVIDIA/Megatron-Energon | Python | Megatron's multi-modal data loader |
★ 375
⑂ 55
⟳ 1.2k
⏱ Jul 27, 2026
|
| NVIDIA/recsys-examples | Python | Examples for Recommenders - easy to train and deploy on accelerated infrastructure. |
★ 293
⑂ 79
⟳ 239
⏱ Jul 23, 2026
|
| NVIDIA/nvidia-kaggle | Python | NVIDIA Kaggle Plugin gives agents end-to-end Kaggle competition workflows through a single skill, nvidia-kaggle-skill. It can gather competition context, study public writeups and notebooks, reproduce kernels locally, submit to competitions, and manage Ka |
★ 272
⑂ 28
⟳ 47
⏱ Jul 10, 2026
|
Kubernetes, containers, operators, MLOps, orchestration, networking, and service infrastructure. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/nvidia-container-toolkit | Go | Build and run containers leveraging NVIDIA GPUs |
★ 4.5k
⑂ 556
⟳ 3.4k
⏱ Jul 27, 2026
|
| NVIDIA/k8s-device-plugin | Go | NVIDIA device plugin for Kubernetes |
★ 3.8k
⑂ 846
⟳ 2.3k
⏱ Jul 27, 2026
|
| NVIDIA/gpu-operator | Go | NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes |
★ 2.8k
⑂ 526
⟳ 4k
⏱ Jul 28, 2026
|
| NVIDIA/dcgm-exporter | Go | NVIDIA GPU metrics exporter for Prometheus leveraging DCGM |
★ 1.8k
⑂ 319
⟳ 587
⏱ Jul 25, 2026
|
| NVIDIA/deepops | Shell | Tools for building GPU clusters |
★ 1.5k
⑂ 354
⟳ 3.9k
⏱ Jul 27, 2026
|
| NVIDIA/libnvidia-container | C | NVIDIA container runtime library |
★ 1.1k
⑂ 271
⟳ 867
⏱ Jul 21, 2026
|
| NVIDIA/enroot | Shell | A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes. |
★ 982
⑂ 133
⟳ 413
⏱ Jun 09, 2026
|
| NVIDIA/hpc-container-maker | Python | HPC Container Maker |
★ 514
⑂ 104
⟳ 500
⏱ May 29, 2026
|
| NVIDIA/pyxis | C | Container plugin for Slurm Workload Manager |
★ 454
⑂ 46
⟳ 228
⏱ May 12, 2026
|
| NVIDIA/aicr | Go | Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes |
★ 355
⑂ 74
⟳ 1.7k
⏱ Jul 28, 2026
|
| NVIDIA/container-canary | Go | A tool for testing and validating container requirements against versioned manifests |
★ 303
⑂ 18
⟳ 80
⏱ Jul 10, 2026
|
| NVIDIA/kubevirt-gpu-device-plugin | Go | NVIDIA k8s device plugin for Kubevirt |
★ 288
⑂ 87
⟳ 195
⏱ Jul 15, 2026
|
| NVIDIA/cloud-native-stack | Shell | Run cloud native workloads on NVIDIA GPUs |
★ 241
⑂ 81
⟳ 460
⏱ Jul 14, 2026
|
| NVIDIA/nim-deploy | Jupyter Notebook | A collection of YAML files, Helm Charts, Operator code, and guides to act as an example reference implementation for NVIDIA NIM deployment. |
★ 240
⑂ 102
⟳ 327
⏱ May 15, 2026
|
| NVIDIA/infra-controller | Rust | NVIDIA Infra Controller - Hardware Lifecycle Management and multitenant networking |
★ 238
⑂ 162
⟳ 2.6k
⏱ Jul 28, 2026
|
| NVIDIA/nvkind | Go | No description provided. |
★ 207
⑂ 30
⟳ 63
⏱ Jul 12, 2026
|
RTX, rendering, computer vision, video, imaging, Vulkan/OpenGL, and media pipelines. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/DLSS | C | NVIDIA DLSS is a new and improved deep learning neural network that boosts frame rates and generates beautiful, sharp images for your games |
★ 1.4k
⑂ 121
⟳ 31
⏱ Jun 23, 2026
|
| NVIDIA/MDL-SDK | C++ | NVIDIA Material Definition Language SDK |
★ 531
⑂ 87
⟳ 54
⏱ Jun 16, 2026
|
| NVIDIA/flashdreams | Python | high-performance inference and serving library for interactive autoregressive video and world models |
★ 428
⑂ 42
⟳ 596
⏱ Jul 27, 2026
|
| NVIDIA/OptiX_Apps | C++ | Advanced Samples for the NVIDIA OptiX 7 Ray Tracing SDK |
★ 357
⑂ 57
⟳ 141
⏱ Jul 06, 2026
|
| NVIDIA/VisRTX | C++ | NVIDIA OptiX based implementation of ANARI |
★ 280
⑂ 45
⟳ 1.9k
⏱ Jul 27, 2026
|
| NVIDIA/nvapi | C | NVAPI is NVIDIA's core software development kit that allows direct access to NVIDIA GPUs and drivers on supported platforms. |
★ 229
⑂ 35
⟳ 21
⏱ Jun 24, 2026
|
| NVIDIA/3DObjectReconstruction | Python | 3D Object Reconstruction project is a workflow that takes a set of stereo images and camera info and outputs a textured mesh (i.e., .OBJ file). The purpose is to translate physical items into the digital world in a photorealistic way |
★ 226
⑂ 24
⟳ 26
⏱ Jul 06, 2026
|
Active repositories from the NVIDIA-AI-IOT GitHub organization with commits in the last three months. Showing 14 repositories sorted by recent activity.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA-AI-IOT/multi_modal_ai_studio | Python | Voice and Vision enabled AI studio with Riva/OpenAI backends |
★ 26
⑂ 11
⟳ 133
⏱ Jul 28, 2026
|
| NVIDIA-AI-IOT/jetson-ai-lab | HTML | GitHub repo for Jetson AI Lab |
★ 193
⑂ 56
⟳ 1.1k
⏱ Jul 28, 2026
|
| NVIDIA-AI-IOT/auto-magic-calib | Python | Sample application repository for AutoMagicCalib tool |
★ 28
⑂ 6
⟳ 47
⏱ Jul 27, 2026
|
| NVIDIA-AI-IOT/Lidar_AI_Solution | C++ | A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,). |
★ 1.9k
⑂ 335
⟳ 127
⏱ Jul 21, 2026
|
| NVIDIA-AI-IOT/deepstream_tools | Python | deepstream_tools will serve as a parent repo to hold various tools to be released for DeepStream SDK. |
★ 35
⑂ 10
⟳ 21
⏱ Jul 15, 2026
|
| NVIDIA-AI-IOT/deepstream_tao_apps | C++ | Sample apps to demonstrate how to deploy models trained with TAO on DeepStream |
★ 455
⑂ 109
⟳ 207
⏱ Jul 15, 2026
|
| NVIDIA-AI-IOT/deepstream_reference_apps | C++ | Samples for TensorRT/Deepstream for Tesla & Jetson |
★ 1.3k
⑂ 372
⟳ 163
⏱ Jul 15, 2026
|
| NVIDIA-AI-IOT/inference_builder | Python | A tool for generating python inference pipeline |
★ 72
⑂ 17
⟳ 896
⏱ Jul 14, 2026
|
| NVIDIA-AI-IOT/deepstream_libraries | Python | DeepStream Libraries offer CVCUDA, NvImageCodec, and PyNvVideoCodec modules as Python APIs for seamless integration into custom frameworks. |
★ 88
⑂ 4
⟳ 7
⏱ Jul 14, 2026
|
| NVIDIA-AI-IOT/reachy-mini-jetson-assistant | Python | Reachy Mini Conversational Pipeline on Jetson |
★ 23
⑂ 10
⟳ 24
⏱ Jul 09, 2026
|
| NVIDIA-AI-IOT/jetbot | Jupyter Notebook | An educational AI robot based on NVIDIA Jetson Nano. |
★ 3.3k
⑂ 1.1k
⟳ 394
⏱ Jun 30, 2026
|
| NVIDIA-AI-IOT/jetson-device-skills | Shell | Foundational Agent Skills for NVIDIA Jetson Device |
★ 86
⑂ 13
⟳ 3
⏱ Jun 24, 2026
|
| NVIDIA-AI-IOT/jetson-bsp-skills | Standard ML | Agentic Skills for Jetson BSP Customization |
★ 41
⑂ 7
⟳ 5
⏱ Jun 22, 2026
|
| NVIDIA-AI-IOT/DeepStream_Coding_Agent | Shell | A project showcasing how to leverage AI coding assistants (Cursor, Claude Code, etc.) for accelerated NVIDIA DeepStream SDK application development using a curated agentic skill and structured prompts. |
★ 77
⑂ 19
⟳ 14
⏱ May 28, 2026
|
Active JetsonHacks repositories with commits in the last three months. Showing 4 repositories sorted by recent activity.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| jetsonhacks/jetson-tools | Shell | Some tools and fragments for working with Jetson |
★ 2
⑂ 0
⟳ 5
⏱ Jul 22, 2026
|
| jetsonhacks/gst-device-explorer | Python | A GStreamer device and pipeline explorer for cameras, microphones, and audio outputs, with Jetson-aware pipeline profiles. |
★ 3
⑂ 0
⟳ 71
⏱ May 29, 2026
|
| jetsonhacks/camera-caps | Python | Examine the camera capabilities for V4l2 cameras |
★ 51
⑂ 8
⟳ 10
⏱ May 23, 2026
|
| jetsonhacks/searxng-search | Python | A practical SearXNG search project with installer scripts, Python examples, and agent integration. |
★ 8
⑂ 0
⟳ 23
⏱ May 14, 2026
|
Active dusty-nv repositories with commits in the last three months. Showing 1 repositories sorted by recent activity.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| dusty-nv/jetson-containers | Jupyter Notebook | Machine Learning Containers for NVIDIA Jetson and JetPack-L4T |
★ 4.8k
⑂ 841
⟳ 5.4k
⏱ Jul 27, 2026
|