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 2026-03-05.
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/NemoClaw | TypeScript | Run agents like Hermes and OpenClaw more securely inside NVIDIA OpenShell with managed inference | AI, LLM & Model Tooling |
★ 21k
⑂ 2.8k
⟳ 2.1k
⏱ Jun 05, 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 |
★ 13.8k
⑂ 2.4k
⟳ 7.1k
⏱ Jun 05, 2026
|
| NVIDIA/OpenShell | Rust | OpenShell is the safe, private runtime for autonomous AI agents. | AI, LLM & Model Tooling |
★ 6.8k
⑂ 807
⟳ 825
⏱ Jun 05, 2026
|
| NVIDIA/nccl | C++ | Optimized primitives for collective multi-GPU communication | GPU Computing, CUDA & Systems |
★ 4.8k
⑂ 1.3k
⟳ 861
⏱ Jun 04, 2026
|
| NVIDIA/cccl | C++ | CUDA Core Compute Libraries | GPU Computing, CUDA & Systems |
★ 2.4k
⑂ 401
⟳ 13.7k
⏱ Jun 05, 2026
|
| NVIDIA/aicr | Go | Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes | Cloud Native, Infrastructure & DevOps |
★ 323
⑂ 55
⟳ 1.2k
⏱ Jun 05, 2026
|
| NVIDIA/nvshmem | C++ | NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams. | GPU Computing, CUDA & Systems |
★ 540
⑂ 83
⟳ 726
⏱ May 30, 2026
|
| NVIDIA/Megatron-LM | Python | Ongoing research training transformer models at scale | AI, LLM & Model Tooling |
★ 16.6k
⑂ 4k
⟳ 9k
⏱ Jun 05, 2026
|
| NVIDIA/skills | Python | AI agent skills published by NVIDIA | AI, LLM & Model Tooling |
★ 1k
⑂ 112
⟳ 289
⏱ Jun 04, 2026
|
| NVIDIA/cuopt | Cuda | GPU accelerated decision optimization | Data Science, RAPIDS & Analytics |
★ 931
⑂ 188
⟳ 872
⏱ Jun 05, 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. | AI, LLM & Model Tooling |
★ 2.9k
⑂ 322
⟳ 1.4k
⏱ Jun 05, 2026
|
| NVIDIA/warp | Python | A Python framework for GPU-accelerated simulation, robotics, and machine learning. | GPU Computing, CUDA & Systems |
★ 6.7k
⑂ 521
⟳ 6.9k
⏱ Jun 05, 2026
|
| NVIDIA/aistore | Go | AIStore: scalable storage for AI applications | Data Science, RAPIDS & Analytics |
★ 1.9k
⑂ 259
⟳ 10.6k
⏱ Jun 05, 2026
|
| NVIDIA/cuda-quantum | C++ | C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows | GPU Computing, CUDA & Systems |
★ 1.1k
⑂ 399
⟳ 2.6k
⏱ Jun 05, 2026
|
| NVIDIA/spark-rapids | Scala | Spark RAPIDS plugin - accelerate Apache Spark with GPUs | Data Science, RAPIDS & Analytics |
★ 977
⑂ 283
⟳ 8.5k
⏱ Jun 05, 2026
|
| NVIDIA/NVFlare | Python | NVIDIA Federated Learning Application Runtime Environment | Data Science, RAPIDS & Analytics |
★ 939
⑂ 259
⟳ 2.9k
⏱ Jun 04, 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 |
★ 2.9k
⑂ 426
⟳ 866
⏱ Jun 05, 2026
|
| NVIDIA/torch-harmonics | Jupyter Notebook | Differentiable signal processing on the sphere for PyTorch | AI, LLM & Model Tooling |
★ 676
⑂ 67
⟳ 581
⏱ Jun 04, 2026
|
| NVIDIA/IsaacTeleop | Python | The unified framework for sim & real robot teleoperation | Robotics, Simulation & Edge AI |
★ 220
⑂ 31
⟳ 520
⏱ Jun 05, 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. | AI, LLM & Model Tooling |
★ 3.4k
⑂ 739
⟳ 1.9k
⏱ Jun 05, 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 |
★ 2.4k
⑂ 666
⟳ 1.3k
⏱ Jun 04, 2026
|
| NVIDIA/cutile-python | Python | cuTile is a programming model for writing parallel kernels for NVIDIA GPUs | GPU Computing, CUDA & Systems |
★ 2.1k
⑂ 139
⟳ 367
⏱ Jun 03, 2026
|
| NVIDIA/VisRTX | C++ | NVIDIA OptiX based implementation of ANARI | Graphics, Vision & Media |
★ 277
⑂ 43
⟳ 1.8k
⏱ Jun 04, 2026
|
| NVIDIA/garak | Python | the LLM vulnerability scanner | AI, LLM & Model Tooling |
★ 8k
⑂ 994
⟳ 4.1k
⏱ Jun 04, 2026
|
| NVIDIA/gpu-operator | Go | NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes | Cloud Native, Infrastructure & DevOps |
★ 2.7k
⑂ 512
⟳ 3.8k
⏱ Jun 05, 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 and OpenClaw more securely inside NVIDIA OpenShell with managed inference |
★ 21k
⑂ 2.8k
⟳ 2.1k
⏱ Jun 05, 2026
|
| NVIDIA/Megatron-LM | Python | Ongoing research training transformer models at scale |
★ 16.6k
⑂ 4k
⟳ 9k
⏱ Jun 05, 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. |
★ 13.8k
⑂ 2.4k
⟳ 7.1k
⏱ Jun 05, 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. |
★ 13k
⑂ 2.4k
⟳ 599
⏱ Jun 03, 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. |
★ 9.2k
⑂ 586
⟳ 14
⏱ Jun 05, 2026
|
| NVIDIA/apex | Python | A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch |
★ 9k
⑂ 1.5k
⟳ 1.3k
⏱ Jun 01, 2026
|
| NVIDIA/garak | Python | the LLM vulnerability scanner |
★ 8k
⑂ 994
⟳ 4.1k
⏱ Jun 04, 2026
|
| NVIDIA/OpenShell | Rust | OpenShell is the safe, private runtime for autonomous AI agents. |
★ 6.8k
⑂ 807
⟳ 825
⏱ Jun 05, 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. |
★ 3.4k
⑂ 739
⟳ 1.9k
⏱ Jun 05, 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. |
★ 2.9k
⑂ 322
⟳ 1.4k
⏱ Jun 05, 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. |
★ 2.9k
⑂ 426
⟳ 866
⏱ Jun 05, 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. |
★ 2.4k
⑂ 666
⟳ 1.3k
⏱ Jun 04, 2026
|
| NVIDIA/stdexec | C++ | `std::execution`, the standard C++ framework for asynchronous and parallel programming. |
★ 2.4k
⑂ 246
⟳ 3.2k
⏱ Jun 02, 2026
|
| NVIDIA/trt-samples-for-hackathon-cn | Python | Simple samples for TensorRT programming |
★ 1.7k
⑂ 350
⟳ 266
⏱ May 05, 2026
|
| NVIDIA/SkillSpector | Python | Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks. |
★ 1.2k
⑂ 93
⟳ 7
⏱ Jun 04, 2026
|
| NVIDIA/kvpress | Python | LLM KV cache compression made easy |
★ 1.1k
⑂ 147
⟳ 111
⏱ Jun 04, 2026
|
| NVIDIA/skills | Python | AI agent skills published by NVIDIA |
★ 1k
⑂ 112
⟳ 289
⏱ Jun 04, 2026
|
| NVIDIA/earth2studio | Python | Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows. |
★ 973
⑂ 217
⟳ 569
⏱ Jun 04, 2026
|
| NVIDIA/torch-harmonics | Jupyter Notebook | Differentiable signal processing on the sphere for PyTorch |
★ 676
⑂ 67
⟳ 581
⏱ Jun 04, 2026
|
| NVIDIA/NVTX | C++ | The NVIDIA® Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resources in your applications. |
★ 537
⑂ 72
⟳ 770
⏱ May 28, 2026
|
| NVIDIA/cuQuantum | Jupyter Notebook | Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples |
★ 487
⑂ 99
⟳ 131
⏱ May 01, 2026
|
| NVIDIA/NeMo-text-processing | Python | NeMo text processing for ASR and TTS |
★ 466
⑂ 169
⟳ 157
⏱ Jun 04, 2026
|
| NVIDIA/go-nvml | C | Go Bindings for the NVIDIA Management Library (NVML) |
★ 444
⑂ 95
⟳ 324
⏱ Jun 04, 2026
|
| NVIDIA/TensorRT-Edge-LLM | Python | High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI |
★ 424
⑂ 75
⟳ 17
⏱ Jun 03, 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 |
★ 17.1k
⑂ 1.7k
⟳ 93
⏱ May 27, 2026
|
| NVIDIA/cutlass | C++ | CUDA Templates and Python DSLs for High-Performance Linear Algebra |
★ 9.8k
⑂ 1.9k
⟳ 891
⏱ Jun 03, 2026
|
| NVIDIA/cuda-samples | C++ | Samples for CUDA Developers which demonstrates features in CUDA Toolkit |
★ 9.3k
⑂ 2.4k
⟳ 536
⏱ May 27, 2026
|
| NVIDIA/warp | Python | A Python framework for GPU-accelerated simulation, robotics, and machine learning. |
★ 6.7k
⑂ 521
⟳ 6.9k
⏱ Jun 05, 2026
|
| NVIDIA/nccl | C++ | Optimized primitives for collective multi-GPU communication |
★ 4.8k
⑂ 1.3k
⟳ 861
⏱ Jun 04, 2026
|
| NVIDIA/cuda-python | Cython | CUDA Python: Performance meets Productivity |
★ 3.3k
⑂ 294
⟳ 2k
⏱ Jun 05, 2026
|
| NVIDIA/CUDALibrarySamples | Cuda | CUDA Library Samples |
★ 2.4k
⑂ 459
⟳ 412
⏱ Jun 04, 2026
|
| NVIDIA/cccl | C++ | CUDA Core Compute Libraries |
★ 2.4k
⑂ 401
⟳ 13.7k
⏱ Jun 05, 2026
|
| NVIDIA/cutile-python | Python | cuTile is a programming model for writing parallel kernels for NVIDIA GPUs |
★ 2.1k
⑂ 139
⟳ 367
⏱ Jun 03, 2026
|
| NVIDIA/accelerated-computing-hub | Jupyter Notebook | NVIDIA curated collection of educational resources related to general purpose GPU programming. |
★ 1.7k
⑂ 292
⟳ 836
⏱ May 18, 2026
|
| NVIDIA/nccl-tests | Cuda | NCCL Tests |
★ 1.5k
⑂ 375
⟳ 145
⏱ May 20, 2026
|
| NVIDIA/MatX | C++ | An efficient C++20 GPU numerical computing library with Python-like syntax |
★ 1.4k
⑂ 117
⟳ 1.1k
⏱ Jun 04, 2026
|
| NVIDIA/gdrcopy | C++ | A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology |
★ 1.4k
⑂ 188
⟳ 938
⏱ Mar 12, 2026
|
| NVIDIA/cuda-quantum | C++ | C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows |
★ 1.1k
⑂ 399
⟳ 2.6k
⏱ Jun 05, 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. |
★ 973
⑂ 81
⟳ 11
⏱ May 28, 2026
|
| NVIDIA/nvbench | Cuda | CUDA Kernel Benchmarking Library |
★ 870
⑂ 109
⟳ 781
⏱ Jun 04, 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. |
★ 840
⑂ 177
⟳ 142
⏱ Jun 05, 2026
|
| NVIDIA/TileGym | Python | Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming |
★ 745
⑂ 71
⟳ 199
⏱ Jun 05, 2026
|
| NVIDIA/DCGM | C++ | NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs |
★ 738
⑂ 96
⟳ 43
⏱ May 29, 2026
|
| NVIDIA/nvbandwidth | C++ | A tool for bandwidth measurements on NVIDIA GPUs. |
★ 710
⑂ 82
⟳ 17
⏱ Apr 08, 2026
|
| NVIDIA/cuCollections | Cuda | No description provided. |
★ 648
⑂ 112
⟳ 1.6k
⏱ May 27, 2026
|
| NVIDIA/nvmath-python | Cython | NVIDIA Math Libraries for the Python Ecosystem |
★ 585
⑂ 35
⟳ 29
⏱ May 28, 2026
|
| NVIDIA/nvshmem | C++ | NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams. |
★ 540
⑂ 83
⟳ 726
⏱ May 30, 2026
|
| NVIDIA/tilus | Python | Tilus is a tile-level kernel programming language with explicit control over shared memory and registers. |
★ 487
⑂ 25
⟳ 210
⏱ May 19, 2026
|
| NVIDIA/Fuser | C++ | A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser") |
★ 392
⑂ 80
⟳ 4.1k
⏱ May 31, 2026
|
Isaac, Jetson, robotics, simulation, digital twins, autonomy, and edge deployments. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/Isaac-GR00T | Python | NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots. |
★ 7.3k
⑂ 1.2k
⟳ 133
⏱ Jun 04, 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 |
★ 2.9k
⑂ 681
⟳ 995
⏱ Jun 04, 2026
|
| NVIDIA/DreamDojo | Python | Official Codebase for "DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos" (ICML 2026) |
★ 914
⑂ 59
⟳ 18
⏱ Mar 21, 2026
|
| NVIDIA/soma-retargeter | Python | SOMA BVH to humanoid robot motion retargeting library built with Newton and NVIDIA Warp |
★ 403
⑂ 54
⟳ 7
⏱ Mar 25, 2026
|
| NVIDIA/DL4AGX | Shell | Deep Learning tools and applications for NVIDIA AGX platforms. |
★ 282
⑂ 62
⟳ 107
⏱ Mar 13, 2026
|
| NVIDIA/IsaacTeleop | Python | The unified framework for sim & real robot teleoperation |
★ 220
⑂ 31
⟳ 520
⏱ Jun 05, 2026
|
| NVIDIA/asset-harvester | Python | Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation |
★ 206
⑂ 16
⟳ 6
⏱ May 22, 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
⑂ 667
⟳ 4.3k
⏱ Jun 03, 2026
|
| NVIDIA/aistore | Go | AIStore: scalable storage for AI applications |
★ 1.9k
⑂ 259
⟳ 10.6k
⏱ Jun 05, 2026
|
| NVIDIA/spark-rapids | Scala | Spark RAPIDS plugin - accelerate Apache Spark with GPUs |
★ 977
⑂ 283
⟳ 8.5k
⏱ Jun 05, 2026
|
| NVIDIA/NVFlare | Python | NVIDIA Federated Learning Application Runtime Environment |
★ 939
⑂ 259
⟳ 2.9k
⏱ Jun 04, 2026
|
| NVIDIA/cuopt | Cuda | GPU accelerated decision optimization |
★ 931
⑂ 188
⟳ 872
⏱ Jun 05, 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. |
★ 925
⑂ 218
⟳ 290
⏱ Jun 04, 2026
|
| NVIDIA/cuopt-examples | Jupyter Notebook | NVIDIA cuOpt examples for decision optimization |
★ 458
⑂ 79
⟳ 173
⏱ Jun 03, 2026
|
| NVIDIA/Megatron-Energon | Python | Megatron's multi-modal data loader |
★ 353
⑂ 45
⟳ 1.2k
⏱ Jun 03, 2026
|
| NVIDIA/recsys-examples | Python | Examples for Recommenders - easy to train and deploy on accelerated infrastructure. |
★ 274
⑂ 70
⟳ 223
⏱ Jun 02, 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 |
★ 4.4k
⑂ 534
⟳ 3.3k
⏱ Jun 05, 2026
|
| NVIDIA/k8s-device-plugin | Go | NVIDIA device plugin for Kubernetes |
★ 3.8k
⑂ 827
⟳ 2.2k
⏱ Jun 04, 2026
|
| NVIDIA/gpu-operator | Go | NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes |
★ 2.7k
⑂ 512
⟳ 3.8k
⏱ Jun 05, 2026
|
| NVIDIA/dcgm-exporter | Go | NVIDIA GPU metrics exporter for Prometheus leveraging DCGM |
★ 1.8k
⑂ 297
⟳ 586
⏱ May 12, 2026
|
| NVIDIA/deepops | Shell | Tools for building GPU clusters |
★ 1.4k
⑂ 351
⟳ 3.8k
⏱ Jun 02, 2026
|
| NVIDIA/libnvidia-container | C | NVIDIA container runtime library |
★ 1.1k
⑂ 263
⟳ 859
⏱ Jun 03, 2026
|
| NVIDIA/enroot | Shell | A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes. |
★ 953
⑂ 128
⟳ 413
⏱ May 19, 2026
|
| NVIDIA/hpc-container-maker | Python | HPC Container Maker |
★ 514
⑂ 102
⟳ 500
⏱ May 29, 2026
|
| NVIDIA/pyxis | C | Container plugin for Slurm Workload Manager |
★ 450
⑂ 41
⟳ 228
⏱ May 12, 2026
|
| NVIDIA/aicr | Go | Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes |
★ 323
⑂ 55
⟳ 1.2k
⏱ Jun 05, 2026
|
| NVIDIA/kubevirt-gpu-device-plugin | Go | NVIDIA k8s device plugin for Kubevirt |
★ 282
⑂ 82
⟳ 189
⏱ Jun 04, 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. |
★ 236
⑂ 99
⟳ 327
⏱ May 15, 2026
|
| NVIDIA/nvkind | Go | No description provided. |
★ 204
⑂ 27
⟳ 59
⏱ Jun 03, 2026
|
RTX, rendering, computer vision, video, imaging, Vulkan/OpenGL, and media pipelines. Showing up to 25 repositories by stars.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA/flownet2-pytorch | Python | Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks |
★ 3.3k
⑂ 749
⟳ 108
⏱ Mar 30, 2026
|
| 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 |
★ 1.3k
⑂ 116
⟳ 30
⏱ Apr 21, 2026
|
| NVIDIA/Audio2Face-3D-Samples | Python | A service to convert audio to facial blendshapes for lipsyncing and facial performances. |
★ 305
⑂ 48
⟳ 8
⏱ Mar 11, 2026
|
| NVIDIA/VisRTX | C++ | NVIDIA OptiX based implementation of ANARI |
★ 277
⑂ 43
⟳ 1.8k
⏱ Jun 04, 2026
|
| NVIDIA/nvapi | C | NVAPI is NVIDIA's core software development kit that allows direct access to NVIDIA GPUs and drivers on supported platforms. |
★ 218
⑂ 29
⟳ 20
⏱ Mar 27, 2026
|
Active repositories from the NVIDIA-AI-IOT GitHub organization with commits in the last three months. Showing 16 repositories sorted by recent activity.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| NVIDIA-AI-IOT/jetson-ai-lab | HTML | GitHub repo for Jetson AI Lab |
★ 179
⑂ 51
⟳ 1.1k
⏱ Jun 03, 2026
|
| NVIDIA-AI-IOT/jetson-bsp-skills | Standard ML | Agentic Skills for Jetson BSP Customization |
★ 4
⑂ 2
⟳ 3
⏱ Jun 02, 2026
|
| NVIDIA-AI-IOT/jetson-device-skills | Shell | Foundational Agent Skills for NVIDIA Jetson Device |
★ 6
⑂ 3
⟳ 1
⏱ Jun 01, 2026
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| NVIDIA-AI-IOT/inference_builder | Python | A tool for generating python inference pipeline |
★ 63
⑂ 15
⟳ 833
⏱ May 29, 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. |
★ 69
⑂ 11
⟳ 14
⏱ May 28, 2026
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| NVIDIA-AI-IOT/auto-magic-calib | Mixed | Sample application repository for AutoMagicCalib tool |
★ 22
⑂ 5
⟳ 46
⏱ May 19, 2026
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| NVIDIA-AI-IOT/multi_modal_ai_studio | Python | Voice and Vision enabled AI studio with Riva/OpenAI backends |
★ 18
⑂ 7
⟳ 133
⏱ May 12, 2026
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| NVIDIA-AI-IOT/deepstream_dockers | Shell | A project demonstrating how to make DeepStream docker images. |
★ 92
⑂ 19
⟳ 26
⏱ Apr 20, 2026
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| NVIDIA-AI-IOT/deepstream_reference_apps | C++ | Samples for TensorRT/Deepstream for Tesla & Jetson |
★ 1.3k
⑂ 369
⟳ 161
⏱ Apr 20, 2026
|
| NVIDIA-AI-IOT/deepstream_python_apps | Jupyter Notebook | DeepStream SDK Python bindings and sample applications |
★ 1.9k
⑂ 534
⟳ 43
⏱ Apr 01, 2026
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| NVIDIA-AI-IOT/reachy-mini-jetson-assistant | Python | Reachy Mini Conversational Pipeline on Jetson |
★ 14
⑂ 6
⟳ 10
⏱ Mar 24, 2026
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| NVIDIA-AI-IOT/deepstream_libraries | Python | DeepStream Libraries offer CVCUDA, NvImageCodec, and PyNvVideoCodec modules as Python APIs for seamless integration into custom frameworks. |
★ 81
⑂ 2
⟳ 5
⏱ Mar 18, 2026
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| NVIDIA-AI-IOT/deepstream_tools | Python | deepstream_tools will serve as a parent repo to hold various tools to be released for DeepStream SDK. |
★ 33
⑂ 8
⟳ 20
⏱ Mar 18, 2026
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| NVIDIA-AI-IOT/deepstream_tao_apps | C++ | Sample apps to demonstrate how to deploy models trained with TAO on DeepStream |
★ 451
⑂ 108
⟳ 206
⏱ Mar 18, 2026
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| NVIDIA-AI-IOT/live-vlm-webui | Python | Real-time Vision Language Model interaction via webcam - WebRTC-based web interface |
★ 342
⑂ 54
⟳ 156
⏱ Mar 10, 2026
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| NVIDIA-AI-IOT/Lidar_AI_Solution | Python | 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,). |
★ 1.8k
⑂ 326
⟳ 125
⏱ Mar 10, 2026
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Active JetsonHacks repositories with commits in the last three months. Showing 8 repositories sorted by recent activity.
| Repository | Language | Description | GitHub |
|---|---|---|---|
| jetsonhacks/gst-device-explorer | Python | A GStreamer device and pipeline explorer for cameras, microphones, and audio outputs, with Jetson-aware pipeline profiles. |
★ 2
⑂ 0
⟳ 71
⏱ May 29, 2026
|
| jetsonhacks/camera-caps | Python | Examine the camera capabilities for V4l2 cameras |
★ 51
⑂ 8
⟳ 10
⏱ May 23, 2026
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| jetsonhacks/searxng-search | Python | A practical SearXNG search project with installer scripts, Python examples, and agent integration. |
★ 7
⑂ 0
⟳ 23
⏱ May 14, 2026
|
| jetsonhacks/NemoClaw-Orin | Shell | Install and run NemoClaw on NVIDIA Jetson Orin with a patched OpenShell cluster image and streamlined onboarding. |
★ 26
⑂ 9
⟳ 19
⏱ Apr 17, 2026
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| jetsonhacks/JetsonClaw | Mixed | OpenShell + ZeroClaw for NVIDIA Jetson edge devices |
★ 2
⑂ 0
⟳ 2
⏱ Apr 04, 2026
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| jetsonhacks/migrate-jetson-to-ssd | Shell | Use a SD card to setup a Jetson to boot and run from SSD |
★ 163
⑂ 44
⟳ 26
⏱ Mar 30, 2026
|
| jetsonhacks/OpenShell-Thor | Shell | Scripts to configure Jetson AGX Thor (JetPack 7.1) to run NVIDIA OpenShell |
★ 5
⑂ 0
⟳ 5
⏱ Mar 18, 2026
|
| jetsonhacks/shellworks | Python | A minimal terminal assistant that grows into a capable local agent environment. |
★ 3
⑂ 1
⟳ 8
⏱ Mar 17, 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 |
★ 4.7k
⑂ 832
⟳ 5.4k
⏱ May 30, 2026
|