Skip to content
@NVIDIA

NVIDIA Corporation

Pinned Loading

  1. DeepLearningExamples DeepLearningExamples Public

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

    Jupyter Notebook 14.3k 3.3k

  2. tensorflow tensorflow Public

    An Open Source Machine Learning Framework for Everyone

    C++ 1.1k 176

  3. open-gpu-kernel-modules open-gpu-kernel-modules Public

    NVIDIA Linux open GPU kernel module source

    C 15.8k 1.4k

  4. aistore aistore Public

    AIStore: scalable storage for AI applications

    Go 1.5k 204

  5. nvidia-container-toolkit nvidia-container-toolkit Public

    Build and run containers leveraging NVIDIA GPUs

    Go 3.2k 349

  6. GenerativeAIExamples GenerativeAIExamples Public

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

    Jupyter Notebook 3.1k 743

Repositories

Showing 10 of 576 repositories
  • VisRTX Public

    NVIDIA OptiX based implementation of ANARI

    NVIDIA/VisRTX’s past year of commit activity
    C++ 256 30 8 0 Updated May 20, 2025
  • cccl Public

    CUDA Core Compute Libraries

    NVIDIA/cccl’s past year of commit activity
    C++ 1,644 215 956 (4 issues need help) 125 Updated May 20, 2025
  • cuda-q-academic Public

    This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.

    NVIDIA/cuda-q-academic’s past year of commit activity
    Jupyter Notebook 108 28 0 3 Updated May 20, 2025
  • AIQToolkit Public

    The NVIDIA Agent Intelligence (AIQ) toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.

    NVIDIA/AIQToolkit’s past year of commit activity
    Python 894 Apache-2.0 176 38 21 Updated May 20, 2025
  • TensorRT-LLM Public

    TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support 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 performant way.

    NVIDIA/TensorRT-LLM’s past year of commit activity
    C++ 10,522 Apache-2.0 1,439 603 (1 issue needs help) 248 Updated May 20, 2025
  • JAX-Toolbox Public

    JAX-Toolbox

    NVIDIA/JAX-Toolbox’s past year of commit activity
    Python 306 Apache-2.0 59 79 40 Updated May 20, 2025
  • TensorRT-Incubator Public

    Experimental projects related to TensorRT

    NVIDIA/TensorRT-Incubator’s past year of commit activity
    MLIR 102 15 50 (1 issue needs help) 9 Updated May 20, 2025
  • TransformerEngine Public

    A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

    NVIDIA/TransformerEngine’s past year of commit activity
    Python 2,418 Apache-2.0 421 190 72 Updated May 20, 2025
  • cloudai Public

    CloudAI Benchmark Framework

    NVIDIA/cloudai’s past year of commit activity
    Python 64 Apache-2.0 28 0 21 Updated May 20, 2025
  • NeMo-RL Public

    Scalable toolkit for efficient model reinforcement

    NVIDIA/NeMo-RL’s past year of commit activity
    Python 241 Apache-2.0 10 96 (2 issues need help) 33 Updated May 20, 2025