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@NVIDIA

NVIDIA Corporation

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  1. 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 14.1k 3.3k

  2. tensorflow Public

    An Open Source Machine Learning Framework for Everyone

    C++ 1.1k 167

  3. open-gpu-kernel-modules Public

    NVIDIA Linux open GPU kernel module source

    C 15.7k 1.4k

  4. aistore Public

    AIStore: scalable storage for AI applications

    Go 1.5k 199

  5. nvidia-container-toolkit Public

    Build and run containers leveraging NVIDIA GPUs

    Go 3.1k 333

  6. GenerativeAIExamples Public

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

    Python 3k 710

Repositories

Showing 10 of 560 repositories
  • NeMo-Guardrails Public

    NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

    Python 4,622 461 97 (5 issues need help) 34 Updated Apr 9, 2025
  • k8s-device-plugin Public

    NVIDIA device plugin for Kubernetes

    Go 3,129 Apache-2.0 678 83 41 Updated Apr 9, 2025
  • cccl Public

    CUDA Core Compute Libraries

    C++ 1,589 205 967 (5 issues need help) 105 Updated Apr 9, 2025
  • Megatron-LM Public

    Ongoing research training transformer models at scale

    Python 12,027 2,695 251 179 Updated Apr 9, 2025
  • KAI-Scheduler Public

    KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale

    Go 418 Apache-2.0 32 5 4 Updated Apr 9, 2025
  • cuda-quantum Public

    C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

    C++ 667 227 334 (13 issues need help) 48 Updated Apr 9, 2025
  • apex Public

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

    Python 8,606 BSD-3-Clause 1,437 668 79 Updated Apr 9, 2025
  • TensorRT-LLM Public

    TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

    C++ 10,143 Apache-2.0 1,321 486 (1 issue needs help) 169 Updated Apr 9, 2025
  • gpu-operator Public

    NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes

    Go 2,079 Apache-2.0 337 330 31 Updated Apr 9, 2025
  • NeMo Public

    A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

    Python 13,589 Apache-2.0 2,778 73 (1 issue needs help) 126 Updated Apr 9, 2025