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- nvidia.com
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- DeepLearningExamples
DeepLearningExamples PublicState-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- open-gpu-kernel-modules
open-gpu-kernel-modules PublicNVIDIA Linux open GPU kernel module source
- nvidia-container-toolkit
nvidia-container-toolkit PublicBuild and run containers leveraging NVIDIA GPUs
- GenerativeAIExamples
GenerativeAIExamples PublicGenerative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Repositories
- 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)
NVIDIA/NeMo’s past year of commit activity - cuda-quantum Public
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
NVIDIA/cuda-quantum’s past year of commit activity - nv-ingest Public
NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retrieval systems.
NVIDIA/nv-ingest’s past year of commit activity - accelerated-computing-hub Public
NVIDIA curated collection of educational resources related to general purpose GPU programming.
NVIDIA/accelerated-computing-hub’s past year of commit activity - physicsnemo-sym Public
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
NVIDIA/physicsnemo-sym’s past year of commit activity - physicsnemo Public
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
NVIDIA/physicsnemo’s past year of commit activity