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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 - bionemo-framework Public
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
NVIDIA/bionemo-framework’s past year of commit activity - Cosmos Public
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. Cosmos is purpose built for physical AI. The Cosmos repository will enable end users to run the Cosmos models, run inference scripts and generate videos.
NVIDIA/Cosmos’s past year of commit activity