NVIDIA/AMGXCuda
Distributed multigrid linear solver library on GPU
(679 stars) (186 forks) (5 件の索引済み issue) (5 件のオープンな good first issue)
リポジトリ
NVIDIA のリポジトリ
NVIDIA/DALIC++
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
(5,722 stars) (670 forks) (28 件の索引済み issue) (28 件のオープンな good first issue)
NVIDIA/DIGITSHTML
Deep Learning GPU Training System
(4,110 stars) (1,403 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
(9,952 stars) (2,615 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
NVIDIA/DeepRecommenderPython
Deep learning for recommender systems
(1,702 stars) (340 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)
NVIDIA/FastPhotoStylePython
Style transfer, deep learning, feature transform
(11,055 stars) (1,214 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
NVIDIA/FuserC++
A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
(392 stars) (80 forks) (15 件の索引済み issue) (15 件のオープンな good first issue)
NVIDIA/Isaac-GR00TPython
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
(7,280 stars) (1,241 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)
NVIDIA/Megatron-LMPython
Ongoing research training transformer models at scale
(7,565 stars) (1,723 forks) (2 件の索引済み issue) (2 件のオープンな good first issue)
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
(2,489 stars) (701 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
NVIDIA/NeMo-RetrieverPython
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.
(2,944 stars) (339 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)
A toolkit for processing speech data and creating speech datasets
(213 stars) (44 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
NeMo text processing for ASR and TTS
(486 stars) (177 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
NVIDIA/OpenSeq2SeqPython
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
(1,524 stars) (376 forks) (2 件の索引済み issue) (2 件のオープンな good first issue)
NVIDIA/OpenShell-CommunityDockerfile
OpenShell is the safe, private runtime for autonomous AI agents.
(152 stars) (51 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
(8,292 stars) (1,896 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Experimental projects related to TensorRT
(126 stars) (29 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)
NVIDIA/TensorRT-LLMPython
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.
(14,296 stars) (2,637 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
NVIDIA/apexPython
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
(7,803 stars) (1,312 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
A tool for testing and validating container requirements against versioned manifests
(302 stars) (17 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)