NVIDIA Corporation (@NVIDIA)

Top repositories

1

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs
16,896
star
2

open-gpu-kernel-modules

NVIDIA Linux open GPU kernel module source
C
13,784
star
3

DeepLearningExamples

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
12,579
star
4

FastPhotoStyle

Style transfer, deep learning, feature transform
Python
11,020
star
5

NeMo

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
10,251
star
6

TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
C++
9,168
star
7

Megatron-LM

Ongoing research training transformer models at scale
Python
8,824
star
8

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Python
8,482
star
9

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Python
7,915
star
10

TensorRT-LLM

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++
6,807
star
11

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs
Python
6,488
star
12

FasterTransformer

Transformer related optimization, including BERT, GPT
C++
5,313
star
13

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit
C
5,203
star
14

DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
C++
4,929
star
15

thrust

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
C++
4,845
star
16

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Jupyter Notebook
4,562
star
17

cutlass

CUDA Templates for Linear Algebra Subroutines
C++
4,552
star
18

DIGITS

Deep Learning GPU Training System
HTML
4,105
star
19

NeMo-Guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Python
3,489
star
20

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Python
2,938
star
21

nccl

Optimized primitives for collective multi-GPU communication
C++
2,820
star
22

libcudacxx

[ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl
C++
2,288
star
23

k8s-device-plugin

NVIDIA device plugin for Kubernetes
Go
2,269
star
24

waveglow

A Flow-based Generative Network for Speech Synthesis
Python
2,133
star
25

trt-llm-rag-windows

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
Python
2,011
star
26

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Python
2,007
star
27

Stable-Diffusion-WebUI-TensorRT

TensorRT Extension for Stable Diffusion Web UI
Python
1,771
star
28

semantic-segmentation

Nvidia Semantic Segmentation monorepo
Python
1,756
star
29

warp

A Python framework for high performance GPU simulation and graphics
Python
1,695
star
30

DeepRecommender

Deep learning for recommender systems
Python
1,662
star
31

cub

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
Cuda
1,648
star
32

OpenSeq2Seq

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Python
1,511
star
33

TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
Python
1,472
star
34

GenerativeAIExamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Python
1,450
star
35

stdexec

`std::execution`, the proposed C++ framework for asynchronous and parallel programming.
C++
1,258
star
36

VideoProcessingFramework

Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions
C++
1,253
star
37

nvidia-container-toolkit

Build and run containers leveraging NVIDIA GPUs
Go
1,239
star
38

trt-samples-for-hackathon-cn

Simple samples for TensorRT programming
Python
1,211
star
39

Q2RTX

NVIDIA’s implementation of RTX ray-tracing in Quake II
C
1,201
star
40

open-gpu-doc

Documentation of NVIDIA chip/hardware interfaces
C
1,193
star
41

deepops

Tools for building GPU clusters
Shell
1,188
star
42

partialconv

A New Padding Scheme: Partial Convolution based Padding
Python
1,145
star
43

CUDALibrarySamples

CUDA Library Samples
Cuda
1,122
star
44

gpu-operator

NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
Go
1,117
star
45

MatX

An efficient C++17 GPU numerical computing library with Python-like syntax
C++
1,104
star
46

aistore

AIStore: scalable storage for AI applications
Go
1,074
star
47

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification
Python
1,055
star
48

nvidia-container-runtime

NVIDIA container runtime
Makefile
1,035
star
49

gpu-monitoring-tools

Tools for monitoring NVIDIA GPUs on Linux
C
974
star
50

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization
Python
876
star
51

flowtron

Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
Jupyter Notebook
867
star
52

mellotron

Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data
Jupyter Notebook
842
star
53

jetson-gpio

A Python library that enables the use of Jetson's GPIOs
Python
834
star
54

cccl

CUDA C++ Core Libraries
C++
789
star
55

gdrcopy

A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
C++
783
star
56

libnvidia-container

NVIDIA container runtime library
C
729
star
57

spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Scala
728
star
58

nv-wavenet

Reference implementation of real-time autoregressive wavenet inference
Cuda
728
star
59

tensorflow

An Open Source Machine Learning Framework for Everyone
C++
719
star
60

cuda-python

CUDA Python Low-level Bindings
Python
695
star
61

modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Python
686
star
62

MAXINE-AR-SDK

NVIDIA AR SDK - API headers and sample applications
C
671
star
63

nccl-tests

NCCL Tests
Cuda
667
star
64

nvvl

A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
C++
665
star
65

gvdb-voxels

Sparse volume compute and rendering on NVIDIA GPUs
C
656
star
66

dcgm-exporter

NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
Go
650
star
67

BigVGAN

Official PyTorch implementation of BigVGAN (ICLR 2023)
Python
633
star
68

runx

Deep Learning Experiment Management
Python
630
star
69

DLSS

NVIDIA DLSS is a new and improved deep learning neural network that boosts frame rates and generates beautiful, sharp images for your games
C
588
star
70

NVFlare

NVIDIA Federated Learning Application Runtime Environment
Python
544
star
71

Dataset_Synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)
C++
530
star
72

nvcomp

Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.
C++
510
star
73

jitify

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).
C++
499
star
74

libglvnd

The GL Vendor-Neutral Dispatch library
C
467
star
75

enroot

A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes.
Shell
459
star
76

multi-gpu-programming-models

Examples demonstrating available options to program multiple GPUs in a single node or a cluster
Cuda
438
star
77

MDL-SDK

NVIDIA Material Definition Language SDK
C++
438
star
78

PyProf

A GPU performance profiling tool for PyTorch models
Python
437
star
79

AMGX

Distributed multigrid linear solver library on GPU
Cuda
434
star
80

gpu-rest-engine

A REST API for Caffe using Docker and Go
C++
421
star
81

framework-reproducibility

Providing reproducibility in deep learning frameworks
Python
417
star
82

nvbench

CUDA Kernel Benchmarking Library
Cuda
416
star
83

cuCollections

C++
410
star
84

hpc-container-maker

HPC Container Maker
Python
404
star
85

NeMo-Framework-Launcher

NeMo Megatron launcher and tools
Python
398
star
86

NvPipe

NVIDIA-accelerated zero latency video compression library for interactive remoting applications
Cuda
384
star
87

cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
C++
363
star
88

DCGM

NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs
C++
321
star
89

data-science-stack

NVIDIA Data Science stack tools
Shell
317
star
90

cuQuantum

Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
Jupyter Notebook
312
star
91

ai-assisted-annotation-client

Client side integration example source code and libraries for AI-Assisted Annotation SDK
C++
303
star
92

video-sdk-samples

Samples demonstrating how to use various APIs of NVIDIA Video Codec SDK
C++
301
star
93

nvidia-settings

NVIDIA driver control panel
C
286
star
94

gpu-feature-discovery

GPU plugin to the node feature discovery for Kubernetes
Go
280
star
95

cnmem

A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory
C++
280
star
96

NeMo-Aligner

Scalable toolkit for efficient model alignment
Python
278
star
97

radtts

Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.
Roff
269
star
98

NeMo-Curator

Scalable toolkit for data curation
Python
265
star
99

fsi-samples

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
Jupyter Notebook
265
star
100

torch-harmonics

Differentiable spherical harmonic transforms and spherical convolutions in PyTorch
Jupyter Notebook
262
star