Explore @NVIDIA Open Source projects

NVIDIA Corporation (@NVIDIA)

NVIDIA

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nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

open-gpu-kernel-modules

NVIDIA Linux open GPU kernel module source

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

FastPhotoStyle

Style transfer, deep learning, feature transform

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)

TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Megatron-LM

Ongoing research training transformer models at scale

apex

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

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

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.

FasterTransformer

Transformer related optimization, including BERT, GPT

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

thrust

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

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.

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Jupyter Notebook

cutlass

CUDA Templates for Linear Algebra Subroutines

DIGITS

Deep Learning GPU Training System

NeMo-Guardrails

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

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

nccl

Optimized primitives for collective multi-GPU communication

libcudacxx

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

k8s-device-plugin

NVIDIA device plugin for Kubernetes

waveglow

A Flow-based Generative Network for Speech Synthesis

trt-llm-rag-windows

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

semantic-segmentation

Nvidia Semantic Segmentation monorepo

DeepRecommender

Deep learning for recommender systems

Stable-Diffusion-WebUI-TensorRT

TensorRT Extension for Stable Diffusion Web UI

cub

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

warp

A Python framework for high performance GPU simulation and graphics

OpenSeq2Seq

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

GenerativeAIExamples

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

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.

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

nvidia-container-toolkit

Build and run containers leveraging NVIDIA GPUs

trt-samples-for-hackathon-cn

Simple samples for TensorRT programming

open-gpu-doc

Documentation of NVIDIA chip/hardware interfaces

Q2RTX

NVIDIA’s implementation of RTX ray-tracing in Quake II

stdexec

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

deepops

Tools for building GPU clusters

partialconv

A New Padding Scheme: Partial Convolution based Padding

CUDALibrarySamples

CUDA Library Samples

gpu-operator

NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes

MatX

An efficient C++17 GPU numerical computing library with Python-like syntax

aistore

AIStore: scalable storage for AI applications

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

nvidia-container-runtime

NVIDIA container runtime

gpu-monitoring-tools

Tools for monitoring NVIDIA GPUs on Linux

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

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

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

jetson-gpio

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

gdrcopy

A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology

nv-wavenet

Reference implementation of real-time autoregressive wavenet inference

tensorflow

An Open Source Machine Learning Framework for Everyone

spark-rapids

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

cuda-python

CUDA Python Low-level Bindings

libnvidia-container

NVIDIA container runtime library

cccl

CUDA C++ Core Libraries

MAXINE-AR-SDK

NVIDIA AR SDK - API headers and sample applications

nvvl

A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training

nccl-tests

gvdb-voxels

Sparse volume compute and rendering on NVIDIA GPUs

modulus

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

BigVGAN

Official PyTorch implementation of BigVGAN (ICLR 2023)

runx

Deep Learning Experiment Management

DLSS

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

dcgm-exporter

NVIDIA GPU metrics exporter for Prometheus leveraging DCGM

Dataset_Synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)

NVFlare

NVIDIA Federated Learning Application Runtime Environment

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.

jitify

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

libglvnd

The GL Vendor-Neutral Dispatch library

enroot

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

multi-gpu-programming-models

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

MDL-SDK

NVIDIA Material Definition Language SDK

PyProf

A GPU performance profiling tool for PyTorch models

AMGX

Distributed multigrid linear solver library on GPU

gpu-rest-engine

A REST API for Caffe using Docker and Go

nvbench

CUDA Kernel Benchmarking Library

framework-reproducibility

Providing reproducibility in deep learning frameworks

cuCollections

hpc-container-maker

HPC Container Maker

NeMo-Megatron-Launcher

NeMo Megatron launcher and tools

NvPipe

NVIDIA-accelerated zero latency video compression library for interactive remoting applications

cuda-quantum

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

data-science-stack

NVIDIA Data Science stack tools

video-sdk-samples

Samples demonstrating how to use various APIs of NVIDIA Video Codec SDK

ai-assisted-annotation-client

Client side integration example source code and libraries for AI-Assisted Annotation SDK

cuQuantum

Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

Jupyter Notebook

nvidia-settings

NVIDIA driver control panel

DCGM

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

cnmem

A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

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.

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

tensorrt-laboratory

Explore the Capabilities of the TensorRT Platform

CleanUNet

Official PyTorch Implementation of CleanUNet (ICASSP 2022)

gpu-feature-discovery

GPU plugin to the node feature discovery for Kubernetes

torch-harmonics

Differentiable spherical harmonic transforms and spherical convolutions in PyTorch

Jupyter Notebook