132 open source projects by NVIDIA

Cooperative primitives for CUDA C++.

Generate boot.scr for U-Boot on Tegra

A New Padding Scheme: Partial Convolution based Padding

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

Tools for monitoring NVIDIA GPUs on Linux

Reference implementation of real-time autoregressive wavenet inference

Deep Learning Examples

NVIDIA container runtime

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

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

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

Tools for building GPU clusters

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

Deep Learning Experiment Management

Sparse volume compute and rendering on NVIDIA GPUs

Deep Learning GPU Training System

NVIDIA Deep learning Dataset Synthesizer (NDDS)

A REST API for Caffe using Docker and Go

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

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

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

AIStore: scalable storage for AI applications

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

The GL Vendor-Neutral Dispatch library

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

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

The C++ parallel algorithms library.

A GPU performance profiling tool for PyTorch models

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

NVIDIA container runtime library

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes

NVIDIA Material Definition Language SDK

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

HPC Container Maker

cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

GPU Stress Test is a tool to stress the compute engine of NVIDIA Tesla GPU’s by running a BLAS matrix multiply using different data types. It can be compiled and run on both Linux and Windows.

VDisc is a tool for creating and mounting virtual CD-ROM images backed by object storage

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

NGC Container Replicator

NVIDIA Video Effects SDK - API headers and sample applications

RTX compute samples

Minimal HW-based demo of GPUDirect RDMA on NVIDIA Jetson AGX Xavier running L4T

NVIDIA Federated Learning Application Runtime Environment

XGBoost GPU accelerated on Spark example applications