OPEN SOURCE AT NVIDIA


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OPEN SOURCE AT NVIDIA

NVIDIA’s home for open source projects and research across artificial intelligence, robotics, and more.

 

RAPIDS

Open GPU data science

Website>   GitHub>

TensorRT

High-performance platform for deep learning inference

Website>   GitHub>

NCCL

Optimized primitives for collective multi-gpu communication

Website>   GitHub>

TensorRT Inference Server

Inference microservice for data center production that maximizes GPU utilization

Website>   GitHub>

DALI

Data pre-processing in deep learning applications

GitHub>

Apex

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

Website>   GitHub>

DIGITS

Deep Learning GPU Training System

Website>   GitHub>

TensorFlow

Examples that show how to use TF-TRT

Website>   GitHub>

ONNX

TensorRT backend for ONNX

Website>   GitHub>

Docker

Build and run Docker containers leveraging NVIDIA GPUs

Website>   GitHub>

Kubernetes

Kubernetes on NVIDIA GPUs

Website>   GitHub>

K8s Device Plugin

Enable GPU support in Kubernetes with the NVIDIA device plugin

GitHub>

Container Runtime

Support multiple Linux container runtimes via the NVIDIA Container Runtime

Website>   GitHub>

Container Runtime Library

Automatically configure GNU/Linux containers leveraging NVIDIA hardware

GitHub>

GPU Monitoring Tools

Bindings and utilities for monitoring NVIDIA GPUs on Linux

GitHub>

MDL

NVIDIA Material Definition Language SDK

Website>   GitHub>

USD

Universal Scene Description

Website>   GitHub>

Falcor

Real-time rendering framework

Website>   GitHub>

PhysX

Physics simulation engine

Website>   GitHub>

TF TRT Image Classification

Image classification with NVIDIA TensorRT from TensorFlow models

GitHub>

Redtail

Perception and AI components for autonomous mobile robotics

Website>   GitHub>

CUTLASS

CUDA Templates for Linear Algebra Subroutines

Website>   GitHub>

Thrust

Parallel algorithms library

Website>   GitHub>

AmgX

Distributed multi-grid linear solver library on GPU

Website>   GitHub>

Open Seq2Seq

Toolkit for efficient experimentation with various sequence-to-sequence models

Website>   GitHub>

vid2vid

High-resolution photorealistic video-to-video translation

GitHub>

Deep Recommender

Deep learning for recommender systems

GitHub>

Milano

Tool for automating hyper-parameters search for your models on a backend of your choice

GitHub>

Tacotron 2

PyTorch implementation with faster-than-realtime inference

GitHub>

Deep Learning Examples

Tensor Cores optimized code-samples

Website>   GitHub>