132 open source projects by NVIDIA

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

Providing determinism in deep learning frameworks

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

Explore the Capabilities of the TensorRT Platform

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

NeMo: a toolkit for conversational AI

Distributed multigrid linear solver library on GPU

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

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

Build and run Docker containers leveraging NVIDIA GPUs

Polyglot CUDA integration for the GraalVM

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

NCCL Tests

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

Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"

NVIDIA Data Science stack tools

The EGLStream-based Wayland external platform

NVIDIA driver control panel

Ongoing research training transformer language models at scale, including: BERT & GPT-2

A Flow-based Generative Network for Speech Synthesis

An Open Source Machine Learning Framework for Everyone

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

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

CUDA Library Samples

Visualization framework powered by NVIDIA RTX technology

The C++ Standard Library for your entire system.

Running object detection on a webcam feed using TensorRT on NVIDIA GPUs in Python.

Style transfer, deep learning, feature transform

Deep learning for recommender systems

A library for fast lossless compression/decompression on the GPU

Optimized primitives for collective multi-GPU communication

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Production-Grade Container Scheduling and Management

NVIDIA Dataset Utilities (NVDU)

CUDA GDB

Advanced Samples for the NVIDIA OptiX 7 Ray Tracing SDK

Docker image for Swift all-in-one demo deployment

CUDA Templates for Linear Algebra Subroutines

Container plugin for Slurm Workload Manager

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

Nvidia Semantic Segmentation monorepo

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Unsupervised Language Modeling at scale for robust sentiment classification

NVIDIA device plugin for Kubernetes

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

Build and run containers leveraging NVIDIA GPUs

Optical Flow SDK exposes the latest hardware capability of Turing GPUs dedicated to computing the relative motion of pixels between images. The hardware uses sophisticated algorithms to yield highly accurate flow vectors, with robust frame-to-frame intensity variations and tracks the true object motion faster and more accurately.

NVIDIA Audio Effects SDK is used to apply effects to audio stream. It provides audio denoising for broadcast use cases with real-time audio processing.

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

Documentation of NVIDIA chip/hardware interfaces