NVIDIA Corporation

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

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

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

A PyTorch Extension

Tools for building GPU clusters

Deep Learning Inference Server Clients

Deep Learning GPU Training System

NGC Container Replicator

Synthesizing and manipulating 2048x1024 images with conditional GANs

GPU Eigensolver for symmetric/hermitian matrices.

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

NVIDIA device plugin for Kubernetes

Build and run Docker containers leveraging NVIDIA GPUs

CUDA Templates for Linear Algebra Subroutines

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

The GL Vendor-Neutral Dispatch library

The EGLStream-based Wayland external platform

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

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

HPC Container Maker

Reference implementation of real-time autoregressive wavenet inference

NVIDIA container runtime

MxNet to ONNX Exporter

Unsupervised Language Modeling at scale for robust sentiment classification

Kubernetes on NVIDIA GPUs

Tegra ReCovery Mode tool; communicates with Tegra's boot ROM to download code over USB

Tegra BCT and bootable flash image generator/compiler

NVIDIA xorg.conf configurator