andrei-pokrovsky

AMGX

Distributed multigrid linear solver library on GPU

apex

A PyTorch Extension

cuda-experiments

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cudnn_fused_ops_example

cupti

Profile how CUDA applications create and modify data in memory.

DALI

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

DeepLearningExamples

Deep Learning Examples

dm_control

The DeepMind Control Suite and Package

ecal-rechits-pytorch-training

Photon identification with neural networks using PyTorch

FusedConvGLU

An extension to PyTorch for fused Convolution GLU operation

gen-cmake

CMakeLists.txt file generator

gqn-datasets

GraphicsGems

Code for the "Graphics Gems" book series

GTC19Slides

lltm

netron

Visualizer for deep learning and machine learning models

neural_renderer

Code for "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

NVEnc

NVENCによる高速エンコードの性能実験

OpenSeq2Seq

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

plaidml

PlaidML is a framework for making deep learning work everywhere.

pynvrtc

Python Binding to NVRTC

pytorch-examples

Simple examples to introduce PyTorch

Pytorch-Model-to-TensorRT

pytorchviz

A small package to create visualizations of PyTorch execution graphs

raytracer.hpp

Simple compile-time raytracer using C++17

sbnet

Sparse Blocks Networks

Synchronized-BatchNorm-PyTorch

Synchronized Batch Normalization implementation in PyTorch.

weiler-atherton

Weiler-Atherton Polygon Clipping Algorithm

yais

A C++ Library for Developing Compute Intensive Asynchronous Micro-Services using gRPC