Productive, portable, and performant GPU programming in Python.

Open3D: A Modern Library for 3D Data Processing

cuDF - GPU DataFrame Library

CUDA Templates and Python DSLs for High-Performance Linear Algebra

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Mesh optimization library that makes meshes smaller and faster to render

a language for fast, portable data-parallel computation

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

cuML - RAPIDS Machine Learning Library

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

ArrayFire: a general purpose GPU library.

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

Lightning fast C++/CUDA neural network framework

Optimized primitives for collective multi-GPU communication

waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan

HeavyDB (formerly MapD/OmniSciDB)

Open source neural network chess engine with GPU acceleration and broad hardware support.

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE