Productive, portable, and performant GPU programming in Python.
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Updated
Apr 25, 2024 - C++
Productive, portable, and performant GPU programming in Python.
Open3D: A Modern Library for 3D Data Processing
a language for fast, portable data-parallel computation
Mesh optimization library that makes meshes smaller and faster to render
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
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
CUDA Templates for Linear Algebra Subroutines
ArrayFire: a general purpose GPU library.
cuML - RAPIDS Machine Learning Library
Lightning fast C++/CUDA neural network framework
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
HeavyDB (formerly OmniSciDB)
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
A toy physically based GPU path tracer (C++/OpenGL/GLSL)
A high speed C++17 Vulkan game engine
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