Productive, portable, and performant GPU programming in Python.
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Updated
Jul 15, 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
CUDA Templates for Linear Algebra Subroutines
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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
ArrayFire: a general purpose GPU library.
cuML - RAPIDS Machine Learning Library
Mesh optimization library that makes meshes smaller and faster to render
HeavyDB (formerly OmniSciDB)
Lightning fast C++/CUDA neural network framework
💿 CD Content ( Source Code ) Collection of Book <GPU Gems > 1~ 3 | 《GPU精粹》 1~ 3 随书CD(源代码)珍藏
Aer is a high performance simulator for quantum circuits that includes noise models
A C++ GPU Computing Library for OpenCL
A collection of GICP-based fast point cloud registration algorithms
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
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