Squeeze-and-Excitation Networks

cuGraph - RAPIDS Graph Analytics Library

GPU Accelerated t-SNE for CUDA with Python bindings

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

CUDA Kernel Benchmarking Library

Graphics Processing Units Molecular Dynamics

GPU accelerated decision optimization

cuVS - a library for vector search and clustering on the GPU

Static suckless single batch CUDA-only qwen3-0.6B mini inference engine

Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.

PopSift is an implementation of the SIFT algorithm in CUDA.

A simple GPU hash table implemented in CUDA using lock free techniques

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial

SDK for GPU accelerated genome assembly and analysis

GPU-accelerated triangle mesh processing

A plugin to use Nvidia GPU in PySCF package

an implementation of parallel linear BVH (LBVH) on GPU