suitesparse

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake

GraphBLAS for Python

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

A sparse KLU solver for PyTorch.

Set up cholmod and scikit-sparse python package on Windows.

Development of SuiteSparse.jl, which ships as part of the Julia standard library.

Easy-to-use wrapper for linear solver

Solve sparse linear systems in JAX using the KLU algorithm

Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations

Python binding for KLU solver

Command line tool for working with matrices from the SuiteSparse Matrix Collection (sparse.tamu.edu)

Test cases demonstrating different sparse matrix libraries

Graph Signal Processing in R

SuiteSparse - Owl Interface

Numerical Linear Algebra meets Machine Learning - PSE Project

Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas

An Anymatrix interface to the SuiteSparse Matrix Collection

Python wrapper for the sparse QR decomposition in SuiteSparseQR.