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The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University. NOTE: PRs without signed CONTRIBUTOR AGREEMENT can't be accepted.
Sparse multi-dimensional arrays for the PyData ecosystem
Updated
Aug 17, 2022
Python
A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices.
Updated
Sep 23, 2022
Java
Algebraic Multigrid Solvers in Python
Updated
Sep 26, 2022
Python
Updated
Sep 25, 2022
Java
High Performance Graph Processing with Postgres and GraphBLAS
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
Updated
Aug 15, 2022
Python
Kokkos C++ Performance Portability Programming EcoSystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Updated
Aug 6, 2022
Julia
monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A Simple Finite Element Method program (AsFem)
Julia wrappers for the PETSc library
Updated
Jul 13, 2022
Julia
Structured Matrix Package (LBNL)
DBCSR: Distributed Block Compressed Sparse Row matrix library
Updated
Sep 23, 2022
Fortran
sparse matrix pre-processing library
qpSWIFT is a light-weight sparse quadratic programming solver
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