A collection of algorithms and data structures

BLAS-like Library Instantiation Software Framework

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Acceleration package for neural networks on multi-core CPUs

Fast Clojure Matrix Library

Tuned OpenCL BLAS

Library for specialized dense and sparse matrix operations, and deep learning primitives.

BLISlab: A Sandbox for Optimizing GEMM

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

A library and extension that provides objects for scientific computing in PHP.

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Stretching GPU performance for GEMMs and tensor contractions.

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

DBCSR: Distributed Block Compressed Sparse Row matrix library

[Experimental] LLVM-accelerated Generic Linear Algebra Subprograms

Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

🧮 alphatensor matrix breakthrough algorithms + simd + rust.