matrix-multiplication

A collection of algorithms and data structures

Acceleration package for neural networks on multi-core CPUs

BLAS-like Library Instantiation Software Framework

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

Fast Clojure Matrix Library

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

Tuned OpenCL BLAS

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

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

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

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

Stretching GPU performance for GEMMs and tensor contractions.

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm

[Experimental] LLVM-accelerated Generic Linear Algebra Subprograms

DBCSR: Distributed Block Compressed Sparse Row matrix library

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.

N-dimensional matrix class for Rust

🧮 alphatensor matrix breakthrough algorithms + simd + rust.