OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

BLAS-like Library Instantiation Software Framework

THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen

LAPACK development repository

Llama 2 Everywhere (L2E)

Tuned OpenCL BLAS

Fortran Standard Library

Python interface to GPU-powered libraries

Linear algebra in TypeScript.

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

Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

🤖 A portable, header-only, artificial neural network library written in C99

oneAPI Math Kernel Library (oneMKL) Interfaces

A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices.

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

oj! Algorithms

trying to collect all useful tutorials for famous C math and linear algebra libraries such as CBLAS, CLAPACK, GSL...

Next generation BLAS implementation for ROCm platform

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

Basic linear algebra subroutines for embedded optimization