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

Tuned OpenCL BLAS

Fast Clojure Matrix Library

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

BLISlab: A Sandbox for Optimizing GEMM

Multi-Threaded FP32 Matrix Multiplication on x86 CPUs

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.

Stretching GPU performance for GEMMs and tensor contractions.

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

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm

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

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

DBCSR: Distributed Block Compressed Sparse Row matrix library

Accelerated General (FP32) Matrix Multiplication from scratch in CUDA

[Experimental] LLVM-accelerated Generic Linear Algebra Subprograms