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

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.

DBCSR: Distributed Block Compressed Sparse Row matrix library

N-dimensional matrix class for Rust

BELLA: a Computationally-Efficient and Highly-Accurate Long-Read to Long-Read Aligner and Overlapper

Parallel Matrix Multiplication Using OpenMP, Phtreads, and MPI

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

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Cayley hashing as in "Navigating in the Cayley Graph of SL₂(𝔽ₚ)"

M4RI is a library for fast arithmetic with dense matrices over GF(2)

The foundation for any Machine Learning or Deep Learning Framework. Simply put, it is more like a decentralized calculator, comparable to a decentralized version of the IBM machines the were used to launch the Apollo astronauts. Apart from building ML/DL frameworks, a lot more can be done on it, such as maximizing yield on your favorite defi protocols like Compound and more!

This is a simple project that shows how to multiply two 3x3 matrixes in Verilog.

Matrix multiplication using c++11 threads

Extensions to simplify the use of the LinearAlgebra framework on iOS 8 and OS X 10.10 utilising Swift operator overloading