A collection of algorithms and data structures
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Updated
Jul 24, 2020 - Java
A collection of algorithms and data structures
Acceleration package for neural networks on multi-core CPUs
Fast Clojure Matrix Library
BLAS-like Library Instantiation Software Framework
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Tuned OpenCL BLAS
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
BLISlab: A Sandbox for Optimizing GEMM
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
[Experimental] LLVM-accelerated Generic Linear Algebra Subprograms
Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm
Stretching GPU performance for GEMMs and tensor contractions.
N-dimensional matrix class for Rust
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
BELLA: a Computationally-Efficient and Highly-Accurate Long-Read to Long-Read Aligner and Overlapper
A library and extension that provides objects for scientific computing in PHP.
Parallel Matrix Multiplication Using OpenMP, Phtreads, and MPI
MIRROR: M4RI is a library for fast arithmetic with dense matrices over GF(2)
Extensions to simplify the use of the LinearAlgebra framework on iOS 8 and OS X 10.10 utilising Swift operator overloading
Parallel Processing - Matrix Multiplication (Cannon, DNS, LUdecomp)
This is a simple project that shows how to multiply two 3x3 matrixes in Verilog.
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
A Collection some matrix manipulation algorithms
Minimalistic implementations of various algorithms for projects in machine learning and computer vision
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