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The Wayback Machine - https://web.archive.org/web/20200723141820/https://github.com/topics/matrix-library
Here are
123 public repositories
matching this topic...
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
Updated
Jul 21, 2020
Java
An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
Updated
Jul 23, 2020
TypeScript
BLAS-like Library Instantiation Software Framework
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
High-performance object-based library for DLA computations
Updated
Jul 5, 2020
Fortran
TensorFlow C API Class Wrapper in Server Side Swift.
Updated
Jul 7, 2020
Swift
A flexible and fast matrix, transform and geometry library.
Matrix Library for JavaScript
Updated
Jan 17, 2017
JavaScript
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.
Updated
Aug 20, 2019
TypeScript
Lightweight header-only matrix library (C++) for numerical optimization and machine learning. Contact me if there is an exciting opportunity.
A c++ header library for matrix operation inspired Numpy Scipy, MATLAB only using Eigen.
Bandicoot: GPU accelerator add-on for the Armadillo C++ linear algebra library
Another Matrix Library using C++11 features to be small and lightweight but efficient
A better architected Matrix library in c++
Matrix computation library in Swift
Updated
Oct 20, 2017
Swift
A fully generic Swift vector & matrix library
Updated
Sep 1, 2018
Swift
A massively parallel library for computing the functions of sparse matrices.
Updated
Jun 26, 2020
Fortran
Numpy for swift through Accelerate
Updated
Mar 1, 2017
Swift
A fast vector/matrix library
Numeric, Vector, Quaternion, and Matrix functions, consistent across multiple programming languages
Efficient matrix operations implemented in C++.
generic C++ containers; matrix, triangle matrix, crs sparse matrix, etc.
Header only lazy evaluation tensor math library with multi-backend parallel eager execution support (TBB, OpenMP, Parallel STL and in the future CUDA and OpenCL)
Nomad - Lightweight parallel matrix library
Standard ML tensor/multidimensional array library
Updated
May 27, 2020
Standard ML
Linear Algebra: Vector and Matrix Implementations in C++
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