Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

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

Linear Algebra for Java

oj! Algorithms

High-performance object-based library for DLA computations

TensorFlow C API Class Wrapper in Server Side Swift.

The V Tensor Library

A flexible and fast matrix, transform and geometry library.

Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)

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.

Matrix Library for JavaScript

Low-cost dot matrix

A c++ header library for matrix operation inspired Numpy Scipy, MATLAB only using Eigen.

Lightweight header-only matrix library (C++) for numerical optimization and machine learning. Contact me if there is an exciting opportunity.

Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.

Bandicoot: C++ library for GPU linear algebra & scientific computing - https://coot.sourceforge.io

Halcyon is a Matrix bot library created with the intention of being easy to install and use.

A massively parallel library for computing the functions of sparse matrices.