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Java Matrix Benchmark is a tool for evaluating Java linear algebra libraries for speed, stability, and memory usage.

Keigen is a Kotlin (Android) library for fast matrix operations and linear algebra built on a C++ foundation

# XFEM_Fracture2D ### Description This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple crack propagations in a 2D linear-elastic solid based on the principle of minimum potential energy. The extended finite element method is used to discretise the so... Read more

Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics

Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median, Hulls, Machine Learning, multithreading implementation...

Probabilistic state estimation for robotics applications. Bayes filters include Kalman, Markov chains; Gaussian, uniform and discrete mapping probability distributions representations; Distribution sampling, marginalization, multiplication; Distribution composition independent pairs and Bayes rul... Read more

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Solidity Matrix Environment (SolMATe) - Core math + linear algebra libraries for Ethereum smart contracts. Enables machine learning directly on the blockchain.

Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)

Specialized Parallel Linear Algebra, providing distributed GEMM functionality for specific matrix distributions with optional GPU acceleration.