Linear Algebra
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A Python module that adds a native quaternion dtype to NumPy for efficient 3D rotation and orientation calculations.
A pure Go 3D math library specialized for OpenGL graphics, with 32-bit and 64-bit float support.
A Swift library providing NumPy-like matrix operations and machine learning algorithms for iOS/macOS development.
Jupyter notebooks implementing Gilbert Strang's MIT linear algebra course (18.06) with Python examples.
A C++ header-only library of statistical distribution functions with compile-time computing capabilities.
A high-performance matrix library for Elixir/Erlang with C and CBLAS backend, optimized for speed and large-scale operations.
A Julia package providing efficient, type-safe implementations of numerous distance metrics and divergences between vectors and matrices.
CMake scripts for painless cross-platform usage of SuiteSparse and METIS libraries, including precompiled Windows binaries.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A V library for AI and high-performance scientific computing with pure-V BLAS/LAPACK implementations.
A functional programming library for JavaScript/Node.js focused on string processing, regular expressions, and linear algebra.
A Python library for representing and manipulating quaternions, designed for 3D animation and geometry.
A CPU and GPU-accelerated matrix library optimized for high-performance data mining operations.
A Common Lisp library for matrix algebra with pure Lisp and accelerated backends via BLAS/LAPACK.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
A high-level general-purpose D library providing containers, math, geometry, image/audio processing, and I/O for game and graphics development.
Open-source runtime that executes MATLAB syntax on CPU and GPU automatically, with cross-platform hardware support and no vendor lock-in.
A generic numerical library for D providing sparse tensors, linear algebra, and machine learning components.
A Rust binding for the GNU Scientific Library (GSL), providing access to numerical routines for scientific computing.
A collection of mathematical functions for Elixir focused on statistics, linear algebra, and machine learning.
A Swift library providing numpy-like multi-dimensional data structures and operations for numerical computing.
A Rust scientific library for high-performance numerical mathematics, including ODE/DAE solvers, linear algebra, special functions, and tensor calculus.
A cross-platform .NET wrapper for Intel MKL, providing high-performance matrix algebra, optimization, and statistics functions.
A Swift framework providing essential math constructs like vectors, matrices, complex numbers, quaternions, and polynomials.
A Go library implementing sparse matrix formats for linear algebra, compatible with Gonum and supporting scientific/ML applications.
A high-performance tensor library for the V programming language, providing n-dimensional data structures and linear algebra operations.
A core scientific computing library for Crystal providing n-dimensional tensors, linear algebra, GPU acceleration, and automatic differentiation.
A high-performance unified C++ framework implementing domain decomposition methods for solving large-scale elliptic PDEs on parallel computers.
A NumPy-like multi-dimensional array library for Swift with support for complex numbers and image processing.
A Swift library for numerical computing with numpy-like APIs and Jupyter-like playground notebooks.
A comprehensive OCaml library for mathematical and statistical analysis with descriptive, typed APIs.
A Swift playground demonstrating how to use Apple's Accelerate framework for linear algebra operations like matrix multiplication and inversion.
A symbolic math library and computer algebra system for Rust, providing symbolic differentiation, integration, equation solving, and more.
High-performance matrix and numerical computing library for Delphi and Free Pascal with linear algebra, ML primitives, and optimized kernels.
A Ruby interface to the GNU Scientific Library (GSL) for numerical computing.
A scientific library for the D programming language providing numerical routines and LAPACK bindings.
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