Linear Algebra
Showing 21 of 21 projects
The fundamental package for scientific computing with Python, providing powerful N-dimensional arrays and mathematical functions.
Comprehensive cheatsheets and refreshers covering all key concepts from Stanford's CS 229 Machine Learning course.
A cheat-sheet that translates mathematical notation into JavaScript code examples for developers.
A header-only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A comprehensive set of numeric libraries for Go, providing matrices, statistics, optimization, and graph algorithms.
An optimized open-source implementation of the Basic Linear Algebra Subprograms (BLAS) library for high-performance scientific computing.
A TypeScript/JavaScript library for visualization and creative-coding with lightweight geometry and canvas utilities.
A comprehensive linear algebra library for Rust with support for statically-sized and dynamically-sized matrices.
A comprehensive Rust machine learning framework focused on preprocessing and classical algorithms, akin to scikit-learn.
A templatized header-only C++ implementation of the Python NumPy library for numerical computing.
An open-source numerical library for .NET and Mono providing algorithms for scientific computing, linear algebra, statistics, and more.
A numerical processing library for Scala, providing generic, clean, and powerful linear algebra and scientific computing capabilities.
A highly optimized, header-only 2D/3D graphics math library for C, providing fast and ergonomic functions for graphics programming.
A portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries.
A pure Rust linear algebra library focusing on portability, correctness, and performance with both low-level routines and high-level wrappers.
A comprehensive, self-contained mathematics library for PHP with no external dependencies, covering algebra, statistics, linear algebra, and numerical analysis.
A comprehensive Go scientific library for numerical simulations, linear algebra, differential equations, and computational geometry.
A portable mixed-precision math library with 2,000+ SIMD kernels for 15+ numeric types across x86, Arm, RISC-V, and WebAssembly.
An all inline SIMD C++ linear algebra library optimized for games and graphics applications.
A curated list of awesome software, libraries, and tools for numerical analysis and scientific computing.
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