Numerical Computing
Showing 23 of 95 projects
A cross-platform .NET wrapper for Intel MKL, providing high-performance matrix algebra, optimization, and statistics functions.
A high-performance, zero-allocation fixed-point decimal library for Go, optimized for financial applications.
A core scientific computing library for Crystal providing n-dimensional tensors, linear algebra, GPU acceleration, and automatic differentiation.
A modern Fortran library for date and time manipulation with millisecond precision.
A C++11 header-only FFT library with support for multidimensional arrays, DCT/DST, and optimized performance for large prime factors.
An in-memory machine learning library for Scala with a scikit-learn-like API, built on Breeze for parallel and distributed systems.
SIMD-enhanced array operations for F# that leverage CPU vector instructions for significant performance improvements.
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 comprehensive OCaml library for mathematical and statistical analysis with typed, descriptive APIs.
A Swift playground demonstrating how to use Apple's Accelerate framework for linear algebra operations like matrix multiplication and inversion.
An extensive math expression evaluator library for JavaScript and Node.js with units, functions, and constants.
A JavaScript library for exact arithmetic with real and complex numbers, avoiding floating-point precision errors.
A Python library for computing accurate sums and dot products, mitigating floating-point errors in numerical computations.
High-performance matrix and numerical computing library for Delphi and Free Pascal with linear algebra, ML primitives, and optimized kernels.
A small Clojure library for constructing and training neural networks using core.matrix.
A Ruby interface to the GNU Scientific Library (GSL) for numerical computing.
A Julia package providing multiple algorithms for non-negative matrix factorization, including multiplicative updates, ALS, coordinate descent, and separable NMF.
Rust wrappers for the LAPACK Fortran library, enabling linear algebra computations in Rust applications.
A .NET library for arbitrary-precision rational number arithmetic with seamless integration and advanced features.
An Elixir library for 2D and 3D vector arithmetic, matrices, and quaternions for graphics and simulation.
A lightweight, platform-independent tensor library with autograd for the JVM, accelerated by OpenCL.
Rust bindings and wrappers for BLAS (Basic Linear Algebra Subprograms) with generic trait-based interfaces.
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