Numerical Computing
Showing 36 of 144 projects
Type-safe n-dimensional arrays (tensors) in Scala 3 with compile-time shape, axis label, and data type validation.
A Common Lisp library for regular array parallelism with SIMD and thread-level optimization, focusing on ease of use over peak performance.
An arbitrary-precision decimal floating-point arithmetic package for Go, using a pure decimal representation for performance.
A Common Lisp library providing functions and macros for manipulating arrays and performing numerical calculations.
A generic Swift math framework for function solving, optimization, matrix algebra, complex numbers, and big integers with performance optimizations.
A pure Fortran 2003+ library for portable, parametrized numerical types, format strings, and number-string conversions.
A Scala Native library implementing BLAS (Basic Linear Algebra Subprograms) via CBLAS for high-performance linear algebra operations.
A JRuby-based multidimensional array library inspired by NumPy and NArray, providing scientific computing capabilities with linear algebra and statistics.
A high-performance algorithm for converting floating-point numbers to strings with correctness for JSON formatting.
A TensorFlow wrapper for the D programming language, providing C API bindings and integration with Mir for numerical computing.
A minimal matrix class and linear algebra module for MicroPython, offering NumPy-like functionality for embedded systems.
A D library providing advanced random number generators with performance improvements and new statistical distributions.
A V programming language module for creating and training multi-layer neural networks with backpropagation.
A NumPy-like multidimensional array library for Common Lisp with strides, offsets, and customizable storage.
Pascal library for arbitrary precision BCD floating point arithmetic with maximal decimal accuracy.
A statistics library for the D programming language, balancing performance and ease of use.
A Delphi library for arbitrary-precision integer and floating-point arithmetic with operator overloading and chaining support.
A comprehensive vector, matrix, complex number, and quaternion math library for Lua 5.1 through 5.4 and LuaJIT.
A Swift library for high-performance numerical computing and matrix operations on Apple platforms.
A Go library for precise fractional arithmetic with chainable operations and float64 conversion.
A high-level Common Lisp linear algebra library built on BLAS and LAPACK with a user-friendly interface.
R package providing a seamless interface to call Octave and MATLAB code from R.
A lightweight matrix library for MicroPython offering basic arithmetic, determinant, inverse, and NumPy-like slicing.
A physical units and unit-aware mathematical system built on JAX for brain dynamics modeling and general scientific computing.
Crystal language wrapper for the FFTW 3 library, enabling high-performance Fourier transforms.
OCaml bindings to special math and probability functions from the Cephes library.
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+) without CGo dependencies.
A modules-native C++ library providing vector, matrix, quaternion, and complex math with templated precision.
An OCaml library for sparse linear expressions, generic vectors/matrices, and a dual simplex solver for linear optimization.
A single-header, dependency-free JIT compiler for mathematical expressions in C++.
An Ada 2012 package providing a modern interface to BLAS for dense linear algebra operations with slice/block views.
A D programming language port of Godot Engine's linear algebra library with identical semantics.
A Go interface for modeling mathematical programs like convex optimization problems with composable operations and clear error handling.
An Elixir module providing the mathematical constant tau (τ = 2π) for more natural circular calculations.
A Python machine learning library with CPU and GPU support for tensor operations and model development.
A Crystal library for repeatable pseudo-random sampling and CDF calculations across many probability distributions.
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