Numerical Computing
Showing 36 of 144 projects
A lightweight, header-only C++ tensor algebra framework delivering bare-metal performance for small matrix/tensor operations via compile-time optimizations.
Rust bindings for ArrayFire, a high-performance parallel computing library with support for CUDA, OpenCL, and CPU backends.
A pure Swift library for arbitrary-precision integer arithmetic, providing BigUInt and BigInt types.
A C++ reference implementation of the Dragonbox algorithm for fast, correct, and shortest float-to-string conversion.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
A JavaScript library for precise rational number arithmetic using BigInt, avoiding floating-point inaccuracies.
April compiles a subset of the APL programming language into Common Lisp, enabling expressive array programming within Lisp environments.
A Swift library providing NumPy-like matrix operations and machine learning algorithms for iOS/macOS development.
A command-line tool for neural network inference using Unix pipeline philosophy.
A C++ header-only library of statistical distribution functions with compile-time computing capabilities.
A numpy-like fast vector module for MicroPython and CircuitPython, written in C for embedded systems.
A header-only C++ template library providing custom arithmetic plug-in types for mixed-precision algorithm development and optimization.
A high-performance matrix library for Elixir/Erlang with C and CBLAS backend, optimized for speed and large-scale operations.
Arbitrary precision decimal arithmetic library for Elixir, representing numbers exactly with sign, coefficient, and exponent.
A Julia package providing efficient, type-safe implementations of numerous distance metrics and divergences between vectors and matrices.
A Ruby library for fast processing and manipulation of multi-dimensional numerical arrays, similar to NumPy's ndarray.
CMake scripts for painless cross-platform usage of SuiteSparse and METIS libraries, including precompiled Windows binaries.
A single-file library providing functional programming utilities like map, filter, fold, and set operations for modern Fortran.
Python library for multilinear algebra operations and tensor factorizations with support for dense and sparse tensors.
A purely functional artificial neural network library for Haskell, enabling rapid prototyping through higher-order function composition.
A lightweight Swift library for tensor calculations with TensorFlow-like APIs, enabling ML model inference.
A lightweight JavaScript library for data analysis with CSV reading, statistical methods, and chart plotting.
OCaml bindings for TensorFlow, enabling machine learning and neural network development in a functional programming environment.
An R package that embeds Julia for high-performance numerical computing, enabling seamless interoperability between R and Julia.
A high-performance Clojure math library optimized for primitive operations, featuring statistics, random numbers, vectors, matrices, and numerical methods.
A C++ library providing integer, rational, floating-point, complex, and interval number types with extended range and precision beyond built-in types.
A Common Lisp library for matrix algebra with pure Lisp and accelerated backends via BLAS/LAPACK.
Fixed-size decimal numbers implemented in pure Rust for exact-precision financial and crypto calculations.
A comprehensive JavaScript library for complex number arithmetic with a full suite of mathematical functions.
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 Python library that enables mathematical operations on JAX pytrees, allowing numerical algorithms to work directly with complex nested data structures.
A collection of mathematical functions for Elixir focused on statistics, linear algebra, and machine learning.
A high-performance, zero-allocation fixed-point decimal library for Go, optimized for financial applications.
A Clojure library providing data-frames and arrays through Python's pandas and numpy.
A Swift library providing numpy-like multi-dimensional data structures and operations for numerical computing.
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