Numerical Computing
Showing 36 of 144 projects
A Python package providing gradient-based optimizers specifically designed for machine learning scenarios.
A cross-platform .NET wrapper for Intel MKL, providing high-performance matrix algebra, optimization, and statistics functions.
A core scientific computing library for Crystal providing n-dimensional tensors, linear algebra, GPU acceleration, and automatic differentiation.
A C++11 header-only FFT library with support for multidimensional arrays, DCT/DST, and optimized performance for large prime factors.
A modern Fortran library for date and time manipulation with millisecond precision.
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 typed, descriptive APIs.
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.
An extensive math expression evaluator library for JavaScript and Node.js with units, functions, and constants.
High-performance matrix and numerical computing library for Delphi and Free Pascal with linear algebra, ML primitives, and optimized kernels.
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.
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.
A .NET library for arbitrary-precision rational number arithmetic with seamless integration and advanced features.
Rust wrappers for the LAPACK Fortran library, enabling linear algebra computations in Rust applications.
A lightweight, platform-independent tensor library with autograd for the JVM, accelerated by OpenCL.
An Elixir library for 2D and 3D vector arithmetic, matrices, and quaternions for graphics and simulation.
Rust bindings and wrappers for BLAS (Basic Linear Algebra Subprograms) with generic trait-based interfaces.
A high-performance Rust library for numerically solving ordinary, differential-algebraic, delay, and stochastic differential equations.
Kernex extends JAX with kmap and kscan for differentiable stencil computations, enabling efficient array transformations.
An Elixir library implementing parallel matrix multiplication and utilities for matrix operations, used for benchmarking concurrent code.
A Common Lisp library providing bit vector arithmetic, type conversions, and measurement functions.
A CFFI-based Common Lisp library for high-performance Python interoperability, enabling direct calls to Python functions and libraries.
SIMD-powered numerical array operations for Common Lisp via CFFI, providing high-performance mathematical computations.
A Common Lisp library that enables calling Python code and libraries directly from Lisp programs.
A Julia package implementing backpropagation artificial neural networks for machine learning tasks.
An efficient arrayed vector math library for Common Lisp with multi-threading and CUDA support.
A Crystal linear algebra library providing a high-level interface to LAPACK routines for matrix operations.
A transpiler that converts Fortran 77 source code into equivalent Go code, preserving functionality and comments.
A JavaScript toolkit for statistical analysis, including MCMC sampling, bootstrapping, and linear algebra.
A high-performance 128-bit fixed-point decimal number library for Go, designed for financial calculations.
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