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Stdlib is a standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

https://github.com/stdlib-js/stdlibTags | stdlib scientific-computing numerical-computing statistics maths |

Implementation | Javascript |

License | Apache |

Platform | OS-Independent |

Owl is an emerging numerical library for scientific computing and engineering. The library is developed in the OCaml language and inherits all its powerful features such as static type checking, powerful module system, and superior runtime efficiency. Owl allows you to write succinct type-safe numerical applications in functional language without sacrificing performance, significantly reduces the cost from prototype to production use. Owl's documentation contains a lot of learning materials to help you start. The full documentation consists of two parts: Tutorial Book and API Reference. Both are perfectly synchronised with the code in the repository by the automatic building system. You can access both parts with the following link.

matrix linear-algebra ndarray statistical-functions topic-modeling regression maths gsl plotting sparse-linear-systems scientific-computing numerical-calculations statistics mcmc optimization autograd algorithmic-differentation automatic-differentiation machine-learning neural-networkStdLib is based on Function as a Service ("server-less") architecture, popularized by AWS Lambda. You can use StdLib to build modular, scalable APIs for yourself and other developers in minutes without having to manage servers, gateways, domains, write documentation, or build SDKs. Your development workflow has never been easier - focus on writing code you love, let StdLib handle everything else. You can view services published by our large and growing developer community on the StdLib search page.

registry serverless faas nodejs node stdlib sdks aws-lambda api lib stdlib.com standard libraryWe provide scripts for benchmarking zend-stdlib using the PHPBench framework; these can be found in the benchmark/ directory.

The Meta.Numerics math and statistics library supports scientific computing on the .NET platform. It offers an object-oriented API for matrix algebra, advanced functions of real and complex numbers, signal processing, and data analysis.

math numerics ironpython maths matrix numerical-algorithms scienceSciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

scientific scientific-computing mathematicsSciRust is a Scientific computing library written in Rust programming language. The objective is to design a generic library which can be used as a backbone for scientific computing. Its current areas of focus includes Matrices, Linear algebra, Statistics, and Signal processing.

scientific computing algebra matrixNumPy is the fundamental package needed for scientific computing with Python. Numerical Python adds a fast and sophisticated N-dimensional array facility to the Python language. NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

scientific scientific-computing mathematics n-arrayGosl is a Go library to develop Artificial Intelligence and High-Performance Scientific Computations. The library tries to be as general and easy as possible. Gosl considers the use of both Go concurrency routines and parallel computing using the message passing interface (MPI). Gosl has several modules (sub-packages) for a variety of tasks in scientific computing, image analysis, and data post-processing.

scientific-computing visualization linear-algebra differential-equations sparse-systems plotting mkl parallel-computations computational-geometry graph-theory tensor-algebra fast-fourier-transform eigenvalues eigenvectors hacktoberfest machine-learning artificial-intelligence optimization optimization-algorithms linear-programmingArmadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

linear-algebra matrix matrix-functions linear-algebra-library statistics matlab blas lapack hpc scientific-computing mkl machine-learning armadillo openmp gaussian-mixture-models cpp11 vector sparse-matrix expression-template matrix-factorizationJulia is a high-level, high-performance dynamic language for technical computing. The main homepage for Julia can be found at julialang.org. This is the GitHub repository of Julia source code, including instructions for compiling and installing Julia, below. New developers may find the notes in CONTRIBUTING helpful to start contributing to the Julia codebase.

julia julia-language programming-language scientific-computing high-performance-computing numerical-computation machine-learningJulia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. This computation is automatically distributed across all available compute nodes, and the result, reduced by summation (+), is returned at the calling node.

language programming-language statistical-language statistics technical-computingColt distribution consists of several free Java libraries bundled under one single uniform umbrella. Namely the Colt library, the Jet library, the CoreJava library, and the Concurrent library. It provides support for resizable arrays, dense, sparse matrices, histogramming functionality, Random Number Generators etc.

math math-library java-collection library map utility scientific technical-computingScientific and statistical computing in JavaScript.

science statistics mathematicsThe Julia base package is pretty big, although at the same time, there are lots of other packages around to expand it with. The result is that on the whole, it is impossible to give a thorough overview of all that Julia can do in just a few brief exercises. Therefore, I had to adopt a little 'bias', or 'slant' if you please, in deciding what to focus on and what to ignore. Julia is a technical computing language, although it does have the capabilities of any general purpose language and you'd be hard-pressed to find tasks it's completely unsuitable for (although that does not mean it's the best or easiest choice for any of them). Julia was developed with the occasional reference to R, and with an avowed intent to improve upon R's clunkiness. R is a great language, but relatively slow, to the point that most people use it to rapid prototype, then implement the algorithm for production in Python or Java. Julia seeks to be as approachable as R but without the speed penalty.

julia learning-julia language learning learning-by-doing julia-language julialang data-science statistics technical-computing hpc scientific-computingBuckleScript leverages the existing OCaml compiler and toolchain to produce JavaScript that closely resembles the original OCaml. It isn't a new language. It simply takes OCaml, a fast, pragmatic and typed language, and makes it compile to clean, readable and performant JavaScript code. This allows the users to write in an industrial-strength language while using the existing, familiar JavaScript tools (npm/yarn, bundlers, minifiers, devtools, etc.) and accessing the vast ecosystem from both JavaScript and OCaml.

bucklescript alt-js compiler ocaml stdlib functional-programming ocaml-to-javascriptThe GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.

math mathematics numerical scientific algorithms random-numberThe University of California holds the copyright on all BOINC source code. By submitting contributions to the BOINC code, you irrevocably assign all right, title, and interest, including copyright and all copyright rights, in such contributions to The Regents of the University of California, who may then use the code for any purpose that it desires. BOINC is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

boinc distributed-computing volunteer-computing high-performance-computing citizen-science scientific-computing grid-computing science high-throughput-computing c-plus-plusruby-gsl is a port of the GNU Scientific Library (GSL) to the Ruby programming language. The GNU Scientific Library is a collection of routines for numerical computing. Ruby is an interpreted scripting language for quick and easy object-oriented programm

Gridcoin is a POS-based cryptocurrency that rewards users for participating on the BOINC network. Gridcoin uses peer-to-peer technology to operate with no central authority: managing transactions, issuing money and contributing to scientific research are carried out collectively by the network.

cryptocurrency digital-currency decentralized p2pThe Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

machine-learning framework c-sharp nuget visual-studio statistics unity3d neural-network support-vector-machines computer-vision image-processing ffmpeg
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