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Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with different data types like numbers, big numbers, complex numbers, fractions, units, and matrices.

math complex-numbers matrices units bignumbers expression-evaluator mathematics functions numeric algebra parser expression number bignumber complex fraction matrix unitBesides its obvious scientific uses, NumJs can also be used as an efficient multi-dimensional container of generic data. NumJs is licensed under the MIT license, enabling reuse with almost no restrictions.

linear-algebra ndarray nodejs array multi multidimensional dimension higher image volume webgl tensor matrix linear algebra science numerical computing stride shape numpyThis project provides a command line tool called nms that recreates the famous data decryption effect seen on screen in the 1992 hacker movie Sneakers. For reference, you can see this effect at 0:35 in this movie clip. This command works on piped data. Pipe any ASCII or UTF-8 text to nms, and it will apply the hollywood effect, initially showing encrypted data, then starting a decryption sequence to reveal the original plaintext characters.

hacker movie effect sneakers matrix terminalA simple chat bridge Letting people be where they want to be. Bridges between a growing number of protocols. Click below to demo. Gitter | IRC | Discord | Matrix | Slack | Mattermost | XMPP | Twitch | Zulip | And more...

mattermost xmpp telegram gitter hipchat rocketchat discord irc bridge api slack matrix steam twitch ssh-chat zulipbwip-js is a translation to native JavaScript of the amazing code provided in Barcode Writer in Pure PostScript. The translated code can run on any modern browser or JavaScript-based server framework. The software has encoding modules for over 90 different barcode types and standards. All linear and two-dimensional barcodes in common use (and many uncommon ones) are available. An exhaustive list of supported barcode types can be found at the end of this document.

bar-code generator barcode node react browser itf gs1 upc ean pdf417 matrix data datamatrix qrcode databar code128 code93 code39LibRec (http://www.librec.net) is a Java library for recommender systems (Java version 1.7 or higher required). It implements a suit of state-of-the-art recommendation algorithms, aiming to resolve two classic recommendation tasks: rating prediction and item ranking. A movie recommender system is designed and available here.

recommender-systems recommendation-algorithms collaborative-filtering matrix-factorization tensor-factorization probabilistic-graphical-models recommender systems factorization matrix tensor collaborative filtering sparseLinear algebra library for the Rust programming language.

linear-algebra matrix vector algebraSurprise is a Python scikit building and analyzing recommender systems that deal with explicit rating data. The name SurPRISE (roughly :) ) stands for Simple Python RecommendatIon System Engine.

recommender systems recommendation svd matrix factorizationThe core packages of the gonum suite are written in pure Go with some assembly. Installation is done using go get.The gonum packages use a variety of build tags to set non-standard build conditions. Building gonum applications will work without knowing how to use these tags, but they can be used during testing and to control the use of assembly and CGO code.

scientific-computing data-analysis matrix statistics graphModular multidimensional arrays for JavaScript.ndarrays can be transposed, flipped, sheared and sliced in constant time per operation. They are useful for representing images, audio, volume graphics, matrices, strings and much more. They work both in node.js and with browserify.

ndarray array multi multidimensional dimension higher image volume webgl tensor matrix linear algebra science numerical computing stride shapeLinear algebra library for the Rust programming language.

linear-algebra matrix vector algebraEigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. It supports all matrix sizes, from small fixed-size matrices to arbitrarily large dense matrices, and even sparse matrices. It supports all standard numeric types, including std::complex, integers, and is easily extensible to custom numeric types. It also supports various matrix decompositions and geometry features.

linear-algebra vectors geomentry matrix algorithmA high performance linear algebra library, written in JavaScript and optimized with C++ bindings to BLAS. The documentation is located in the wiki section of this repository.

blas matrix vector linear-algebra high-performance-computing machine-learning linear algebraA linear algebra and mathematics library for computer graphics. Not all of the functionality has been implemented yet, and the existing code is not fully covered by the testsuite. If you encounter any mistakes or omissions please let me know by posting an issue, or even better: send me a pull request with a fix.

linear-algebra matrix vector computer-graphics simd simd-vector mathematics-libraryOwl 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-networkNeanderthal is a Clojure library for fast matrix and linear algebra computations based on the highly optimized native libraries of BLAS and LAPACK computation routines for both CPU and GPU.. Read the documentation at Neanderthal Web Site.

clojure-library matrix gpu gpu-computing gpgpu opencl cuda high-performance-computing vectorization api matrix-factorization matrix-multiplication matrix-functions matrix-calculationsOpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications. GLM provides classes and functions designed and implemented with the same naming conventions and functionality than GLSL so that anyone who knows GLSL, can use GLM as well in C++.

opengl mathematics vector matrix quaternion simd cpp cpp-library header-onlySciRust 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 matrixLow-Rank and Sparse tools for Background Modeling and Subtraction in Videos. The LRSLibrary provides a collection of low-rank and sparse decomposition algorithms in MATLAB. The library was designed for motion segmentation in videos, but it can be also used (or adapted) for other computer vision problems (for more information, please see this page). Currently the LRSLibrary offers more than 100 algorithms based on matrix and tensor methods. The LRSLibrary was tested successfully in several MATLAB versions (e.g. R2014, R2015, R2016, R2017, on both x86 and x64 versions). It requires minimum R2014b.

rpca matrix-factorization matrix-completion tensor-decomposition tensor matlab matrix subspace-tracking subspace-learningPyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers. threshold is added in version 0.9 for real value prediction.

machine-learning confusion-matrix matrix statistics statistical-analysis accuracy ml ai mathematics data-mining data-analysis classification classifier data-science data neural-network multiclass-classification deep-learning artificial-intelligence deeplearning
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