Simple matrix utility
MatrixLib.js is a JavaScript simple matrix calculation library.
Simple matrix class
> Simple matrix table for react
Simple matrix utilities (JS only)
Convenient, simple fetch wrapper for Matrix Client-Server API
`fleuret` is a simple Matrix class for JavaScript.
Simple matrix and vector operations.
This is a simple matrix library.
Matrix Client-Server SDK for Javascript
Javascript Matrix and Vector library for High Performance WebGL apps
Matrix manipulation and computation library
A simple matrix maths library written in Node.js
Visualize relationships or network flow with an aesthetically-pleasing circular layout.
WebAssembly bindings of the matrix-sdk-crypto encryption library
Welcome to the [Node.js] binding for the Rust [`matrix-sdk-crypto`] library! This binding is part of the [`matrix-rust-sdk`] project, which is a library implementation of a [Matrix] client-server.
2d transformation matrix functions written in ES6 syntax. Tree shaking ready!
Simple, EventEmitter API for WebSockets (browser)
Canvas for Node.js with skia backend
simple matrix-based octree
Filter that lets you change RGBA via a 5x4 matrix transformation
matrix for scena
JS/TS SDK for interacting with Matrix events
Search and Rewrite code at large scale using precise AST pattern
Simple, updatable matrix object with named rows/columns.
MatRuby provides you ways of matrices calculations.
A simple DSL for expressing and evaluating basic Matrix transformations and arithmetic operations
Simple Ruby wrapper for the Google Distance Matrix API.
An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.
An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.
Barcode1D is a pure Ruby gem for handling many kinds of 1-dimensional barcodes. Implemented are Code 128, Code 3 of 9, Code 93, Code 11, Codabar, Interleaved 2 of 5, COOP 2 of 5, Matrix 2 of 5, Industrial 2 of 5, IATA 2 of 5, PostNet, Plessey, MSI (Modified Plessey), EAN-13, EAN-8, UPC-A, UPC-E, UPC Supplemental 2, and UPC Supplemental 5. Patterns are created in either a simple format of bars and spaces or as a run-length encoded string. This only generates and decodes the patterns; actual display or reading from a device must be implemented by the programmer.
A Ruby gem for vector and matrix operations. Provides methods to calculate: - Matrix determinant: Determinant(matrix) input: matrix - Array of arrays size of nxn output: res[Int] - simple Integer - Scalar product of vectors scalar_prod(a, b) input: a[Array], b[Array]- vectors a and b output: res[Int] - simple Integer as a result of scalar prod - Cross product for 3D vectors cross_prod(a, b) input: a[Array], b[Array] - vectors a and b with dimension n = 3; output: res[Array] - vector with the size = 3 (its dimension) as a result of cross prod - Help function help() output: String with info about gem funcs Includes comprehensive error handling and input validation. Designed for educational use and basic linear algebra computations. Ruby-гем для операций с векторами и матрицами. Предоставляет методы для вычисления: - Определителя матрицы Determinant(matrix) input: matrix - матрица (массив массивов) размера nxn output: res[Int] - целое число - Скалярного произведения векторов scalar_prod(a, b) input: a[Array], b[Array] - векторы (массивы) a и b output: res[Int] - целое число как результат скалярного произведения - Векторного произведения для 3D векторов cross_prod(a, b) input: a[Array], b[Array] - векторы (массивы) a и b размером n = 3; output: res[Array] - вектор (массив) с размером = 3 (его размерность) как результат векторного произведения векторов - Функция "помощь" help() output: Строка с информацией про математические методы гема Включает обработку ошибок и валидацию входных данных. Разработан для образовательных целей и базовых вычислений линейной алгебры.
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