Pseudo random number generator for matrix coordinates
A programable, random matrix panel.
Pairwise test matrix generator with constraint support and GitHub Actions integration
Javascript Matrix and Vector library for High Performance WebGL apps
Matrix Client-Server SDK for Javascript
Matrix manipulation and computation library
WebAssembly bindings of the matrix-sdk-crypto encryption library
Visualize relationships or network flow with an aesthetically-pleasing circular layout.
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!
Generate random numbers from various distributions.
matrix for scena
Canvas for Node.js with skia backend
Search and Rewrite code at large scale using precise AST pattern
Filter that lets you change RGBA via a 5x4 matrix transformation
Fastest random ID and random string generation for Node.js
TypeScript definitions for d3-random
JSON grammar for tree-sitter
YAML grammar for tree-sitter
Matrix Widget API SDK
URL and cookie safe UIDs
Python grammar for tree-sitter
Chart.js module for creating matrix charts
Use the random function in CSS
Random matrix theory: Marchenko-Pastur, Wigner semicircle, eigenvalue statistics
Rust port of FLAIR (Factored Level And Interleaved Ridge) — lightweight time series forecasting, no_std/wasm32 compatible
A command line app able to generate a random word search grid n x n (n: number of rows/number of columns) and find all the words inside it. - The grid letters must be uppercase. - The valid words are defined inside the file dict.txt - The minimum size of a valid word is 3 characters. - The program must detect all possible directions: horizontal, vertical and diagonal. (The words can be on reverse order)
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit supports Linear / Kernel Support Vector Machine, Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization. Note that the SVMKit has been deprecated and has been renamed to Rumale.
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