Library for easy work with Two-Dimensional Arrays
Javascript Matrix and Vector library for High Performance WebGL apps
SheetJS Spreadsheet data parser and writer
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.
Javascript Matrix and Vector library for High Performance WebGL apps
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!
Filter that lets you change RGBA via a 5x4 matrix transformation
Canvas for Node.js with skia backend
matrix for scena
Search and Rewrite code at large scale using precise AST pattern
JSON grammar for tree-sitter
Matrix Widget API SDK
YAML grammar for tree-sitter
Streaming http in the browser
Python grammar for tree-sitter
React bindings for MobX. Create fully reactive components.
Bash grammar for tree-sitter
Chart.js module for creating matrix charts
JavaScript grammar for tree-sitter
oidc-token-hash validates (and generates) ID Token `_hash` claims such as `at_hash` or `c_hash`
SDK for applications using the Matrix protocol
Recommendations for Ruby using collective matrix factorization
Immutable persistent matrix using Hamster that aims to copy as much of the API from Ruby's native Matrix class as possible
Rack middleware that populates the params variable with the contents of matrix parameters in a URL
A gem to automate using gl-matrix with Rails 3
Just an example gem
A gem to automate using gl-matrix with Rails 3
A native Ruby C extension providing parallelized matrix and neural-network style tensor operations.
Kmat is a Ruby gem for matrix operations. Kmat uses BLAS/LAPACK as back-end.
Proper related posts plugin for Jekyll - uses document correlation matrix on TF-IDF (optionally with Latent Semantic Indexing). Each document is tokenized and stemmed, every word found is treated as keyword for analysis (except for some stop words). TF-IDF matrix for the whole site is calculated (including extra provided weights), then if given accuraccy is lower than 1.0, LSI algorithm is used to compute new simplified vector space. Document correlation matrix is created using dot product of the matrix and its transpose. For each of the post' related documents are inserted into priority queue (sorted by score from document correlation matrix), assuming the score is greater than minimal required score. Selected few bests related posts are retrieven from the queue. Liquid template for each post is rendered and <related-posts /> is replaced with the outcomes of algorithm.
Allows you to easily create and format plain text tables, useful when working with the terminal or when you want to quickly print formatted tables to a dot-matrix printer.
Adds useful methods to the Matrix class
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