Sparse matrix library
Sparse Matrix TypeScript Implementation.
Large-scale sparse matrix factorization for Node.js
A generalized, sparse-matrix quantum simulation library designed specifically for game developers.
Scalable kmeans clustering algorithm in js using objects as input vectors, tailor made for sparse matrix
Subset of the University of Florida sparse matrix collection
Bitfield that allocates a series of small buffers to support sparse bits without allocating a massive buffer
A high-performance, sparse-matrix quantum simulator with unlimited qubit support, designed for NISQ-era algorithm simulation in Node.js.
Javascript Matrix and Vector library for High Performance WebGL apps
Matrix Client-Server SDK for Javascript
Curated collection of data structures for the JavaScript/TypeScript.
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.
Some git helpers that changesets use to get information
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.
Distributed matrix
2d transformation matrix functions written in ES6 syntax. Tree shaking ready!
Sparse array implementation in JS with no dependencies
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
A sparse array optimised for low memory whilst still being fast
A library to do linear algebra with sparse matrix
Spare matrix data structure for for deep_causality crate.
Sparse matrix types for the ferrolearn ML framework
Structural decomposition of sparse matrices into block triangular form using graph algorithms
Sublinear-time solver for RuVector: O(log n) to O(√n) algorithms for sparse linear systems, PageRank, and spectral methods
Sparse matrix module for SciRS2 (scirs2-sparse)
sparerse-rs: sparse matrix computation written in rust
High-performance sublinear-time solver for asymmetric diagonally dominant systems
Sparse tensor operations for ToRSh with SciRS2 integration
Sparse-matrix DOK implementations.
Extensions and support for linear algebra in DataFusion
A sparse matrix implementation of Whittaker-Eilers smoothing and interpolation
Build a sparse matrix from dense matrix
Large-scale sparse matrix factorization for Ruby
CSR matrix implementation for Ruby. https://github.com/Team-Aqua/Matrix-Library
Sparse matrix implementations (just Yale currently) in pure Ruby.
A thread-safe two dimensional sparse matrix data structure with C, Java and Ruby bindings. It was created to make loading and accessing medium sized (10GB+) matrices in boxed languages like Java/Scala or Ruby easier.
A thread-safe two dimensional sparse matrix data structure with C, Java and Ruby bindings. It was created to make loading and accessing medium sized (10GB+) matrices in boxed languages like Java/Scala or Ruby easier.
Native implementation of Dijkstra algorithm for finding the shortest path between two vertices in a large, sparse graphs. Underlying algorithm is implemented in C using a priority queue. Edges are represented using linked lists rather than an adjacency matrix to reduce memory footprint when operating on very large graphs where the average number of edges between nodes is relatively small (e.g. < 1/10 the number of nodes). See https://en.wikipedia.org/wiki/Dijkstra's_algorithm for additional information.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.