Global optimization algorithms for Node.js
Quantum-inspired optimization algorithms with swarm-based circuit exploration for combinatorial and constraint problems
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
A library containing combinatorial optimization algorithms
Algorithms to help you parse CSS from an array of tokens.
Efficient interval scheduling and optimization algorithms with TypeScript support
Xml digital signature and encryption library for Node.js
numerical.ts is a comprehensive TypeScript library for linear algebra and various mathematical operations, including vector and matrix operations, eigenvalue calculations, optimization algorithms, parsing mathematical statements, complex numbers, and more
JWA implementation (supports all JWS algorithms)
Browser Compatible Object Hashing
Unconstrained funcion minimization in Javascript
various machine learning routines for node
Boyer-Moore-Horspool algorithms
Lightning fast hash functions for browsers and Node.js using hand-tuned WebAssembly binaries (MD4, MD5, SHA-1, SHA-2, SHA-3, Keccak, BLAKE2, BLAKE3, PBKDF2, Argon2, bcrypt, scrypt, Adler-32, CRC32, CRC32C, RIPEMD-160, HMAC, xxHash, SM3, Whirlpool)
Implementation of JSON Web Signatures
A JavaScript implementation of the JSON Object Signing and Encryption (JOSE) for current web browsers and node.js-based servers
Reusable geometry optimization algorithms and periodic geometry utilities for atomistic codes.
Package implements data structures and algorithms for processing various types of graphs
Parse CSS media query lists.
Parse CSS Cascade Layer names.
Types and schema that specs of the Markup languages for markuplint
a fast vite compression plugin
Solve CSS math expressions
JSON Web Token implementation (symmetric and asymmetric)
Simple implementation ant colony optimization algorithm.
Gem with an optimization algorithm framework who implements problems, algorithms and operators classes.
Heap, Priority Queue, Deque, Stack, Queue, Red-Black Trees, Splay Trees, sorting algorithms, and more
A gem to execute Variable Neighborhood Search algorithm in optimization problems
Lbfgsb.rb is a Ruby binding for L-BFGS-B that is a limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds on the variables.
You can use this gem to reduce the number of points in a complex polyline / polygon, making use of an optimized Douglas-Peucker algorithm. Ruby port of Simplify.js.
Provides a highly optimized implementation of the ThumbHash algorithm, a compact representation of an image placeholder for a smoother loading experience
Edit distance algorithms including Levenshtein, Restricted Edit (Optimal Alignment) and Damerau-Levenshtein distances, and Jaro & Jaro-Winkler similarity.
Evolve provides a simple and readable interface to make genetic algorithm optimization easy
Optimizes given JPEG and PNG images or images in given folder. Uses several encoders for achieving the best possible lossless compression ratio and tries to employ the most advanced methods such as JPEG algorithmic encoding if available or PNG transparent pixels stripping and automatic color reduction.
A complete Ruby port of the TypeScript FSRS v6.0 algorithm for spaced repetition scheduling. Implements exponential difficulty, linear damping, and 21-parameter optimization for optimal review timing in flashcard and learning applications.
Implemented for academic purpose, Gimuby is also suitable for teaching purpose. As far as we know this implementation of genetic algorithms is the most advanced available in Ruby for itintegrates an implementation of the island model, reusable patterns for user problem composition and optimal configuration genetic algorithm Gimuby contains the implementation of standard genetic algorithm (named population) and distributed genetic algorithm or island model (named archipelago). The presented archipelago are NOT distributed (nor with threads, processes, or physical machines). However they let the user benefits ofthe leverage they represent to obtain a better solution with the same amount of resources spent. Similar to: AI4R, gga4r and darwinning
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