WIN module that handles all things schema related! Schema validation, schema loading, schema remote loads, etc etc etc
JavaScript library for creative coding
A genetic algorithm library
Create and manage an evolutionary algorithm that runs the NSGA-II multiobjective search algorithm (bit redundant). This is a WIN module.
Advanced genetic and evolutionary algorithm library
🚀 Enterprise-grade Node.js system monitoring suite with real-time metrics collection, intelligent alerting, performance analytics, health monitoring, and comprehensive observability. Features CPU, memory, disk, and network monitoring with TypeScript supp
A JavaScript library implementing the NEAT algorithm
Javascript library to draw haplotype network.
A library for test responce time of a service
A flexible genetic algorithm implementation in TypeScript
A TypeScript library to iteratively tune parameters using adaptive momentum-based optimization to minimize a given loss function.
A JavaScript implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm for evolving artificial neural networks.
Simple and clear JavaScript class for genetic algorithms. Contains helpful functions to get you going.
🌌 FR3K NEXUS v2.0 - Advanced Quantum Trading Platform with AI Agents, Neural Interface, Cosmic Timing, and Mystical Analysis
AI powered content generation and conversion optimization. MagicInk official React package.
A highly flexible, data-agnostic, and UI-independent Genetic Algorithm Library
Nós n8n para integração com MCP (Management Control Panel) da Clínica
WIN module that handles all things API related! Save/load, Schema validation, schema loading, schema remote loads, etc etc etc
一个基于密钥演化的对称加密算法实现，使用 TypeScript 开发，包含完整的测试套件。
Advanced genetic and evolutionary algorithm library
Your AI agent audits itself and gradually rewrites its own behaviour.
Evidence-gated schema / infrastructure migrations — expand-and-contract as a typed value with wrong-until-proven-otherwise transitions
Interactive CLI for GSEP (Genomic Self-Evolving Prompts)
SOTA continuous optimization. CMA-ES derivative-free optimizer. 10-100x more efficient than genetic algorithms on smooth problems.