Showing 1-20 of 27 packages
Neuroevolution: evolving neural networks using tensorflow.js and genetic algorithm
Neuroevolution library in TypeScript
Neuroevolution library in TypeScript
NEAT (Neuroevolution of Augmenting Topologies) implementation in JavaScript
NeuroEvolution of Augmenting Topologies (NEAT) implemented in Javascript (with tests done in Mocha for verification). Can be used as a node module or in a browser
A JavaScript implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm for evolving artificial neural networks.
My best attempt at NeuroEvolution of Augmenting Topologies in js
Physical balancing demos for the swirlnet neuroevolution library
A VERY simple implementation of the NEAT algorithm in javascript to simulate neuroevolution. NOTE: This project only works for very simple data and isn't suitable for complicated tasks.
TinyNEAT is a tiny, js-native NEAT (NeuroEvolution of Augmenting Topologies) library, meant to easily incorporate into any codebase.
Core genetic algorithm of swirlnet neuroevolution library
A Neuroevolution Library
A Simple Node.js AI Library for Neural Network
Neuroevolution library based on NEAT (NeuroEvolution of Augmenting Topologies)
Novelty search for swirlnet neuroevolution library
jsd-app-neuroevolution
A WebGPU-powered neural network library built on simple-compute-shaders.
Typescript implementation of NEAT - Neuroevolution of Augmenting Topologies
This is an experimentation with evolutionary computing applied to neural networks using TensorFlow.js
A JavaScript library implementing the NEAT algorithm