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Master-Neat is a powerful library designed to facilitate the creation and management of neural networks. It provides a comprehensive set of tools and utilities for developers looking to implement advanced neural network architectures.
- neural network
- machine learning
- genetic algorithm
- mutation
- neat
- neuroevolution
- artificial intelligence
- evolutionary algorithms
- deep learning
- network evolution
- ai
- neural network training
- neural network evolution
- neat algorithm
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A JavaScript implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm for evolving artificial neural networks.
Neuroevolution: evolving neural networks using tensorflow.js and genetic algorithm
My best attempt at NeuroEvolution of Augmenting Topologies in js
Typescript implementation of NEAT - Neuroevolution of Augmenting Topologies
TinyNEAT is a tiny, js-native NEAT (NeuroEvolution of Augmenting Topologies) library, meant to easily incorporate into any codebase.
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.