Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
proxy.golang.org : github.com/whitewolf-studio/neat
Package neat provides an implementation of NeuroEvolution of Augmenting Topologies (NEAT) as a plug-and-play framework, which can be used by simply adding and appropriate configuration and an evaluation function. NEAT (NeuroEvolution of Augmenting Topologies) is a neuroevolution algorithm by Dr. Kenneth O. Stanley which evolves not only neural networks' weights but also their topologies. This method starts the evolution process with genomes with minimal structure, then complexifies the structure of each genome as it progresses. You can read the original paper from here: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf This NEAT package is as simple as plug and play. All you have to do is to create a new instance of NEAT, given the configuration from a JSON file, for which the template is provided below, and an evaluation method of a neural network, and run. Now that you have the configuration JSON file is ready as `config.json`, we can start experiment with NEAT. Below is an example XOR experiment.
Registry
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Source
- Documentation
- JSON
purl: pkg:golang/github.com/whitewolf-studio/neat
Keywords: genetic-algorithm, go, neat, neural-network, neuroevolution, recurrent-neural-networks, reinforcement-learning, topologies
License: GPL-3.0
Latest release: about 6 years ago
First release: about 6 years ago
Namespace: github.com/whitewolf-studio
Stars: 67 on GitHub
Forks: 13 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 24 days ago