NaniteFactory/naneat
Just another NEAT implementation.
This is a Go library for implementing the Neuro-Evolution of Augmenting Topologies (NEAT) genetic algorithm. It allows you to evolve neural network structures and weights to solve complex problems, taking in problem definitions and outputting trained neural networks. This tool is designed for AI researchers, game developers, or anyone interested in applying neuroevolution to create adaptive systems.
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Use this if you need to build and train neural networks using an evolutionary approach where the network's structure adapts over time to optimize for a specific task, such as playing a game or solving logical problems.
Not ideal if you are looking for a pre-trained model, a high-level machine learning framework, or if you prefer a non-evolutionary approach to neural network design.
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Language
Go
License
MIT
Category
Last pushed
Feb 10, 2020
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