neat_lib 0.1.0

Rust implementation of NeuroEvolution of Augmenting Topologies
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NEAT in rust

Evolving Neural Networks through Augmenting Topologies (NEAT) is a method to dynamically evole a neural network to maximize the performance (fitness) for certain tasks, the original paper can be found here. This is a rust implementation that is inspired by the original papar as well as evo-NEAT and the neat-python project.

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