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wagenaartje authored Mar 27, 2017
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# Gynaptic [![Build Status](https://travis-ci.org/wagenaartje/gynaptic.svg?branch=master)](https://travis-ci.org/wagenaartje/gynaptic)
Gynaptic is an architecture-free [neural network](https://en.wikipedia.org/wiki/Artificial_neural_network) library with implementations to create [genetic neural networks](https://en.wikipedia.org/wiki/Neuroevolution). It gives the user the ability to create train neurol networks with evolutionary algorithms with just a few lines of code. The library is constantly updated with new mutation, crossover and selection methods. Gynaptics' main neural network code comes from the library [Synaptic](https://github.com/cazala/synaptic) by [Juan Cazala](https://github.com/cazala). Gynaptic will stay up to date with Synaptic's improvements as much as possible.

**At this moment, I am developing a NEAT algorithm to create complex neural networks. The library will keep offering the same usability of Synaptic, but the focus lies on Neuroevolution**

<img src="https://assets-cdn.github.com/images/modules/site/home-ill-work.png?sn" width="440px" align="right">

What Gynaptic adds to Synaptic:
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