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Added neat - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT) (#1429)

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* added neat - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).

* alphabetical order
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Jin Yeom 2017-06-18 18:00:42 -05:00 committed by Felipe Oliveira
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@ -642,6 +642,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [gorgonia](https://github.com/chewxy/gorgonia) - graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms.
* [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14.
* [mlgo](https://github.com/NullHypothesis/mlgo) - This project aims to provide minimalistic machine learning algorithms in Go.
* [neat](https://github.com/jinyeom/neat) - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).
* [neural-go](https://github.com/schuyler/neural-go) - A multilayer perceptron network implemented in Go, with training via backpropagation.
* [probab](https://github.com/ThePaw/probab) - Probability distribution functions. Bayesian inference. Written in pure Go.
* [regommend](https://github.com/muesli/regommend) - Recommendation & collaborative filtering engine