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@ -668,6 +668,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
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* [bayesian](https://github.com/jbrukh/bayesian) - Naive Bayesian Classification for Golang.
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* [bayesian](https://github.com/jbrukh/bayesian) - Naive Bayesian Classification for Golang.
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* [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
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* [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
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* [fonet](https://github.com/Fontinalis/fonet) - A Deep Neural Network library written in Go.
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* [gago](https://github.com/MaxHalford/gago) - Multi-population, flexible, parallel genetic algorithm.
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* [gago](https://github.com/MaxHalford/gago) - Multi-population, flexible, parallel genetic algorithm.
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* [go-cluster](https://github.com/e-XpertSolutions/go-cluster) - Go implementation of the k-modes and k-prototypes clustering algorithms.
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* [go-cluster](https://github.com/e-XpertSolutions/go-cluster) - Go implementation of the k-modes and k-prototypes clustering algorithms.
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* [go-fann](https://github.com/white-pony/go-fann) - Go bindings for Fast Artificial Neural Networks(FANN) library.
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* [go-fann](https://github.com/white-pony/go-fann) - Go bindings for Fast Artificial Neural Networks(FANN) library.
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