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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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* [gago](https://github.com/MaxHalford/gago) - Multi-population, flexible, parallel genetic algorithm.
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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-galib](https://github.com/thoj/go-galib) - Genetic Algorithms library written in Go / golang
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* [go-pr](https://github.com/daviddengcn/go-pr) - Pattern recognition package in Go lang.
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* [probab](https://code.google.com/p/probab/) - Probability distribution functions. Bayesian inference. Written in pure Go.
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* [regommend](https://github.com/muesli/regommend) - Recommendation & collaborative filtering engine
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* [shield](https://github.com/eaigner/shield) - Bayesian text classifier with flexible tokenizers and storage backends for Go
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* [gago](https://github.com/MaxHalford/gago) - Multi-population, flexible, parallel genetic algorithm.
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## Messaging
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