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Max Halford 2016-03-02 15:11:02 +01:00
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@ -498,6 +498,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [bayesian](https://github.com/jbrukh/bayesian) - Naive Bayesian Classification for Golang. * [bayesian](https://github.com/jbrukh/bayesian) - Naive Bayesian Classification for Golang.
* [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go. * [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
* [gago](https://github.com/MaxHalford/gago) - Multi-population, flexible, parallel genetic algorithm.
* [go-fann](https://github.com/white-pony/go-fann) - Go bindings for Fast Artificial Neural Networks(FANN) library. * [go-fann](https://github.com/white-pony/go-fann) - Go bindings for Fast Artificial Neural Networks(FANN) library.
* [go-galib](https://github.com/thoj/go-galib) - Genetic Algorithms library written in Go / golang * [go-galib](https://github.com/thoj/go-galib) - Genetic Algorithms library written in Go / golang
* [go-pr](https://github.com/daviddengcn/go-pr) - Pattern recognition package in Go lang. * [go-pr](https://github.com/daviddengcn/go-pr) - Pattern recognition package in Go lang.
@ -514,7 +515,6 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [probab](https://code.google.com/p/probab/) - Probability distribution functions. Bayesian inference. Written in pure Go. * [probab](https://code.google.com/p/probab/) - Probability distribution functions. Bayesian inference. Written in pure Go.
* [regommend](https://github.com/muesli/regommend) - Recommendation & collaborative filtering engine * [regommend](https://github.com/muesli/regommend) - Recommendation & collaborative filtering engine
* [shield](https://github.com/eaigner/shield) - Bayesian text classifier with flexible tokenizers and storage backends for Go * [shield](https://github.com/eaigner/shield) - Bayesian text classifier with flexible tokenizers and storage backends for Go
* [gago](https://github.com/MaxHalford/gago) - Multi-population, flexible, parallel genetic algorithm.
## Messaging ## Messaging