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randomforest library (#2847)

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malaschitz 2020-01-02 22:00:52 +01:00 committed by Ceriath
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@ -1039,6 +1039,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [ocrserver](https://github.com/otiai10/ocrserver) - A simple OCR API server, seriously easy to be deployed by Docker and Heroku. * [ocrserver](https://github.com/otiai10/ocrserver) - A simple OCR API server, seriously easy to be deployed by Docker and Heroku.
* [onnx-go](https://github.com/owulveryck/onnx-go) - Go Interface to Open Neural Network Exchange (ONNX). * [onnx-go](https://github.com/owulveryck/onnx-go) - Go Interface to Open Neural Network Exchange (ONNX).
* [probab](https://github.com/ThePaw/probab) - Probability distribution functions. Bayesian inference. Written in pure Go. * [probab](https://github.com/ThePaw/probab) - Probability distribution functions. Bayesian inference. Written in pure Go.
* [randomforest](https://github.com/malaschitz/randomForest) - Easy to use Random Forest library for 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.
* [tfgo](https://github.com/galeone/tfgo) - Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python. * [tfgo](https://github.com/galeone/tfgo) - Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python.