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Merge pull request #764 from nikolaydubina/added-go-featureprocessing
Added go featureprocessing
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@ -415,6 +415,7 @@ Read the paper [here](https://arxiv.org/abs/1902.06714).
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* [eaopt](https://github.com/MaxHalford/eaopt) - An evolutionary optimization library.
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* [leaves](https://github.com/dmitryikh/leaves) - A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
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* [gobrain](https://github.com/goml/gobrain) - Neural Networks written in Go.
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* [go-featureprocessing](https://github.com/nikolaydubina/go-featureprocessing) - Fast and convenient feature processing for low latency machine learning in Go.
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* [go-mxnet-predictor](https://github.com/songtianyi/go-mxnet-predictor) - Go binding for MXNet c_predict_api to do inference with a pre-trained model.
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* [go-ml-transpiler](https://github.com/znly/go-ml-transpiler) - An open source Go transpiler for machine learning models.
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* [golearn](https://github.com/sjwhitworth/golearn) - Machine learning for Go.
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