update gorse in ML section (#2849)

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Zhenghao Zhang 2019-12-10 22:24:39 +08:00 committed by Andy Pan
parent 2d6afea2a3
commit 1a7b25983d

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@ -1018,7 +1018,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [Goptuna](https://github.com/c-bata/goptuna) - Bayesian optimization framework for black-box functions written in Go. Everything will be optimized. * [Goptuna](https://github.com/c-bata/goptuna) - Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.
* [goRecommend](https://github.com/timkaye11/goRecommend) - Recommendation Algorithms library written in Go. * [goRecommend](https://github.com/timkaye11/goRecommend) - Recommendation Algorithms library written in Go.
* [gorgonia](https://github.com/gorgonia/gorgonia) - graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms. * [gorgonia](https://github.com/gorgonia/gorgonia) - graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms.
* [gorse](https://github.com/zhenghaoz/gorse) - A High Performance Recommender System Package based on Collaborative Filtering for Go. * [gorse](https://github.com/zhenghaoz/gorse) - An offline recommender system backend based on collaborative filtering written in Go.
* [goscore](https://github.com/asafschers/goscore) - Go Scoring API for PMML. * [goscore](https://github.com/asafschers/goscore) - Go Scoring API for PMML.
* [gosseract](https://github.com/otiai10/gosseract) - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library. * [gosseract](https://github.com/otiai10/gosseract) - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.
* [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14. * [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14.