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Add zhenghaoz/gorse (#2345)
Please check if what you want to add to `awesome-go` list meets [quality standards](https://github.com/avelino/awesome-go/blob/master/CONTRIBUTING.md#quality-standard) before sending pull request. Thanks! **Please provide package links to:** - github.com repo: [zhenghaoz/gorse](https://github.com/zhenghaoz/gorse) - godoc.org: [![GoDoc](https://godoc.org/github.com/zhenghaoz/gorse?status.svg)](https://godoc.org/github.com/zhenghaoz/gorse) - goreportcard.com: [![Go Report Card](https://goreportcard.com/badge/github.com/zhenghaoz/gorse)](https://goreportcard.com/report/github.com/zhenghaoz/gorse) - coverage service link: [![codecov](https://codecov.io/gh/zhenghaoz/gorse/branch/master/graph/badge.svg)](https://codecov.io/gh/zhenghaoz/gorse) Very good coverage **Note**: that new categories can be added only when there are 3 packages or more. **Make sure that you've checked the boxes below before you submit PR:** - [x] I have added my package in alphabetical order. - [x] I have an appropriate description with correct grammar. - [x] I know that this package was not listed before. - [x] I have added godoc link to the repo and to my pull request. - [x] I have added coverage service link to the repo and to my pull request. - [x] I have added goreportcard link to the repo and to my pull request. - [x] I have read [Contribution guidelines](https://github.com/avelino/awesome-go/blob/master/CONTRIBUTING.md#contribution-guidelines), [maintainers note](https://github.com/avelino/awesome-go/blob/master/CONTRIBUTING.md#maintainers) and [Quality standard](https://github.com/avelino/awesome-go/blob/master/CONTRIBUTING.md#quality-standard). Thanks for your PR, you're awesome! 👍
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@ -896,6 +896,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
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* [goml](https://github.com/cdipaolo/goml) - On-line Machine Learning in Go.
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* [goRecommend](https://github.com/timkaye11/goRecommend) - Recommendation Algorithms library written in Go.
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* [gorgonia](https://github.com/chewxy/gorgonia) - graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms.
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* [gorse](https://github.com/zhenghaoz/gorse) - A High Performance Recommender System Package based on Collaborative Filtering for Go.
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* [goscore](https://github.com/asafschers/goscore) - Go Scoring API for PMML.
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* [gosseract](https://github.com/otiai10/gosseract) - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.
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* [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14.
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