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fix(gorgonia): repo URL has changed (#2763)

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Gorgonia has moved to an organization, the old URL is still valid, but no more updates are made on this one.
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Olivier Wulveryck 2019-10-08 19:49:29 +02:00 committed by Ceriath
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@ -1000,7 +1000,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [goml](https://github.com/cdipaolo/goml) - On-line Machine Learning in Go. * [goml](https://github.com/cdipaolo/goml) - On-line Machine Learning in Go.
* [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/chewxy/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) - A High Performance Recommender System Package based on Collaborative Filtering for 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.