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@@ -672,6 +672,7 @@ 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.
 * [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.
+* [goscore](https://github.com/asafschers/goscore) - Go Scoring API for PMML.
 * [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14.
 * [mlgo](https://github.com/NullHypothesis/mlgo) - This project aims to provide minimalistic machine learning algorithms in Go.
 * [neat](https://github.com/jinyeom/neat) - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).