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@ -573,6 +573,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
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* [golinear](https://github.com/danieldk/golinear) - liblinear bindings for Go
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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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* [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14.
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* [mlgo](https://github.com/NullHypothesis/mlgo) - This project aims to provide minimalistic machine learning algorithms in Go.
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* [neural-go](https://github.com/schuyler/neural-go) - A multilayer perceptron network implemented in Go, with training via backpropagation.
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