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Add onnx-go (#2489)

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* Add onnx-go 

* github.com repo: https://github.com/owulveryck/onnx-go
* godoc.org: https://godoc.org/github.com/owulveryck/onnx-go
* goreportcard.com: https://goreportcard.com/report/github.com/owulveryck/onnx-go
* travis build: https://travis-ci.com/owulveryck/onnx-go

* Update README.md
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Nabil Servais 2019-05-26 13:26:36 +02:00 committed by Avelino
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@ -956,6 +956,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [neat](https://github.com/jinyeom/neat) - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). * [neat](https://github.com/jinyeom/neat) - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).
* [neural-go](https://github.com/schuyler/neural-go) - Multilayer perceptron network implemented in Go, with training via backpropagation. * [neural-go](https://github.com/schuyler/neural-go) - Multilayer perceptron network implemented in Go, with training via backpropagation.
* [ocrserver](https://github.com/otiai10/ocrserver) - A simple OCR API server, seriously easy to be deployed by Docker and Heroku. * [ocrserver](https://github.com/otiai10/ocrserver) - A simple OCR API server, seriously easy to be deployed by Docker and Heroku.
* [onnx-go](https://github.com/owulveryck/onnx-go) - Go Interface to Open Neural Network Exchange (ONNX).
* [probab](https://github.com/ThePaw/probab) - Probability distribution functions. Bayesian inference. Written in pure Go. * [probab](https://github.com/ThePaw/probab) - Probability distribution functions. Bayesian inference. Written in pure Go.
* [regommend](https://github.com/muesli/regommend) - Recommendation & collaborative filtering engine. * [regommend](https://github.com/muesli/regommend) - Recommendation & collaborative filtering engine.
* [shield](https://github.com/eaigner/shield) - Bayesian text classifier with flexible tokenizers and storage backends for Go. * [shield](https://github.com/eaigner/shield) - Bayesian text classifier with flexible tokenizers and storage backends for Go.