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Nikita Titov 2021-08-13 16:49:02 +03:00 committed by Avelino
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@ -1196,7 +1196,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [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.
* [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14. * [libsvm](https://github.com/datastream/libsvm) - libsvm golang version derived work based on LIBSVM 3.14.
* [m2cgen](https://github.com/BayesWitnesses/m2cgen) - A CLI tool to transpile trained classic ML models into a native Go code with zero dependencies. * [m2cgen](https://github.com/BayesWitnesses/m2cgen) - A CLI tool to transpile trained classic ML models into a native Go code with zero dependencies, written in Python with Go language support.
* [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.