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Include a reference for the project Oryx 2

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Oryx 2 is a framework for building real-time large scale machine learning applications, which also includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
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Alessandro Leite
2016-01-07 23:58:45 +01:00
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@ -399,6 +399,7 @@ A curated list of awesome Java frameworks, libraries and software.
* [Deeplearning4j](http://deeplearning4j.org/) - Distributed and multi-threaded deep learning library. * [Deeplearning4j](http://deeplearning4j.org/) - Distributed and multi-threaded deep learning library.
* [H2O](http://h2o.ai/) - Analytics engine for statistics over big data. * [H2O](http://h2o.ai/) - Analytics engine for statistics over big data.
* [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. * [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.
* [Oryx 2](https://github.com/OryxProject/oryx) - A framework for building real-time large scale machine learning applications, which also includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
* [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Collection of algorithms for data mining tasks ranging from pre-processing to visualization. * [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Collection of algorithms for data mining tasks ranging from pre-processing to visualization.
## Messaging ## Messaging