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Add ML libraries ojAlgo and Tribuo (#884)

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shathor
2020-09-21 11:31:45 +02:00
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@ -573,9 +573,11 @@ _Tools that provide specific statistical algorithms for learning from data._
- [DJL](https://djl.ai) - High-level and engine-agnostic framework for deep learning.
- [H2O ![c]](https://www.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. (GPL-3.0-only)
- [oj! Algorithms](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing.
- [Oryx 2](https://github.com/OryxProject/oryx) - Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
- [Siddhi](https://github.com/siddhi-io/siddhi) - Cloud native streaming and complex event processing engine.
- [Smile](https://github.com/haifengl/smile) - Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
- [Tribuo](https://tribuo.org/) - Provides tools for classification, regression, clustering, model development and interfaces with other libraries such as scikit-learn, pytorch and TensorFlow.
- [Weka](https://www.cs.waikato.ac.nz/ml/weka/) - Collection of algorithms for data mining tasks ranging from pre-processing to visualization. (GPL-3.0-only)
### Messaging