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Maria Batsou
2020-01-13 20:34:42 +02:00
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@ -563,8 +563,8 @@ _Tools that provide specific statistical algorithms for learning from 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)
- [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.
- [Smile](https://haifengl.github.io/smile) - The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
- [Synapses](https://mrdimosthenis.github.io/Synapses) - Lightweight Neural Network library, for js, jvm and .net.
- [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)
- [Synapses](https://mrdimosthenis.github.io/Synapses) - Lightweight Neural Network library, for js, jvm and .net
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