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Add Neureka (akullpp#1080)
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README.md

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@@ -627,6 +627,7 @@ _Tools that provide specific statistical algorithms for learning from data._
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- [Intelligent java](https://github.com/Barqawiz/IntelliJava) - Seamlessly integrate with remote deep learning and language models programmatically.
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- [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. (GPL-3.0-only)
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- [m2cgen](https://github.com/BayesWitnesses/m2cgen) - CLI tool to transpile models into native code.
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- [Neureka](https://github.com/Gleethos/neureka) - A lightweight, platform independent, OpenCL accelerated nd-array/tensor library.
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- [oj! Algorithms](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing.
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- [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.
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- [Siddhi](https://github.com/siddhi-io/siddhi) - Cloud native streaming and complex event processing engine.

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