Add m2cgen (#945)
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@ -596,6 +596,7 @@ _Tools that provide specific statistical algorithms for learning from data._
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- [DJL](https://djl.ai) - High-level and engine-agnostic framework for deep learning.
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- [H2O ![c]](https://www.h2o.ai) - Analytics engine for statistics over big data.
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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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- [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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