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Add Intelligent Java (#1034)

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Ahmad Albarqawi 2023-01-30 10:55:24 +00:00 committed by GitHub
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@ -605,6 +605,7 @@ _Tools that provide specific statistical algorithms for learning from data._
- [Deeplearning4j](https://deeplearning4j.org) - Distributed and multi-threaded deep learning library. - [Deeplearning4j](https://deeplearning4j.org) - Distributed and multi-threaded deep learning library.
- [DJL](https://djl.ai) - High-level and engine-agnostic framework for deep learning. - [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. - [H2O ![c]](https://www.h2o.ai) - Analytics engine for statistics over big data.
- [Intelligent java](https://github.com/Barqawiz/IntelliJava) - Seamlessly integrate with remote deep learning and language models programmatically.
- [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. (GPL-3.0-only) - [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution. (GPL-3.0-only)
- [m2cgen](https://github.com/BayesWitnesses/m2cgen) - CLI tool to transpile models into native code. - [m2cgen](https://github.com/BayesWitnesses/m2cgen) - CLI tool to transpile models into native code.
- [oj! Algorithms](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing. - [oj! Algorithms](https://www.ojalgo.org/) - High-performance mathematics, linear algebra and optimisation needed for data science, machine learning and scientific computing.