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Added DatumBox Machine Learning framework

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The main focus of the framework is to include a large number of machine learning algorithms & statistical methods and to be able to handle large sized datasets. It uniquely containes various pre-trained models, making it easy to include and use in existing projects. Like detections of topics, spam, adult content, language, gender, sentiment, cemmerials, etc.
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sgwerder
2017-01-15 15:09:09 +01:00
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@ -491,6 +491,7 @@ A curated list of awesome Java frameworks, libraries and software.
* [Apache Flink](https://flink.apache.org/) - Fast and reliable large-scale data processing engine.
* [Apache Mahout](https://mahout.apache.org/) - Scalable algorithms focused on collaborative filtering, clustering and classification.
* [Apache Spark](http://spark.apache.org/) - Data analytics cluster computing framework.
* [DatumBox](http://www.datumbox.com) - Framework providing ML algorithms and various pre-trained models for NLP detections, e.g. topics.
* [DeepDive](http://deepdive.stanford.edu) - Creates structured information from unstructured data and integrates it into an existing database.
* [Deeplearning4j](http://deeplearning4j.org/) - Distributed and multi-threaded deep learning library.
* [H2O](http://www.h2o.ai/) - Analytics engine for statistics over big data.