From d1968d7a5d88e1b66112b9d635ab3fc18d153c1e Mon Sep 17 00:00:00 2001 From: sgwerder Date: Sun, 15 Jan 2017 15:09:09 +0100 Subject: [PATCH] Added DatumBox Machine Learning framework 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. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 6171c61..8c2a6cb 100644 --- a/README.md +++ b/README.md @@ -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.