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@ -58,6 +58,7 @@ Further resources:
- [Java](#java)
- [Natural Language Processing](#java-nlp)
- [General-Purpose Machine Learning](#java-general-purpose)
- [Speech Recognition](#java-speech-recognition)
- [Data Analysis / Data Visualization](#java-data-analysis)
- [Deep Learning](#java-deep-learning)
- [Javascript](#javascript)
@ -406,6 +407,7 @@ Further resources:
* [H2O](https://github.com/h2oai/h2o-3) - ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
* [htm.java](https://github.com/numenta/htm.java) - General Machine Learning library using Numentas Cortical Learning Algorithm.
* [java-deeplearning](https://github.com/deeplearning4j/deeplearning4j) - Distributed Deep Learning Platform for Java, Clojure, Scala.
* [liblinear-java](https://github.com/bwaldvogel/liblinear-java) - Java version of liblinear.
* [Mahout](https://github.com/apache/mahout) - Distributed machine learning.
* [Meka](http://meka.sourceforge.net/) - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
* [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
@ -423,6 +425,7 @@ Further resources:
* [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Weka is a collection of machine learning algorithms for data mining tasks.
* [LBJava](https://github.com/IllinoisCogComp/lbjava/) - Learning Based Java is a modeling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application.
<a name="java-speech-recognition"></a>
#### Speech Recognition
* [CMU Sphinx](http://cmusphinx.sourceforge.net/) - Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.