Java Machine Learning

12 Machine Learning libraries and projects

• Apache Spark

  9.9 9.9 Scala

  Data analytics cluster computing framework.

• Deeplearning4j

  9.7 9.9 L1 Java

  Distributed and multi-threaded deep learning library.

• Apache Hadoop

  9.4 9.9 L1 Java

  Storage and large-scale processing of data-sets on clusters of commodity hardware.

• Apache Flink

  8.9 9.9 L2 Java

  Fast and reliable large-scale data processing engine.

• Smile

  8.6 9.1 L2 Java

  The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.

• Apache Mahout

  7.9 8.8 L3 Java

  Scalable algorithms focused on collaborative filtering, clustering and classification.

• DeepDive

  7.4 8.6 Shell

  Creates structured information from unstructured data and integrates it into an existing database.

• Oryx 2

  7.2 7.7 L4 Java

  A framework for building real-time large scale machine learning applications, which also includes end-to-end applications for collaborative filtering, classification, regression, and clustering.

• DatumBox

  6.5 8.3 L3 Java

  Provides several algorithms and pre-trained models for natural language processing.

• H2O

  5.8 9.0 Scala

  Analytics engine for statistics over big data.

• JSAT

  4.3 8.0 L2 Java

  Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.

• Weka

  4.1 1.6 PostScript

  Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

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Popular Comparisons

• Weka
  vs
  Apache Spark
• Deeplearning4j
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  H2O
• Deeplearning4j
  vs
  Weka
• Weka
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  H2O
• Smile
  vs
  Apache Spark