Java Machine Learning

14 Machine Learning libraries and projects

• Apache Spark

  9.9 9.9 Scala

  Data analytics cluster computing framework.

• Apache Flink

  9.8 10.0 L2 Java

  Fast and reliable large-scale data processing engine.

• Apache Hadoop

  9.7 9.7 L1 Java

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

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• Deeplearning4j

  9.6 8.5 L1 Java

  Distributed and multi-threaded deep learning library.

• Smile

  8.6 9.6 L2 Java

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

• Apache Mahout

  7.9 7.1 L3 Java

  Scalable algorithms focused on collaborative filtering, clustering and classification.

• DeepDive

  7.5 0.0 Shell

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

• Porcupine  

  7.3 8.4 Java

  On-device wake word detection engine powered by deep learning.

• Oryx 2

  7.3 2.6 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.

• Deep Java Library (DJL)

  6.7 0.0 Java

  An Engine-Agnostic Deep Learning Framework in Java

• H2O

  6.5 0.0 Scala

  Analytics engine for statistics over big data.

• DatumBox

  6.4 3.7 L3 Java

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

• JSAT

  5.5 2.4 L2 Java

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

• Weka

  4.9 0.0 PostScript

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

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Popular Comparisons

• Weka
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