10

8

6

4

2


10.0

10.0

9.5

9.9

9.3

9.9

8.6

9.9

8.4

8.6

7.9

8.3

12 Machine Learning libraries and projects

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  • Apache Spark

    10.0 10.0 Scala
    Data analytics cluster computing framework.
  • Deeplearning4j

    9.5 9.9 Java
    Distributed and multi-threaded deep learning library.
  • Apache Hadoop

    9.3 9.9 Java
    Storage and large-scale processing of data-sets on clusters of commodity hardware.
  • Apache Flink

    8.6 9.9 Java
    Fast and reliable large-scale data processing engine.
  • Smile

    8.4 8.6 Java
    The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.
  • Apache Mahout

    7.9 8.3 Java
    Scalable algorithms focused on collaborative filtering, clustering and classification.
  • DeepDive

    7.1 9.5 Shell
    Creates structured information from unstructured data and integrates it into an existing database.
  • Oryx 2

    7.1 8.1 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

    6.6 9.0 Java
    Provides several algorithms and pre-trained models for natural language processing.
  • H2O

    5.8 8.8 Scala
    Analytics engine for statistics over big data.
  • JSAT

    4.1 8.3 Java
    Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.
  • Weka

    4.0 8.4 PostScript
    Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

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