10

8

6

4

2


9.9

9.9
Apache Spark

9.7

10.0
Apache Flink

9.7

9.7
Apache Hadoop

9.6

9.2
Deeplearning4j

8.6

9.5
Smile

8.0

8.2
Apache Mahout

14 Machine Learning libraries and projects

  • Apache Spark

    9.9 9.9 Scala
    Data analytics cluster computing framework.

  • Apache Flink

    9.7 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 9.2 L1 Java
    Distributed and multi-threaded deep learning library.

  • Smile

    8.6 9.5 L2 Java
    The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.

  • Apache Mahout

    8.0 8.2 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.

  • Oryx 2

    7.4 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.

  • Porcupine  

    7.3 7.6 C
    On-device wake word detection engine powered by deep learning.

  • H2O

    6.7 9.6 Scala
    Analytics engine for statistics over big data.

  • DatumBox

    6.6 4.3 L3 Java
    Provides several algorithms and pre-trained models for natural language processing.

  • Deep Java Library (DJL)

    6.0 9.8 Java
    An Engine-Agnostic Deep Learning Framework in Java

  • JSAT

    5.7 4.3 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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