10

8

6

4

2


10.0

10.0

9.8

9.9

9.7

9.9

9.5

6.5

8.7

9.0

14 Machine Learning libraries and projects

  • Apache Spark

    10.0 10.0 Scala
    Apache Spark - A unified analytics engine for large-scale data processing
  • Apache Flink

    9.8 9.9 L2 Java
    Apache Flink
  • The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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  • Apache Hadoop

    9.7 9.9 L1 Java
    Apache Hadoop
  • Deeplearning4j

    9.5 6.5 L1 Java
    Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
  • Smile

    8.7 9.0 L2 Java
    Statistical Machine Intelligence & Learning Engine
  • Deep Java Library (DJL)

    8.0 9.4 Java
    An Engine-Agnostic Deep Learning Framework in Java
  • Apache Mahout

    7.9 8.3 L3 HTML
    Mirror of Apache Mahout
  • Porcupine  

    7.8 9.1 Python
    On-device wake word detection powered by deep learning
  • DeepDive

    7.4 0.0 Shell
    DeepDive
  • Oryx 2

    7.2 0.8 L4 Java
    Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
  • H2O

    6.5 7.7 Scala
    Sparkling Water provides H2O functionality inside Spark cluster
  • DatumBox

    6.4 3.2 L3 Java
    Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
  • JSAT

    5.7 0.0 L2 Java
    Java Statistical Analysis Tool, a Java library for Machine Learning
  • Weka

    4.9 0.0 PostScript
    Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

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