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

  9.5 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

  8.5 9.3 L2 Java

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

• Apache Mahout

  7.9 8.6 L3 Java

  Scalable algorithms focused on collaborative filtering, clustering and classification.

• DeepDive

  7.4 8.0 Shell

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

• Oryx 2

  7.2 7.4 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 7.8 L3 Java

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

• H2O

  5.8 8.9 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

  4.2 0.0 PostScript

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

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.

Popular Comparisons

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