Java Machine Learning

14 Machine Learning libraries and projects

• Apache Spark

  9.9 10.0 Scala

  Apache Spark - A unified analytics engine for large-scale data processing
  

• Apache Flink

  9.8 9.9 L2 Java

  Apache Flink
  

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• Apache Hadoop

  9.7 9.8 L1 Java

  Apache Hadoop
  

• Deeplearning4j

  9.6 7.6 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

  8.6 8.9 L2 Java

  Statistical Machine Intelligence & Learning Engine

• Deep Java Library (DJL)

  7.8 9.0 Java

  An Engine-Agnostic Deep Learning Framework in Java
  

• Apache Mahout

  7.8 4.9 L3 Java

  Mirror of Apache Mahout
  

• Porcupine  

  7.5 8.7 Python

  On-device wake word detection powered by deep learning
  

• DeepDive

  7.3 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

  6.4 9.1 Scala

  Sparkling Water provides H2O functionality inside Spark cluster
  

• DatumBox

  6.3 0.0 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

  5.5 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.

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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Popular Comparisons

• Weka
  vs
  Apache Spark
• Deeplearning4j
  vs
  Weka
• Deeplearning4j
  vs
  Deep Java Library (DJL)
• H2O
  vs
  Deeplearning4j
• Weka
  vs
  H2O

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