[D] Java vs Python for Machine learning

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/MachineLearning

Our great sponsors
  • Mergify - Automate your Pull Request with Mergify
  • Scout APM - Less time debugging, more time building
  • SonarQube - Static code analysis for 29 languages.
  • java

    Java bindings for TensorFlow (by tensorflow)

    To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.

  • CoreNLP

    Stanford CoreNLP: A Java suite of core NLP tools.

    To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.

  • Mergify

    Automate your Pull Request with Mergify. Mergify is the most powerful merge queue tool that offers speculative checks, batch merges, and multiple queueing options. Coordinated with any CI and fully integrated to GitHub. Get started or request a demo!

  • Deep Java Library (DJL)

    An Engine-Agnostic Deep Learning Framework in Java

    To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.

  • Apache Solr

    Apache Lucene and Solr open-source search software

    To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts