Machine learning on JVM

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

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  • GitHub repo Smile

    Statistical Machine Intelligence & Learning Engine

    I was using Smile for some period - https://haifengl.github.io/ - it's quite small and lightweight Java lib with some very basic algorithms - I was using in particularly cauterization. Along with this it provides Scala API.

  • GitHub repo Breeze

    Breeze is a numerical processing library for Scala.

    I haven't checked in on this project in a long time, but Breeze is something akin to NumPy/SciPy.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • GitHub repo SynapseML

    Simple and Distributed Machine Learning

    Microsoft ML for Spark gets you a range of powerful ML features on Spark.

  • GitHub repo BigDL

    Building Large-Scale AI Applications for Distributed Big Data

    Intel BigDL for Spark which again is for Spark.

  • GitHub repo Deep Java Library (DJL)

    An Engine-Agnostic Deep Learning Framework in Java

    AWS Deep Learning more deep learning.

  • GitHub repo rainier

    Bayesian inference in Scala.

    Bayesian Inference which is more specific.

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.

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