Machine learning on JVM

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

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  • 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.

  • 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.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • SynapseML

    Simple and Distributed Machine Learning

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

  • BigDL

    Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm

    Intel BigDL for Spark which again is for Spark.

  • Deep Java Library (DJL)

    An Engine-Agnostic Deep Learning Framework in Java

    AWS Deep Learning more deep learning.

  • 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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