Machine learning on JVM

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

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  1. 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.

  2. SaaSHub

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  3. Breeze

    Breeze is/was 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.

  4. SynapseML

    Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

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

  5. BigDL

    Discontinued Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

    Intel BigDL for Spark which again is for Spark.

  6. Deep Java Library (DJL)

    An Engine-Agnostic Deep Learning Framework in Java

    AWS Deep Learning more deep learning.

  7. 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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