Open Source Embedded Operating Systems Machine Learning Software

Machine Learning Software for Embedded Operating Systems

Browse free open source Machine Learning software and projects for Embedded Operating Systems below. Use the toggles on the left to filter open source Machine Learning software by OS, license, language, programming language, and project status.

  • Veeam Data Platform v13.1 Icon
    Veeam Data Platform v13.1

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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

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  • 1
    DocCO

    DocCO

    Non-disjoint groupping of Documents based on word sequence approach

    This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning.
    Downloads: 0 This Week
    Last Update:
    See Project
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