Showing 2 open source projects for "deep learning with python"

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    Uncertainty Baselines

    Uncertainty Baselines

    High-quality implementations of standard and SOTA methods

    ...Techniques include deep ensembles, Monte Carlo dropout, temperature scaling, stochastic variational inference, heteroscedastic heads, and out-of-distribution detection workflows. Each baseline emphasizes reproducibility: fixed seeds, standard splits, and strong metrics such as calibration error, AUROC for OOD, and accuracy under shift.
    Downloads: 0 This Week
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  • 2
    yafra

    yafra

    Apache Cayenne, Wicket, CXF, GWT, EJB examples as a framework

    Yet another (different) framework. Examples around Apache Cayenne. Using different technologies like Apache CXF Google Web Toolkit EJB Apache Wicket Eclipse RCP Java ANSI C Perl Python Bash WE MOVED TO GITHUB.COM !! All sources are now in git on github.com - search for yafra project. Thanks sf.net for the very good service in the past - but now it was time to move on!
    Downloads: 0 This Week
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