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@decile-team

decile-team

DECILE: Data EffiCient machIne LEarning

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  1. cords cords Public

    Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

    Jupyter Notebook 330 55

  2. distil distil Public

    DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

    Jupyter Notebook 150 26

  3. submodlib submodlib Public

    Summarize Massive Datasets using Submodular Optimization

    Jupyter Notebook 101 42

  4. spear spear Public

    SPEAR: Programmatically label and build training data quickly.

    Jupyter Notebook 106 20

  5. jensen jensen Public

    A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logist…

    C++ 51 21

  6. trust trust Public

    Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your models.

    Python 19 10

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