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@decile-team

decile-team

DECILE: Data EffiCient machIne LEarning

Pinned

  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 309 50

  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 138 23

  3. submodlib submodlib Public

    Summarize Massive Datasets using Submodular Optimization

    Jupyter Notebook 80 27

  4. spear spear Public

    SPEAR: Programmatically label and build training data quickly.

    Jupyter Notebook 103 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++ 50 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 18 10

Repositories

Showing 9 of 9 repositories
  • spear Public

    SPEAR: Programmatically label and build training data quickly.

    Jupyter Notebook 103 MIT 20 0 1 Updated Mar 8, 2024
  • submodlib Public

    Summarize Massive Datasets using Submodular Optimization

    Jupyter Notebook 80 MIT 27 10 2 Updated Feb 13, 2024
  • trust Public

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

    Python 18 MIT 10 1 1 Updated Nov 17, 2023
  • 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 309 MIT 50 27 (3 issues need help) 0 Updated May 24, 2023
  • distil Public

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

    Jupyter Notebook 138 MIT 23 8 0 Updated Feb 5, 2023
  • 0 0 0 0 Updated Apr 10, 2022
  • 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 (Logistic Regression, SVMs, Least Squares Regression etc.)

    C++ 50 21 0 0 Updated Feb 26, 2022
  • datasets Public

    Datasets

    Scilab 1 MIT 1 0 0 Updated Mar 24, 2021

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