Organization data from Github https://github.com/decile-team
DECILE: Data EffiCient machIne LEarning
Home Page:www.decile.org
GitHub:@decile-team
Twitter:@decile_research
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.
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
Summarize Massive Datasets using Submodular Optimization
SPEAR: Programmatically label and build training data quickly.
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.)
Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your models.
https://decile.org/workshop/
Datasets
