decile-team
decile-team
cords
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
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
spear
SPEAR: Programmatically label and build training data quickly.
jensen
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...
submodlib
Summarize Massive Datasets using Submodular Optimization
trust
Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your models.