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submodlib
PublicSummarize Massive Datasets using Submodular Optimizationspear
PublicSPEAR: Programmatically label and build training data quickly.trust
Publiccords
PublicReduce 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
PublicDISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.decile-team.github.io
Publicdecile-workshop
Publicjensen
PublicA 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.)datasets
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