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1. AdvancedOptML AdvancedOptML Public

   CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

   180 41

2. MLClass MLClass Public

   Slides and other material (e.g. Demos) of my ML Courses CS 6375 and CS 4375 at UT Dallas

   Jupyter Notebook 53 19

3. OptimizationDemos OptimizationDemos Public

   Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and optimization algorithms (gradient descent, accelerated varia…

   Jupyter Notebook 13 4

4. decile-team/jensen decile-team/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++ 54 21

5. decile-team/cords decile-team/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 344 58

6. decile-team/distil decile-team/distil Public

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

   Jupyter Notebook 154 27