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1. sksurrogate sksurrogate Public

   SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization fo…

   Python 1 2

2. nonlinear-regression nonlinear-regression Public

   Nonlinear Regression based on scikit-learn.

   Python 1 2

3. Irene Irene Public

   Irene is a python package that aims to be a toolkit for global optimization problems that can be realized algebraically. It generalizes Lasserre's Relaxation method to handle theoretically any opti…

   Python 14 1

4. InventoryOptim InventoryOptim Public

   Given inventory data of multiple commodities from stock with variable capacity, provide insight on estimating future required capacity, future cost estimation, how the trends of items would change,…

   Python 1 1

5. pyProximation pyProximation Public

   Originally written to solve systems of integrodifferential equations via collocation method in an arbitrary number of variables. The current implementation of the method is based on a finite-dimens…

   Python 3 1

6. CvxAlgGeo CvxAlgGeo Public

   A small Sage package for Polynomial Optimization using tools from real algebraic geometry.

   Python 4 2