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PyHyOpt is a python wrapper providing an unified interface to HyOpt functionality, from parsing of input files through solving to output vizualization (coming).
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GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
gtsam.org https://github.com/borglab/gtsam
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HyOpt test case, using open data.
It includes the HyOpt model as a git submodule.
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Package for loading power system data into dataframes in a format similar to MATLAB
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Library for performing graph operations on power systems
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