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swc-bb / swc-pages / 2020-06-22-virtual
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-lessons / 2020-06-22-Potsdam-Berlin / Git
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-lessons / 2020-06-22-Potsdam-Berlin / Python
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-lessons / 2020-06-22-Potsdam-Berlin / Shell
Creative Commons Attribution 4.0 InternationalUpdated -
sec15pub / GCex
GNU Lesser General Public License v2.1 onlyGCex is an interactive exploration prototype for geochemical simulation data. It implements an early version of Stacked Parameter Relation (SPR) visualization which guides the user to interesting relationships in the data from the model.
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swc-bb / swc-lessons / 2020-04-20-Potsdam-Berlin / Python
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-pages / 2020-04-20-Potsdam-Berlin
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-pages / 2020-03-24-Potsdam-Berlin
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-lessons / 2019-11-26-Potsdam-Berlin / R
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-pages / 2019-11-26-Potsdam-Berlin
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-lessons / 2019-11-26-Potsdam-Berlin / Shell
Creative Commons Attribution 4.0 InternationalUpdated -
swc-bb / swc-lessons / 2019-11-26-Potsdam-Berlin / Git
Creative Commons Attribution 4.0 InternationalUpdated -
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sec15pub / Surrogate_playground
GNU Lesser General Public License v2.1 onlyThis is the core of the auto ML approach that does model fitting, validation, and selection mostly using caret interfaces. It was written for automatically finding suitable machine learning models for table regression tasks.
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