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digital-twinning


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Author: András Urbanics, Áron Friedman, Bence Popovics, Emese Vastag, Noémi Friedman
Summary: A comprehensive package for digital twin model updating and predictive modeling using machine learning and uncertainty quantification techniques
Latest version: 0.1.8
Required dependencies: asyncio | catboost | emcee | gpce-model | ipython | lightgbm | matplotlib | numpy | pandas | plotly | salib | scikit-learn | scipy | seaborn | shap | torch | uncertain-variables | xgboost

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