PyPI Stats

Search

All packages
Top packages

Track packages

digital-twinning


PyPI page
Home page
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: 0.1.27
Required dependencies: asyncio | catboost | emcee | gpce-model | ipython | lightgbm | matplotlib | numpy | pandas | plotly | pyuff | salib | scikit-learn | scipy | seaborn | shap | torch | uncertain-variables | xgboost

Downloads last day: 106
Downloads last week: 373
Downloads last month: 2,332