LiqueANN : Artificial Neural Network model for predicting soil liquefaction potential.
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Apr 28, 2023 - Python
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liquefaction
Here are 9 public repositories matching this topic...
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.
python machine-learning matlab artificial-intelligence geotechnical-engineering smote boosting synthetic-dataset-generation liquefaction extreme-gradient-boosting explainable-machine-learning shapley-additive-explanations smote-oversampler kmeans-smote
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Mar 28, 2024 - Jupyter Notebook
Code and data to estimate models for predicting seismic soil liquefaction potential
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Nov 30, 2020
This is the inventory with which I gathered data for the Tufts Geohazards research group's Global Geospatial Liquefaction Model (GGLM).
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Apr 8, 2021 - Jupyter Notebook
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.
machine-learning lightgbm artficial-intelligence earthquake automl geotechnical-engineering explainable-artificial-intelligence earthquake-engineering liquefaction shap shear-waves gravel explainable-machine-learning shapley-additive-explanations lightgbm-classifier geotechnics flaml
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Mar 28, 2024 - Jupyter Notebook
This Repository hosts a script collection to facilitate simulations and output post-processing automation for geoseismic practice related software
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Apr 1, 2022 - Python
A collection of tools developed by the Next Generation Liquefaction modelers.
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Dec 12, 2024 - Python
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Oct 19, 2024
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