LiqueANN : Artificial Neural Network model for predicting soil liquefaction potential.
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Updated
Oct 24, 2025 - Python
LiqueANN : Artificial Neural Network model for predicting soil liquefaction potential.
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.
A collection of tools developed by the Next Generation Liquefaction modelers.
This is the inventory with which I gathered data for the Tufts Geohazards research group's Global Geospatial Liquefaction Model (GGLM).
Code and data to estimate models for predicting seismic soil liquefaction potential
This Repository hosts a script collection to facilitate simulations and output post-processing automation for geoseismic practice related software
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.
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