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 7 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
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