stsfk's repositories
deep_lumped
deep lumped hydrological models
explainable_ml_hydro
This repository provides code for building XGBoost models for rainfall-runoff modeling and explaining the predictions using SHAP.
swmm_gi_toolbox
Toolbox for coupling green infrastructure models and SWMM model
APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
APM_lab
Lab sessions of Applied Predictive Modeling
bioretention_optimize
The repo contains code for optimizing bioretention surface and drainage areas
ExplainableML_SuDS
Code for modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods
Generative_catchment
Paper on "Modelling catchments – a data generating prospective".
GIFMod
GIFMod project
hydropy
Analysis of hydrological oriented time series.
indexing_catchment_model
Indexing catchments and hydrological models
KALIv2
KALIv2
qgis-swmm
Extends QGIS processing framework to models storm water management systems
r4ds
R for data science
train_generative_model_tutorial
Tutorial for training generative model
vecstack
Python package for stacking (machine learning technique)