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1. DL_Application_for_Landslide_Susceptibility_Mapping DL_Application_for_Landslide_Susceptibility_Mapping Public

   Deep learning framework for Landslide Susceptibility Mapping using geospatial and environmental data. Employs DNN, 1D CNN, and LSTM with DBSCAN clustering to mitigate data sparsity. Features model …

   Jupyter Notebook 4

2. Landslide-Susceptibility-Bayesian-Neural-Network- Landslide-Susceptibility-Bayesian-Neural-Network- Public

   Bayesian Deep Neural Network in PyTorch for landslide susceptibility mapping with predictive uncertainty estimation.

   Jupyter Notebook 1

3. Soft_Computing_for_NDVI_Prediction Soft_Computing_for_NDVI_Prediction Public

   Implementation of soft computing techniques for NDVI prediction using satellite imagery and environmental data. Utilizes CatBoost, GBM, LightGBM, and XGBoost models to enhance vegetation health mon…

   Jupyter Notebook

4. ml_flood_susceptibility_mapping ml_flood_susceptibility_mapping Public template

   Leakage-aware flood susceptibility mapping using classical machine learning and strict spatial holdout, with reproducible preprocessing, explainability analysis, and benchmark comparison across eig…

   Python

5. LSM_ChittagongMetropolitonArea LSM_ChittagongMetropolitonArea Public

   Bayesian landslide susceptibility mapping for Chittagong, Bangladesh, with benchmark model comparison and uncertainty-aware deployment using Gaussian Process Classification.

   Python

6. rainfall-timeseries-forecasting rainfall-timeseries-forecasting Public

   A reproducible pipeline for rainfall time-series dataset generation in Google Earth Engine and forecasting with deep learning and machine learning models.

   Python