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FWI Resolution Increase

├── configs
│   └── params.yaml
├── data # All datasets used in the project
│   ├── data_summary.json
│   ├── external
│   │   └── economic
│   ├── interim
│   │   ├── Greece
│   │   ├── portugal
│   │   └── Southeast Australia
│   ├── processed
│   │   └── portugal
│   └── raw
│       ├── australia
│       ├── greece
│       └── portugal
├── models # Trained model checkpoints
│   ├── ablation_feature
│   │   └── ablation_feature_best.pt
│   ├── ablation_loss
│   │   └── ablation_loss_best.pt
│   └── primary_unet
│       ├── unet_fold_NE_best.pt
│       ├── unet_fold_NW_best.pt
│       ├── unet_fold_SE_best.pt
│       └── unet_fold_SW_best.pt
├── README.md
├── reports # Final figures and tables for thesis
│   ├── figures
│   │   ├── ablation_model_comparison.png
...
│   │   ├── portugal_overview_comparison.png
│   └── logs
│       ├── training_log_corrected.txt
│       └── training_log.txt
├── results
│   ├── baseline_final
│   ├── baseline_predictions

│   ├── metrics
│   │   └── high_risk_detection.json
│   ├── model_predictions
│   └── tables
│       ├── high_risk_detection_metrics.md
│       └── high_risk_detection_metrics.tex
├── sandbox #experimental scripts and utilities
│   ├── verify_dataset.py
...
│   └── verify_normalization.py
├── scripts # Main executable scripts for each step of the workflow
│   ├── 01_create_grid.py
...
│   ├── 15_economic_impact_test.py
│   ├── 17_highrisk_checker.py
│   ├── generate_unet_predictions.py
├── src # Core codebase
├── uerra_processing.log
├── uv.lock
├── verification_01_master_grid.png
└── verification_02_fwi.png

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ML project to increase FWI resolution – Guy Carpenter Summer Research 2025

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