WatChMaL: Water Cherenkov Machine Learning framework
WatChMaL: machine-learning framework for water Cherenkov detectors (Hyper-K, IWCD)
PyTorch+Hydra framework for training and applying ML models (CNN, ResNet, PointNet, GNN) for event reconstruction/classification in water Cherenkov detectors.
Get it
| Location | Role | Host | Formats | Size |
|---|---|---|---|---|
| https://github.com/WatChMaL/WatChMaL | primary | GitHub |
Metadata
| Licence | GPL-3.0-only |
|---|---|
| Access | Open |
| Purpose | Reconstruction |
| Development | unknown |
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Curation
| Status | Curated (candidate: harvested, not reviewed · curated: reviewed metadata · verified: resource downloaded and checked against its paper) |
|---|---|
| Added | 2026-10-23 |
| Curator notes | • found by targeted web search; verified: Read GitHub README and licence. • No public training datasets found. |