{
  "access": "open",
  "curation": {
    "added": "2026-10-23",
    "quality_notes": ["found by targeted web search; verified: Read GitHub README and licence.", "No public training datasets found."],
    "source": "web search (fits_pheno_lists, 2026-10-23)",
    "status": "curated"
  },
  "description": "PyTorch+Hydra framework for training and applying ML models (CNN, ResNet, PointNet, GNN) for event reconstruction/classification in water Cherenkov detectors.",
  "distributions": [
    {
      "host": "github",
      "role": "primary",
      "url": "https://github.com/WatChMaL/WatChMaL"
    }
  ],
  "id": "watchmal",
  "license": "GPL-3.0-only",
  "short": "WatChMaL: machine-learning framework for water Cherenkov detectors (Hyper-K, IWCD)",
  "software": {
    "development_status": "unknown",
    "interfaces": ["library"],
    "purposes": ["reconstruction"],
    "repository": "https://github.com/WatChMaL/WatChMaL"
  },
  "sources": ["accelerator", "atmospheric"],
  "title": "WatChMaL: Water Cherenkov Machine Learning framework",
  "topics": ["detector-response"],
  "type": "software",
  "url_landing": "https://github.com/WatChMaL/WatChMaL"
}