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1. PaML PaML Public

   Physics-aware ML (PaML) aims to take the best from both physics-based modeling and state-of-the-art ML models to better solve scientific problems (https://doi.org/10.1016/j.earscirev.2025.105276)

   7 1

2. FloodCast FloodCast Public

   Large-scale flood modeling and forecasting with FloodCast (https://doi.org/10.1016/j.watres.2024.122162)

   Python 40 12

3. Landslidecast Landslidecast Public

   HydroPML for landslide dynamic process modeling and forecast (https://doi.org/10.1029/2023EA003417)

   Python 8 3

4. DisasterNets DisasterNets Public

   https://arxiv.org/abs/2306.09815

   6 2

5. Dataset4HydroPML Dataset4HydroPML Public

   2

6. UrbanFloodCast UrbanFloodCast Public

   Urban flood modeling and forecasting with deep neural operator and transfer learning (https://doi.org/10.1016/j.jhydrol.2025.133705)

   Python 8 6