Pinned Loading

1. diff-hydrodiff-hydroPublic

   Differentiable hydrological modeling with neural network-based physical parameter learning.

   Jupyter Notebook 2

2. DesignFlood-Change-UncertaintyDesignFlood-Change-UncertaintyPublic

   Uncertainty in design-flood change projection using process-based, deep learning and hybrid models.

   Python 2

3. Bayesian-Flood-PoolingBayesian-Flood-PoolingPublic

   There is large uncertainty in hydrological change projections; this project explores Bayesian pooling techniques to improve the accuracy of change in design flood predictions under climate change.

   Python 1

4. LSTM-RainfallRunoff-ModelLSTM-RainfallRunoff-ModelPublic

   Python script for a LSTM based rainfall-runoff hydrological model trained on multiple basins.

   Python 4 1

5. Attention-LSTM-PUBAttention-LSTM-PUBPublic

   A deep learning architecture that combines LSTM with attention to improve streamflow prediction in ungauged basins (PUB).

   Python 1

6. NEP-Hydro-ClimateNEP-Hydro-ClimatePublic

   Hydrological modeling and climate change impact assessment on key design statistics of small hydropower projects in Nepal.

   Python 1