NeuralHydrology
Predicts streamflow from rainfall using LSTM models
- Field
- Hydrology
- Method
- Deep learning
- Data it takes
- time-series
- License
- BSD-3-Clause
NeuralHydrology trains and runs LSTM rainfall-runoff models, which have matched or exceeded conceptual hydrological models on benchmark catchments. Models pretrained on CAMELS provide a starting point for gauged basins.
Runs on CPU. Where a catchment has insufficient history for fine-tuning, TimesFM forecasts without training.
Catalog entry last checked 2026-08-17. All models →
Run NeuralHydrology on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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