# kratzert/ealstm\_regional\_modeling

<https://repo.masters-masters.com/en/repos/kratzert/ealstm_regional_modeling>

[Home](https://repo.masters-masters.com/en) › [kratzert](https://repo.masters-masters.com/en/owners/kratzert) › [ealstm\_regional\_modeling](https://repo.masters-masters.com/en/repos/kratzert/ealstm_regional_modeling)

kratzert/ealstm\_regional\_modeling has 112 stars on GitHub. Its RepoMasters card: Prototype tier. Accompanying code for our HESS paper "Towards learning…

| Field | Value |
| --- | --- |
| Owner | [kratzert](https://repo.masters-masters.com/en/owners/kratzert) |
| Stars | 112 |
| Forks | 55 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [kratzert/ealstm\_regional\_modeling](https://github.com/kratzert/ealstm_regional_modeling) |

## Repository

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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