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| Type: | Resource | |
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| Created: | Nov 06, 2025 at 5:50 p.m. (UTC) | |
| Last updated: | Nov 09, 2025 at 3:03 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
A Rust implementation of a BMI (Basic Model Interface) adapter for LSTM-based streamflow prediction, providing a drop-in replace.
Active Development - This package is currently under active development. The outputs produced match those of the Python BMI LSTM implementation and it runs faster, but the code quality is not yet at the same level as the Python implementation.
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| docs_url | https://docs.ciroh.org/docs/products/ngiab/community-nextgen-repos/rust-lstm |
| page_url | https://github.com/CIROH-UA/rust-lstm |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic and Atmospheric Administration (NOAA), University of Alabama | CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare | NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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