mlda: A Python package for Machine Learning-based Data Assimilation
mlda is a Python package for Machine Learning-base Data Assimilation (DA).
It aims to provide a universal framework and the corresponding utilities for conducting reproducible DA experiments using novel machine learning-based DA methods.
1 maintainer
Metadata
1 maintainer
Release files for mlda 2026.5.17.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlda-2026.5.17.13.tar.gz | 21.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlda-2026.5.17.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.5 kB
Release files / mlda-2026.5.17.13.tar.gz
| Download URL | mlda-2026.5.17.13.tar.gz |
|---|---|
| Size | 21.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.13.5
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Release files / mlda-2026.5.17.13-py3-none-any.whl
| Download URL | mlda-2026.5.17.13-py3-none-any.whl |
|---|---|
| Size | 24.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
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