diffWOFOST
The python package diffWOFOST is a differentiable implementation of WOFOST models using torch, allowing gradients to flow through the simulations for optimization and data assimilation.
Installation
You can install diffWOFOST using pip:
pip install diffwofost
To install the package in development mode, you can clone the repository and install it using pip:
pip install -e .[dev]
To work with notebooks, you need to install jupyterlab:
pip install jupyterlab
Documentation
The documentation for diffWOFOST is available at
https://WUR-AI.github.io/diffWOFOST.
Acknowledgements
The package diffWOFOST is developed in the
DeltaCrop project, a
collaboration between Wageningen University & Research and Netherlands eScience
Center.
1 maintainer
Metadata
1 maintainer
Release files for diffwofost 0.5.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| diffwofost-0.5.0.tar.gz | 67.1 kB | Without provenance | Details for diffwofost-0.5.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| diffwofost-0.5.0-py3-none-any.whl | Python 3 | none | any | Details for diffwofost-0.5.0-py3-none-any.whl |
Total release size: 147.2 kB
Release files / diffwofost-0.5.0.tar.gz
| Download URL | diffwofost-0.5.0.tar.gz |
|---|---|
| Size | 67.1 kB |
| Tags | Source |
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Release files / diffwofost-0.5.0-py3-none-any.whl
| Download URL | diffwofost-0.5.0-py3-none-any.whl |
|---|---|
| Size | 80.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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