Duck - a package for the duck (operator learning) renormalization group
This package is a Python implementation of the duck (operator learning) renormalization group in JAX.
[!NOTE] There was an older implementation of the duck RG in teal, which was used for the first 2 versions of the duck RG theory paper.
[!IMPORTANT] This package is still under development in alpha stage, and the API may change in the future.
Installation
This package is available on PyPI, thus can be installed via pip:
pip install rogerluo-duck
However, we highly recommend using uv to install the package, run the following in your Python project.
uv add rogerluo-duck
Features
- a simple symbolic system for defining operators
- a set of differentiable local solvers defined on top of the above symbolic system
- implementation of the duck RG loss function
- a set of utilities for training and evaluating the machine learning model in the duck RG
Documentation
The documentation is available at https://rogerluo.dev/duck/.
License
This package is licensed under the Apache License 2.0.
1 maintainer
Metadata
1 maintainer
Release files for rogerluo-duck 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| rogerluo_duck-0.3.0.tar.gz | 122.9 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rogerluo_duck-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 179.1 kB
Release files / rogerluo_duck-0.3.0.tar.gz
| Download URL | rogerluo_duck-0.3.0.tar.gz |
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| Size | 56.1 kB |
| Tags | Python 3 |
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