A software framework for the duck (operator learning) renormalization group.
Project description
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file rogerluo_duck-0.3.2.tar.gz
.
File metadata
- Download URL: rogerluo_duck-0.3.2.tar.gz
- Upload date:
- Size: 123.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
f7bbdc9875896be696d7633536900aa7595fb76aa1c8d77db997bfee70c247a1
|
|
MD5 |
1a55601d64427ff5dbab2d74bae3ab49
|
|
BLAKE2b-256 |
0c784d64fff1afea767915978fcbecea499cbb99e8e5ba9f48bc1ec7476b2d38
|
Provenance
The following attestation bundles were made for rogerluo_duck-0.3.2.tar.gz
:
Publisher:
release.yml
on Roger-luo/duck
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1
-
Predicate type:
https://docs.pypi.org/attestations/publish/v1
-
Subject name:
rogerluo_duck-0.3.2.tar.gz
-
Subject digest:
f7bbdc9875896be696d7633536900aa7595fb76aa1c8d77db997bfee70c247a1
- Sigstore transparency entry: 153224453
- Sigstore integration time:
-
Permalink:
Roger-luo/duck@be41d63e519a8cbf44cc93f25cf241a13fe7e6ee
-
Branch / Tag:
refs/tags/v0.3.2
- Owner: https://github.com/Roger-luo
-
Access:
private
-
Token Issuer:
https://token.actions.githubusercontent.com
-
Runner Environment:
github-hosted
-
Publication workflow:
release.yml@be41d63e519a8cbf44cc93f25cf241a13fe7e6ee
-
Trigger Event:
push
-
Statement type:
File details
Details for the file rogerluo_duck-0.3.2-py3-none-any.whl
.
File metadata
- Download URL: rogerluo_duck-0.3.2-py3-none-any.whl
- Upload date:
- Size: 56.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
c656e8b31a0d6b2692273479a9d67207be3e051b523adcca260b7de67874ec05
|
|
MD5 |
e578254d793625c06b57f54b62ad1132
|
|
BLAKE2b-256 |
2eae8a75cf66aada65c6b9df06627ab7bf7d9363ef0c8b5ac076f95c6f27a2e2
|
Provenance
The following attestation bundles were made for rogerluo_duck-0.3.2-py3-none-any.whl
:
Publisher:
release.yml
on Roger-luo/duck
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1
-
Predicate type:
https://docs.pypi.org/attestations/publish/v1
-
Subject name:
rogerluo_duck-0.3.2-py3-none-any.whl
-
Subject digest:
c656e8b31a0d6b2692273479a9d67207be3e051b523adcca260b7de67874ec05
- Sigstore transparency entry: 153224454
- Sigstore integration time:
-
Permalink:
Roger-luo/duck@be41d63e519a8cbf44cc93f25cf241a13fe7e6ee
-
Branch / Tag:
refs/tags/v0.3.2
- Owner: https://github.com/Roger-luo
-
Access:
private
-
Token Issuer:
https://token.actions.githubusercontent.com
-
Runner Environment:
github-hosted
-
Publication workflow:
release.yml@be41d63e519a8cbf44cc93f25cf241a13fe7e6ee
-
Trigger Event:
push
-
Statement type: