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0.0.31 selfclean-0.0.31-py3-none-any.whl

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Project: selfclean
Version: 0.0.31
Filename: selfclean-0.0.31-py3-none-any.whl
Download: [link]
Size: 172307
MD5: ea65f86b0501dd3d30e44566c65f6cdc
SHA256: 7e375279be98c754633a53fed71eeeba1d62b7b8e419094ec389fc262f902d44
Uploaded: 2024-10-31 10:55:07 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: selfclean
Version: 0.0.31
Summary: A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
Author: Fabian Groeger
Author-Email: fabian.groeger[at]unibas.ch
Home-Page: https://github.com/Digital-Dermatology/SelfClean
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: SciencePlots
Requires-Dist: black (>=22.6)
Requires-Dist: codecov
Requires-Dist: coverage (>=6)
Requires-Dist: darglint (>=1.8)
Requires-Dist: einops
Requires-Dist: isort (>=5.10)
Requires-Dist: jupyter
Requires-Dist: loguru
Requires-Dist: matplotlib
Requires-Dist: memory-profiler
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pre-commit (>=2.20)
Requires-Dist: pytest
Requires-Dist: pytest-cov (>=3)
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
Requires-Dist: seaborn
Requires-Dist: torchinfo
Requires-Dist: torchmetrics
Requires-Dist: torchvision
Requires-Dist: tqdm
Requires-Dist: transformers
Requires-Dist: annoy; extra == "approximate-nn"
Provides-Extra: approximate_nn
Description-Content-Type: text/markdown
License-File: LICENSE.md
[Description omitted; length: 4109 characters]

WHEEL

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selfclean-0.0.31.dist-info/RECORD — —

top_level.txt

selfclean