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Release v0.1.1
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README.md

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*Latest News* 🔥
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[Latest] Our PyPI package is officially released! Users can now install DD-Ranking via `pip install ddranking`.
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[Latest] We have fixed some bugs and released a new version of DD-Ranking. Please update your package via `pip install ddranking --upgrade`.
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<details>
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<summary>Unfold to see more details.</summary>
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<br>
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- [2025/01] Our PyPI package is officially released! Users can now install DD-Ranking via `pip install dd_ranking`.
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- [2025/01] We have fixed some bugs and released a new version of DD-Ranking. Please update your package via `pip install ddranking --upgrade`.
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- [2025/01] Our PyPI package is officially released! Users can now install DD-Ranking via `pip install ddranking`.
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- [2024/12] We officially released DD-Ranking! DD-Ranking provides us a new benchmark decoupling the impacts from knowledge distillation and data augmentation.
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</details>
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dist/ddranking-0.1.0.tar.gz

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dist/ddranking-0.1.1.tar.gz

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pyproject.toml

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[project]
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name = "ddranking"
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version = "0.1.0"
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version = "0.1.1"
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description = "DD-Ranking: Rethinking the Evaluation of Dataset Distillation"
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readme = "README.md"
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requires-python = ">=3.8"

setup.py

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setup(
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name='ddranking', # Package name
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version='0.1.0', # Version number
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version='0.1.1', # Version number
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description='DD-Ranking: Rethinking the Evaluation of Dataset Distillation',
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long_description=open('README.md').read(), # Use your README as the long description
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long_description_content_type='text/markdown',

theme/book.css

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