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pyproject.toml

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@@ -15,15 +15,9 @@ requires-python = ">=3.8"
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dependencies = [
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"torch",
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"numpy",
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"optuna",
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"torchvision",
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"tqdm",
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"scipy",
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"kornia",
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"timm"
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]
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[project.urls]
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leaderboard = "https://huggingface.co/spaces/Soptq/DD-Ranking"
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repository = "https://github.com/NUS-HPC-AI-Lab/DD-Ranking"
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documentation = "https://nus-hpc-ai-lab.github.io/DD-Ranking/"

setup.py

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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',
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author='DD-Ranking Team',
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author='Data Intelligence Team',
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author_email='[email protected]',
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url={
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'leaderboard': 'https://huggingface.co/spaces/Soptq/DD-Ranking',
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'repository': 'https://github.com/NUS-HPC-AI-Lab/DD-Ranking',
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'documentation': 'https://nus-hpc-ai-lab.github.io/DD-Ranking/'
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},
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# url={
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# 'leaderboard': 'https://github.com/NUS-HPC-AI-Lab/DD-Ranking',
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# 'repository': 'https://github.com/NUS-HPC-AI-Lab/DD-Ranking',
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# 'documentation': 'https://github.com/NUS-HPC-AI-Lab/DD-Ranking'
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# },
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# license='MIT', # License type
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include_dirs=['dd_ranking', 'configs'],
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include_package_data=True,

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