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setup.py
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setup.py
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from setuptools import setup, find_packages
setup(
name = 'SOTA_SSL_Models',
packages = find_packages(),
version = '0.1.0',
license = 'MIT',
description = 'SOTA self-supervised contrastive learning models including simclr, byol, swav, moco, pirl, simsiam etc.',
author = 'Seri Lee',
author_email = 'sally20921@snu.ac.kr',
url = 'https://github.com/sally20921/SimSiam',
keywords = ['self-supervised learning', 'contrastive learning', 'SimCLR', 'BYOL', 'SwAV', 'MoCo', 'PIRL', 'SimSiam'],
install_requires = [
'torch',
],
classifiers = [
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.8',
],
)