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from setuptools import setup
from setuptools import find_packages
with open("README.md", 'r') as fh:
long_description = fh.read()
setup(name = "deeprobust",
version = "0.2.11",
author='MSU-DSE',
maintainer='MSU-DSE',
description = "A PyTorch library for adversarial robustness learning for image and graph data.",
long_description=long_description,
long_description_content_type = "text/markdown",
packages = find_packages(),
url='https://github.com/DSE-MSU/DeepRobust',
include_package_data=True,
install_requires = [
'matplotlib>=3.1.1',
'numpy>=1.17.1',
'torch>=1.2.0',
'scipy>=1.3.1',
'torchvision>=0.4.0',
'texttable>=1.6.2',
'networkx>=2.4',
'numba>=0.48.0',
'Pillow>=7.0.0',
'scikit_learn>=0.22.1',
'scikit-image>=0.0',
'tensorboardX>=2.0',
'tqdm>=3.0',
'gensim>=4.3.0'
],
classifiers=[
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Software Development :: Libraries",
],
license="MIT",
)
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