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setup.py
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from setuptools import setup
from setuptools import find_packages
long_description = '''
SciANN is an Artificial Neural Netowork library,
based on Python, Keras, and TensorFlow, designed
to perform scientific computations, solving ODEs
and PDEs, curve-fitting, etc, very efficiently.
Read the documentation at: https://sciann.com
SciANN is compatible with Python 2.7-3.6
and is distributed under the MIT license.
'''
setup(
name='SciANN',
version='0.7.0.1',
description='A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.',
long_description=long_description,
author='Ehsan Haghighat',
author_email='[email protected]',
license='MIT',
url='https://github.com/sciann/sciann',
install_requires=['numpy',
'scipy',
'six',
'pyyaml',
'h5py',
'scikit-learn',
'pybtex',
#'tensorflow>=2.6.0,<=2.9.5',
],
extras_require={
'visualize': ['pydot>=1.2.4', 'matplotlib'],
'tests': ['pytest',
'pytest-pep8',
'pytest-xdist',
'flaky',
'pytest-cov',
'pandas',
'requests',
'graphviz',
'pydot',
'markdown',
'matplotlib',
'pyux',
],
},
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules'
],
packages=find_packages(),
include_package_data=True
)