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setup.py
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setup.py
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from setuptools import setup
from setuptools import find_packages
long_description = '''
Keras is a high-level neural networks API,
written in Python. Keras-MXNet is capable of running on top of
high performance, scalable Apache MXNet deep learning engine.
Use Keras-MXNet if you need a deep learning library that:
- Allows for easy and fast prototyping
(through user friendliness, modularity, and extensibility).
- Supports both convolutional networks and recurrent networks,
as well as combinations of the two.
- Runs seamlessly on CPU, one GPU and multi-GPU.
Read the Keras documentation at: https://keras.io/
Read the Keras-MXNet documentation at:
https://github.com/awslabs/keras-apache-mxnet/tree/master/docs/mxnet_backend
For a detailed overview of what makes Keras special, see:
https://keras.io/why-use-keras/
Keras is compatible with Python 2.7-3.6
and is distributed under the MIT liense.
'''
setup(name='keras-mxnet',
version='2.2.2',
description='Deep Learning for humans. Keras with highly scalable,\
high performance Apache MXNet backend support.',
long_description=long_description,
author='Amazon Web Services',
url='https://github.com/awslabs/keras-apache-mxnet',
license='MIT',
install_requires=['numpy>=1.9.1',
'scipy>=0.14',
'six>=1.9.0',
'h5py>=2.7.1',
'pyyaml',
'keras_applications==1.0.4',
'keras_preprocessing==1.0.1'],
extras_require={
'visualize': ['pydot>=1.2.4'],
'tests': ['pytest',
'pytest-pep8',
'pytest-xdist',
'pytest-cov',
'pandas',
'requests'],
},
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules'
],
packages=find_packages())