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"""
DML-PY - A Collaborative Deep Learning Library
"""
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="pytorch-dml",
version="1.1.0",
author="Varun Rao",
author_email="varunrao.gd@gmail.com",
description="A production-ready library for Deep Mutual Learning and collaborative neural network training",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/VARUN3WARE/dml-py",
project_urls={
"Bug Tracker": "https://github.com/VARUN3WARE/dml-py/issues",
"Documentation": "https://github.com/VARUN3WARE/dml-py/blob/main/README.md",
"Source Code": "https://github.com/VARUN3WARE/dml-py",
},
packages=find_packages(exclude=["tests", "tests.*", "examples", "validation_tests"]),
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Education",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Operating System :: OS Independent",
],
keywords="deep-learning mutual-learning knowledge-distillation pytorch collaborative-learning neural-networks",
python_requires=">=3.8",
install_requires=[
"torch>=2.0.0",
"torchvision>=0.15.0",
"numpy>=1.21.0",
"tqdm>=4.65.0",
"tensorboard>=2.13.0",
"matplotlib>=3.5.0",
],
extras_require={
"dev": [
"pytest>=7.3.0",
"pytest-cov>=4.1.0",
"black>=23.3.0",
"flake8>=6.0.0",
"isort>=5.12.0",
"mypy>=1.3.0",
"sphinx>=6.2.0",
"sphinx-rtd-theme>=1.2.0",
],
"optuna": [
"optuna>=3.0.0",
],
"onnx": [
"onnx>=1.14.0",
"onnxruntime>=1.15.0",
],
"all": [
"optuna>=3.0.0",
"onnx>=1.14.0",
"onnxruntime>=1.15.0",
"jupyter>=1.0.0",
"seaborn>=0.12.0",
],
},
include_package_data=True,
package_data={
"pydml": ["py.typed"],
},
)