pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "dropgrad"
version = "0.3.0"
authors = [
    {name = "Ryan Taylor", email = "ryan@beta-reduce.net"},
    {name = "Mudit Bhargava", email = "muditbhargava666@gmail.com"}
]
maintainers = [
    {name = "Ryan Taylor", email = "ryan@beta-reduce.net"},
    {name = "Mudit Bhargava", email = "muditbhargava666@gmail.com"}
]
description = "A PyTorch implementation of DropGrad regularization for Federated Learning."
readme = "README.md"
requires-python = ">=3.7"
keywords = ["neural networks", "machine learning", "federated learning", "torch", "dropgrad"]
license = {file = "LICENSE"}
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.7",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development",
    "Topic :: Software Development :: Libraries",
    "Topic :: Software Development :: Libraries :: Python Modules",
]
dependencies = [
    "numpy",
    "torch>=1.12.0",
    "torchvision>=0.13.0",
    "torchaudio>=0.12.0",
    "matplotlib",
    "scipy",
]

[project.urls]
Repository = "https://github.com/muditbhargava66/dropgrad"
Homepage = "https://github.com/muditbhargava66/dropgrad"
Issues = "https://github.com/muditbhargava66/dropgrad/issues"

[tool.setuptools]
packages = ["dropgrad"]

[tool.setuptools.package-data]
dropgrad = ["*.py"]