AutoNeuroNet/pyproject.toml at main · RishabSA/AutoNeuroNet · GitHub

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[build-system]
requires = ["scikit-build-core", "pybind11"]
build-backend = "scikit_build_core.build"

[project]
name = "autoneuronet"
version = "0.1.10"
description = "AutoNeuroNet is a fully implemented automatic differentiation engine with custom matrices, a full neural network architecture, and a training pipeline. It comes with Python bindings via PyBind11, enabling quick, easy network development in Python, backed by C++ for enhanced speed and performance."
readme = "README.md"
requires-python = ">=3.9"
license = { file = "LICENSE" }
authors = [{ name = "Rishab Alagharu", email = "rishabsaia@gmail.com" }]
keywords = ["derivative", "gradient", "matrix", "machine learning", "deep learning", "neural network"]
classifiers = [
    "Programming Language :: Python :: 3",
    "Programming Language :: C++",
    "License :: OSI Approved :: Apache Software License",
    "Operating System :: OS Independent",
]

[project.optional-dependencies]
demo = ["numpy", "matplotlib", "scikit-learn", "torchvision"]
dev = ["build", "twine", "cibuildwheel"]

[tool.scikit-build]
cmake.version = ">=3.20"
sdist.include = [
    "CMakeLists.txt",
    "pybind_wrapper.cpp",
    "python/**",
    "include/**",
    "src/**",
    "README.md",
    "LICENSE"
]

[project.urls]
Homepage = "https://github.com/RishabSA/AutoNeuroNet"
Repository = "https://github.com/RishabSA/AutoNeuroNet"
Documentation = "https://rishabsa.github.io/AutoNeuroNet/"