pyproject.toml

[project]
name = "deep-learning-notes"
version = "2026.06.11"
keywords = ["deep learning tutorials", "PyTorch", "Quarto"]
description = "A collection of notes and code examples for deep learning concepts and techniques."
authors = [{ name = "jshn9515", email = "jshn9510@gmail.com" }]
readme = "README.md"
license = "CC BY-NC 4.0"
requires-python = ">=3.14,<3.15"
dependencies = [
    # Deep learning core libraries
    "torch>=2.12.0,<2.13.0",
    "torchvision>=0.27.0,<0.28.0",
    "torchmetrics>=1.9.0,<1.10.0",
    "accelerate>=1.14.0,<1.15.0",
    "transformers>=5.12.0,<5.13.0",
    "diffusers>=0.38.0,<0.39.0",
    "datasets>=5.0.0,<5.1.0",
    "evaluate>=0.4.0,<0.5.0",
    "opt-einsum>=3.4.0,<3.5.0",

    # Jupyter and related tools
    "ipython>=9.10.0",
    "ipywidgets>=8.0.0",
    "jupyterlab>=4.3.0",
    "jupyter-cache>=1.0.0",

    # Data processing and visualization
    "numpy>=2.5.0,<2.6.0",
    "pandas>=3.0.0,<3.1.0",
    "pillow>=12.3.0,<12.4.0",
    "matplotlib>=3.11.0,<3.12.0",
    "scipy>=1.18.0,<1.19.0",
    "seaborn>=0.13.0,<0.14.0",
    "scikit-learn>=1.9.0,<1.10.0",
    "opencv-contrib-python>=4.13.0,<4.14.0",

    # Data download and management
    "gdown>=6.1.0,<6.2.0",
]

[project.urls]
Homepage = "https://github.com/jshn9515/deep-learning-notes"

[tool.uv.sources]
torch = { index = "pytorch" }
torchvision = { index = "pytorch" }

[[tool.uv.index]]
name = "pytorch"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.uv.workspace]
members = ["dnnlpy"]