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pyproject.toml
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52 lines (47 loc) · 1.34 KB
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[build-system]
build-backend = "hatchling.build"
requires = ["hatchling"]
[project]
authors = [
{ email = "30631553+liblaf@users.noreply.github.com", name = "liblaf" },
]
classifiers = ["Private :: Do Not Upload"]
dependencies = [
"beartype>=0.19.0,<0.20",
"captum>=0.7.0,<0.8",
"jaxtyping>=0.2.36,<0.3",
"liblaf-toolkit>=0.0.11,<0.0.12",
"matplotlib>=3.9.2,<4",
"medmnist>=3.0.2,<4",
"opencv-python>=4.10.0.84,<5",
"pandas>=2.2.3,<3",
"polars>=1.15.0,<2",
"pooch>=1.8.2,<2",
"rich>=13.9.4,<14",
"scikit-learn>=1.5.2,<2",
"seaborn>=0.13.2,<0.14",
"statistics>=1.0.3.5,<2",
"tensorboard>=2.18.0,<3",
"tiktoken>=0.8.0,<0.9",
"torchinfo>=1.8.0,<2",
"tqdm>=4.66.6,<5",
"wandb>=0.19,<0.20", "pyarrow>=18.1.0,<19",
]
description = "Add a short description here"
name = "deep-learning"
requires-python = ">=3.12,<3.13"
version = "0.0.0"
[project.optional-dependencies]
dev = ["icecream"]
[tool.pixi.dependencies]
numpy = ">=2.1.3,<3"
pyg = { channel = "pyg", version = ">=2.6.1,<3" }
pytorch = { channel = "pytorch", version = "2.4.*" }
pytorch-cuda = { channel = "pytorch", version = "12.4.*" }
torchmetrics = ">=1.5.2,<2"
torchvision = { channel = "pytorch", version = ">=0.19.1,<0.20" }
[tool.pixi.environments]
default = ["dev"]
[tool.pixi.project]
channels = ["conda-forge", "nvidia", "pyg", "pytorch"]
platforms = ["linux-64"]