EEGFaceSem / pyproject.toml
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EEGFaceSem: processed data, code, models
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "EEGFaceSem"
version = "0.1.0"
description = "EEG Dataset for Semantic Visual Response - CVPR 2024"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.8"
authors = [
{name = "Anonymous Author", email = "anonymous@email.com"}
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"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",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
keywords = ["eeg", "brain-signals", "neuroscience", "face-perception"]
dependencies = [
"numpy>=1.21",
"scipy>=1.7",
"scikit-learn>=1.0",
"mne>=1.0",
"huggingface_hub>=0.14",
"tqdm",
]
[project.optional-dependencies]
tensorflow = ["tensorflow>=2.9"]
torch = ["torch>=2.0"]
full = [
"tensorflow>=2.9",
"torch>=2.0",
"Pillow>=10.0",
]
dev = [
"pytest",
"black",
"flake8",
]
[project.urls]
Homepage = "https://huggingface.co/datasets/yefllower/EEGFaceSem"
Repository = "https://huggingface.co/datasets/yefllower/EEGFaceSem"
[tool.setuptools.packages.find]
where = ["."]
include = ["EEGFaceSem*"]