pyproject.toml

[project]
name = "EEG-Classifiers-Ensemble"
version = "0.1.7"
requires-python = ">=3.10, <4"
authors = [
  {name = "Alma Cuevas", email = "almarosa.arcr@gmail.com"}
]
description = "Tools for processing and classifying EEG tasks in real-time."
readme = "README.md"
license = {file = "LICENSE"}
keywords = ["EEG", "classification", "ERP", "feature extraction", "transforms"]

[tool.poetry]
name = "EEG-Classifiers-Ensemble"
version = "0.1.7"
description = "Tools for processing and classifying EEG tasks in real-time."
authors = ["AlmaCuevas <almarosa.arcr@gmail.com>"]
license = "MIT"
readme = "README.md"

[tool.poetry.dependencies]
python = ">=3.10, <4"
pyriemann = "0.5"
keras = "2.14.0"
matplotlib = "3.8.0"
matplotlib-inline = "0.1.6"
mne = "1.5.1"
numpy = "1.26.0"
pandas = "2.1.1"
scikit-learn = "1.3.1"
scipy = "1.11.3"
termcolor = "2.3.0"
torch = "2.1.0"
torchsummary = "1.5.1"
torchvision = "0.16.0"
tqdm = "4.66.1"
wget = "3.2"
skorch = "0.15.0"
braindecode = "0.4.85"
ema-pytorch = "0.3.0"
einops = "0.7.0"
emd = "0.4.0"
brainflow = "2.4.0"
keras-preprocessing = "1.1.2"
autoreject = "0.4.3"
pywavelets = "1.6.0"
dit = "1.5"
statsmodels = "0.14.2"
librosa = "0.10.2.post1"
pyinform = "0.2.0"
antropy = "0.1.6"
pre-commit = "3.7.1"
poetry = "1.8.3"


[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"