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pyproject.toml
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[tool.poetry]
name = "mstoml"
version = "0.3.0"
description = "Dimensionality reduction and community classification from flow injection mass spectrometry."
authors = ["JosuaCarl <josi.carl@gmx.de>"]
readme = "README.md"
package-mode = true
[tool.poetry.dependencies]
python = "^3.11"
swig ="^4.2.1"
keras = "^3.2.0"
smac = "^2.0.2"
numpy = "^1.26.4"
pandas = "^2.2.1"
pyarrow = "^15.0.2"
plotly = "^5.20.0"
seaborn = "^0.13.2"
matplotlib = "^3.8.4"
scikit-learn = "^1.4.2"
tqdm = "^4.66.2"
gputil = "^1.4.0"
mat73 = "^0.63"
rsa = "^4.9"
jupyter = "^1.0.0"
configspace = "^0.7.1"
scipy = "^1.13.0"
pyopenms = "^3.1.0"
pydot = "^2.0.0"
tensorflow = "^2.16.1"
torch = "^2.2.2"
pytorch-cuda = "^12.1"
torchvision = "^0.17.2"
torchaudio = "^2.2.2"
mlflow = "^2.12.1"
databricks-sdk = "^0.25.1"
polars = "^0.20.21"
pyzmq = "26.0.3"
cuda-python = "^12.4.0"
pip = "^24.0"
openpyxl = "^3.1.2"
statsmodels = "^0.14.2"
[[tool.poetry.source]]
name = "nvidia"
url = "https://anaconda.org/nvidia/repo"
priority = "primary"
[[tool.poetry.source]]
name = "pytorch"
url = "https://anaconda.org/pytorch/repo"
priority = "supplemental"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"