pyproject.toml

[tool.poetry]
name = "app"
version = "0.1.0"
description = ""
authors = ["Benjamin"]

[tool.poetry.dependencies]
python = "^3.8"
scikit-learn = "^1.0.2"
librosa = "^0.9.1"
SoundFile = "^0.10.3"
matplotlib = "^3.5.2"
ray = {extras = ["tune"], version = "^1.12.0"}
mlflow = "^1.25.1"
bayesian-optimization = "^1.2.0"
audiomentations = "^0.25.1"
torch = {url = "https://download.pytorch.org/whl/cu113/torch-1.11.0%2Bcu113-cp38-cp38-linux_x86_64.whl"}
torchvision = {url = "https://download.pytorch.org/whl/cu113/torchvision-0.12.0%2Bcu113-cp38-cp38-linux_x86_64.whl"}
torchaudio = {url = "https://download.pytorch.org/whl/cu113/torchaudio-0.11.0%2Bcu113-cp38-cp38-linux_x86_64.whl"}
"fs.sshfs" = "^1.0.1"
fs = "^2.4.16"
seaborn = "^0.12.2"
pytorch-lightning = "1.9.0"
jsonargparse = {version = "4.17.0", extras = ["signatures"]}
black = "^23.1.0"
noisereduce = "^2.0.1"
mir-eval = "0.6"
numpy = "1.22.3"
torchlibrosa = "^0.1.0"
hydra-core = "^1.3.2"
omegaconf = "^2.3.0"
torchsampler = "^0.1.2"
statsmodels = "^0.14.1"

[tool.poetry.dev-dependencies]

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"