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pyproject.toml
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63 lines (57 loc) · 1.65 KB
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[project]
version = "0.2.1"
name = "omar-rq"
description = "Wrapper library to use the OMAR-RQ models for audio music representation"
readme = "README.md"
license = { text = "AGPL-3.0 license" }
authors = [
{ name = "Pablo Alonso", email = "pablo.alonso@upf.edu" },
{ name = "Pedro Ramoneda", email = "pedro.ramoneda@upf.edu" },
{ name = "R. Oguz Araz", email = "recepoguz.araz@upf.edu" },
]
keywords = [
"deep learning",
"audio",
"transformers",
"mir",
"music",
"representation learning",
"self-supervised learning",
]
classifiers = [
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU Affero General Public License v3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries",
"Topic :: Multimedia :: Sound/Audio :: Analysis",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
]
requires-python = ">= 3.10"
dependencies = [
"lightning>=2.3,<3.0",
"torch>=2.6,<3.0",
"torchaudio>=2.6,<3.0",
"gin-config>=0.5,<1.0",
"einops>=0.8,<1.0",
"transformers>=4.50,<5.0",
]
[project.optional-dependencies]
dev = ["ruff~=0.14", "pytest"]
train = [
"bayesian_optimization~=1.5.1",
"matplotlib",
"scikit_learn~=1.5.2",
"scipy~=1.14.1",
"wandb",
]
[project.urls]
Issues = "https://https://github.com/MTG/omar-rq/issues/"
Homepage = "https://github.com/username/omar-rq/"
[build-system]
requires = ["setuptools>=65.5.0", "wheel"]
build-backend = "setuptools.build_meta"