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denoisers

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0.2.0 denoisers-0.2.0-py3-none-any.whl

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Project: denoisers
Version: 0.2.0
Filename: denoisers-0.2.0-py3-none-any.whl
Download: [link]
Size: 26803
MD5: b8dee2a9b3e2f19791b4572728da8d33
SHA256: 1be19a5f6bc77a630c42644823b62cf661ad05bbbc67e64895553f52f482e563
Uploaded: 2024-12-06 20:16:12 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: denoisers
Version: 0.2.0
Summary: A package for training audio denoisers
Author-Email: Will Rice <wrice20[at]gmail.com>
Project-Url: Homepage, https://github.com/will-rice/denoisers
Project-Url: Bug Tracker, https://github.com/will-rice/denoisers/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: mypy (>=1.13.0)
Requires-Dist: pydocstyle (>=6.3.0)
Requires-Dist: pytest (>=8.3.3)
Requires-Dist: pytorch-lightning (>=2.4.0)
Requires-Dist: ruff (>=0.7.4)
Requires-Dist: torch (>=2.5.1)
Requires-Dist: torchaudio (>=2.5.1)
Requires-Dist: torchvision (>=0.20.1)
Requires-Dist: wandb (>=0.18.7)
Requires-Dist: matplotlib (>=3.9.2)
Requires-Dist: pedalboard (>=0.9.16)
Requires-Dist: pydub (>=0.25.1)
Requires-Dist: pyroomacoustics (>=0.8.2)
Requires-Dist: pre-commit (>=4.0.1)
Requires-Dist: librosa (>=0.10.2.post1)
Requires-Dist: transformers (>=4.46.3)
Requires-Dist: audiomentations (>=0.37.0)
Requires-Dist: onnxruntime (>=1.20.1)
Requires-Dist: pesq (>=0.0.4)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1498 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
denoisers/__init__.py sha256=cHQzynLSBetnXP9BzLShC-PM_wmhr8dO2YUnynHaZLA 356
denoisers/datamodule.py sha256=XhgjO85y8zIW5wrPN9lyR6xGPj9CGclYQLrCBWyx93U 1507
denoisers/lightning_module.py sha256=HGQgdpwnOr9d-l39OLKYtveGbWzy6b8xP_EhxB1FzvQ 6074
denoisers/losses.py sha256=i1nlU68mlkeLJFooD3wJyAeU6miChs5uOJpXf6FCCjs 4925
denoisers/metrics.py sha256=Mgct0vMMlXXKawt_3CcdXd7k9pnxull51cz1Pkn0Hi0 1491
denoisers/transforms.py sha256=duo8QScKlKWIGHzW5OVGOv_fcyLm5DPMWeEWMfBzzDM 10929
denoisers/utils.py sha256=Kd07I29s0kVkwyLdr4yarBki6uhRn_Hlk7Sz9Sz142o 3654
denoisers/datasets/__init__.py sha256=yu66ECZ_XEWjJJYgDiv81GZHFNdQ3u_FZeAvCAlsSck 41
denoisers/datasets/audio.py sha256=qtkwyFOx855p2sSZup2PqmFIh5VKOD_6u-kCTEiHWw8 2528
denoisers/modeling/__init__.py sha256=TVxVwd7fZ_6KYPoYGPx9aA8HdYqUhGHICbM8r0faI9M 628
denoisers/modeling/modules.py sha256=5FfrEp5ACfDDFYpEtdoCkU_NklwqflRS8jwY_7vtVbg 6743
denoisers/modeling/unet1d/__init__.py sha256=51XJQv5hQVhxe6v5DQAZZC5FTPoSkgU-tP6Wui7sMp4 178
denoisers/modeling/unet1d/config.py sha256=qXzfTBLsiV6_UQAkWXAoQac7Jx4iax8MYZqn68J5j2A 1180
denoisers/modeling/unet1d/model.py sha256=z0Txjt5He69HbrgDWuuIPHTK0FyNMnSiVQqmRFflbwQ 3952
denoisers/modeling/unet1d/modules.py sha256=5kCLCrZlSjDUJF8TG3Wxn-HM82ujoFhgrdpXdynFFSk 5095
denoisers/modeling/waveunet/__init__.py sha256=Z9ouwBvbNR-mDLnvQWDsCSCNLhpsHgZ4RKSTQOFeqKg 192
denoisers/modeling/waveunet/config.py sha256=YdGS-w-3gSdZp5QMcfKmAqSGfGB7QI1ufNhuKBmvuRQ 1338
denoisers/modeling/waveunet/model.py sha256=SrCt-hwLKeKgfdT1OwXAW7RFR7TiiflM_rICBob9un4 4310
denoisers/modeling/waveunet/modules.py sha256=n4_G39putp0-qJt9Ubggz6KRlZR2qnRB1nlVcOaNnU0 2314
denoisers/scripts/__init__.py sha256=FHTehDnYNG_D-igx0dmiNGw6Wz5ZD4tL19H5GiVVRB0 15
denoisers/scripts/publish.py sha256=9pxng8Er0mv9qSh36FNwwyY3DvTZgBHqdozX6jRQaZA 584
denoisers/scripts/train.py sha256=p3OjlrMlEDYRSNhcrBJxUW9KjEaeE15PgFn3GezFOK4 3287
denoisers/testing/__init__.py sha256=qVXH1MXoBe9Dozdmbp5_VdM9QCTPCogkoj69cgFZiNY 568
denoisers-0.2.0.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
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denoisers-0.2.0.dist-info/entry_points.txt sha256=JSN0A8CSvw-roO3lPaV5bPJs_PQj8iKYcLlBcI6h6M8 96
denoisers-0.2.0.dist-info/top_level.txt sha256=ALqrwmndSGqQ042t1ggbnhBINlsHKtwLToolw_owpeU 10
denoisers-0.2.0.dist-info/RECORD — —

top_level.txt

denoisers

entry_points.txt

[console_scripts]
publish = denoisers.scripts.publish:main
train = denoisers.scripts.train:main