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3.7.0 ddsp-3.7.0-py2.py3-none-any.whl

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Project: ddsp
Version: 3.7.0
Filename: ddsp-3.7.0-py2.py3-none-any.whl
Download: [link]
Size: 213782
MD5: fe3af28bf40ea1767f629d604edd437c
SHA256: eb749a47ef336a4049113b6c4de150901f925541fa94770cad369c1090196ee9
Uploaded: 2023-05-25 02:29:32 +0000

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

METADATA

Metadata-Version: 2.1
Name: ddsp
Version: 3.7.0
Summary: Differentiable Digital Signal Processing
Author: Google Inc.
Author-Email: no-reply[at]google.com
Home-Page: http://github.com/magenta/ddsp
License: Apache 2.0
Keywords: audio dsp signalprocessing machinelearning music
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: absl-py
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Requires-Dist: future
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Requires-Dist: google-cloud-storage
Requires-Dist: hmmlearn (<=0.2.7)
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Requires-Dist: protobuf (<=3.20)
Requires-Dist: mir-eval (<=0.7)
Requires-Dist: note-seq (<0.0.4)
Requires-Dist: numpy (<1.24)
Requires-Dist: scipy (<=1.10.1)
Requires-Dist: six
Requires-Dist: tensorflow (<=2.11)
Requires-Dist: tensorflowjs (<3.19)
Requires-Dist: tensorflow-probability (<=0.19)
Requires-Dist: tensorflow-datasets (<=4.9)
Requires-Dist: tflite-support (<=0.1)
Requires-Dist: apache-beam; extra == "data_preparation"
Requires-Dist: pyparsing (<=2.4.7); extra == "data_preparation"
Requires-Dist: gevent; extra == "gcp"
Requires-Dist: google-api-python-client; extra == "gcp"
Requires-Dist: google-compute-engine; extra == "gcp"
Requires-Dist: oauth2client; extra == "gcp"
Requires-Dist: pytest; extra == "test"
Requires-Dist: pylint (!=2.5.0); extra == "test"
Provides-Extra: data_preparation
Provides-Extra: gcp
Provides-Extra: test
License-File: LICENSE
[No description]

WHEEL

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Tag: py2-none-any
Tag: py3-none-any

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ddsp-3.7.0.dist-info/RECORD — —

top_level.txt

ddsp

entry_points.txt

[console_scripts]
ddsp_ai_platform = ddsp.training.docker.ddsp_ai_platform:console_entry_point
ddsp_export = ddsp.training.ddsp_export:console_entry_point
ddsp_generate_synthetic_dataset = ddsp.training.data_preparation.ddsp_generate_synthetic_dataset:console_entry_point
ddsp_prepare_tfrecord = ddsp.training.data_preparation.ddsp_prepare_tfrecord:console_entry_point
ddsp_run = ddsp.training.ddsp_run:console_entry_point