museflow
museflow is an experimental music sequence learning toolkit, built on top of TensorFlow.
The most important modules are:
museflow.components– building blocks for TensorFlow models (e.g. RNN decoder)museflow.encodings– classes defining ways to encode music for use with the modelsmuseflow.trainer– a basic implementation of model loading, saving and trainingmuseflow.models– implementations of basic models (accessible via themuseflow modelcommand)museflow.scripts– pre- and post-processing scripts (accessible via themuseflow scriptcommand)
To install, run:
pip install 'museflow[gpu]'
To install without GPU support:
pip install 'museflow[nogpu]'
License
This software is distributed under the BSD 3-Clause License.
Copyright 2019 Ondřej Cífka of Télécom Paris, Institut Polytechnique de Paris.
All rights reserved.
1 maintainer
Metadata
1 maintainer
Release files for museflow 1.0.0
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| File | Size | Uploaded | Provenance | Actions |
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| museflow-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for museflow-1.0.0-py3-none-any.whl |
Total release size: 61.9 kB
Release files / museflow-1.0.0.tar.gz
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Release files / museflow-1.0.0-py3-none-any.whl
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