semvec/pypi-packages huggingface dataset:
museflow 1.0.0
Music sequence learning toolkit
Requires Python: >=3.6

# 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 models
- `museflow.trainer` – a basic implementation of model loading, saving and training
- `museflow.models` – implementations of basic models (accessible via the `museflow model` command)
- `museflow.scripts` – pre- and post-processing scripts (accessible via the `museflow script` command)

To install, run:
```sh
pip install 'museflow[gpu]'
```
To install without GPU support:
```sh
pip install 'museflow[nogpu]'
```

## License
This software is distributed under the [BSD 3-Clause License](https://github.com/cifkao/museflow/blob/master/LICENSE).

Copyright 2019 Ondřej Cífka of Télécom Paris, Institut Polytechnique de Paris.  
All rights reserved.