ghadjeres / deepbach

A Steerable Model for Bach Chorales Generation

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Run time and cost

This model costs approximately $0.0046 to run on Replicate, or 217 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on CPU hardware. Predictions typically complete within 46 seconds. The predict time for this model varies significantly based on the inputs.

Readme

DeepBach

This repository contains implementations of the DeepBach model described in

DeepBach: a Steerable Model for Bach chorales generation
Gaëtan Hadjeres, François Pachet, Frank Nielsen
ICML 2017 arXiv:1612.01010

The code uses python 3.6 together with PyTorch v1.0 and music21 libraries.

Citing

Please consider citing this work or emailing me if you use DeepBach in musical projects.

@InProceedings{pmlr-v70-hadjeres17a,
  title =    {{D}eep{B}ach: a Steerable Model for {B}ach Chorales Generation},
  author =   {Ga{\"e}tan Hadjeres and Fran{\c{c}}ois Pachet and Frank Nielsen},
  booktitle =    {Proceedings of the 34th International Conference on Machine Learning},
  pages =    {1362--1371},
  year =     {2017},
  editor =   {Doina Precup and Yee Whye Teh},
  volume =   {70},
  series =   {Proceedings of Machine Learning Research},
  address =      {International Convention Centre, Sydney, Australia},
  month =    {06--11 Aug},
  publisher =    {PMLR},
  pdf =      {http://proceedings.mlr.press/v70/hadjeres17a/hadjeres17a.pdf},
  url =      {http://proceedings.mlr.press/v70/hadjeres17a.html},
}