Delete this line when creating a new post, and move the — below to the top of the file

Delete this line when creating a new post, and move the — below to the top of the file


layout: post # DO NOT CHANGE THIS LINE title: TITLE HERE # Specify the title of the post. description: A SHORT DESCRIPTION HERE # Provide a short description of the post. author: [first-mid-last] # these should match the author names in _data/authors.yml if you want to have a dedicated page showing compilations of all your posts date: YYYY-MM-DD # Format correctly image: ‘/assets/ready-to-use-apps/GrooveTransformer/GT_Teaser_gif.gif’ # provide an image tags: [] # specify tags describing the post. try to re-use existing tags in the home page and add new ones if needed in_collections: [ready-to-use-apps, hardware, colab-notebooks, development-tools, sample-packs, educational-resources] #select one or more collections permalink: # leave empty, will be auto generated featured: true # true or false depending on whether to show up on the highlights page tabs: [overview, demo, documentation, showcases, hacking] # specify if you need tabs to show additional content organized in multiple md files.
tabs_content: [overview.md, demo.md, documentation.md, showcases.md, hacking.md] # content of each tab development_status: 4 # 1: Early Development, 2: Ongoing, 3: Late Stages, 4: Finished, under maintenance, 5: Finished, no active maintenance # specify the development status (1-5) —

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  • License
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Version 0.0.1

See the following tables for the download links for the GrooveTransformer VST plugin.

- Download Links
Windows Download
MacOS (ARM) Download
MacOS (Intel) Download
Linux Download

Plugin Source Code

The plugin source code can be found here.

The plugin was developed using NeuralMidiFx, a wrapper we developed for streamlining the deployment of generative models within VST plugins.

The plugin and models are licensed separately. While the plugin is open source under GPLv3, the models are subject to additional non-commercial restrictions.

Plugin Source Code

Licensed under the GNU General Public License v3.0 (GPLv3).

Pre-trained Models (*.pt)

All pre-trained machine learning models included in this project are licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You may use, share, and adapt these models for non-commercial purposes only.

To cite this work, please use the following BibTeX entries:

@inproceedings{Haki2024GrooveTransformer,
  author = {Evans, Nicholas and Haki, Behzad and Jorda, Sergi},
  booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression (NIME) 2024},
  year = {2024},
  month = sep,
  publisher = {NIME},
  title = {GrooveTransformer: A Generative Drum Sequencer Eurorack Module},
}
@phdthesis{Haki2025DesignDevelopmentDeployment,
    author = {Haki, Behzad},
    title = {Design, development, and deployment of real-time drum accompaniment systems},
    school = {Universitat Pompeu Fabra},
  year={2025},
}

Support, Bug Reports, and Feature Requests

Please use the GitHub Issues page.

Feedback, and Direct Contact

If you prefer to contact us directly, please contact Behzad Haki.

Collaborations

If you are interested in collaborating with us, please contact any of the authors.

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