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)
—
- Access
- License
- Publication
- Contact
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.
TEXT HERE
some text