# Machine Learning Guitar Plugins-could have broader applications?

**URL:** <https://discourse.zynthian.org/t/machine-learning-guitar-plugins-could-have-broader-applications/9083>\
**Category:** Un-related\
**Created:** [February 4, 2024, 9:48pm UTC](https://discourse.zynthian.org/t/machine-learning-guitar-plugins-could-have-broader-applications/9083 "2024-02-04T21:48:30Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![MaxMaxis](https://discourse.zynthian.org/letter_avatar_proxy/v4/letter/m/90db22/32.png) [@MaxMaxis](https://discourse.zynthian.org/u/MaxMaxis)\
**Post date:** [February 4, 2024, 9:48pm UTC](https://discourse.zynthian.org/t/machine-learning-guitar-plugins-could-have-broader-applications/9083/1 "2024-02-04T21:48:30Z")

</div>

The possibilities of AI replacing composers and musicians in the future have been discussed. For now, this machine learning, neural network code can eliminate some poor vacuum tubes.

Official [GuitarML](https://guitarml.com/) site. You can train your own sound processor, using Tensorflow/Keras, one has to wonder what other acoustic effects can be created.

[NeuralPi](https://github.com/mlamsk/NeuralPi) A Raspberry Pi port of Guitar ML. (VST3 built with JUCE)

[The GuitarML Github page](https://github.com/GuitarML) includes link to 11 articles by the developer, Keith Bloeme and a link to Proteus Tone Packs, where you can download 160 (.json ?) tones in a single zip.

This guy compares real amp sound to the modeled version ( at 9:57 after a tutorial)

[![](https://img.youtube.com/vi/INtxHlEGQRM/maxresdefault.jpg "Proteus: the free amp/pedal modeler by Guitar ML!") ](https://www.youtube.com/watch?v=INtxHlEGQRM&t=412)