GuitarML/NeuralPi
A Raspberry Pi guitar pedal that uses neural networks to emulate real amplifiers and effects.
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NeuralPi is a VST3 plugin built with JUCE that loads neural network models to emulate guitar amplifiers and effects in real-time. Models are trained from recordings of real amps and pedals, then deployed on low-cost hardware (Raspberry Pi 4 with HiFiBerry audio card) for a DIY guitar pedal setup costing around $120. The system processes guitar input through trained neural networks to produce amp and distortion/overdrive tones.
Frequently asked
- What is GuitarML/NeuralPi?
- A Raspberry Pi guitar pedal that uses neural networks to emulate real amplifiers and effects.
- Is NeuralPi open source?
- Yes — GuitarML/NeuralPi is open source, released under the GPL-3.0 license.
- What language is NeuralPi written in?
- GuitarML/NeuralPi is primarily written in C++.
- How popular is NeuralPi?
- GuitarML/NeuralPi has 1.2k stars on GitHub.
- Where can I find NeuralPi?
- GuitarML/NeuralPi is on GitHub at https://github.com/GuitarML/NeuralPi.