GuitarML/NeuralPi

Health v2 · maintenance only

Adoption not part of the score

1211 stars · 63 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NeuralPi is a DIY Raspberry Pi 4-based guitar pedal that uses neural networks to emulate real amplifiers and distortion/overdrive pedals in real time. The software is a JUCE-built VST3 plugin that runs on Elk Audio OS on the Pi and can also be used as a standalone Win/Mac plugin with remote WiFi control.

Use cases

• build a DIY neural network guitar pedal on a Raspberry Pi
• emulate real amps and overdrive pedals with machine learning
• run neural amp models as a VST3 plugin on Windows or Mac
• control amp models remotely over WiFi from a computer
• load custom trained amp/pedal tone models
• create a low-cost (~$120) hardware amp simulator

When to choose

• you want a DIY hardware neural amp emulator on Raspberry Pi 4 with Elk Audio OS
• you want to try GuitarML neural amp/pedal models as a desktop plugin before building hardware
• you need real-time guitar amp modeling with model selection, EQ, and gain controls

When to avoid

• you need instrument-level output directly into a guitar amp (HiFiBerry output is line level)
• you want a turnkey commercial amp simulator rather than a DIY build
• you need a plugin format other than VST3/AU or a platform without builds

Facets

application · maturity active

audio-processing machine-learning plugin-system gui machine-learning hardware media embedded windows cross-platform guitar-pedal raspberry-pi neural-amp-modeling juce vst3 elk-audio-os amp-emulation real-time-audio diy-hardware audio linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="GuitarML/NeuralPi")