GuitarML/SmartGuitarAmp

Health v2 · maintenance only

Adoption not part of the score

1332 stars · 62 forks observed · 2026-08-28

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

SmartGuitarAmp is a JUCE-based audio plugin (VST3/AU/AAX) that uses neural network models (WaveNet-style) to emulate a real tube guitar amplifier in real time. It provides gain and EQ controls over the modeled tone, and users can train custom models with the companion PedalNetRT project.

Use cases

• emulate a tube guitar amp inside a DAW
• neural network amp modeling plugin for guitar recording
• load custom machine-learned amp tones into a VST
• real-time guitar tone emulation with gain and EQ
• record guitar with modeled clean and overdriven amp sounds

When to choose

• you want free, open-source neural amp modeling as a DAW plugin
• you play guitar and want tube-amp tones without physical hardware
• you want to experiment with training your own amp models via PedalNetRT

When to avoid

• you need to load custom user-trained models - use SmartGuitarPedal instead
• you need a standalone amp simulator app rather than a plugin
• you require the latest actively developed features - the project's last release was 2023 and GuitarML has moved to Proteus

Facets

plugin · maturity maintenance

audio-processing machine-learning plugin-system machine-learning media windows cpp guitar juce neural-networks amp-simulation vst3 audio-plugin wavenet real-time-audio audio macos linux

Member repositories

For agents

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