# GuitarML/SmartGuitarAmp

Guitar plugin made with JUCE that uses neural networks to emulate a tube amplifier.

Repository: https://github.com/GuitarML/SmartGuitarAmp
Canonical: https://ross.abutalabs.com/products/smartguitaramp
Homepage: https://guitarml.com/
Language: C++
License: Apache-2.0
License Family: permissive
Topics: audio-processing, guitar, juce, machinelearning, neuralnetworks
Last push: 2023-04-11T18:03:36+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2185, "days_push": 1240, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1332, forks 62 (observed 2026-08-28T04:04:24.490992+00:00)

## What it is
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
- artifact type: plugin
- maturity: maintenance
- function: audio-processing, machine-learning, plugin-system
- domain: machine-learning, media
- platform: windows, cpp
- tags: guitar, juce, neural-networks, amp-simulation, vst3, audio-plugin, wavenet, real-time-audio, audio, macos, linux

## Member repositories
- GuitarML/SmartGuitarAmp (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:24.490992+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:45:08.691132+00:00, confidence not recorded.
  - readme: https://github.com/GuitarML/SmartGuitarAmp (fetched 2026-08-28T04:04:24.490992+00:00, sha d01dadcdcae8)
  - homepage: https://guitarml.com/ (fetched 2026-08-29T12:04:08.799984+00:00, sha 1417801838a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.