Neural Amp Modeler
Capture an amplifier or signal chain from matching input and output recordings.
Neural instrumentsOpen-source code
- Maru integration
Maru extension available
Runs as a Maru browser module. Supported checkpoints and host requirements are documented on the extension page.
- Start here
- Capture one useful gear setting well. Compare the model against a held-out DI performance at the same input level.
- Training data
- Paired dry test signals and recordings of the gear response. Each capture is a distinct trained model.
- Training rights
- Record and document your capture session; downloaded community captures have their own distribution terms.
- License & output terms
- Python trainer: MIT. Plugins and individual captures have separate licenses.
- Limitations
- A capture represents the measured settings and signal chain; it does not automatically model every knob or time-varying effect.
- Technique
- Neural system identification
- Runtime
- Train a capture locally or on a GPU service; run it in a compatible local player.
- Parameters
- Not itemized for this release/family. Parameter sizes shown elsewhere may exclude encoders, decoders or other runtime components.
Sources reviewed . Training and rights notes summarize provider disclosures. A model license does not clear every source recording or generated output. Parameter counts refer to the named variant or component, not total runtime memory.