sdatkinson/neural-amp-modeler

Neural network emulator for guitar amplifiers.

What it solves

It provides a way to train neural networks to model the behavior of guitar amplifiers and other audio equipment, allowing these models to be exported as .nam files for use in real-time playback applications.

How it works

The project implements a training pipeline that creates neural models of audio hardware. These models are then exported to a specific file format (.nam) which can be used by a partner plugin for real-time audio processing.

Who it’s for

Audio engineers, guitarists, and developers who want to create high-fidelity digital replicas of analog audio gear.

Highlights

  • Training pipeline for audio hardware modeling
  • Export functionality for .nam files
  • Integration with a dedicated real-time playback plugin

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