Neural Amp Modeler (NAM)

by Steven Atkinson (open source) · Amp Sim · Capture player

vst3s Score 9.0/10 · rated #3 of 10 amp sims

Neural Amp Modeler (NAM) by Steven Atkinson (open source)

A free, open-source plugin that uses deep learning to model amps and pedals with state-of-the-art accuracy.

Load community captures from TONE3000, or make your own. In blind tests it holds its own against commercial amp sims.

Best for: Guitars, Bass. Genres: Rock & Indie, Metal.

Keywords: electric guitar, sampled hardware, free, impulse-response based, AI/machine learning, open source, bass, mixing, modern.

What it does

Neural Amp Modeler (NAM) is a free, open-source project by Steven Atkinson that uses deep learning to model guitar amps and pedals.

It's MIT-licensed and free.

Source: Steven Atkinson (open source) product page

When to use it

NAM is the free, open alternative to TONEX. Its captures have a strong reputation for accuracy, but the plugin itself is bare-bones: no pedals, modulation or delays, and no curated library of its own. Next to Helix Stadium Native or the Neural DSP suites, it's a capture player, not a full rig.

What producers say

Highly regarded for accuracy, especially for the price.

Where to buy

Tutorials and reviews

Similar plugins

All amp sims