Neural Amp Modeler

7.2easy start · #5 of 25
in Guitar Amp Software

Runs on Linux, Mac, Web, Windows.

Neural Amp Modeler is ranked #5 of 25 in guitar amp software on The Geeks Club. It runs on Linux, macOS, Web, Windows. There is a free plan.

Neural Amp Modeler plans and pricing

Neural Amp Modeler Free open-source project · continuous development neuralampmodeler.com · 1 Oct 2026

GENOME 0 of 4 in the starter kit Lesson 17.8 Helix Stadium Native 0 of 4 in the starter kit Lesson 27.7 Amped 0 of 4 in the starter kit Lesson 37.6 Amp Locker 0 of 4 in the starter kit Lesson 47.2 Amplifikation 360 0 of 4 in the starter kit Lesson 67.1 TH-U 0 of 4 in the starter kit Lesson 77.1

What it does: Neural Amp Modeler uses deep learning to create models of guitar amplifiers and pedals with state-of-the-art accuracy.
Open source: NAM has three code repositories available under permissive open-source licenses and open to contributions.
Model trainer: Users can train models online in Google Colab or install the Python-based trainer locally from PyPI.
Gateway plugin: Gateway loads and plays snapshot models of users' favorite gear.
Parametric modeling: ParametricOD demonstrates NAM parametric modeling across the full range of an overdrive's knobs and switches.
Model sharing: Users can share models through TONE3000, a community-organized online library.
A2 compatibility: Existing A1 models remain supported in NeuralAmpModelerCore and NeuralAmpModelerPlugin.
Supported systems: NAM runs on Windows, macOS, Linux, Raspberry Pi, embedded systems, and websites.
Builder integration: Builders can use NAM's open-source modeling technology in their own products.
Security notice: NAM's training code depends on PyTorch Lightning, and version 0.12.3 excludes compromised Lightning versions 2.6.2 and 2.6.3.
Support: Builders seeking help can contact [email protected].
Price from: Free

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