top of page
Search

The NAM trainer now has online documentation

  • Steve
  • Mar 10, 2024
  • 1 min read

At long last, I finally got the start of some documentation for NAM's trainer online. Have a look here:



You'll find the information about installing, tutorials using the Colab, GUI, and full-featured CLI trainer (all of which used to be in the README), and the start of the documentation on the package API.


This is a great way to started contributing to the project! If you've wanted to get involved but didn't know what to do, consider contributing to the documentation--any information I've missed, additional tutorials, filling out the documentation on the package (some of it is as simple as getting some of the classes and modules auto-generating correctly)--all of this is a great way to share knowledge, best practices, and little tips and tricks. It's also a great way to check your understanding if you're a little unsure about how things work before tackling a bug fix or new feature.


Enjoy!

 
 

Recent Posts

See All
A2 is released

Today, I'm releasing Architecture "A2", NAM's new standard neural network recipe for modeling guitar and bass amps. Check out this YouTube video for a walkthrough: If you want a pre-made plugin that p

 
 
Security notice: PyTorch Lightning 2.6.2 and 2.6.3

Published: April 30, 2026 NAM impact: NAM’s training code depends on PyTorch Lightning. Users who installed the affected Lightning versions should take action. Overview A supply-chain security inciden

 
 
NeuralAmpModelerCore v0.5.0 is released

We're one step closer to A2 today, and I've released an update to NeuralAmpModelerCore, version 0.5.0: https://github.com/sdatkinson/NeuralAmpModelerCore/releases/tag/v0.5.0 Builders interested in how

 
 

NEURAL AMP MODELER

©2026 by Steven Atkinson

bottom of page