I'm excited to share a paper I've recently completed: "Slimmable NAM: Slimmable NAM: Neural Amp Models with adjustable runtime computational cost" The paper was accepted for the 2025 NeurIPS workshop on Artificial Intelligence for Music: Where Creativity Meets Computation ; I'll be presenting it in 2 weeks in San Diego. In the meantime, anyone can access it here: https://arxiv.org/abs/2511.07470 . A video demonstrating the method as well as open-source code and a demo plugin

I recently released a new version of the Python package for training models. As usual, the newest version is automatically used when...

See also: this blog post on "NAM-to-X" The latest in the ecosystem of NAM-integrating products is NUX's Amp Academy Stomp, a...

In the last few months, we've seen an explosion of products from different companies that have benefited from the open-source nature of...