Update 2026-02-02: The test models have been updated to "v2" to fix some identified issues. Please re-download the latest if you haven't begun testing. If you've already sent me results, don't worry about it--I'll note the discrepancies and account for them. Progress is coming along on work to develop Architecture A2 , NAM's update to the "standard WaveNet" and its lite/feather/nano variations (retroactively, "A1"). NeuralAmpModelerCore v0.4.0.rc2 First, I have published Neur

In order to assist with Stage 2 of the Architecture A2's development , I've (finally!) created documentation for the real-time library, and I've integrated v0.4.0 into NeuralAmpModelerPlugin. Core library documentation I've completed a first pass at documentation for the library. You can access it online here: https://neuralampmodelercore.readthedocs.io/en/latest/ Aside from the usual API documentation, I've written a more in-depth description of how the WaveNet actually wor

Update 2026-01-29: v0.4.0.rc2 is released with some updates. I've put up a release candidate for NeuralAmpModelerCore v0.4.0. You can access it here: https://github.com/sdatkinson/NeuralAmpModelerCore/releases/tag/v0.4.0.rc2 This is a release candidate  and is hot off the press. If you encounter any bugs, please either create a bug report  or get in contact with me. This release marks the completion of Stage 1 of the development of Architecture A2 - If you would like to supp

Blog posts about A2: NeuralAmpModelerCore v0.4.0.rc2 is released (2026-01-21) NeuralAmpModelerCore documentation and demo integrations are live (2026-01-21) Test Models are available (2026-01-29) In quarter 1 of 2026, I plan to develop and release a new default architecture for snapshot NAM models. I'm going to name this architecture " A2 ". Here's the plan. What's going to happen Nothing is going away. The existing "standard WaveNet" and friends (now called A1-standard,

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...

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

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[This one's long overdue, but I think it's very cool.] A while back, Ghost Note Audio released a software plugin called Transistor...

The next version of NeuralAmpModelerPlugin is available! Download the installer from the users page. This version ships a bug fix...

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