neural-amp-modeler
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sdatkinson
Neural network emulator for guitar amplifiers.
Follow advice to use ```python class C @property @abc.abstractmethod def foo(self): pass ```
Should be able to manage with some package resource files.
- [ ] Check what's the latest version when the GUI trainer starts. - [ ] If the local version is out of date, alert the user. - [ ]...
When running the command "pip install --upgrade neural-amp-modeler" to install NAM locally on a new PC, I received this error: Installing collected packages: tbb, pyreadline3, intel-openmp, flatbuffers, wavio, typing-extensions, tensorboard-data-server,...
Document for all 3 trainers in a page.
hey 👋 This repo and the job you did is amazing! I wanted to contribute with this PR with something I'd value when it comes to some of my personal...
https://github.com/sdatkinson/neural-amp-modeler/blob/1649595220c36ca4c7f5153d8db534829728c850/nam/train/core.py#L324 This is probably too low. Given that it's got a safety factor, I can probably make it a bit less sensitive.
On a previous version of the trainer I used a custom test tone that I created by myself and produced great profiles. The only thing I needed to do was...
Just like #364, but for [AIDA-X's `input.wav`](https://colab.research.google.com/corgiredirector?site=https%3A%2F%2Fdrive.google.com%2Ffile%2Fd%2F1TNpaPPc9tdCu6OA1VETWvufc7wG2nQTJ%2Fview%3Fusp%3Dsharing) from [their training notebook](https://colab.research.google.com/github/AidaDSP/Automated-GuitarAmpModelling/blob/aidadsp_devel/AIDA_X_Model_Trainer.ipynb#scrollTo=5CQleTk7GJV8). It seems that it's identical to v1_1_1.wav, plus an additional ~2 minutes of audio appended. If that's the case,...
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Neural network emulator for guitar amplifiers.