Baptiste Jamin

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Would you be available for a live debug session? You can contact any time at [email protected]

In general such issues are because of server side rendering Sent from my iPhoneOn 9 Apr 2024, at 10:38, Deepit Patil ***@***.***> wrote: @SzymonNiemiec @baptistejamin did you figure out what...

They there! Can you please send your site link to [email protected]? Also could you please clear your cache and reload?

Since the two systems use mostly the same model types, I think NAM would have a very big incentive implementing RTNeural. It would remove 90% of the complexity from: https://github.com/sdatkinson/NeuralAmpModelerCore/tree/main/NAM...

Aida-X could be the right approach; there is no need for thousands of model types so that architectures can be hard coded. LSTM is right for 99.5% of use cases....

I tested with two different models (clean and high gain), and it sounded exactly the same. RTNeural is so optimized that the LSTM model size could be increased a lot,...

We could retrain to 96khz if it's something you are willing to explore. We can do this. Implementing NAM models in RTNeural, and RTNeural in NAM seems out of scope....

Hello ! We got incompatibility reports with @react-native-firebase. It's on the way to be fixed

You have a fork button right here. Waiting for your PR.