Fang Zhou

Recently, I have been exploring the methods for classification on imbalanced data. As I know, the most commonly used technique is a combination of resampling/subsampling techniques plus classification models, like...

When fine tuning pretrained segmentation model using pyannote.audio==3.1.1 on well-defined and registered custom finance dataset, it shows the following error message 'PicklingError: Can't pickle <class 'pyannote.database.registry.Finance'>: attribute lookup Finance on pyannote.database.registry failed'

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### Tested versions pyannote.audio==3.1.1 ### System information Windows 10 - pyannote.audio=3.1.1 ### Issue description **Module Version Used:** pyannote.audio==3.1.1 (or 3.0.1) pyannote.core==5.0.0 pyannote.database==5.1.0 (or 5.0.1) pyannote.metrics==3.2.1 pyannote.pipeline==3.0.1 **Code with Problem:** from...