Comments (3)
Alex view on new package: no new package, put corresponding files directly in braindecode folder
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Done by now.
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atm I still feel a bit unnice about callbacks/classifier/losses/regressor/scoring all being in top-level.
I thought to create training sub-folder/module and either (1) put all inside, or (2) put callbacks/losses/scoring inside training submodule and leave regressor and classifier at top. how do you think @gemeinl @sliwy @agramfort
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Related Issues (20)
- [Question] what difference between `braindecode.EEGClassifier` and `skorch.NeuralNetClassifier` HOT 3
- Annotations are now always set in MOABB HOT 1
- Problem with Input format HOT 1
- Implement GCNs-Net Model for EEG Motor Imagery Signal Decoding in EEGdecoder Repository
- Implement GCNs-Net Model for EEG Motor Imagery Signal Decoding in EEGdecoder Repository HOT 1
- predict_trials() returns ground truth labels from Dataset as trial_labels? HOT 2
- compute_amplitude_gradients
- when running in VScode Juptyer, kernel crashes HOT 1
- Fix Issue with EEGClassifier Handling Small Training Sets and Unexpected Class Generation for Binary Classification HOT 1
- Avoid old parameters in the signature and use from now on "*," in function
- TCN and HybridNet are not working with 3 dims input
- Improve the whole function documentation
- This is not a issue but I have an important question HOT 3
- Torch or Nvidia is installing a lot of dependencies and slowing the installation in CI
- Combined Conv is not matching the precision of 1E-6 anymore on the Linux
- Create a braindecode functional
- Create automatic braindecode-dev/preview release
- Add type hints HOT 4
- Stop supporting python 3.8 HOT 1
- MNE in version 1.7 broke moabb and braindecode HOT 1
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