SelfEEG - v0.2.1

What's New

Functionality

• augmentation module:
  • add Circular augmenter in compose module.
  • add phase swap augmentation in functional module.
• models module:
  • models can be initialized with a custom seed.
  • add EEGConformer.
  • add xEEGNet.
• dataloading module:
  • EEGDataset now supports EEG with multiple labels (1 per window partition).
• ssl module:
  • The fine_tuning function now accepts a custom validation loss function.

maintenance

• fixed unittest MPS device bug on git workflows
• fixed unittest deprecation warnings
• reduced unittest overall time

Scientific Software - Peer-reviewed - Python
Published by fedepup 7 months ago

SelfEEG - v0.2.0

What's new

Functionality

• overall:
  • all functions have been aligned to the lower_case_with_undersocres format.
  • all classes have been aligned to the CapitalizedWords format.
• dataloading module:
  • EEGDataset can preload the entire dataset.
  • Fixed bugs (geteegpartition_number returns float values with some input args)
• models module:
  • custom layers were moved in a new models.layer submodule
  • encoders were moved in a new models.encoders submodule
  • layer constraints now include MaxNorm, MinMaxNorm, UnitNorm, with axis selection like in Keras.
  • added Conv1d layer with norm constraint and causal padding.
  • added FBCNet (encoder + full model) and ATCNet (full model only).
• ssl module:
  • The module was divided in ssl.base and ssl.contrastive.
  • Two new submodules, ssl.predictive and ssl.generative, with their relative pretraining algorithms, were added.
  • SSLBase class now includes two methods used to perform args check for fit and test methods.
  • EarlyStopping now accepts a custom device to use during best weights recording.
  • fine_tune function can also accepts lists of input, labels, augmenters, and label encoders. This might make easier to work with multi-branch or multi-head models.
• utils module:
  • added zscore scaler.

Documentation * sphinx automodapi was removed from the dependencies and switched directly to sphinx autosummary. This solved several issues and improves overall compatibility (sphinx automodapi will be maintained only for the developers internal projects) * All files generated by autosummary were removed and the api folder is included in the gitignore * Documentation notebooks have been fixed to the new naming format

Maintenance * fixed typos on model module unittest. * Added new tests for novel functionalities.

Scientific Software - Peer-reviewed - Python
Published by fedepup over 1 year ago

SelfEEG - v0.1.1

What's New

This release includes all the revisions made during the Journal of Open Source Software (JOSS) peer-review.

Functionality

• fixed import problem for python<3.11 due to wrong syntax in the dataloading module.
• fixed small bugs in the dataloading module.

Maintenance

• Added more workflows
• Included (and run) a basic set of pre-commit hooks.

Documentation

• Added a tutorial with the EEGMMI dataset.

Scientific Software - Peer-reviewed - Python
Published by fedepup almost 2 years ago

SelfEEG - v0.1.0

first release of selfEEG

Scientific Software - Peer-reviewed - Python
Published by fedepup about 2 years ago