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Version 0.4.0 (#34)
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CHANGELOG.md

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## [Unreleased]
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## [0.4.0] - 2026-05-07
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### Added
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- Add `ScratchBackbone` for benchmarking DL models without pretrained weights. Only compatible with `FullFinetune` (enforced by the `Experiment` validator) ([#30](https://github.com/braindecode/OpenEEGBench/pull/30)).
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- Add `class_weight` parameter to `RidgeProbingTraining` (`"balanced"` or `None`); **default changed to `"balanced"`** — pass `None` for the previous unweighted behavior ([#32](https://github.com/braindecode/OpenEEGBench/pull/32)).
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Initial release.
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[Unreleased]: https://github.com/braindecode/OpenEEGBench/compare/v0.3.0...HEAD
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[Unreleased]: https://github.com/braindecode/OpenEEGBench/compare/v0.4.0...HEAD
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[0.4.0]: https://github.com/braindecode/OpenEEGBench/releases/tag/v0.4.0
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[0.3.0]: https://github.com/braindecode/OpenEEGBench/releases/tag/v0.3.0
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[0.2.1]: https://github.com/braindecode/OpenEEGBench/releases/tag/v0.2.1
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[0.2.0]: https://github.com/braindecode/OpenEEGBench/releases/tag/v0.2.0

CITATION.cff

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family-names: Delorme
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email: adelorme@ucsd.edu
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affiliation: "Swartz Center for Computational Neuroscience, Institute for Neural Computation, San Diego Supercomputer Center, University of California San Diego, USA; CNRS, France"
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version: 0.3.0
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date-released: "2026-04-22"
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version: 0.4.0
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date-released: "2026-05-07"
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identifiers:
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- type: doi
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value: 10.5281/zenodo.19698863

pyproject.toml

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[project]
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name = "open-eeg-bench"
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version = "0.3.0"
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version = "0.4.0"
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description = "Benchmarking parameter-efficient fine-tuning of EEG foundation models"
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readme = "README.md"
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requires-python = ">=3.11"

uv.lock

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