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Refactor dataset class, drop dependencies and update models - #277

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ben9809 wants to merge 27 commits into

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perf/dataset-model

Commits on May 13, 2026
- refactor: add documentation for custom forward implementation and remove output shape traspose
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  9904b41
- refactor: use neurobench predefined preprocessor
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  715ba44
- fix: pre and post processors import
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  31a3892
- refactor(WISDM): adapt wisdm dataset class to default classe used in neurobench to drop lightning and gdown modules
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  79e7630
- refactor: adapt benchmark and training scripts to the new dataset class
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  a5ef5c9
- refactor: update torch model
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  4794339
- tests: add tests for eeg mi dataset and fix tests for wisdm dataset
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  9c53e04
- build: drop unneessary dependencies
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  e7459a1
- build: update lock file
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  1b2225e
- build: add torchcodec dependency due to torchaudio package
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  3ce8708
- ci: add ffmpeg
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  e9f1490
- fix: ffmpeg installation
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  307cd36
Commits on May 14, 2026
Commits on Sep 30, 2026
- build: update poetry lock with version updates
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  915b658
- ci: cache Poetry dependencies
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  fcf33de
- ci: revert changes
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  9423798