SimpleSleepNet is a lightweight self-supervised deep-learning framework for EEG-based sleep stage classification using self-supervised contrastive representation learning, achieving 80%+ accuracy with ...
This project is organized to separate concerns among the 4 team members. forensic-bind/ ├── configs/ # Configuration files (YAML, JSON, etc.) ├── data/ # Data storage (ignored by git usually) │ ├── ...
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