biomedical-signal-processing/sleepyland
A toolbox for sleep data analysis and sleep stage classification
This tool helps sleep researchers and clinicians automatically analyze large sleep datasets. You input raw sleep recordings (like EEG and EOG data), and it provides classifications of sleep stages using advanced machine learning models. It's designed for professionals who need efficient and robust sleep analysis.
Use this if you need to quickly and reliably classify sleep stages from large collections of raw sleep data and want to ensure your analysis models are fairly evaluated.
Not ideal if you lack administrative permissions on your machine or if you require GPU acceleration for very fast processing of deep learning models.
Stars
37
Forks
4
Language
AMPL
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/biomedical-signal-processing/sleepyland"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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