Python implementation of an arousal dynamics model for prediction alertness based on light exposure
-
Updated
Jul 20, 2025 - Jupyter Notebook
Python implementation of an arousal dynamics model for prediction alertness based on light exposure
Sleep trackers tell you how you slept. SleepArchitect predicts it before you go to bed, by running Borbely's two-process model over today's caffeine, alcohol, workouts, light, and meal timing.
To associate your repository with the alertness topic, visit your repo's landing page and select "manage topics."