deep_depression_detector
importedsoftware/deep-depression-detector
Deep learning model of depression detection from activity sensor data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- biomedical-data-science · cnn · deep-learning · depressed · depression · keras · mental-disorder · mental-health
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- harmonydepression · mental-health
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
- MoodSnapdepression · mental-health
MoodSnap mood diary. A free mood diary app with analytics for iOS, made for everybody, written with features for people with mood disorders in mind.
- nepanikardepression · mental-health
Official repository of Nepanikař (Don't Panic) mobile app for psychological first aid. It is designed and consulted with specialists to help with mental health problems.
- project_breathedepression · mental-health
Breathe is a mental health blogging app where users can join communities of doctors and other users from around the world and both share their problems as well as lend a ear to and help others
- vointinidepression · mental-health
Vointini is self-hosted web app for tracking mental health
- worryboxdepression · mental-health
A place to keep all of your worries so they don't need to be in your head.
- api.github.com/repos/gaoyuanliang/deep_depression_detectorretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-12-17, 14 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/3.json→ .entries["deep-depression-detector"]
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