JunMa11/MedJev
About the project
A tool for extracting structured clinical variables from free-text medical notes: it turns notes into table-ready data, running locally on a single consumer GPU without sending data outside.
Useful for
- Extract fields like hospital admission or severity from notes into a ready table
- Train the model on your own labelled notes for new fields
- Evaluate extraction accuracy and latency on the dev split via medjev.evaluate
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 5 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 3 days old and already has 83 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #188.
- About 6 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 83
- Today
- 0 · ≈ 5 by evening
- Forks
- 15
- Issues and pull requests
- 0
- Watchers
- 1
- Language
- Python
- License
- Apache-2.0
- Created
- September 22, 2026
- Last push
- September 22, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 25, 2026Top new repositories this week: #187
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