Jupyter Notebook · MIT
sdsubhajitdas/Brain-Tumor-Segmentation
Brain Tumor Segmentation done using U-Net Architecture.
★ 296
Stars
63 forks · 0 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
21.3
Momentum / 100
see the breakdown below
7y ago
Created
last push 13d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.1 | last push 13d ago; decays to zero at 180 days |
| Scale | 15 | 7.2 | 296 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 21.3 | sum of the above |
Detail
| Topics | brain-tumor-segmentationdeep-learningimage-segmentationpytorchtumor-segmentationunetunet-image-segmentationunet-pytorch |
| Matched on | Computer Vision (image-segmentation) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +0 stars over 26 days = 0.0/day |
| Lifetime average | 0.10 stars/day over 2,834 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |