CH
stanfordmlgroup/CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
154 32 +0/wk
GitHub
bert deep-learning medical-imaging natural-language-processing radiology
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
stanfordmlgroup/CheXbert has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | CheXbert | ai-localbase | FECAM | lecture-summarizer |
|---|---|---|---|---|
| Stars | 154 | 154 | 154 | 154 |
| Forks | 32 | 25 | 20 | 38 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Go | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | N/A | N/A |
Capability Radar vs ai-localbase
CheXbert
ai-localbase
Maintenance Activity 0
Last code push 251 days ago.
Community Engagement 100
Fork-to-star ratio: 20.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.