RG
DIAGNijmegen/rse-grand-challenge
A platform for end-to-end development of machine learning solutions in biomedical imaging
187 59 +0/wk
GitHub
ai challenges computer-vision django django-rest-framework docker machine-learning medical-imaging python reproducible-research
Trend
0
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
DIAGNijmegen/rse-grand-challenge has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | rse-grand-challenge | compling_nlp_hse_course | flash-sinkhorn | Crowd_counting_from_scratch |
|---|---|---|---|---|
| Stars | 187 | 187 | 187 | 187 |
| Forks | 59 | 78 | 19 | 43 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MIT | MIT |
Capability Radar vs compling_nlp_hse_course
rse-grand-challenge
compling_nlp_hse_course
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 100
Fork-to-star ratio: 31.6%. 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 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.