SP
SkalskiP/sports
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
546 41 +0/wk
GitHub
computer-vision deep-learning deep-neural-networks gpt-4 gpt-4-vision object-detection prompt-engineering pytorch sports-analytics tutorial yolov5 yolov7
Trend
3
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SkalskiP/sports has +0 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | sports | DataScience_ArtificialIntelligence_Utils | awesome-federated-learning | music_recommender |
|---|---|---|---|---|
| Stars | 546 | 546 | 546 | 546 |
| Forks | 41 | 293 | 93 | 124 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Jupyter Notebook | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | N/A | N/A |
Capability Radar vs DataScience_ArtificialIntelligence_Utils
sports
DataScience_ArtificialIntelligence_Utils
Maintenance Activity 0
Last code push 848 days ago.
Community Engagement 38
Fork-to-star ratio: 7.5%. Lower fork ratio may indicate passive usage.
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.