MA
Cartucho/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
3.0k 919 +0/wk
GitHub
average-precision computer-vision darkflow darknet detection ground-truth machine-learning metrics neural-network object-detection pascal-voc yolo
Trend
0
Star & Fork Trend (49 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Cartucho/mAP 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 | mAP | time-series-transformers-review | pythoncode-tutorials | pytorch_geometric_temporal |
|---|---|---|---|---|
| Stars | 3.0k | 3.0k | 3.0k | 3.0k |
| Forks | 919 | 269 | 2.0k | 403 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | MIT |
Capability Radar vs time-series-transformers-review
mAP
time-series-transformers-review
Maintenance Activity 0
Last code push 602 days ago.
Community Engagement 100
Fork-to-star ratio: 30.9%. 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.