DR
miguelvr/dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
594 94 +0/wk
GitHub
computer-vision convolutional-neural-networks dropblock dropout machine-learning pytorch pytorch-implementation regularization
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
miguelvr/dropblock 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 | dropblock | NLPBook | awesome-openclaw | holodeck |
|---|---|---|---|---|
| Stars | 594 | 594 | 594 | 594 |
| Forks | 94 | 106 | 57 | 42 |
| Weekly Growth | +0 | +0 | +3 | +0 |
| Language | Python | N/A | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | CC0-1.0 | MIT |
Capability Radar vs NLPBook
dropblock
NLPBook
Maintenance Activity 0
Last code push 2080 days ago.
Community Engagement 79
Fork-to-star ratio: 15.8%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.