GG
dougsm/ggcnn
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
616 153 +0/wk
GitHub
deep-learning grasping robotics
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
dougsm/ggcnn 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 | ggcnn | class-balanced-loss | cdQA | efficientdet |
|---|---|---|---|---|
| Stars | 616 | 616 | 617 | 617 |
| Forks | 153 | 69 | 191 | 152 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | MIT | Apache-2.0 | MIT |
Capability Radar vs class-balanced-loss
ggcnn
class-balanced-loss
Maintenance Activity 0
Last code push 2088 days ago.
Community Engagement 100
Fork-to-star ratio: 24.8%. 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 BSD-3-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.