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richardaecn/class-balanced-loss
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
616 69 +0/wk
GitHub
cloud-tpu computer-vision cvpr cvpr2019 deep-learning fine-grained fine-grained-classification fine-grained-visual-categorization imagenet inaturalist tensorflow
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Star & Fork Trend (19 data points)
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richardaecn/class-balanced-loss has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | class-balanced-loss | ggcnn | SRCNN-Tensorflow | cdQA |
|---|---|---|---|---|
| Stars | 616 | 616 | 617 | 617 |
| Forks | 69 | 153 | 274 | 191 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-3-Clause | MIT | Apache-2.0 |
Capability Radar vs ggcnn
class-balanced-loss
ggcnn
Maintenance Activity 0
Last code push 1684 days ago.
Community Engagement 56
Fork-to-star ratio: 11.2%. 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.