CB
vandit15/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
805 123 +0/wk
GitHub
computer-vision cvpr2019 deep-learning loss-functions pytorch
Trend
0
Star & Fork Trend (34 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
vandit15/Class-balanced-loss-pytorch 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 | Class-balanced-loss-pytorch | deep-recommender-system | IJCAI2023-CoNR | acezero |
|---|---|---|---|---|
| Stars | 805 | 805 | 805 | 805 |
| Forks | 123 | 183 | 65 | 54 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | NOASSERTION |
Capability Radar vs deep-recommender-system
Class-balanced-loss-pytorch
deep-recommender-system
Maintenance Activity 0
Last code push 781 days ago.
Community Engagement 76
Fork-to-star ratio: 15.3%. 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.