GC
Yonghongwei/Gradient-Centralization
A New Optimization Technique for Deep Neural Networks
539 80 +0/wk
GitHub
deep-neural-networks gradient-centralization optimization-technique optimizers
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Star & Fork Trend (21 data points)
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Yonghongwei/Gradient-Centralization has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Gradient-Centralization | pretty-print-confusion-matrix | Laplace | ner-lstm |
|---|---|---|---|---|
| Stars | 539 | 539 | 538 | 538 |
| Forks | 80 | 156 | 89 | 180 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | MIT | N/A |
Capability Radar vs pretty-print-confusion-matrix
Gradient-Centralization
pretty-print-confusion-matrix
Maintenance Activity 0
Last code push 1547 days ago.
Community Engagement 74
Fork-to-star ratio: 14.8%. 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 30
No clear license detected — proceed with caution.
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