EP
lucidrains/ema-pytorch
A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
644 42 +0/wk
GitHub
artificial-intelligence deep-learning exponential-moving-average
Trend
3
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/ema-pytorch has +0 stars this period . 7-day velocity: 0.3%.
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Signal-backed technical analysis will be available soon.
| Metric | ema-pytorch | awesome-holistic-3d | UPSNet | NeuralDialogPapers |
|---|---|---|---|---|
| Stars | 644 | 644 | 645 | 643 |
| Forks | 42 | 93 | 115 | 133 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | NOASSERTION | N/A |
Capability Radar vs awesome-holistic-3d
ema-pytorch
awesome-holistic-3d
Maintenance Activity 40
Last code push 111 days ago.
Community Engagement 33
Fork-to-star ratio: 6.5%. Lower fork ratio may indicate passive usage.
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.