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lucidrains/En-transformer
Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network
226 30 +0/wk
GitHub
artificial-intelligence attention-mechanism deep-learning equivariance transformer
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Star & Fork Trend (19 data points)
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lucidrains/En-transformer has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | En-transformer | cellfinder | denoising-diffusion-model | e3nn-jax |
|---|---|---|---|---|
| Stars | 226 | 226 | 225 | 227 |
| Forks | 30 | 79 | 33 | 19 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-3-Clause | N/A | Apache-2.0 |
Capability Radar vs cellfinder
En-transformer
cellfinder
Maintenance Activity 0
Last code push 675 days ago.
Community Engagement 66
Fork-to-star ratio: 13.3%. 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.