EP
lucidrains/enformer-pytorch
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
558 101 +0/wk
GitHub
artificial-intelligence attention-mechanism deep-learning dna-sequences gene-expression genomics transformer
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/enformer-pytorch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | enformer-pytorch | awesome-panoptic-segmentation | Flame-Code-VLM | tidy |
|---|---|---|---|---|
| Stars | 558 | 557 | 557 | 559 |
| Forks | 101 | 96 | 48 | 42 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | Kotlin |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | Apache-2.0 | GPL-3.0 |
Capability Radar vs awesome-panoptic-segmentation
enformer-pytorch
awesome-panoptic-segmentation
Maintenance Activity 0
Last code push 275 days ago.
Community Engagement 91
Fork-to-star ratio: 18.1%. 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.