VP
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
25.0k 3.5k +1/wk
GitHub PyPI 2-source
artificial-intelligence attention-mechanism computer-vision image-classification transformers
Trend
13
Star & Fork Trend (38 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/vit-pytorch has +1 stars this period , with cross-source activity across 2 platforms (github, pypi). 7-day velocity: 0.0%.
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| Metric | vit-pytorch | pytorch-CycleGAN-and-pix2pix | deep-learning-for-image-processing | InvokeAI |
|---|---|---|---|---|
| Stars | 25.0k | 25.1k | 26.2k | 27.0k |
| Forks | 3.5k | 6.6k | 8.2k | 2.8k |
| Weekly Growth | +1 | +2 | +1 | +16 |
| Language | Python | Python | Python | TypeScript |
| Sources | 2 | 1 | 1 | 2 |
| License | MIT | NOASSERTION | GPL-3.0 | Apache-2.0 |
Capability Radar vs pytorch-CycleGAN-and-pix2pix
vit-pytorch
pytorch-CycleGAN-and-pix2pix
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 70
Fork-to-star ratio: 13.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 40
+1 stars this period — 0.00% growth rate.
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.