CP
lucidrains/CoCa-pytorch
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
1.2k 90 +0/wk
GitHub
artificial-intelligence attention-mechanism contrastive-learning deep-learning image-to-text multimodal transformers
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Star & Fork Trend (40 data points)
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lucidrains/CoCa-pytorch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | CoCa-pytorch | perceiver-pytorch | chainerrl | awesome-conformal-prediction |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 90 | 138 | 225 | 107 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | NOASSERTION |
Capability Radar vs perceiver-pytorch
CoCa-pytorch
perceiver-pytorch
Maintenance Activity 0
Last code push 848 days ago.
Community Engagement 38
Fork-to-star ratio: 7.5%. 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.