SC
wb14123/seq2seq-couplet
Play couplet with seq2seq model. 用深度学习对对联。
5.5k 1.1k +0/wk
GitHub
deep-learning machine-learning seq2seq
Trend
0
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
wb14123/seq2seq-couplet has +0 stars this period . 7-day velocity: -0.0%.
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| Metric | seq2seq-couplet | SUPIR | deep-learning-v2-pytorch | PufferLib |
|---|---|---|---|---|
| Stars | 5.5k | 5.5k | 5.5k | 5.5k |
| Forks | 1.1k | 472 | 5.3k | 428 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | C |
| Sources | 1 | 1 | 1 | 1 |
| License | AGPL-3.0 | NOASSERTION | MIT | MIT |
Capability Radar vs SUPIR
seq2seq-couplet
SUPIR
Maintenance Activity 0
Last code push 623 days ago.
Community Engagement 97
Fork-to-star ratio: 19.4%. 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 70
Licensed under AGPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.