SR
lucidrains/self-rewarding-lm-pytorch
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
1.4k 70 +0/wk
GitHub
artificial-intelligence beyond-human-data deep-learning self-rewarding transformers
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0
Star & Fork Trend (41 data points)
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Growth Velocity
lucidrains/self-rewarding-lm-pytorch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | self-rewarding-lm-pytorch | pytorch-widedeep | AdvBox | tribuo |
|---|---|---|---|---|
| Stars | 1.4k | 1.4k | 1.4k | 1.4k |
| Forks | 70 | 197 | 267 | 196 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Java |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | Apache-2.0 |
Capability Radar vs pytorch-widedeep
self-rewarding-lm-pytorch
pytorch-widedeep
Maintenance Activity 0
Last code push 728 days ago.
Community Engagement 70
Fork-to-star ratio: 5.0%. 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.