WE
shobrook/weightgain
Train an adapter for any embedding model in under a minute
131 7 +0/wk
GitHub
adapter embedding-models embeddings fine-tuning lora openai
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
shobrook/weightgain has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | weightgain | awesome-bert-japanese | FinBERT-QA | ATPapers |
|---|---|---|---|---|
| Stars | 131 | 132 | 130 | 130 |
| Forks | 7 | 7 | 30 | 13 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | N/A | N/A |
Capability Radar vs awesome-bert-japanese
weightgain
awesome-bert-japanese
Maintenance Activity 0
Last code push 364 days ago.
Community Engagement 27
Fork-to-star ratio: 5.3%. 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.