BS
charles9n/bert-sklearn
a sklearn wrapper for Google's BERT model
301 70 +0/wk
GitHub
bert conll-2003 language-model named-entity-recognition natural-language-processing ner nlp pytorch scikit-learn transfer-learning
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
charles9n/bert-sklearn has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | bert-sklearn | Awesome-KV-Cache-Optimization | mindpocket | rasa_nlu_gq |
|---|---|---|---|---|
| Stars | 301 | 300 | 303 | 304 |
| Forks | 70 | 10 | 152 | 94 |
| Weekly Growth | +0 | +1 | +4 | +0 |
| Language | Jupyter Notebook | Python | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | N/A | Apache-2.0 |
Capability Radar vs Awesome-KV-Cache-Optimization
bert-sklearn
Awesome-KV-Cache-Optimization
Maintenance Activity 0
Last code push 1260 days ago.
Community Engagement 100
Fork-to-star ratio: 23.3%. 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 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.