BN
lonePatient/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
2.2k 433 +0/wk
GitHub
adversarial-training albert bert chinese crf focal-loss labelsmoothing ner nlp pytorch softmax span
Trend
0
Star & Fork Trend (33 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lonePatient/BERT-NER-Pytorch 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-NER-Pytorch | NLPer-Arsenal | MemoRAG | textacy |
|---|---|---|---|---|
| Stars | 2.2k | 2.2k | 2.2k | 2.2k |
| Forks | 433 | 248 | 154 | 249 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | NOASSERTION |
Capability Radar vs NLPer-Arsenal
BERT-NER-Pytorch
NLPer-Arsenal
Maintenance Activity 0
Last code push 1125 days ago.
Community Engagement 97
Fork-to-star ratio: 19.3%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.