BN
kamalkraj/BERT-NER-TF
Named Entity Recognition with BERT using TensorFlow 2.0
213 68 +0/wk
GitHub
bert bert-ner curl inference named-entity-recognition postman pretrained-models tensorflow tensorflow-2 tensorflow-2-example
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
kamalkraj/BERT-NER-TF 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-TF | baibot | AI-Blueprints | xagent |
|---|---|---|---|---|
| Stars | 213 | 213 | 212 | 212 |
| Forks | 68 | 38 | 16 | 29 |
| Weekly Growth | +0 | +0 | +0 | +4 |
| Language | Python | Rust | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | AGPL-3.0 | MIT | NOASSERTION |
Capability Radar vs baibot
BERT-NER-TF
baibot
Maintenance Activity 0
Last code push 1234 days ago.
Community Engagement 100
Fork-to-star ratio: 31.9%. 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.