NL
monikkinom/ner-lstm
Named Entity Recognition using multilayered bidirectional LSTM
538 180 +0/wk
GitHub
deep-neural-networks embeddings lstm named-entity-recognition natural-language-processing recurrent-neural-networks tensorflow
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
monikkinom/ner-lstm 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 | ner-lstm | LettuceDetect | Laplace | minecraft-mcp-server |
|---|---|---|---|---|
| Stars | 538 | 538 | 538 | 538 |
| Forks | 180 | 38 | 89 | 55 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | Apache-2.0 |
Capability Radar vs LettuceDetect
ner-lstm
LettuceDetect
Maintenance Activity 0
Last code push 2587 days ago.
Community Engagement 100
Fork-to-star ratio: 33.5%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.