NE
Franck-Dernoncourt/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
1.7k 473 +0/wk
GitHub
deep-learning machine-learning named-entity-recognition neural-networks nlp tensorflow
Trend
3
Star & Fork Trend (29 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Franck-Dernoncourt/NeuroNER has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | NeuroNER | PWC-Net | fann | MeshCNN |
|---|---|---|---|---|
| Stars | 1.7k | 1.7k | 1.7k | 1.7k |
| Forks | 473 | 364 | 396 | 343 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | C++ | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | LGPL-2.1 | MIT |
Capability Radar vs PWC-Net
NeuroNER
PWC-Net
Maintenance Activity 0
Last code push 1111 days ago.
Community Engagement 100
Fork-to-star ratio: 27.5%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.