BN
yg211/bert_nli
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
139 27 +0/wk
GitHub
albert bert mixed-precision-training natural-language-inference natural-language-processing nli nli-model
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
yg211/bert_nli has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | bert_nli | Repo-2019 | chinese-law-bert-similarity | bert-sequence-tagging |
|---|---|---|---|---|
| Stars | 139 | 139 | 140 | 140 |
| Forks | 27 | 73 | 28 | 35 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | MIT | N/A |
Capability Radar vs Repo-2019
bert_nli
Repo-2019
Maintenance Activity 0
Last code push 794 days ago.
Community Engagement 97
Fork-to-star ratio: 19.4%. 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.