CN
mannefedov/compling_nlp_hse_course
Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ
187 78 +0/wk
GitHub
computational-linguistics course hse machine-learning natural-language-processing nlp python
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mannefedov/compling_nlp_hse_course has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | compling_nlp_hse_course | rse-grand-challenge | flash-sinkhorn | agentic-ai-apis |
|---|---|---|---|---|
| Stars | 187 | 187 | 187 | 187 |
| Forks | 78 | 59 | 19 | 65 |
| Weekly Growth | +0 | +0 | +0 | +90 |
| Language | Jupyter Notebook | Python | Python | JavaScript |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | MIT | N/A |
Capability Radar vs rse-grand-challenge
compling_nlp_hse_course
rse-grand-challenge
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 20
Fork-to-star ratio: 41.7%. 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.