afshinea/stanford-cme-295-transformers-large-language-models
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
5.1k
Stars
727
Forks
60.3
Radar Score
Rising
Momentum
Scoring Breakdown
Impact86.8
Velocity41.4
Health44.1
Growth Metrics
7-Day Stars
+32
30-Day Stars
+158
Acceleration
0.81x
Language
—
Why it ranks
Steady growth — consistently collecting stars and contributors.
Top 97% globallyLast push 56d ago+32 stars / 7d+158 stars / 30d
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
81%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
60.3
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 4 open issues for 5,054 stars (0.1%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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