jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
4.1k
Stars
629
Forks
55.4
Radar Score
Stable
Momentum
Scoring Breakdown
Impact81.3
Velocity33.9
Health44.3
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
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Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
CC0-1.0
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
55.4
Composite of Impact, Velocity, and Health.
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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