ML
LongxingTan/Machine-learning-interview
机器学习工程师、算法工程师、软件工程师、数据科学家-面试指南 | Interview guide for MLE, SDE, DS
285 21 +1/wk
GitHub
ai-engineer behavior-questions deep-learning faang-interview faang-preparation interview leetcode machine-learning ml-systems-design mle software-engineer-interview software-engineering
Trend
3
Star & Fork Trend (14 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
LongxingTan/Machine-learning-interview has +1 stars this period . 7-day velocity: 0.3%.
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| Metric | Machine-learning-interview | colette | maze | llm-reader |
|---|---|---|---|---|
| Stars | 285 | 285 | 286 | 286 |
| Forks | 21 | 30 | 12 | 20 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | N/A | HTML | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | NOASSERTION | NOASSERTION | MIT |
Capability Radar vs colette
Machine-learning-interview
colette
Maintenance Activity 100
Last code push 5 days ago.
Community Engagement 37
Fork-to-star ratio: 7.4%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 61
+1 stars this period — 0.35% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.