MC
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
3.3k 593 +0/wk
GitHub
data-engineering data-quality data-science deep-learning distributed-ml llms machine-learning mlops natural-language-processing python pytorch ray
Trend
0
Star & Fork Trend (24 data points)
Stars
Forks
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Growth Velocity
GokuMohandas/mlops-course has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | mlops-course | awesome-quantum-machine-learning | MGM | Data-Science-Interview-Resources |
|---|---|---|---|---|
| Stars | 3.3k | 3.3k | 3.3k | 3.3k |
| Forks | 593 | 768 | 275 | 758 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | HTML | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | CC0-1.0 | Apache-2.0 | MIT |
Capability Radar vs awesome-quantum-machine-learning
mlops-course
awesome-quantum-machine-learning
Maintenance Activity 0
Last code push 601 days ago.
Community Engagement 89
Fork-to-star ratio: 17.8%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.