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eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
28.8k 3.8k -1/wk
GitHub HuggingFace 2-source
applied-data-science applied-machine-learning computer-vision data-discovery data-engineering data-quality data-science deep-learning machine-learning natural-language-processing production recsys
Trend
0
Star & Fork Trend (32 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
eugeneyan/applied-ml has -1 stars this period , with cross-source activity across 2 platforms (github, huggingface). 7-day velocity: -0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | applied-ml | machine-learning-for-software-engineers | awesome-datascience | langgraph |
|---|---|---|---|---|
| Stars | 28.8k | 28.7k | 28.8k | 28.7k |
| Forks | 3.8k | 6.2k | 6.4k | 4.9k |
| Weekly Growth | -1 | +4 | +3 | +75 |
| Language | N/A | N/A | N/A | Python |
| Sources | 2 | 1 | 1 | 2 |
| License | MIT | CC-BY-SA-4.0 | MIT | MIT |
Capability Radar vs machine-learning-for-software-engineers
applied-ml
machine-learning-for-software-engineers
Maintenance Activity 0
Last code push 629 days ago.
Community Engagement 67
Fork-to-star ratio: 13.4%. 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.