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clean-ml-engineering

Jupyter notebooks applying clean code and design patterns to ML engineering. Each notebook shows an anti-pattern and its refactored solution. Ships as an MCP server so Claude can reference the exercis

updated 12d agogithub ↗
71fair
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
0
0.0
Quality
10%
60
6.0
Trust
10%
50
5.0
Total
71.0
⚿ Capabilities & Risk Explainer
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◆ Risk level: low
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⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/GeorgiosLymperis/clean-ml-engineering
📈 Score historylast 17 snapshots
5/25/20266/10/2026 · 17 snapshots
⚙ Maintenance health
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⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length4795 chars
last publish2d ago
last commit12d ago
last updated5d ago
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