GiacomoSaccaggi/scomp_link

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

12Stars on the repository

3Mods indexed here, across every type

yesterdayLast push, which is what freshness is scored on

MITLicence, which decides whether bodies are shown

Sort Relevance Recently updated Fewest tokens Security grade Repo stars Stars this week Top rated 1 mods

scomp-link

GiacomoSaccaggi/scomp_link

Plugin Cursor

Bundles 1 skill · 74 tokens together

End-to-end machine learning toolkit with 15 MCP tools. Train models, tune hyperparameters, detect drift, generate HTML reports with 39 chart types, detect anomalies, forecast time series, check fairness, and serve models.

not rated 12 yesterday A tokens not measured original MIT