Skip to content

laxmi-narayan-87/ml-engineering-suite

v0.1.0

A unified machine-learning engineering toolkit spanning dataset quality, model development, hyperparameter optimization, MLOps pipelines, deployment, monitoring, and rollback.

hyperparameter-tuning

Use when setting up grid/random/Bayesian hyperparameter search, cross-validation, early stopping, model comparison, or an optimization budget for ML models.

Read SKILL.md at the source

Pinned to revision 194288e7cc05, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.