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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.

model-development

Use when designing, training, validating, comparing, or debugging machine-learning models and the datasets/features they depend on.

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

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