Cv ema model averaging
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Select the narrowest matching method below, then read its full entrypoint and the resources it requires. If multiple methods cover the same outcome, choose the one matching the user's environment and inputs; do not run them all. Retain each method's input requirements, decision steps, validation, output structure, and failure handling. If prerequisites are absent, use its honest proposal-only fallback or state that its documented path is blocked.
- **wenmin-wu/cv-ema-model-averaging**: Tracks an Exponential Moving Average of model weights during training and evaluates both live and EMA models for more stable predictions. Read `references/wenmin-wu/skills/cv/ema-model-averaging/SKILL.md`.
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