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mlops-patterns

maintained by colingwuyu

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Follow these patterns when implementing MLOps features in OptAIC. Use for ML model definitions (5-component structure), model instances, training/inference pipelines, model registry, and monitoring. Covers signal models, macro regime models, relevance models, and signal combining/filtering models.

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  • Comprehensive skill evaluation and performance tracking
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  • Easy integration with Claude Code
  • Regular updates and maintenance

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Skill Details

GitHub Stars 0
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Created Jan 2026
Last Updated 5 months ago
tools tools machine learning

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