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Explaining Machine Learning Models
explaining-machine-learning-models
jeremylongshore/claude-code-plugins-plus-skills
270
Provides interpretable explanations for ML predictions using SHAP, LIME, and other techniques, helping debug model behavior, highlight feature importance, and communicate fairness insights to stakeholders.
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Replicate Model Automation
replicate-automation
ComposioHQ/awesome-claude-skills
74
Automate Replicate AI workflows via the Composio MCP integration to inspect model schemas, run predictions (sync or async), upload input files, list versions, and manage prediction history and related assets.
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Shap Model Interpretation
shap
K-Dense-AI/claude-scientific-skills
277
Explain machine learning predictions with SHAP values, generate global and local plots (beeswarm, waterfall, force), compare models, debug bias, and ship explainable AI in production.
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简体中文
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