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repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 18h ago

shap/shap

A game theoretic approach to explain the output of any machine learning model.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Implements

paperRobust Strategic Classification under Decision-Dependent Cost Uncertainty paperTriadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMs paperReliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models

Related to

glossary_termInference

Covers

newsGeneral Intuition’s $2.3B bet that video games can train AI agents for the real world newsFun Game - https://numdle-game.pages.dev/ [P]

Related across the graph

paperTriadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMs paperRobust Strategic Classification under Decision-Dependent Cost Uncertainty newsGeneral Intuition’s $2.3B bet that video games can train AI agents for the real world newsFun Game - https://numdle-game.pages.dev/ [P]paperReliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models glossary_termInference

Topics

deep-learning explainability gradient-boosting interpretability machine-learning shap shapley