1 repo
Awesome GitHub RepositoriesExplainable AI Documentation
Educational resources and guides for understanding model interpretability.
Distinguishing note: Focuses on learning materials rather than the implementation of the algorithms themselves.
Explore 1 awesome GitHub repository matching education & learning resources · Explainable AI Documentation. Refine with filters or upvote what's useful.
Awesome Explainable AI Documentation GitHub Repositories
Find the best repos with AI.We'll search the best matching repositories with AI.
- shap/shap
shap/shap
25,049View on GitHubSHAP is an explainable AI toolkit that provides a game theoretic framework for interpreting machine learning model predictions. It functions as a feature attribution engine, decomposing model outputs into the sum of individual feature effects to clarify how specific input variables influence a final decision. By assigning importance values to these inputs, the library enables users to understand the logic behind complex predictive models. The project distinguishes itself through its versatility and specialized calculation methods. It operates as a model-agnostic diagnostic library, capable of
Provides a game theoretic approach to explain the output of any machine learning model.
Jupyter Notebookdeep-learningexplainabilitygradient-boosting
