Shypd.aiThe largest open index of AI toolsawesome-interpretable-machine-learning is an open-source GitHub repository that curates resources for interpretable machine learning. It provides an opinionated list of papers and code for model interpretability.
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awesome-interpretable-machine-learning is an open-source GitHub repository dedicated to curating a comprehensive and opinionated list of resources for interpretable machine learning. It covers various aspects including interpretable models like simple decision trees and linear regression, feature importance models such as random forests, and feature selection methods. The repository also delves into the philosophy of model explanations, model-agnostic explanations like LIME and SHAP, and model-specific explanations for neural networks. It serves as a valuable hub for researchers and practitioners seeking to understand and implement interpretable AI models.
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