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A PyTorch library providing state-of-the-art methods for generating visual explanations (Class Activation Maps) for computer vision models.
An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.
A curated collection of research papers, books, courses, and Python libraries for explainable AI (XAI) and machine learning interpretability.
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