Interpretable Collection

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“Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.”

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“💡 Adversarial attacks on explanations and how to defend them”

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“📍 Interactive Studio for Explanatory Model Analysis”

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⚔️Fighting

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“Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget”

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“Pytorch implementation of various neural network interpretability methods”

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🔮Psychic

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“Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms”

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“SurvSHAP(t): Time-dependent explanations of machine learning survival models”

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“Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.”