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DeepLIFT is a deep learning library that implements feature importance methods like DeepLIFT, gradients, and integrated gradients for explaining model predictions. It provides tools to convert Keras models and compute contribution scores for specific layers, with support for various attribution rules like RevealCancel and Rescale.
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