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XAI Method for explaining time-series
LASTS is a framework that can explain the decisions of black box models for time series classification. The explanation consists of factual and counterfactual rules revealing... -
TriplEx - Explaining with Triples
TRIPLEX is an explainability package for Transformer-based models fine-tuned on Natural Language Inference, Semantic Text Similarity, or Text Classification tasks. TRIPLEX... -
GLocalX-C
A Python library to explain machine learning models by hierarchically aggregating single explanations of its predictions. Explanations are provided as decision rules...
