A hyperintensional theorem prover for rapidly prototyping modular semantic theories
CEval is a Python package for evaluating the quality of counterfactual explanations produced by any post-hoc XAI (Explainable AI) method. It computes 14 established metrics with a single call and works with diverse model architecture.
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
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TSCFEval - A model-agnostic framework for systematic evaluation of counterfactual explanations in time series classification
