CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
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Updated
Oct 2, 2023 - Python
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
Classifier with Counterfactual Samples and Active Learning
A hyperintensional theorem prover for modal, counterfactual conditional, constitutive explanatory, and extensional operators.
🔮 Master Thesis for Double Degree for Master in Software Engineering at FH Technikum Wien: Analysis of Counterfactuals with Statistical Inference System
This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference
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