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
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Counterfactual SHAP: a framework for counterfactual feature importance
Counterfactual Shapley Additive Explanation: Experiments
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Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
Repository for On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
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.
cfid: R package for identifying counterfactuals.
🔮 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
A hyperintensional theorem prover for modal, counterfactual conditional, constitutive explanatory, and extensional operators.
Counterfactual text reviews generator
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
This project aims to touch on the most important topics in the field of Responsible AI including bias, fairness, interpretability, error analysis and counterfactuals. Why apply those concepts to the adult dataset
Classifier with Counterfactual Samples and Active Learning
Implementation of the paper "Evaluating the Reliability of Self-Explanations in Large Language Models"
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