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
Why And What If: Causal Inference for Everyone
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
Counterfactual SHAP: a framework for counterfactual feature importance
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
Counterfactual Shapley Additive Explanation: Experiments
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
cfid: R package for identifying counterfactuals.
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
A hyperintensional theorem prover for counterfactual conditional, modal, constitutive explanatory, relevance, and extensional operators.
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
Counterfactual text reviews generator
Classifier with Counterfactual Samples and Active Learning
Repository for On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
🔮 Master Thesis for Double Degree for Master in Software Engineering at FH Technikum Wien: Analysis of Counterfactuals with Statistical Inference System
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
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