Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
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Updated
Jun 22, 2022 - Jupyter Notebook
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Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
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
cfid: R package for identifying counterfactuals.
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
Classifier with Counterfactual Samples and Active Learning
Repository for On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
Counterfactual text reviews generator
Counterfactual Shapley Additive Explanation: Experiments
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
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