A hyperintensional theorem prover for modal, counterfactual conditional, constitutive explanatory, and extensional operators.
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Updated
Jun 7, 2024 - Python
A hyperintensional theorem prover for modal, counterfactual conditional, constitutive explanatory, and extensional operators.
This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference
Repository for On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
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
cfid: R package for identifying counterfactuals.
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Counterfactual SHAP: a framework for counterfactual feature importance
Counterfactual Shapley Additive Explanation: Experiments
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
Counterfactual text reviews generator
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
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
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
Why And What If: Causal Inference for Everyone
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
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