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This is the official repository of the paper "RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model".
Recourse Explanation Library in JAX
Python implementation of the work "The importance of Time in Causal Algorithmic Recourse"
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
This project Implements the paper “Robustness implies Fairness in Casual Algorithmic Recourse” using the R language.
This is the official repository of the paper "CounterNet: End-to-End Training of Counterfactual Aware Predictions".
Personal coach to help you obtain desired AI decisions!
A list of research papers of explainable machine learning.
A collection of algorithms of counterfactual explanations.
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
A collection of research materials on explainable AI/ML
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