Counterfactual Explanations, a project for CITS4404 - Artificial Intelligence and Adaptive Systems.
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Updated
Oct 25, 2020 - Jupyter Notebook
Counterfactual Explanations, a project for CITS4404 - Artificial Intelligence and Adaptive Systems.
Model Reconstruction from Counterfactual Explanations
A collection of algorithms of counterfactual explanations.
Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch
Code for paper "Consequence-aware Sequential Counterfactual Generation" (https://link.springer.com/chapter/10.1007/978-3-030-86520-7_42), @ ECML PKDD 2021 (). Repository maintained by Philip Naumann.
An XGBoost model in Python that classifies if a customer will cancel his/her hotel booking or not. I also use counterfactuals guided by prototypes from the Alibi package to explore the minimum changes needed to flip a prediction from canceled to not canceled and vice versa.
Counterfactual causal analysis
A list of research papers of explainable machine learning.
counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability
Experiments of the bachlor's thesis "Quantitive Evaluation of the Expected Antagonism of Explainability and Privacy". Two explainers are tested against privacy attacks.
This is the official repository of the paper "CounterNet: End-to-End Training of Counterfactual Aware Predictions".
Tensorflow implementation of "Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision"
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations
Molecular Explanation Generator
multiplayer game and chat for collecting data on human counterfactual explanations in a collaborative learning task
Generating counterfactual samples for machine learning model with SCM and prototypes.
Code used in the paper `Explanatory Paradigms in Neural Networks', published in the Signal Processing Magazine
Code for "Counterfactual Inference of Second Opinions", UAI 2022
Creating a pipeline for generating semi-factual and counter-factual explanations for computer vision tasks.
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