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counterfactual-explanations

Here are 75 public repositories matching this topic...

wiherreira / XAI-CounterfactualExplanations

Counterfactual Explanations, a project for CITS4404 - Artificial Intelligence and Adaptive Systems.

dice neural-networks cnn-classification alibi counterfactual-explanations ceml

Updated Oct 25, 2020
Jupyter Notebook

aivodji / mrce

Model Reconstruction from Counterfactual Explanations

model-extraction counterfactual-explanations

Updated Dec 5, 2020
Python

wangyongjie-ntu / CFAI

A collection of algorithms of counterfactual explanations.

pytorch interpretability explainable-ai explainable-ml counterfactual-explanations explainable-machine-learning recourse

Updated Mar 22, 2021
Python

da2so / Counterfactual-Explanation-Based-on-Gradual-Construction-for-Deep-Networks

Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch

interpretability explainable-ai xai counterfactual-explanations

Updated Apr 7, 2021
Python

AIML-research / CSCG-Counterfactuals

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.

explainable-ai xai responsible-ai counterfactual-explanations sequential-counterfactuals

Updated Apr 13, 2021
Python

churn-hotel-xgboost-alibi

lennartwallentin / churn-hotel-xgboost-alibi

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.

numpy scikit-learn pandas xgboost classification data-preparation bayesian-optimization churn hotel-booking xgboost-model xgboost-python alibi counterfactual-explanations

Updated May 11, 2021
Jupyter Notebook

swarna-kpaul / genfact

Counterfactual causal analysis

python machine-learning genetic-algorithms causality-analysis counterfactual-explanations

Updated Jun 24, 2021
Python

BirkhoffG / Explainable-ML-Papers

A list of research papers of explainable machine learning.

machine-learning awesome research paper academic survey human-in-the-loop interpretability human-in-the-loop-machine-learning explanations interpretable-ml explainable-ml xai explainability counterfactual-explanations interpretable-models recourse trustworthy-machine-learning human-ai-interaction

Updated Jun 25, 2021

PierreBlanchart / CMBDTC

counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability

xgboost tree-ensemble interpretability counterfactual explainable-ai counterfactual-explanations

Updated Jul 5, 2021
C++

lange-martin / xai-privacy

Experiments of the bachlor's thesis "Quantitive Evaluation of the Expected Antagonism of Explainability and Privacy". Two explainers are tested against privacy attacks.

machine-learning explainable-ai explainable-ml xai interpretable-machine-learning counterfactual-explanations individual-conditional-expectation

Updated Aug 25, 2021
Jupyter Notebook

BirkhoffG / counternet

This is the official repository of the paper "CounterNet: End-to-End Training of Counterfactual Aware Predictions".

machine-learning deep-learning pytorch interpretability explainable-ai xai interpretable-machine-learning explainability counterfactual-explanations nbdev recourse

Updated Sep 18, 2021
Jupyter Notebook

ksoh97 / BIN

Tensorflow implementation of "Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision"

deep-learning interpretability counterfactual-explanations

Updated Nov 13, 2021
Python

prclibo / ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

pytorch gan interpretability face-generation explainable-artificial-intelligence interpretable-deep-learning interpretable-ai explainable-ai explainable-ml face-manipulation explainability face-editing counterfactual-explanations stylegan2 explainable-machine-learning

Updated Jan 5, 2022
Jupyter Notebook

peymanrasouli / RobustML

Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations

machine-learning tabular-data classification blackbox counterfactual-explanations robustness-analysis robustness-improvement

Updated Jan 26, 2022
Python

danilonumeroso / meg

Molecular Explanation Generator

reinforcement-learning interpretability explainable-ai counterfactual-explanations deep-graph-networks deep-learning-for-graphs

Updated Jan 26, 2022
Python

Silviatulli / dyadic-minigrid

multiplayer game and chat for collecting data on human counterfactual explanations in a collaborative learning task

nodejs socket-io multiplayer-game dataset-generation counterfactual-explanations gym-minigrid data-driven-reinforcement-learning

Updated Feb 2, 2022
JavaScript

tridungduong16 / MultiObjective-SCM-CounterfactualExplanation

Generating counterfactual samples for machine learning model with SCM and prototypes.

multiobjective-optimization interpretable-machine-learning counterfactual-explanations

Updated Feb 15, 2022
Python

olivesgatech / Explanatory-Paradigms

Code used in the paper `Explanatory Paradigms in Neural Networks', published in the Signal Processing Magazine

interpretable-deep-learning explainability counterfactual-explanations contrastive-explanations correlation-explanations

Updated Mar 1, 2022
Python

Networks-Learning / cfact-inference-second-opinions

Code for "Counterfactual Inference of Second Opinions", UAI 2022

machine-learning causality causal-inference counterfactual-explanations human-ai-teaming counterfactual-inference gumbel-max uai2022

Updated May 17, 2022
Python

AmanPriyanshu / SCFactual-Explanations-CV

Creating a pipeline for generating semi-factual and counter-factual explanations for computer vision tasks.

cnn torch explainable-ai xai counterfactual-explanations

Updated Jun 14, 2022
Python

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