Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
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Jan 31, 2023 - Python
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contrastive-explanations
Here are 8 public repositories matching this topic...
The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)
vehicle-routing-problem combinatorial-optimization explainability contrastive-explanations conterfactual large-language-models large-language-model llm-apps llm-applications
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Apr 5, 2024 - Python
A curated list of awesome contrastive explanation in ML resources
machine-learning awesome deep-learning awesome-list arxiv interpretability explainable-artificial-intelligence interpretable-deep-learning explainable-ai explainable-ml xai interpretable-machine-learning explainability explainable-deepneuralnetwork contrastive-explanations
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Mar 18, 2020
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
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Mar 1, 2022 - Python
🧠 Implement a bi-factual contrastive explanation system for AI decisions, enhancing understanding through formal definitions and optimized algorithms.
causal-models explainable-ai xai casual-inference counterfactual-explanations contrastive-explanations causal-graphs causal-graphical-models causal-graph counterfactual-contrastive-learning
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Apr 22, 2026 - Jupyter Notebook
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
philosophy knowledge-graph summarization theory explanation formal-concept-analysis explanations explainable-ai xai contrastive-explanations explanatory-models credit-approval heloc-dataset achinstein-theory-explanation explanatory-ai explanatory-artificial-intelligence
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May 22, 2021 - Python
This repo is related to the paper "Explainability to the Rescue: A Pattern-Based Approach for Detecting Adversarial Attacks" accepted in the 2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST) in 2024.
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Mar 6, 2025 - Jupyter Notebook
Implémentation d’un système d’IA Explicable (XAI) basé sur les explications contrastives bi-factuelles, avec optimisations algorithmiques et interface graphique CausaLytics.
causal-models explainable-ai xai casual-inference counterfactual-explanations contrastive-explanations causal-graphs causal-graphical-models causal-graph counterfactual-contrastive-learning
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Aug 30, 2025 - Jupyter Notebook
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