Self-explanatory tutorials for different model-agnostic and model-specific XAI methods
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Jun 25, 2026 - Jupyter Notebook
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model-agnostic-explanations
Here are 15 public repositories matching this topic...
counterfactuals: An R package for Counterfactual Explanation Methods
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Jan 14, 2026 - HTML
SLISEMAP: Combining supervised dimensionality reduction with local explanations
python machine-learning research pytorch dimensionality-reduction research-paper explainable-ai xai local-explanations model-agnostic-explanations global-explanation supervised-dimensionality-reduction manifold-visualization
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Apr 24, 2025 - Python
Approximate Inverse Model Explanations (AIME): model-agnostic XAI through an approximate inverse operator.
python machine-learning python3 inverse-problems interpretability feature-importance explainable-ai xai model-agnostic xai-library model-agnostic-explanations interpretability-and-explainability aime-xai
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Jun 22, 2026 - Python
Local Universal Rule-based Explanations
interpretability explainable-artificial-intelligence explainability counterfactual-explanations local-explanations model-agnostic-explanations rule-based-explanations
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Dec 17, 2025 - Python
GEMEX is a novel, model-agnostic Explainable AI (XAI) library grounded in Riemannian information geometry and differential geometry. It treats a trained model as defining a statistical manifold equipped with the Fisher Information Metric and derives all explanations from the intrinsic geometry of that manifold.
artificial-intelligence differential-geometry manifold intelligent-systems explainable-artificial-intelligence explainable-ai explainable-ml xai riemannian-geometry model-agnostic model-agnostic-explanations explainable-machine-learning gemex riemannian-information-geometry fisher-information-metric
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Jun 4, 2026 - Python
We've developed a powerful binary dog and cat image classifier, driven by advanced deep learning techniques, and enhanced its transparency using Local Interpretable Model-agnostic Explanations (LIME). Witness the magic as the model accurately predicts dog and cat images while LIME reveals the intricate decision-making process behind each result.
machine-learning deep-neural-networks computer-vision deep-learning binary-classification lime explainable-artificial-intelligence explainable-ai xai shap model-agnostic-explanations
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Nov 29, 2023 - Jupyter Notebook
A machine learning project developing classification models to predict COVID-19 diagnosis in paediatric patients.
python data-science machine-learning random-forest pipelines hyperparameter-optimization data-preprocessing data-cleaning decision-tree hyperparameter-tuning shapely smote oversampling classification-models model-interpretability classification-algorithms missing-data-imputation model-agnostic-explanations model-optimization global-surrogate-method
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Jul 21, 2020 - Jupyter Notebook
This repository presents a comprehensive research paper exploring the role of Explainable Artificial Intelligence (XAI) in modern Machine Learning. It aims to shed light on the interpretability of 'black-box' models like Neural Networks, Explainable AI and highlights the need for transparent, human-understandable ML systems.
knowledge-graph neural lime black-box-model xai interpretable-machine-learning shap counterfactual-explanations local-explanations post-hoc-analysis model-agnostic-explanations post-hoc-explanation global-explanation regulatory-compliance human-ai-interaction model-specific-explanations human-ai-collaboration transparency-trade-off performance-trade-off inherently-interpretable-models
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Aug 28, 2025
Code, models and data for our paper: Th. Eleftheriadis, E. Apostolidis, V. Mezaris, "An Experimental Study on Generating Plausible Textual Explanations for Video Summarization", IEEE CBMI 2025, Special Session on Explainability in Multimedia Analysis (ExMA)
video-summarization explainable-ai model-agnostic-explanations plausibility textual-explanations model-specific-explanations vision-language-models
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Sep 29, 2025 - Python
Classifier Analysis and Fairness Considerations
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Jul 19, 2024 - Jupyter Notebook
Analysis of hotel booking cancellations with EDA, preprocessing, basic model comparison, and model-agnostic interpretation.
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Oct 13, 2025 - Jupyter Notebook
Code, models and data for our paper: K. Tsigos, E. Apostolidis, V. Mezaris, "An Integrated Framework for Multi-Granular Explanation of Video Summarization", Frontiers in Signal Processing, vol. 4, 2024
video-summarization explainable-ai model-agnostic-explanations qualitative-evaluation quantitative-evaluation model-specific-explanations fragment-level-explanation object-level-explanation
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Aug 26, 2025 - Python
Model-independent visual explanation methods for image classifiers.
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Oct 15, 2020 - Jupyter Notebook
LOMATCE: LOcal Model-Agnostic Time-series Classification Explanations
time-series local lime explainable-artificial-intelligence xai local-explanations timeseries-classification model-agnostic-explanations univariate-timeseries
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Jun 25, 2026 - Python
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