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model-agnostic-explanations

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utkukose / gemex

Star 6

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
  • Updated Apr 8, 2026
  • Python

Purushothaman-natarajan / XAI-lime-on-Binary-Image-Classifier

Star 1

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
  • Updated Nov 29, 2023
  • Jupyter Notebook

amascasadesus / ML-for-Paediatric-Covid-Diagnosis

Star 1

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
  • Updated Jul 21, 2020
  • Jupyter Notebook

IDT-ITI / Text-XAI-Video-Summaries

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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
  • Updated Sep 29, 2025
  • Python

rishiraajrs / Expanding-Knowledge-on-ML-Explainable-Models-for-Smarter-Decisions

Star 0

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
  • Updated Aug 28, 2025

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