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8 search results found

Awesome Shapley Value ⭐ 63

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

Lime Sam ⭐ 16

LIME-SAM aims to create an Explainable Artificial Intelligence (XAI) framework for image classification using LIME (Local Interpretable Model-agnostic Explanations) as the base algorithm, with the super-pixel method replaced by Segment Anything by Meta (SAM).

Modeling Uncertainty Local Explainability ⭐ 16

Local explanations with uncertainty 💐!

Dlime_experiments ⭐ 16

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Explainableml Vision ⭐ 14

This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.

Lime Caae ⭐ 8

Pytorch Implementation of the Explainable Conditional Adversarial Autoencoder using LIME

Visualime ⭐ 5

Implementation of LIME focused on producing user-centric local explanations for image classifiers.

A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.

1-8 of 8 search results

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