Chest X-Ray Images (Pneumonia) classification: https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia
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Updated
Nov 29, 2021 - Python
Chest X-Ray Images (Pneumonia) classification: https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia
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Repository for the Linkit Beginner Challenge on Explainable ML using SHAP values.
Binary Classification with Neural Networks and Bayesian Optimization and SHAP Model Explanations
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
A method for conditional shapley value estimation, built off the shapr package: https://github.com/NorskRegnesentral/shapr/tree/master
Ths repo has the list of Interesting Literature in the domain of XAI
Detecting sarcasm in Reddit comments
Paper and resources collections about interpretable AI (XAI)
Explain and interpret predictions of tree-based machine learning models
In this repository you will fine explainability of machine learning models.
Experiments on machine learning explainability
Demo on performing Explainable AI using the SHAP Library
Exploration of ML Explainability Methods on the Statlog (Heart) Data Set
Awesome papers on Interpretable Machine Learning
This repository provides a summarization of recent empirical studies/human studies that measure human understanding with machine explanations in human-AI interactions.
Code for the paper Tětková et al.: Knowledge Graphs for Empirical Concept Retrieval (accepted to The 2nd World Conference on eXplainable Artificial Intelligence).
XMLX GitHub configuration
A curated list of awesome contrastive explanation in ML resources
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