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example-based-explanations

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JonathanCrabbe /Simplex

This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.

machine-learning artificial-intelligence neural-networks method interpretability feature-importance explainable-ai latent-space latent-representations neurips example-based-explanations neurips-2021

UpdatedJan 31, 2023
Python

maxidl /MMD-critic

A PyTorch based implementation of MMD-critic

pytorch prototypes interpretability explanations criticisms example-based-explanations

UpdatedNov 12, 2020
Python

cincer

abonte /cincer

Interactive Label Cleaning with Example-based Explanations

machine-learning deep-learning interactive-learning example-based-explanations neurips-2021

UpdatedOct 26, 2021
Python

xrf

henrikbostrom /xrf

xrf is a Python package that implements random forests with example attribution

machine-learning random-forest regression classification explainable-artificial-intelligence explainable-ai explainable-ml explainability explainable-machine-learning example-based-explanations

UpdatedJun 25, 2025
Python

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