machine-learning-interpretability

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explainX / explainx

Explain & debug any blackbox machine learning model with a single line of code.

machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx

Updated Jul 13, 2026
Python

12wang3 / mllp

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The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml

Updated Mar 10, 2024
Python

INVASE: Instance-wise Variable Selection . For more details, read the paper "INVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019.

machine-learning machine-learning-algorithms pytorch interpretability xai machine-learning-interpretability

Updated Aug 30, 2022
Python

hayesall / bn-rule-extraction

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Rule Extraction from Bayesian Networks

machine-learning bayesian-network interpretability rule-extraction machine-learning-interpretability trustworthy-ai

Updated Jan 4, 2022
Python

nilsdenter / novelty_value_ml

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This project contains the data, code and results used in the paper title "On the relationship of novelty and value in digitalization patents: A machine learning approach".

machine-learning scikit-learn machine-learning-algorithms machinelearning patents machine-learning-models partial-dependence-plot machinelearning-python patentsview machine-learning-interpretability permutation-importance kpss machine-learning-interpretation

Updated Jul 13, 2022
Python

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machine-learning-interpretability

Here are 5 public repositories matching this topic...

explainX / explainx

12wang3 / mllp

vanderschaarlab / INVASE

hayesall / bn-rule-extraction

nilsdenter / novelty_value_ml

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