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interpretable-machine-learning

Here are 5 public repositories matching this topic...

Montimage / maip

A platform that provides users with easy access to AI services developed by Montimage and usage of explainable AI techniques (e.g., LIME, SHAP).

deep-learning interactive-visualizations lime anomaly-detection adversarial-attacks explainable-ai interpretable-machine-learning shap

Updated Feb 17, 2026
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zemlyansky / importance

Permutation feature importance

feature-selection feature-importance xai interpretable-machine-learning

Updated Sep 9, 2026
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peymanrasouli / categorical_locality

Interpreting Categorical Data Classifiers using Explanation-based Locality

classification black-box-model categorical-data explainable-ai xai surrogate-models interpretable-machine-learning local-explanations

Updated Feb 11, 2023
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weightpruningdamage / weightpruningdamage.github.io

What do deep neural networks "forget"?

machine-learning deep-neural-networks pruning research-paper robustness interpretable-machine-learning

Updated Apr 22, 2020
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angrybayblade / nnviz

📊 NNViz is interactive visualization tool for Tensorflow made neural networks.

deep-neural-networks tensorflow artificial-intelligence artificial-neural-networks visualization-tools interpretable-machine-learning

Updated Jan 12, 2021
JavaScript

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