explainable

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

machine-learning human-in-the-loop interpretability explainable-artificial-intelligence researchers interactive-machine-learning deep-learning-visualization human-in-the-loop-machine-learning explainable-ml xai interpretable interpretable-machine-learning iml model-interpretability explainable interpretable-models explainable-models interpretable-learning explaining-ai explanation-methods

Updated Sep 29, 2022
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GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon Lee. 26th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining (KDD)

ai ml grace explainable

Updated Dec 14, 2020
Python

oegedijk / explainingtitanic

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A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc

xai explainable shap-values permutation-importances individual-trees explainerdashboard

Updated Oct 15, 2024
Python

EPSOFT / explainable

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explainable

data database tensorflow numpy seaborn dataset explainable

Updated Jan 3, 2023
Jupyter Notebook

yuvalailer / nnplot

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📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights

visualization neural-network neural-networks pruning keras-neural-networks keras-visualization visualization-tools explainable-artificial-intelligence neural-network-python explainable-ai explainable-ml xai neural-network-architectures weights-visualization explainable xai-library explainable-deepneuralnetwork

Updated Dec 24, 2019
Python

iamollas / Explainable_ML_Meetup

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Explainable Machine Learning (Thessaloniki Machine Learning Meetup)

machine-learning examples explainable meetup-notes

Updated May 20, 2019
Jupyter Notebook

MI2DataLab / xlungs-trustworthy-los-prediction

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Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)

learning data ai analysis model machine deep healthcare dataset survival radiology interpretable explainable

Updated Mar 20, 2023
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breimanntools / xomics

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Python framework for explainable omics analysis

data-integration omics differential-gene-expression explainable proteomics-data-analysis missing-value-imputation

Updated Jul 23, 2024
Jupyter Notebook

EloiZ / awesome_explainable_driving

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A curated list of papers on explainability and interpretability of self-driving models

motion-planning self-driving-car autonomous-driving autonomous-vehicles self-driving interpretability explainable-ai explainable-ml interpretable-machine-learning explainable explainable-deepneuralnetwork self-driving-vehicle explainable-dnn-architecture interpretable-neural-networks

Updated Jan 27, 2021

wodeni / image-synthesis-explained

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A 🐶🐱 explanation of generative neural nets

gan datavisualization explainable

Updated Apr 23, 2024
Jupyter Notebook

rachellea / explainable-ct-ai

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CT scan machine learning models including AxialNet and HiResCAM

python machine-learning neural-network grad-cam cnn pytorch artificial-intelligence classification medical-image explainable ct-scan hirescam

Updated Dec 8, 2022
Python

feeney92 / Group_Decision_Making_System

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Final report and implementation of my systems to help groups make decisions using arguments

argumentation explainable

Updated Oct 26, 2023
Python

roye10 / gshap

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This module extends the kernel SHAP method (as introduced by Lundberg and Lee (2017)) which is local in nature, to a method that computes global SHAP values.

machinelearning machine-learning-python explainable-ai xai shap explainable explainable-machine-learning global-shap agnostic-explainer