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

UpdatedSep 29, 2022
R

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

UpdatedDec 14, 2020
Python

oegedijk /explainingtitanic

Sponsor

Star19

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

UpdatedOct 15, 2024
Python

EPSOFT /explainable

Star12

explainable

data database tensorflow numpy seaborn dataset explainable

UpdatedJan 3, 2023
Jupyter Notebook

iamollas /Explainable_ML_Meetup

Star10

Explainable Machine Learning (Thessaloniki Machine Learning Meetup)

machine-learning examples explainable meetup-notes

UpdatedMay 20, 2019
Jupyter Notebook

yuvalailer /nnplot

Star10

📺 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

UpdatedDec 24, 2019
Python

EloiZ /awesome_explainable_driving

Star7

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

UpdatedJan 27, 2021

breimanntools /xomics

Star7

Python framework for explainable omics analysis

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

UpdatedJul 23, 2024
Jupyter Notebook

cloudexplain /xaiflow

Star7

Create beautiful, interactive charts for explainable AI using MLFlow

visualization machine-learning explainable-ai shap explainability explainable shapley-values

UpdatedJul 28, 2025
JavaScript

MI2DataLab /xlungs-trustworthy-los-prediction

Star7

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

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

UpdatedMar 20, 2023
R

wodeni /image-synthesis-explained

Star5

A 🐶🐱 explanation of generative neural nets

gan datavisualization explainable

UpdatedApr 23, 2024
Jupyter Notebook

rachellea /explainable-ct-ai

Star5

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

UpdatedDec 8, 2022
Python

runtime-monitoring /whymon

Star2

A runtime monitoring tool that produces explanations as verdicts

runtime-monitoring explainable temporal-logics

UpdatedNov 28, 2024
Isabelle

feeney92 /Group_Decision_Making_System

Star2

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

argumentation explainable

UpdatedOct 26, 2023
Python

jessicalally /explainable-rl-through-causality

Star2

Structural Causal Model (SCM) approach to explainable reinforcement learning

rl causality explainable explainable-rl structural-causal-model

UpdatedJan 24, 2025
Python

roye10 /gshap

Star2

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

UpdatedFeb 19, 2021
Python

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explainable

Here are 26 public repositories matching this topic...

ModelOriented /modelStudio

AstraZeneca /awesome-shapley-value

ReproModel /repromodel

MI2DataLab /survshap

rehmanzafar /xai-iml-sota

lethaiq /GRACE_KDD20

oegedijk /explainingtitanic

EPSOFT /explainable

iamollas /Explainable_ML_Meetup

yuvalailer /nnplot

EloiZ /awesome_explainable_driving

breimanntools /xomics

cloudexplain /xaiflow

MI2DataLab /xlungs-trustworthy-los-prediction

wodeni /image-synthesis-explained

rachellea /explainable-ct-ai

runtime-monitoring /whymon

feeney92 /Group_Decision_Making_System

jessicalally /explainable-rl-through-causality

roye10 /gshap

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