📍 Interactive Studio for Explanatory Model Analysis

visualization learning r ai interactive model machine human interactivity interpretability explainable-ai xai model-visualization interpretable interpretable-machine-learning iml explainable explanatory-model-analysis explainable-machine-learning

• Updated Aug 31, 2023
• R

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

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• Updated Aug 8, 2022

SurvSHAP(t): Time-dependent explanations of machine learning survival models

learning model machine variable-importance biostatistics survival-analysis machinelearning survival cox-regression cox-model time-to-event explainable-ai xai interpretable cph brier-scores shap explainable censored probabilistic-machine-learning

• Updated Jan 4, 2024
• Jupyter Notebook

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
• R

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 May 11, 2026
• Python

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

explainable

data database tensorflow numpy seaborn dataset explainable

• Updated Jan 3, 2023
• Jupyter Notebook

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

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• Updated Dec 24, 2019
• Python

Explainable Machine Learning (Thessaloniki Machine Learning Meetup)

machine-learning examples explainable meetup-notes

• Updated May 20, 2019
• Jupyter Notebook

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

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
• R

Project scheduling engine for Rust

rust cli language-server scheduling webassembly wasm project-management text-based gantt-chart deterministic cpm lsp critical-path-method explainable git-friendly

• Updated Mar 3, 2026
• Rust

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

Create beautiful, interactive charts for explainable AI using MLFlow

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

• Updated Jul 28, 2025
• JavaScript

A 🐶🐱 explanation of generative neural nets

gan datavisualization explainable

• Updated Apr 23, 2024
• Jupyter Notebook

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

A runtime monitoring tool that produces explanations as verdicts

runtime-monitoring explainable temporal-logics

• Updated Oct 30, 2026
• Isabelle

Structural Causal Model (SCM) approach to explainable reinforcement learning

rl causality explainable explainable-rl structural-causal-model

• Updated Jan 24, 2025
• Python

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

argumentation explainable

• Updated Oct 26, 2023
• Python

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

• Updated Feb 19, 2021
• Python