📍 Interactive Studio for Explanatory Model Analysis

A Python library for Secure and Explainable Machine Learning

Explainable Machine Learning in Survival Analysis

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

A collection of algorithms of counterfactual explanations.

A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"

Code repository for the online course Machine Learning Interpretability

The PyTorch implementation for "DEAL: Disentangle and Localize Concept-level Explanations for VLMs" (ECCV 2024 Strong Double Blind)

Counterfactual SHAP: a framework for counterfactual feature importance

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

Counterfactual Shapley Additive Explanation: Experiments

Language Model Learning a Dataset for Data-Augmented Prediction

This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics

The Pytorch implementation for "Are Data-driven Explanations Robust against Out-of-distribution Data?" (CVPR 2023)

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

XLabel: An Explainable Data Labeling Assistant