📍 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

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

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

A collection of algorithms of counterfactual explanations.

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

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)

XLabel: An Explainable Data Labeling Assistant

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