explainable-machine-learning

📍 Interactive Studio for Explanatory Model Analysis

A Python library for Secure and Explainable Machine Learning

Explainable Machine Learning in Survival Analysis

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

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 YOLO object detection models using Layerwise Relevance Propagation (LRP/CRP).

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

Counterfactual Shapley Additive Explanation: Experiments

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

GEMEX is a novel, model-agnostic Explainable AI (XAI) library grounded in Riemannian information geometry and differential geometry. It treats a trained model as defining a statistical manifold equipped with the Fisher Information Metric and derives all explanations from the intrinsic geometry of that manifold.

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

📊 Language Model Learning a Dataset for Data-Augmented Prediction

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

An R package providing functions for interpreting and distilling machine learning models