explainable-machine-learning

📍 Interactive Studio for Explanatory Model Analysis

A Python library for Secure and Explainable Machine Learning

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

Explainable Machine Learning in Survival Analysis

A collection of algorithms of counterfactual explanations.

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

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

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

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

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

Counterfactual SHAP: a framework for counterfactual feature importance

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

A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.

Predicting whether an African country will be in recession or not with advanced machine learning techniques involving class imbalance, cost-sensitive learning and explainable machine learning

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

Explaining sentiment classification by generating synthetic exemplars and counter-exemplars in the latent space

In this data science project, an eXplainable Hate Speech Classification model developed with BERT and SHAP Explanation tool.

Counterfactual Shapley Additive Explanation: Experiments

Getting explanations for predictions made by black box models.

XMLX GitHub configuration