Measuring galaxy environmental distance scales with GNNs and explainable ML models

A Python library for Secure and Explainable Machine Learning

Explainable Ensemble Trees

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

Final year project, exploring the field of quantum machine learning.

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

Explainable Machine Learning in Survival Analysis

BBBP Explainer is a code to generate structural alerts of blood-brain barrier penetrating and non-penetrating drugs using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from BBBP dataset.

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.

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

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

Ths repo has the list of Interesting Literature in the domain of XAI

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

[Frontiers in AI Journal] Implementation of the paper "Interpreting Vision and Language Generative Models with Semantic Visual Priors"

Reading list for adversarial perspective and robustness in deep reinforcement learning.

Code for the School of AI challenge "Explainable AI for Wildfire Forecasting", sponsored by Pi School to help NOA, the National Observatory of Athens, work with Explainable Deep Learning for Wildfire Forecasting.

📍 Interactive Studio for Explanatory Model Analysis

Counterfactual SHAP: a framework for counterfactual feature importance

Counterfactual Shapley Additive Explanation: Experiments