moDel Agnostic Language for Exploration and eXplanation

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI

A generalized gradient-based CNN visualization technique

An Open-Source Library for the interpretability of time series classifiers

TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

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

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

Mechanistic understanding and validation of large AI models with SemanticLens

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments

Local interpretability for survival models

An XAI library that helps to explain AI models in a really quick & easy way

XRouting: An explainable vehicle rerouting system based on reinforcement learning with transformer structure

A Deepfake detector based on hybrid EfficientNet CNN and Vision Transformer archietcture. The model is explainable by rendering a heatmap visualization of the Transformer Relevancy / Attention map.

Concept activation vectors for Keras

[TMI 2025] Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation