M-Nauta

TCDF

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

ProtoTree

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

PIPNet

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

Explaining_Prototypes

This repository contains code for explaining prototypes learned by ProtoPNet, by quantifying the influence of color hue, shape, texture, contrast and saturation in a prototype

LIFT

Learning Fault Trees from Observational Data

InterVENE

Interactively Visualizing and Explaining Neural Embeddings

xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

Awesome-explainable-AI

A collection of research materials on explainable AI/ML

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

xai-papers