Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

XAI - An eXplainability toolbox for machine learning

Neural network visualization toolkit for tf.keras

Fast and incremental explanations for online machine learning models. Works best with the river framework.

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

a tool for comparing the predictions of any text classifiers

Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

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

📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights

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

Xi method

XAI approaches based on the TensorFlow framework to understand neural networks decision

This project uses XAI to make AI-based Alzheimer's predictions understandable for doctors, aiming to improve diagnosis & treatment for patients