Popular GitHub Repositories for Explainable Artificial Intelligence

A generalized gradient-based CNN visualization technique

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

Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"

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

A curated list of explainability-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the explainability implications, challenges, and advancements surrounding these powerful models.

The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.

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

XAIoGraphs (eXplainability Articicial Intelligence over Graphs) is an Explicability and Fairness Python library for classification problems with tabulated and discretized data.

This repo contains the code of my Master's Thesis. Specifically, it consists in exploring different techniques(Explanable AI, Physics Informed NN, ...) to perform State Estimation

An experimental universal intelligence

A collection of notebooks to explore bias, fairness and explainability of machine learning models

Decisify is a Python package that leverages generative AI to explain decisions made by optimization models.