moDel Agnostic Language for Exploration and eXplanation

A generalized gradient-based CNN visualization technique

A Python package implementing a new model for text classification with visualization tools for Explainable AI

📍 Interactive Studio for Explanatory Model Analysis

ExplainX is a fast, light-weight, and scalable explainable AI framework for data scientists to explain and debug any black-box model.

Model verification, validation, and error analysis

Visualizing how deep networks make decisions

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

All about explainable AI, algorithmic fairness and more

Learning Finite State Representations of Recurrent Policy Networks

A CUDA implementation of the Tsetlin Machine based on bitwise operators

This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

💡 A curated list of awesome adversarial interpretable machine learning resources

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

Variable importance via oscillations

Automated Transparent Genetic Feature Engineering

Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".

AIC XAI 문제 1번 2팀 레파지토리

Explanations in Multi-Model Planning

Repository for Kubach et al. bioRxiv/2019/804682 (2019)

Concept activation vectors for Keras

DEPRECATED A server to provide Anchor-Explanations for machine learning models

Minimize the risks and maximize the benefits of using data-driven technologies within government processes, programs and services through transparency. | Réduire les risques et à maximiser les avantages liés à l’utilisation de technologies axées sur les données, dans le cadre de processus, programmes et services gouvernementaux, grâce à la transparence.

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

Interactive XAI dashboard

A tool for security assessment of multi-service IoT application deployment in the Fog.

A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)

Explainable AI made easy. Tool which enables developers to explore predictions of their deep learning models. Focused on image classification and TensorFlow 2+.