There are 29 repositories under explainable-artificial-intelligence topic.
moDel Agnostic Language for Exploration and eXplanation
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
A generalized gradient-based CNN visualization technique
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
All about explainable AI, algorithmic fairness and more
TalkToModel gives anyone with the powers of XAI through natural language conversations đź’¬!
An Open-Source Library for the interpretability of time series classifiers
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
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.
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
Visualizing how deep networks make decisions
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Model verification, validation, and error analysis
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
This is a list of awesome prototype-based papers for explainable artificial intelligence.
SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments
A CUDA implementation of the Tsetlin Machine based on bitwise operators
Explainable AI for Software Engineering: A Hands-on Guide on How to Make Software Analytics More Practical, Explainable, and Actionable (https://xai4se.github.io)
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Interactive XAI dashboard
Automated Transparent Genetic Feature Engineering
Explainable Artificial Intelligence through Contextual Importance and Utility
Cross-field empirical trends analysis of XAI literature
Local interpretability for survival models
Variable importance via oscillations
Concept activation vectors for Keras