moDel Agnostic Language for Exploration and eXplanation

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )

A generalized gradient-based CNN visualization technique

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

An Open-Source Library for the interpretability of time series classifiers

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

TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

All about explainable AI, algorithmic fairness and more

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.

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

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"

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

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

Visualizing how deep networks make decisions

Model verification, validation, and error analysis

Deep Insight And Neural Network Analysis

An explainable water quality classification model

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images