Sensitivity Analysis for Understanding Complex Computational Models

Deep Learning + XAI

This repository contains code, information and datasets for the project on making interpretable models titled "Model Agnostic Methods for Interpretable Machine Learning". The abstract can be accessed at https://docs.google.com/document/d/1k2-beHD4YQxXpH8ExUM2Gd-yE5VqdluhiCsUIO3czRM/edit?usp=sharing

This tool can be used to find the most influential words on a document. We define most influential as the words that influence a trained classifier the most to give it a particular classification.

This repository is being maintained by https://github.com/MohammadYousufHussain

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

Optimizing Mind static website v1

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

A generalized gradient-based CNN visualization technique

Visualizing how deep networks make decisions

A CUDA implementation of the Tsetlin Machine based on bitwise operators

AIC XAI 문제 1번 2팀 레파지토리

Explanations in Multi-Model Planning

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

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

List of papers in the area of Explainable Artificial Intelligence Year wise

A curated list of awesome contrastive explanation in ML resources

Geometry shapes discoverer algorithm based on Explainable AI(xAI)

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.