Explainable AI tools for deciphering how neural networks. Includes saliency maps, confusion matrices, and feature representation examples.

Codes for the Point Cloud Analysis Project (IPL Lab, Sharif UT)

GASP: Gated Attention for Saliency Prediction (IJCAI-21)

This repo contains dataset and models for city classification

A new seam carving method

StellarGraph - Machine Learning on Graphs

Supplementary code and interactive UI for II-map. (https://arxiv.org/abs/2309.09702)

SIDU: SImilarity Difference and Uniqueness method for explainable AI

Computer Vision Final Project

A fork of the pysaliency repo which allows the number of samples pulled from the SALICON dataset to be limited. It was made to reduce the memory usage when training DeepGaze 3. Additionally, it fixes the `replace_initial_invalid_fixations` missing from the `get_mit1003_with_initial_fixation` function.

Machine Learning (2019 Spring)

Interpretable Deep Classification of Categorical Data

Modeling the impact of various pathological states on early primate visual attention mechanisms

a non-official python3 implementation of Itti and Koch's Salience map

SCSST (Saliency Clothes Segmentation and Style Transfer), Change style of your clothes on the fly!

Part of the experiments in "A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations"

Repository for benchmarking different post-hoc xai explanation methods on image datasets

Algorithms on GMM, Saliency Map

Sensor selection for process monitoring based on deciphering acoustic emissions from different dynamics of the Laser Powder Bed Fusion process using Empirical Mode Decompositions and Interpretable Machine Learning

Generate saliency maps for log scanned images