Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

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

PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

SIDU: SImilarity Difference and Uniqueness method for explainable AI

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

Classifying birds into 75 species using a CNN transfer-learning model

Final Year Project Try-Out Codes

Explainable AI for Image Classification

StellarGraph - Machine Learning on Graphs

Predict areas of high visual importance

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

This repo contains dataset and models for city classification

CELS: Counterfactual Explanation for Time Series Data via Learned Saliency Maps (2023 Big data)

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

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

Implementation of a DenseNet model and observation of the gradients with different types of saliency maps

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.

This repository contains the code for the XAIInferencerEngine PyPi library.