Tensorflow tutorial for various Deep Neural Network visualization techniques

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

Pytorch implementation of various neural network interpretability methods

Explainable AI in Julia.

An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.

A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

使用LSTM及股票因子数据预测未来收益，使用LRP(layer-wise relevance propagation)增强网络可解释性

[ECCV 2022: Oral] In this work, we discover that color is a crtical transferable forensic feature (T-FF) in universal detectors for detecting CNN-generated images.

Using Explainable Artificial Intelligence (XAI) for sentiment analysis (NLP)

A library that helps to explain AI models in a really quick & easy way

Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

We predict religion from personal names only.

Implementation of explainability algorithms (layer-wise relevance propagation, local interpretable model-agnostic explanations, gradient-weighted class activation mapping) on computer vision architectures to identify and explain regions of COVID 19 pneumonia in chest X-ray and CT scans.

Transfer Explainability via Layer-Wise Relevance Propagation Demo for AAAI

Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.

Cyber Security AI Dashboard

Repository for the 'best student paper award' winning paper at the IEEE 35th International Symposium on Computer Based Medical Systems (CBMS 2022), Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography, Mahbub Ul Alam, Jón Rúnar Baldvinsson and Yuxia Wang. https://doi.org/10.11…