lrp
Here are 31 public repositories matching this topic...
Language:All
Sort:Most stars
Tensorflow tutorial for various Deep Neural Network visualization techniques
- Updated
Aug 22, 2020 - Jupyter Notebook
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
- Updated
Jul 19, 2024 - Python
A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
- Updated
Feb 19, 2021 - Python
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
- Updated
Jun 12, 2024 - Jupyter Notebook
Pytorch implementation of various neural network interpretability methods
- Updated
Mar 8, 2022 - Jupyter Notebook
Explainable AI in Julia.
- Updated
Mar 17, 2025 - Julia
- Updated
Mar 29, 2018 - Python
A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
- Updated
Nov 2, 2022 - Python
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
- Updated
Feb 13, 2024 - Jupyter Notebook
Implementation or LRP and Object detection on Brain scans to detect Brain Tumor and Alzhimers
- Updated
Jan 9, 2025 - Jupyter Notebook
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
- Updated
Aug 7, 2022 - Python
Using Explainable Artificial Intelligence (XAI) for sentiment analysis (NLP)
- Updated
Mar 28, 2022 - Jupyter Notebook
[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.
- Updated
Jan 25, 2023 - Python
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
- Updated
Mar 3, 2025 - Jupyter Notebook
An XAI library that helps to explain AI models in a really quick & easy way
- Updated
Mar 8, 2024 - Python
Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.
- Updated
Aug 20, 2024 - Jupyter Notebook
Cyber Security AI Dashboard
- Updated
Mar 24, 2024 - Jupyter Notebook
We predict religion from personal names only.
- Updated
Sep 17, 2024 - Jupyter Notebook
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.
- Updated
May 31, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to thelrp topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thelrp topic, visit your repo's landing page and select "manage topics."