Basic LRP implementation in PyTorch
☆174Jul 25, 2024Updated last year
Alternatives and similar repositories for Pytorch-LRP
Users that are interested in Pytorch-LRP are comparing it to the libraries listed below
Sorting:
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Feb 19, 2021Updated 5 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Jun 13, 2022Updated 3 years ago
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆26Mar 7, 2024Updated last year
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆226Apr 24, 2020Updated 5 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,307Apr 11, 2025Updated 10 months ago
- ☆14Dec 5, 2020Updated 5 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 3 years ago
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆13Apr 8, 2023Updated 2 years ago
- ☆34Jan 3, 2023Updated 3 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Aug 21, 2018Updated 7 years ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆40Jan 9, 2023Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Feb 27, 2020Updated 6 years ago
- Interactive visualization of 3D CNN relevance maps☆17Sep 4, 2025Updated 5 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆241Jan 30, 2026Updated last month
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 2 years ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆222Jul 11, 2025Updated 7 months ago
- Framework for the reproducible classification of Alzheimer's disease using machine learning☆42May 31, 2022Updated 3 years ago
- ☆27Nov 22, 2022Updated 3 years ago
- Machine learning methods for spatially resolved transcriptomics with histology images: a collection of related resources.☆10Mar 22, 2022Updated 3 years ago
- Trained models for use with QuPath☆16Aug 7, 2021Updated 4 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Jul 13, 2020Updated 5 years ago
- Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propag…☆10Feb 7, 2022Updated 4 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Jun 2, 2021Updated 4 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆79Mar 18, 2020Updated 5 years ago
- Using machine learning techniques to predict the onset of Alzheimer's disease for participants in the ADNI study☆32Jun 16, 2021Updated 4 years ago
- ☆18Oct 6, 2024Updated last year
- CS 230 Final project. Owned by Soham Gadgil, Sun Woo Kang, and Erick Siavichay-Velasco☆12Sep 30, 2022Updated 3 years ago
- Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"☆30Aug 17, 2023Updated 2 years ago
- ☆31Mar 30, 2024Updated last year
- Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper☆159Jun 20, 2017Updated 8 years ago
- Triton Server Component for lightning.ai☆14Feb 15, 2023Updated 3 years ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆16Aug 7, 2022Updated 3 years ago
- Development and validation of an interpretable deep learning framework for Alzheimer's disease classification☆176Jul 11, 2023Updated 2 years ago
- Official Pytorch Implementation for y-Aware Contrastive Learning☆60Oct 6, 2023Updated 2 years ago
- This is the R implementation of a robust correlation matrix estimator usefull in case of high-dimensional data to remove the bias. It al…☆14Mar 10, 2019Updated 6 years ago
- SCRAT: Single-Cell Regulome Analysis Tool☆15Apr 4, 2020Updated 5 years ago
- [ACL 20] Probing Linguistic Features of Sentence-level Representations in Neural Relation Extraction☆13Apr 21, 2020Updated 5 years ago
- EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network☆14Apr 12, 2023Updated 2 years ago
- This repository houses the official implementation of Multiple Instance NeuroImage Transformer (MINiT) paper, accepted at PRedictive Inte…☆16Aug 23, 2022Updated 3 years ago