The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
☆335Jun 13, 2022Updated 4 years ago
Alternatives and similar repositories for lrp_toolbox
Users that are interested in lrp_toolbox are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆100Mar 29, 2018Updated 8 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆225Apr 24, 2020Updated 6 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,306Apr 11, 2025Updated last year
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆72Jan 22, 2017Updated 9 years ago
- Basic LRP implementation in PyTorch☆175Jul 25, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Feb 19, 2021Updated 5 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆760Aug 25, 2020Updated 5 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆97Aug 21, 2018Updated 7 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆246May 13, 2026Updated last month
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Apr 10, 2019Updated 7 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆997Mar 20, 2024Updated 2 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆343Aug 22, 2020Updated 5 years ago
- Prototyping about eXplainable Artificial Inteligence (XAI)☆25Jan 5, 2023Updated 3 years ago
- ☆18Jun 10, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆29Nov 3, 2025Updated 7 months ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆29May 2, 2019Updated 7 years ago
- Lime: Explaining the predictions of any machine learning classifier☆12,143Jul 25, 2024Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Dec 8, 2022Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,661Jun 23, 2026Updated last week
- ☆19Jun 15, 2020Updated 6 years ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆41Jan 9, 2023Updated 3 years ago
- Interpretability and explainability of data and machine learning models☆1,781May 22, 2026Updated last month
- Interpreting CNN Knowledge via an Explanatory Graph☆71Oct 25, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,038Jun 3, 2024Updated 2 years ago
- Pytorch implementation of various neural network interpretability methods☆119Mar 8, 2022Updated 4 years ago
- Code for the TCAV ML interpretability project☆653May 5, 2026Updated last month
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…☆30Jan 6, 2025Updated last year
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆96Feb 1, 2024Updated 2 years ago
- ☆35Jan 20, 2017Updated 9 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆44Apr 17, 2024Updated 2 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆453Aug 25, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- reference implementation for "explanations can be manipulated and geometry is to blame"☆38Jul 24, 2022Updated 3 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆651Feb 23, 2022Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Feb 27, 2020Updated 6 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆666May 4, 2026Updated last month
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆856May 31, 2022Updated 4 years ago
- The official repository containing the source code to the explAIner publication.☆32Apr 29, 2024Updated 2 years ago
- DeepCrime - Mutation Testing Tool for Deep Learning Systems☆14Sep 23, 2023Updated 2 years ago