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 3 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!☆1,305Apr 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Feb 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 3 weeks ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆237Jul 11, 2025Updated 10 months ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆104Nov 2, 2022Updated 3 years ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Jan 16, 2024Updated 2 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆995Mar 20, 2024Updated 2 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆345Aug 22, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Prototyping about eXplainable Artificial Inteligence (XAI)☆26Jan 5, 2023Updated 3 years ago
- ☆18Jun 10, 2020Updated 6 years ago
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆29Nov 3, 2025Updated 7 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,140Jul 25, 2024Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆34Oct 3, 2023Updated 2 years ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆41Jan 9, 2023Updated 3 years ago
- Interpreting CNN Knowledge via an Explanatory Graph☆71Oct 25, 2020Updated 5 years ago
- 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
- 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.
- Code for the TCAV ML interpretability project☆653May 5, 2026Updated last month
- 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 3 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆44Apr 17, 2024Updated 2 years ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆67Feb 14, 2022Updated 4 years ago
- Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.☆453Aug 25, 2018Updated 7 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Jul 24, 2022Updated 3 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆650Feb 23, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Feb 27, 2020Updated 6 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆855May 31, 2022Updated 4 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆62Jul 1, 2019Updated 6 years ago
- DeepCrime - Mutation Testing Tool for Deep Learning Systems☆15Sep 23, 2023Updated 2 years ago
- Pruning CNN using CNN with toy example☆23Jun 21, 2021Updated 4 years ago
- Introduction to Social Data Science 2024 - a summer school course https://isdsucph.github.io/isds2024/☆12Aug 16, 2024Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆227Jun 28, 2022Updated 3 years ago