Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
☆238Jul 11, 2025Updated 11 months ago
Alternatives and similar repositories for LRP-eXplains-Transformers
Users that are interested in LRP-eXplains-Transformers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆17Aug 7, 2022Updated 3 years ago
- Mechanistic understanding and validation of large AI models with SemanticLens☆54Dec 4, 2025Updated 6 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆144Jan 14, 2026Updated 5 months ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆67Feb 14, 2022Updated 4 years ago
- 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.
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Jan 17, 2024Updated 2 years ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Jan 16, 2024Updated 2 years ago
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆15Sep 20, 2024Updated last year
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆44Apr 17, 2024Updated 2 years ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆16Feb 20, 2026Updated 3 months ago
- DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.☆26May 13, 2026Updated last month
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20May 29, 2024Updated 2 years ago
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆60May 11, 2026Updated last month
- 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.
- 🔬 Interpretability for Leela Chess Zero networks.☆19Apr 29, 2026Updated last month
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆29Nov 3, 2025Updated 7 months ago
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆32Apr 30, 2026Updated last month
- Interpretability for sequence generation models 🐛 🔍☆467Apr 25, 2026Updated last month
- Pruning CNN using CNN with toy example☆23Jun 21, 2021Updated 4 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 3 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Feb 19, 2021Updated 5 years ago
- Interpreting CLIP with Hierarchical Sparse Autoencoders (ICML 2025)☆27Jan 17, 2026Updated 5 months ago
- 🪄 Interpreto is an interpretability toolbox for LLMs☆184Jun 12, 2026Updated last week
- 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.
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆27Mar 7, 2024Updated 2 years ago
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍☆47Nov 6, 2024Updated last year
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆31Apr 30, 2026Updated last month
- ☆33Apr 8, 2026Updated 2 months ago
- LENS Project☆52Feb 22, 2024Updated 2 years ago
- Dataset and code for the CLEVR-XAI dataset.☆34Oct 3, 2023Updated 2 years ago
- Explaining ML models using LLMs☆25Oct 21, 2024Updated last year
- ☆15Nov 3, 2025Updated 7 months ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆29Dec 19, 2023Updated 2 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.
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆29Nov 30, 2022Updated 3 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆17Apr 8, 2024Updated 2 years ago
- Learning to Estimate Shapley Values with Vision Transformers☆38Mar 4, 2026Updated 3 months ago
- Automated AI receptionist☆19May 1, 2024Updated 2 years ago
- ☆17Aug 30, 2023Updated 2 years ago
- Repository for the ICML 2021 paper: https://arxiv.org/abs/2103.04886☆13Jan 24, 2022Updated 4 years ago
- Mapping out the "memory" of neural nets with data attribution☆61Updated this week