Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
☆231Jul 11, 2025Updated 9 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.☆243Jan 30, 2026Updated 2 months ago
- 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
- 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
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆142Jan 14, 2026Updated 3 months ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆67Feb 14, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆19Jan 28, 2026Updated 2 months 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
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Feb 20, 2026Updated last month
- DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.☆25Updated this week
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20May 29, 2024Updated last year
- Explainable AI in Julia.☆116Mar 30, 2026Updated 2 weeks ago
- ☆16Jun 4, 2025Updated 10 months ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 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.☆58Apr 12, 2026Updated last week
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Nov 2, 2022Updated 3 years ago
- 🔬 Interpretability for Leela Chess Zero networks.☆19Mar 17, 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
- RAG Hallucination Detecting By LRP.☆11Mar 31, 2025Updated last year
- 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)☆25Jan 17, 2026Updated 3 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆336Jun 13, 2022Updated 3 years ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆352Jul 23, 2025Updated 8 months ago
- 🪄 Interpreto is an interpretability toolbox for LLMs☆166Updated this week
- Prototyping about eXplainable Artificial Inteligence (XAI)☆26Jan 5, 2023Updated 3 years ago
- 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" 🐍☆46Nov 6, 2024Updated last year
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆31Aug 6, 2025Updated 8 months ago
- explainable Siamese sentence transformers☆13Mar 26, 2024Updated 2 years ago
- ☆32Apr 8, 2026Updated last week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Basic LRP implementation in PyTorch☆174Jul 25, 2024Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆33Oct 3, 2023Updated 2 years ago
- LENS Project☆52Feb 22, 2024Updated 2 years ago
- Explaining ML models using LLMs☆24Oct 21, 2024Updated last year
- ☆14Nov 3, 2025Updated 5 months ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆29Dec 19, 2023Updated 2 years ago
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆29Nov 30, 2022Updated 3 years ago