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
Alternatives and similar repositories for zennit
Users that are interested in zennit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆32Apr 30, 2026Updated last month
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆144Jan 14, 2026Updated 4 months ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆237Jul 11, 2025Updated 10 months ago
- 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
- 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Python package for extracting representations from state-of-the-art computer vision models☆177Nov 12, 2025Updated 6 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Jan 16, 2024Updated 2 years 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
- A toolbox to iNNvestigate neural networks' predictions!☆1,305Apr 11, 2025Updated last year
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Feb 19, 2021Updated 5 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆44Apr 17, 2024Updated 2 years ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆665May 4, 2026Updated last month
- ☆14Jun 12, 2023Updated 2 years ago
- PyTorch implementations of Self-Supervised Learning Method☆13Feb 9, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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
- 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
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 3 years ago
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆15Sep 20, 2024Updated last year
- sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model☆167Jun 13, 2025Updated 11 months ago
- ☆17Jun 3, 2026Updated last week
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍☆47Nov 6, 2024Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆34Oct 3, 2023Updated 2 years ago
- LENS Project☆52Feb 22, 2024Updated 2 years ago
- 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.
- 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
- ☆34Jan 3, 2023Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆104Nov 2, 2022Updated 3 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Jul 24, 2022Updated 3 years ago
- Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent☆12Dec 18, 2020Updated 5 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 5 years ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆41Jan 9, 2023Updated 3 years ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆67Feb 14, 2022Updated 4 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆17Apr 8, 2024Updated 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.
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆20Jan 28, 2026Updated 4 months ago
- Official PyTorch implementation of improved B-cos models☆60Dec 25, 2025Updated 5 months ago
- Demonstration of the NEON approach for explainable clustering.☆11Mar 17, 2022Updated 4 years ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆366Jul 23, 2025Updated 10 months ago
- A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.☆10Jul 28, 2023Updated 2 years ago
- Official code for Generative Fractional Diffusion Models☆18Jan 16, 2025Updated last year
- A toolkit for quantitative evaluation of data attribution methods.☆60May 11, 2026Updated 3 weeks ago