chr5tphr / zennitView external linksLinks
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
☆239Jan 30, 2026Updated 2 weeks ago
Alternatives and similar repositories for zennit
Users that are interested in zennit are comparing it to the libraries listed below
Sorting:
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆29Aug 6, 2025Updated 6 months ago
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆29Jul 21, 2025Updated 6 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆140Jan 14, 2026Updated last month
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆219Jul 11, 2025Updated 7 months ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆16Aug 7, 2022Updated 3 years ago
- Explainable AI in Julia.☆116Dec 16, 2025Updated last month
- 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
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Feb 19, 2021Updated 4 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,306Apr 11, 2025Updated 10 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
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Jan 16, 2024Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Apr 17, 2024Updated last year
- ☆12Jun 12, 2023Updated 2 years ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Jan 5, 2026Updated last month
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆25Nov 3, 2025Updated 3 months ago
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Sep 8, 2023Updated 2 years ago
- Dataset and code for the CLEVR-XAI dataset.☆33Oct 3, 2023Updated 2 years ago
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆26Mar 7, 2024Updated last year
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 3 years ago
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20May 29, 2024Updated last year
- [NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍☆45Nov 6, 2024Updated last year
- Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent☆12Dec 18, 2020Updated 5 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Nov 2, 2022Updated 3 years ago
- ☆15Jun 4, 2025Updated 8 months ago
- ☆34Jan 3, 2023Updated 3 years ago
- Layer-wise Relevance Propagation (LRP) for LSTMs.☆226Apr 24, 2020Updated 5 years ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆40Jan 9, 2023Updated 3 years ago
- Demonstration of the NEON approach for explainable clustering.☆11Mar 17, 2022Updated 3 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 5 years ago
- LENS Project☆51Feb 22, 2024Updated last year
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Jul 24, 2022Updated 3 years ago
- ☆13Dec 4, 2023Updated 2 years ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆19Jan 28, 2026Updated 2 weeks ago
- This repository contains codes to explain One-Dimensional Convolutional Neural Networks (1D-CNN) using Layer-wise Relevance Propagation.☆13Aug 24, 2021Updated 4 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆17Apr 8, 2024Updated last year
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Mar 22, 2021Updated 4 years ago
- Interactive scalable auditing of model biases and vulnerabilities with interpretable mitigation☆27Apr 26, 2022Updated 3 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆226Jun 28, 2022Updated 3 years ago
- PyTorch implementation of SmoothTaylor☆15Sep 5, 2021Updated 4 years ago