An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
☆143Jan 14, 2026Updated 8 months ago
Alternatives and similar repositories for zennit-crp
Users that are interested in zennit-crp 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.☆249May 13, 2026Updated 4 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
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆16Jan 16, 2024Updated 2 years ago
- Mechanistic understanding and validation of large AI models with SemanticLens☆54Aug 23, 2026Updated 3 weeks ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆45Apr 17, 2024Updated 2 years 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.
- PyPI package for DualXDA for efficient data attribution and feature-level explanations of training data influence☆22Mar 6, 2026Updated 6 months ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆251Aug 11, 2026Updated last month
- [NeurIPS 2025 MechInterp Workshop - Spotlight] Official implementation of the paper "RelP: Faithful and Efficient Circuit Discovery in La…☆29Nov 3, 2025Updated 10 months ago
- [JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆674Sep 5, 2026Updated 2 weeks ago
- ☆14Jun 12, 2023Updated 3 years ago
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆31Apr 30, 2026Updated 4 months ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆21Jan 28, 2026Updated 7 months ago
- Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"☆39Dec 22, 2021Updated 4 years ago
- Explainable AI in Julia.☆118Jul 13, 2026Updated 2 months 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.
- ☆18Mar 9, 2023Updated 3 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 4 years ago
- An AI agent that collaborates with historians to extract structured datasets from primary sources, adapt to heterogeneous documents, and …☆109Jul 29, 2026Updated last month
- Explaining the unique nature of individual gait patterns with deep learning☆28Jan 18, 2021Updated 5 years ago
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆16Sep 20, 2024Updated 2 years ago
- Dataset and code for the CLEVR-XAI dataset.☆34Oct 3, 2023Updated 2 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆38Jul 24, 2022Updated 4 years ago
- LENS Project☆53Feb 22, 2024Updated 2 years ago
- Code for the paper "Explain Any Concept: Segment Anything Meets Concept-Based Explanation". Poster @ NeurIPS 2023☆46Dec 4, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆20Jul 25, 2022Updated 4 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Jul 15, 2020Updated 6 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆35Mar 17, 2025Updated last year
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆19Apr 19, 2023Updated 3 years ago
- Official PyTorch implementation of improved B-cos models☆61Dec 25, 2025Updated 8 months 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
- This repository contains code for explaining prototypes learned by ProtoPNet, by quantifying the influence of color hue, shape, texture, …☆17Mar 31, 2021Updated 5 years ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆45Oct 27, 2023Updated 2 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Feb 19, 2021Updated 5 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.
- 🔬 Interpretability for Leela Chess Zero networks.☆22Sep 3, 2026Updated 2 weeks ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆66Feb 14, 2022Updated 4 years ago
- Prototyping about eXplainable Artificial Inteligence (XAI)☆25Jan 5, 2023Updated 3 years ago
- ☆41Oct 15, 2025Updated 11 months ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Jun 24, 2022Updated 4 years ago
- Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography im…☆11Mar 31, 2023Updated 3 years ago
- Additional selection tools for Annotorious and the Annotorious OpenSeadragon plugin☆15Jul 21, 2024Updated 2 years ago