rodrigobdz / lrpLinks
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
☆16Updated 3 years ago
Alternatives and similar repositories for lrp
Users that are interested in lrp are comparing it to the libraries listed below
Sorting:
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆131Updated last year
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆96Updated 2 years ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆217Updated 3 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆233Updated last month
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…☆29Updated 8 months ago
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆11Updated 2 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Updated 4 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆189Updated 2 months ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Updated 2 months ago
- A toolkit for quantitative evaluation of data attribution methods.☆53Updated 2 months ago
- Pytorch implementation of various neural network interpretability methods☆118Updated 3 years ago
- XAI Experiments on an Annotated Dataset of Wild Bee Images☆19Updated 3 weeks ago
- Mechanistic understanding and validation of large AI models with SemanticLens☆34Updated this week
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆14Updated last year
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆65Updated 3 years ago
- PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)☆71Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆32Updated last year
- ☆35Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- ☆122Updated 3 years ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆18Updated 3 months ago
- Basic LRP implementation in PyTorch☆171Updated last year
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆112Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated 11 months ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated last month