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:
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆131Updated last year
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆96Updated 2 years ago
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…☆28Updated 7 months ago
- ☆16Updated last week
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆11Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆214Updated 3 years ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Updated last month
- 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☆37Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆229Updated last week
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Updated last year
- A toolkit for quantitative evaluation of data attribution methods.☆53Updated 3 weeks ago
- Pytorch implementation of various neural network interpretability methods☆118Updated 3 years ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- ☆34Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆177Updated last month
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆14Updated 10 months ago
- ☆10Updated 4 months ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆109Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆33Updated 9 months ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆68Updated 2 years ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated last week
- Anomaly Detector for ALeRCE broker 🤖☆11Updated last year
- XAI Experiments on an Annotated Dataset of Wild Bee Images☆19Updated 7 months ago
- ☆20Updated 5 years ago
- Basic LRP implementation in PyTorch☆171Updated last year