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
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…☆30Updated 11 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆139Updated last year
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Updated 5 months ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Updated 4 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆225Updated 3 years ago
- Dataset and code for the CLEVR-XAI dataset.☆33Updated 2 years ago
- Implementing LRP (Layer-wise Relevance Propagation) for a sequence-to-sequence model with GRU layers.☆12Updated 2 years ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 4 months ago
- XAI Experiments on an Annotated Dataset of Wild Bee Images☆19Updated 3 months ago
- PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)☆74Updated last year
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆24Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…☆25Updated 4 months ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆99Updated last year
- Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.☆15Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆54Updated 5 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆162Updated 3 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆73Updated 2 years ago
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆14Updated last year
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 4 years ago
- ☆20Updated 5 years ago
- ☆18Updated 2 years ago
- Basic LRP implementation in PyTorch☆173Updated last year