kaifishr / PyTorchRelevancePropagation
A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
☆89Updated 2 years ago
Alternatives and similar repositories for PyTorchRelevancePropagation:
Users that are interested in PyTorchRelevancePropagation are comparing it to the libraries listed below
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆135Updated 4 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆124Updated 9 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆217Updated 8 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆204Updated 2 years ago
- Basic LRP implementation in PyTorch☆167Updated 8 months ago
- Pytorch implementation of various neural network interpretability methods☆116Updated 3 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated 11 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆25Updated last year
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆14Updated last year
- ☆31Updated 8 months ago
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆99Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆136Updated last year
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆15Updated 2 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆32Updated 3 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆62Updated last year
- CoSy: Evaluating Textual Explanations☆16Updated 2 months ago
- ☆120Updated 3 years ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Updated last year
- Code for Diff-SCM paper☆94Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆74Updated 10 months ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 2 years ago
- ☆236Updated 3 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆62Updated last year
- ☆39Updated 10 months ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation☆63Updated 3 years ago
- A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept dat…☆91Updated 11 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆59Updated this week