kaifishr / PyTorchRelevancePropagationLinks
A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
☆102Updated 3 years ago
Alternatives and similar repositories for PyTorchRelevancePropagation
Users that are interested in PyTorchRelevancePropagation are comparing it to the libraries listed below
Sorting:
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Updated 4 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆239Updated 4 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆139Updated last year
- Basic LRP implementation in PyTorch☆173Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆225Updated 3 years ago
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- ☆122Updated 3 years ago
- Concept Bottleneck Models, ICML 2020☆234Updated 2 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆383Updated 3 years ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆24Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆145Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆71Updated 2 months ago
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆25Updated last year
- The official code of Relevance-CAM☆45Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆89Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆503Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 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
- Reliability diagrams visualize whether a classifier model needs calibration☆163Updated 3 years ago
- Dataset and code for the CLEVR-XAI dataset.☆33Updated 2 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- ☆262Updated 4 years ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- A pytorch implementation of interpretable convolutional neural network.☆70Updated 4 years ago
- ☆43Updated last year
- [ECCV24] Layer-Wise Relevance Propagation with Conservation Property for ResNet☆14Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆213Updated 5 months ago
- Official Pytorch implementation of "Generalized Supervised Contrastive Learning Framework"☆12Updated 3 years ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆16Updated 3 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year