kaifishr / PyTorchRelevancePropagationLinks
A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
☆96Updated 2 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).☆138Updated 4 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆130Updated last year
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆230Updated 3 weeks ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆215Updated 3 years ago
- Pytorch implementation of various neural network interpretability methods☆118Updated 3 years ago
- Basic LRP implementation in PyTorch☆171Updated last year
- ☆121Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆372Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆82Updated last year
- Official Pytorch implementation of "Generalized Supervised Contrastive Learning Framework"☆12Updated 3 years ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆57Updated 5 years ago
- The official code of Relevance-CAM☆45Updated last year
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- A pytorch implementation of interpretable convolutional neural network.☆67Updated 4 years ago
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆25Updated last year
- ☆39Updated last year
- ☆247Updated 3 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆66Updated 2 weeks 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
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆33Updated 10 months ago
- Concept Bottleneck Models, ICML 2020☆210Updated 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☆155Updated 3 years ago
- Compare neural networks by their feature similarity☆370Updated 2 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆104Updated 3 years ago