jvielhaben / MCD-XAI
☆11Updated last year
Alternatives and similar repositories for MCD-XAI:
Users that are interested in MCD-XAI are comparing it to the libraries listed below
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆214Updated 8 months ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆124Updated 9 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆34Updated 11 months ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 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
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆25Updated last year
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆135Updated 4 years ago
- CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.☆27Updated 2 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 3 years ago
- A benchmark for distribution shift in tabular data☆50Updated 9 months ago
- ViRelAy is a visualization tool for the analysis of data as generated by CoRelAy.☆27Updated 3 months ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆89Updated 2 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 2 years ago
- CoSy: Evaluating Textual Explanations☆14Updated 2 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- ☆44Updated 2 years ago
- bayesian lime☆17Updated 7 months ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 2 years ago
- ☆21Updated 2 years ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆13Updated last month
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆74Updated 10 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆62Updated last year
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆32Updated 3 years ago
- ☆16Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆135Updated last year
- Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).☆36Updated last year
- CME: Concept-based Model Extraction☆12Updated 4 years ago
- Local explanations with uncertainty 💐!☆39Updated last year