A game theoretic approach to explain the output of any machine learning ...
A curated list of awesome open source libraries to deploy, monitor, vers...
Fit interpretable models. Explain blackbox machine learning.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretabi...
XAI - An eXplainability toolbox for machine learning
Power Tools for AI Engineers With Deadlines
Visualization toolkit for neural networks in PyTorch! Demo -->
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-...
Making decision trees competitive with neural networks on CIFAR10, CIFAR...
Papers about explainability of GNNs
Official implementation of Score-CAM in PyTorch
Explainable AI framework for data scientists. Explain & debug any blackb...
📍 Interactive Studio for Explanatory Model Analysis
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabula...
💡 Adversarial attacks on explanations and how to defend them