Explainable AI framework for data scientists. Explain & debug any blackb...
📍 Interactive Studio for Explanatory Model Analysis
💡 Adversarial attacks on explanations and how to defend them
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfac...
📦 PyTorch based visualization package for generating layer-wise explana...
The official implementation of "The Shapley Value of Classifiers in Ense...
Explaining the output of machine learning models with more accurately es...
Causal Explanation (CXPlain) is a method for explaining the predictions ...
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explainin...
Package towards building Explainable Forecasting and Nowcasting Models w...
Fast approximate Shapley values in R
All about explainable AI, algorithmic fairness and more
ACV is a python library that provides explanations for any machine learn...
Amazon SageMaker Solution for explaining credit decisions.
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted ...