explainability topic
ALPS_2021
XAI Tutorial for the Explainable AI track in the ALPS winter school 2021
sagemaker-explaining-credit-decisions
Amazon SageMaker Solution for explaining credit decisions.
timeshap
TimeSHAP explains Recurrent Neural Network predictions.
zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
fat-forensics
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
acv00
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based mode...
RobustViT
[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to e...
removal-explanations
A lightweight implementation of removal-based explanations for ML models.
CARP
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation....