iml topic
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
diabetes_use_case
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
DALEX
moDel Agnostic Language for Exploration and eXplanation
interpret
Fit interpretable models. Explain blackbox machine learning.
mli-resources
H2O.ai Machine Learning Interpretability Resources
modelStudio
📍 Interactive Studio for Explanatory Model Analysis
adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
shapFlex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model