InterpretFit interpretable models. Explain blackbox machine learning.
diabetes use caseSample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
ml-fairness-frameworkFairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
fastshapFast approximate Shapley values in R
ProtoTreeProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
ShapML.jlA Julia package for interpretable machine learning with stochastic Shapley values
interpretable-mlTechniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
mllpThe code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
xai-iml-sotaInteresting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Awesome-XAI-EvaluationReference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
XAIatERUM2020Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020