Pinned

1. interpretable-ml-book interpretable-ml-book Public

   Forked from christophM/interpretable-ml-book

   Book about interpretable machine learning

   Jupyter Notebook

2. awesome-machine-learning-interpretability awesome-machine-learning-interpretability Public

   Forked from jphall663/awesome-machine-learning-interpretability

   A curated list of awesome machine learning interpretability resources.

3. lime lime Public

   Forked from marcotcr/lime

   Lime: Explaining the predictions of any machine learning classifier

   JavaScript

4. saliency saliency Public

   Forked from PAIR-code/saliency

   Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

   Jupyter Notebook

5. shap shap Public

   Forked from shap/shap

   A game theoretic approach to explain the output of any machine learning model.

   Jupyter Notebook

6. treeinterpreter treeinterpreter Public

   Forked from andosa/treeinterpreter

   Python