CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

**CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox**<br> ceml is a Python toolbox for computing counterfactuals. Counterfactuals can be used to explain the predictions of machine learning models. It supports many common machine learning frameworks: - scikit-learn - PyTorch - Keras - Tensorflow Furthermore, ceml is easy to use and can be extended very easily. See the documentation and user guide for more information on how to use and extend ceml.