Reliable Machine Learning

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DiCE: A library for generating Diverse Counterfactual Explanations 

2021年11月

DiCE is a Python library that can generate counterfactual explanations for any machine learning classifier. Counterfactual explanations present “what-if” perturbations of the input such that an ML classifier outputs a different class for those perturbations than the original predicted class.…

Github 为 DiCE: A library for generating Diverse Counterfactual Explanations

DoWhy: A library for causal inference 

2021年5月

As computing systems are more frequently and more actively intervening in societally critical domains such as healthcare, education and governance, it is critical to correctly predict and understand the causal effects of these interventions. Without an A/B test, conventional machine…

Github 为 DoWhy: A library for causal inference