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Repository with code and slides for a tutorial on causal inference.
A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying causal effect.
An easy, unified way to crawl and analyze data from social networking websites.
Forked from interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
Plan events with your friends.
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