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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Data and code behind the Economist's Graphic Detail section.
Material for the Python for R Users workshop
Hypothesizing interpretable relationships in text datasets using sparse autoencoders.
Data and code used in Yarkoni (2019) -- "The Generalizability Crisis"