Emy's repositories
bert
TensorFlow code and pre-trained models for BERT
course-v3
The 3rd edition of course.fast.ai
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Introduction-to-NLP
Lectures for Udemy - INLP
JuliaBoxTutorials
Learn and Run Julia in your Browser
mnk-figures
figure production code for manuscripts
nyu-econ-370
Quantitative Economics with Python Course (NYU) Spring 2016