Li Zheng's repositories
Computational-Economics
Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
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.
free-programming-books
:books: Freely available programming books
Machine-Learning-in-Econometrics
Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"
machine_learning_economics
Machine Learning for Economics
ml4econ-course-blogdown
Machine Learning for Economists Course
QuantEcon.py
A community based Python library for quantitative economics
tensorflow
An Open Source Machine Learning Framework for Everyone