Bora Ozaltun's repositories
fossilfuelnetworkscience
Network dynamics and analysis of fossil fuel networks
ARE212_Materials
Teaching materials for ARE212.
BootCamp2019
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
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.
ethnicolr
Predict Race and Ethnicity Based on the Sequence of Characters in a Name
PM_COVID
Public Available Code and Data to Reproduce Analyses in "Exposure to air pollution and COVID-19 mortality in the United States".
ppremotesensing
Remote Sensing Power Plant Features
Sequence2Class
Simple sequence to class RNN
wos-amr
Utility scripts for using the Web of Science Links Article Match Retrieval Service (AMR) service.