Pinned Repositories
doubleml-docs
Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
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.
FixRes
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
gzhelev2020.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
jupyter-presentation-template
Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js
nih-chest-x-ray
Password-protection-for-static-pages
Password protection for static pages
pixiedust-demo
Slides and demo code
Solutions-to-How-to-Think-Like-a-Computer-Scientist-Learning-with-Python-3
I work the problems at the end of the chapters and post them here.
Text-Analysis-for-Social-Sciences-in-Python
Course repository for lecture slides, supplementary materials, articles and data sources (Winter Semester 21/22 @ Universität Hamburg, MSc in Economics)
gzhelev2020's Repositories
gzhelev2020/doubleml-docs
Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
gzhelev2020/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.
gzhelev2020/FixRes
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
gzhelev2020/gzhelev2020.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
gzhelev2020/jupyter-presentation-template
Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js
gzhelev2020/nih-chest-x-ray
gzhelev2020/Password-protection-for-static-pages
Password protection for static pages
gzhelev2020/pixiedust-demo
Slides and demo code
gzhelev2020/Solutions-to-How-to-Think-Like-a-Computer-Scientist-Learning-with-Python-3
I work the problems at the end of the chapters and post them here.
gzhelev2020/Text-Analysis-for-Social-Sciences-in-Python
Course repository for lecture slides, supplementary materials, articles and data sources (Winter Semester 21/22 @ Universität Hamburg, MSc in Economics)