pvillaparo's Stars
shuo-zhang-ucsb/twowayfeweights
Estimates the weights and the measure of robustness to treatment effect heterogeneity attached to the two-way fixed effects regressions studied in Chaisemartin & D'Haultfoeuille (2018).
ebenmichael/augsynth
Augmented Synthetic Control Method
yujunghwang/SeminarOrganizer
Functions to Automate Sending Emails to Announce a Seminar Schedule
Layout-Parser/layout-parser
A Unified Toolkit for Deep Learning Based Document Image Analysis
hmfaysal/hmfaysal-omega-theme
HMFAYSAL OMEGA is a minimalist, beautiful, responsive theme for Jekyll designed for writers who want their content to take front and center.
wowthemesnet/affiliates-jekyll-theme
Affiliates - Jekyll Blogging Theme for Affiliate Marketers
arnp/herring-cove
Herring Cove is a clean and responsive theme for Jekyll.
jpallen/latex-chroot
A complete Texlive LaTeX environment which can be run in a chroot jail
dmsul/econtools
Econometrics and data manipulation functions.
sergiocorreia/reghdfe
Linear, IV and GMM Regressions With Any Number of Fixed Effects
worldbank/ietoolkit
Stata commands designed for Impact Evaluations in particular, but also data work in general
vikjam/mostly-harmless-replication
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
paulgp/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
dlab-berkeley/Geospatial-Fundamentals-in-QGIS
dlab-berkeley/Machine-Learning-in-R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
dlab-berkeley/R-Deep-Learning
Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
dlab-berkeley/Python-Fundamentals-Legacy
D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.
dlab-berkeley/R-Fundamentals-Legacy
D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
dlab-berkeley/R-for-Data-Science
D-Lab R-intensive teaching materials
rochelleterman/PS239T
Introduction to Computational Tools and Techniques for Social Research
rochelleterman/polisci150b
Machine Learning for Social Science
rochelleterman/FSUtext
Introduction to Computational Text Analysis for Florida State University Summer Methods Workshop
snunnari/otree_centipede
oTree App for Centipede Game
johnwoodill/Rcode-handbook-on-impact-eval-world-bank
R Code for World Bank Handbook on Impact Evaluation
rstudio/blogdown
Create Blogs and Websites with R Markdown
ismayc/thesisdown
An updated R Markdown thesis template using the bookdown package
gnab/remark
A simple, in-browser, markdown-driven slideshow tool.
grantmcdermott/R-intro
Introduction to R
mdroste/stata-pylearn
Supervised learning algorithms in Stata
jkitchin/jmax
Johns customizations to maximize emacs