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Name: Juan Felipe Riaño
Type: User
Company: Georgetown University
Bio: Assistant Professor of Economics at Georgetown
Twitter: JuanFelipeRiano
Location: Washington DC
Name: Juan Felipe Riaño
Type: User
Company: Georgetown University
Bio: Assistant Professor of Economics at Georgetown
Twitter: JuanFelipeRiano
Location: Washington DC
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
PhD Applied Econometrics class taught at UC Berkeley
A curated list of awesome network analysis resources.
🕸️ discovery tool for legally restricted or censored HTTP resources (code 451 / RFC7725)
Create matplotlib plots with broken axes
GIS boundaries in GeoJSON format for all US Congressional Districts, 1789 to 2012
Event studies: robust and efficient estimation, testing, and plotting
python implementation of Peng Ding's "First Course in Causal Inference" https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZX3VEV
BibTeX style file for economics.
Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam
This is the repository for the slides used in the Seattle University Econometrics course
Información y algo de análisis sobre las elecciones presidenciales de Colombia en 2018
Elecciones Colombianas 2018
Materials for Empirical Methods for Applied Microeconomics PhD course.
Empirical Methods & Machine Learning
Software and data to aid in the analysis of gerrymandering, using tests by Sam Wang (2016), Stanford Law Review
A Study of Gerrymandering
A tool to create application packets for the academic economics job market
This is a 2nd Year PhD Course In Micro-econometrics
Jupyter notebooks authored by Richard Evans
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Raspberry Pi Kubernetes cluster that runs HA/HP Drupal 8
RStudio for Raspberry Pi - Docker Build and Runtime Environment
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
Current and Historical Lists of S&P 500 components since 1996
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.