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A curated list of causal inference libraries, resources, and applications.
Course site for Computing for the Social Sciences (MACS-30500)
Data Science Course in a Box
ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2021)
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Ed Rubin
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Edward Rubin
Causally oriented doctoral econometrics course at UO, taught by Ed Rubin
Lecture material for Big Data in Economics (EC 410/510)
Machine Learning and Causal Inference taught by Brigham Frandsen
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
This is a remix of the Machine-Learning-in-R workshop. This version of the workshop focuses on the tidymodels framework and its applications.
Shared resources for Econ Research Assistants working in R
Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman
UnderstandingDeepLearing中文翻译
Website and materials for tidymodels workshops
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.