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Repo for Yale Applied Empirical Methods PHD Course
Code, data and other artifacts for Chuck's technical articles.
A curated collection of links for economists
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Repository for OSM Lab Boot Camp 2017
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSM Lab Boot Camp 2018
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
Causal Inference Mixtape Sessions
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Replication code and downloadable example data sets for The Effect
ECON 815: Computational Methods for Economists
ECON 833: Computational Methods for Economists
Event studies: robust and efficient estimation, testing, and plotting
Difference-in-Differences
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.
Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)
Instrumental Variables Mixtape Track
Up-to-date version of labs for ISLP
Lecture notes for "Machine Learning for Economists", spring 2021 at HUJI
Config files for my GitHub profile.
Data and Program files for Causal Inference: The Mixtape
Visualize bank holding company structures with R/shiny, D3
Jupyter notebooks for the Natural Language Processing with Transformers book
Course site for MACS 30150 (Winter 2019) - Perspectives on Computational Modeling for Economics
https://analyticsariel.com/
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.