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Accelerated Bregman Proximal Gradient Methods
Accelerated proximal gradient package in python
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
estimate BLP demand model in Matlab using state-of-the-art techniques
BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)
MOSEK reletated course material
Easy-to-run example notebooks for Dask
Dask tutorial
Replication package for "How Segregated Is Urban Consumption?"
Replication package for "Cities, Lights, and Skills in Developing Economies"
"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman
Double Machine Learning for Multiple Treatments
DoubleML - Double Machine Learning in Python
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.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Source code for Bazdresch, Kahn, Whited "Estimating and Testing Dynamic Corporate Finance Models"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Example code to create firm level risk in Hassan et al. (2020)
A collection of useful .gitignore templates
Scrape reviews from Glassdoor
Graduate Empirical Industrial Organization
Python tools for GSLab
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.