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Algorithms for monitoring and explaining machine learning models
A repository for sharing basic stata code and workbooks describing Bayesian estimation of a mixed logit model
Python BLP code (Berry Levinsohn Pakes)
BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)
A Python implementation of Berry, Lenvinsohn, Pakes (1995)
exercise
Basic kaggle challenges I did to learn and practice machine learning
Estimating demand of painkillers in the Danish market
A python package for estimating conditional logit models.
A community based Python library for quantitative economics
Dynamic Discrete Choice Models with or without unobserved state variables
Southwestern University submission to the 2018 VAST Challenge
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.