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Name: Chencheng Fang
Type: User
Company: Universität Bonn
Location: Bonn, Deutschland
Name: Chencheng Fang
Type: User
Company: Universität Bonn
Location: Bonn, Deutschland
Dimension Adaptive Estimation
This is a curated list of papers on Econometrics that are sorted by topic and year.
This is a shiny app that facilitates the sensitivity analysis proposed in Rambachan and Roth (2022) and is built on the R package: HonestDiD
Dimension Adaptive Estimation
Generates LaTeX code for drawing well-formatted neural network diagrams with TikZ
A community based Python library for quantitative economics
This is a simple raffle machine app that draws winners out of participants
This repository includes all materials needed for my project in the lecture Topics in Econometrics and Statistics
All materials I created for Topics in Metrics and Stats 2020 Winter Semester
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.