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Name: Nuong Nguyen
Type: User
Name: Nuong Nguyen
Type: User
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis
Code and examples from Business Data Science
Causal Inference 1 Mixtape Session
Causal Inference II Mixtape Session
Code for the Book Causal Inference in Python
Uplift modeling and causal inference with machine learning algorithms
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
This guide aims to be a full instruction on how to download and merge Refinitiv (formerly Thomson Reuters) Datastream Worldscope data into one comprehensive dataset of yearly stock quoted financial statements.
ddml: Double/Debiased Machine Learning in R
Supplementary materials for "Confounding and Regression Adjustment in Difference-in-Differences Studies"
difference-in-differences 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 in
This is a Hello World for economists using Stata and Dropbox!
A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Graduate Empirical Industrial Organization
Robust inference in difference-in-differences and event study designs
This project implements an instance segmentation model using the UNET architecture to precisely identify and segment lungs and heart structures in medical images from the JSRT dataset. The goal is to provide accurate delineation of these organs, aiding in medical image analysis and diagnosis.
Source code for the Library of Statistical Techniques
A resource for learning about Machine learning & Deep Learning
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
In this repository I collect the lecture notes and code for an advanced course in Empirical Industrial Organization. All code is written in Julia.
R package for power calculations and visualization for pre-trends tests
original paper: Chang, Neng-Chieh. "Double/debiased machine learning for difference-in-differences models." The Econometrics Journal 23.2 (2020): 177-191
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.