dazhwu Goto Github PK
Name: Dazhong Wu
Type: User
Company: University of the District of Columbia
Bio: Associate Professor of Information Systems at University of the District of Columbia
Location: Washington, DC
Name: Dazhong Wu
Type: User
Company: University of the District of Columbia
Bio: Associate Professor of Information Systems at University of the District of Columbia
Location: Washington, DC
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis
🦆 A curated list of awesome DuckDB resources
Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code for estimation of demand and supply-side moment jointly is also provided.
Julia编程指南
The replication data and files for Liangjun Su, Zhentao Shi and Peter Phillips (2016, Econometrica): “Identifying Latent Structures in Panel Data”
Patent Citation Network Analysis: Graph Theory
Latest CENTOS with Rstudio Server, OpenCPU Server and Shiny Server with Microsoft R Open as base R installation
Find the citation network from patent data collected from 1976 to 2006.
R package for estimating copula entropy (mutual information) and transfer entropy (conditional independence)
Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread
A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
R package for fitting dynamic panel models with maximum likelihood
Code and notebooks for Econometric Theory
Econometrics lecture notes with examples using the Julia language
Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches
《流畅的 Python》阅读笔记
The scripts for simulation results in "Estimation of Sparse Structural Parameters with Many Endogenous Variables" (2016), Econometric Reviews.
Generalized Method of Moments--from scratch
GC Paper
A Grocery of R
Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
Quantlets for Project INET
Software tools to quantify structural importance of nodes in a network
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.