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Name: Maodoumama
Type: User
Location: Christchurch, New Zealand
Name: Maodoumama
Type: User
Location: Christchurch, New Zealand
Analyse Causale et Méthodes Quantitatives
Applied Data Analytics training program focused on return to social benefit programs
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
《R语言数据可视化之美》配套代码
Comparisons between best subset selection and other popular estimators for sparse regression
Crawl BookCorpus
Authoring Books and Technical Documents with R Markdown
CaPO4Sim, the virtual physiology simulator
First Chapter of Ph.D. research on the impact of Cashmere School Zone Downsizings on Housing Prices
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Difference in Differences with Multiple Periods and Variation in Treatment Timing
Distances on Directed Graphs in R
dplyr: A grammar of data manipulation
Doubly Robust Difference-in-Differences Estimators
Teaching materials for the DSE 2022 summer school at MIT on Market Design
First R package to propose user-friendly functions to compute a series of indices commonly used in Economic Geography.
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.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Fixed-effects estimations
create map for data with coordinates (latitude and longtitude) and data with boundary polygons
Python tools for geographic data
Geocoding library for Python.
Getting Started with Open Source
uva library workshop on introduction to git and github
Statistics New Zealand Integrated Data Infrastructure
Definitions from SWA's projects suitable for use with the dataset assembly tool.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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.