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Python code for Computer Age Statistical Inference
Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Julia implementation of Decision Tree (CART) and Random Forest algorithms
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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.
Stata package for running max, min, and range
Google Research
Stata package for permuting observations in select data variables
A testing framework for Stata's Mata language
Tools for Stata's Mata language
Use Python within Stata
scikit-learn: machine learning in Python
Use Stata .dta files in Python
Stata kernel for IPython/Jupyter
Stata package for finding argmax and argmin
Code used in my Stata Conference presentation
Use Stata .dta files in JavaScript
Statsmodels: statistical modeling and econometrics in Python
A computer algebra system written in pure Python
PyTorch implementation of TabNet paper
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.