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Ensemble
Easily make descriptive statistics tables
Machine Learning Estimation of Heterogeneous Causal Effects
Causal Inference stuff
Causal Inference using R. Examples are from the book Causal Inference (Chapman & Hall/CRC, 2012) by Miguel Hernán and Jamie Robins. Complete contributor/reviewer list is updated in http://www.hsph.harvard.edu/faculty/miguel-hernan/causal-inference-book/
Causal Inference in Epidemiology
Repository with code and slides for a tutorial on causal inference.
Causal inference with interference (embedded on a graph).
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robbins
Implementation of Double Machine Learning
Causal trees and forests for estimating heterogeneous treatment effects
R code for causal graph animations
An R package for causal inference in time series
Tools for causal analysis
Discover the Underlying Causal Structure of Data
Methods for heterogeneous treatment effect estimation
Implementation of Causal Mediation Analysis as published by Valeri and VanderWeele (2013, doi: 10.1037/a0031034)
causalMGM is an R package that allow users to learn undirected and directed (causal) graphs over mixed data types (i.e., continuous and discrete variables).
Causal discovery from mixed data with missing values.
Causal Model Selection Hypothesis Tests
Simple implementation for estimating causal effects with M-estimation and sandwich variance estimators
CausalTrail - a tool for performing causal reasoning using the do-calculus
Working repository for Causal Tree and extensions
An R package for causal discovery in heavy-tailed models
Implementation of Tyler Vanderweele's methods for mediation
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.