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The Top 23 Treatment Effects Open Source Projects

Open source projects categorized as Treatment Effects
Categories > Treatment Effects
Dowhy ⭐ 6,730
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.
dependent packages 7total releases 14most recent commit 2 months agopypi dowhy} Downloads
Econml ⭐ 3,597
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
dependent packages 4total releases 31most recent commit a month agopypi econml} Downloads
Causal Ml ⭐ 376
Must-read papers and resources related to causal inference and machine (deep) learning
most recent commit 2 years ago
Catenets ⭐ 90
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
most recent commit 10 months ago
Rdrobust ⭐ 60
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
dependent packages 2total releases 13most recent commit 6 months agopypi rdrobust} Downloads
Causeinfer ⭐ 54
Machine learning based causal inference/uplift in Python
total releases 35most recent commit 7 months ago
Baggr ⭐ 43
R package for Bayesian meta-analysis models, using Stan
dependent packages 1total releases 10most recent commit 6 months ago
Descn ⭐ 36
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
most recent commit 6 months ago
Openasce ⭐ 35
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.
most recent commit 6 months ago
Network Deconfounder Wsdm20 ⭐ 35
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
most recent commit 3 years ago
Causalegm ⭐ 35
A General Causal Inference Framework by Encoding Generative Modeling
total releases 15most recent commit a year ago
Personalized ⭐ 24
Methods for subgroup identification / personalized medicine / individualized treatment rules
dependent packages 1total releases 12most recent commit 2 years ago
Causaltoolbox ⭐ 23
most recent commit a year ago
Pyuplift ⭐ 19
Python uplift modeling implementation
most recent commit 5 years ago
Tidytreatment ⭐ 14
Tidy methods for Bayesian treatment effect models
total releases 2most recent commit a year ago
Causalinference ⭐ 12
CRAN Task View: Causal Inference
most recent commit 10 months ago
Cfml_tools ⭐ 12
My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context
most recent commit 3 years ago
Txshift ⭐ 12
📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
total releases 2most recent commit 8 months ago
Cikm18 Lcva ⭐ 12
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
most recent commit a year ago
Tmle3shift ⭐ 11
🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions
most recent commit 2 years ago
Causalglm ⭐ 11
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
most recent commit 2 years ago
Bites ⭐ 11
BITES: Balanced Individual Treatment Effect for Survival data
most recent commit a year ago
Rdpackages.github.io ⭐ 10
Regression Discontinuity Design Software Packages
most recent commit 8 months ago
The 5 Most Depended On Treatment Effects Open Source Projects
Rdrobust ⭐ 60
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
dependent packages 2total releases 13latest release October 09, 2023most recent commit 6 months agopypi rdrobust} Downloads
Personalized ⭐ 24
Methods for subgroup identification / personalized medicine / individualized treatment rules
dependent packages 1total releases 12latest release May 22, 2019most recent commit 2 years ago
Baggr ⭐ 43
R package for Bayesian meta-analysis models, using Stan
dependent packages 1total releases 10latest release March 22, 2023most recent commit 6 months ago
The 10 Latest Releases In Treatment Effects Open Source Projects
Rdrobust ⭐ 60
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
dependent packages 2total releases 13latest release October 09, 2023most recent commit 6 months agopypi rdrobust} Downloads
Rdlocrand ⭐ 6
Finite-sample inference for RD designs using local randomization and related methods.
total releases 1latest release June 29, 2023most recent commit 5 months ago
Baggr ⭐ 43
R package for Bayesian meta-analysis models, using Stan
dependent packages 1total releases 10latest release March 22, 2023most recent commit 6 months ago
Causalegm ⭐ 35
A General Causal Inference Framework by Encoding Generative Modeling
total releases 15latest release March 14, 2023most recent commit a year ago
Rddensity ⭐ 9
Manipulation testing using local polynomial density methods.
total releases 3latest release January 24, 2023most recent commit 5 months ago
Causeinfer ⭐ 54
Machine learning based causal inference/uplift in Python
total releases 35latest release July 09, 2022most recent commit 7 months ago
Tidytreatment ⭐ 14
Tidy methods for Bayesian treatment effect models
total releases 2latest release July 26, 2021most recent commit a year ago
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