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Causal Inference
63 Open Source Causal Inference Software Projects
Free and open source causal inference code projects including engines, APIs, generators, and tools.
Dowhy
2305 ⭐
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.
Coz
1969 ⭐
Coz: Causal Profiling
Pgmpy
1611 ⭐
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
Causalml
1358 ⭐
Uplift modeling and causal inference with machine learning algorithms
Econml
971 ⭐
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.
Causalnex
813 ⭐
A Python library that helps data scientists to infer causation rather than observing correlation.
Awesome Causality Algorithms
814 ⭐
An index of algorithms for learning causality with data
Grf
465 ⭐
Generalized Random Forests
Causaldiscoverytoolbox
343 ⭐
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causalimpact
317 ⭐
Python Causal Impact port of Google's Algorithm.
Ggdag
294 ⭐
:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
Expan
258 ⭐
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Python Causality Handbook
268 ⭐
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Cause
193 ⭐
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Rethinking Numpyro
174 ⭐
Statistical Rethinking (2nd ed.) with NumPyro
Causallift
135 ⭐
CausalLift: Causality-based Uplift Modeling in real-world business
Scikit Uplift
126 ⭐
:exclamation: uplift modeling in scikit-learn style in python :snake:
Deepiv
83 ⭐
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
Python For Epidemiologists
69 ⭐
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
Perfect_match
50 ⭐
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
Deepscm
60 ⭐
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Varimpact
43 ⭐
Variable importance through targeted causal inference, with Alan Hubbard
Causalinference.jl
43 ⭐
Causal inference, graphical models and structure learning with the PC algorithm.
Awesome Decision Making Reinforcement Learning
44 ⭐
A selection of state-of-the-art research materials on decision making and motion planning.
Causal Ml
36 ⭐
Must-read papers and resources related to causal inference and machine (deep) learning
Network Deconfounder Wsdm20
31 ⭐
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
Policytree
26 ⭐
Policy learning via doubly robust empirical welfare maximization over trees
Hte
26 ⭐
Causaldag
30 ⭐
Python package for the creation, manipulation, and learning of Causal DAGs
Rdd
24 ⭐
Python tools for regression discontinuity designs
Tmle3
23 ⭐
🎯🎓 Generalized Targeted Learning Framework
Weightit
23 ⭐
R package for propensity score weighting
Ngreifer Cobalt
23 ⭐
Covariate Balance Tables and Plots - An R package for assessing covariate balance
Pylift
27 ⭐
Uplift modeling and evaluation library. Actively maintained pypi version.
D909b Drnet
21 ⭐
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
Evalsp20.classes.andrewheiss.com
20 ⭐
🎓 GSU MPA/MPP course on program evaluation and causal inference
Cibookex R
21 ⭐
Causal Inference: What If. R and Stata code for Exercises
R Causal
20 ⭐
R Wrapper for Tetrad Library
Lmtp
17 ⭐
:package: Non-parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies :crystal_ball:
Gumbel Max Scm
18 ⭐
Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
Tlverse Handbook
17 ⭐
🎯 :closed_book: The Hitchhiker's Guide to the tlverse, or a Targeted Learning Practitioner's Handbook [WIP]
Awesome Neural Logic
17 ⭐
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。
Invariantcausal.jl
16 ⭐
Causal Inference with Invariant Prediction
Causal Inference For Data Scientists
16 ⭐
Notebooks of Python and R code which illustrates basic causal inference using simulated data
Nimcoz
16 ⭐
Nim Wrapper For Coz Profiler
Py Bbn
14 ⭐
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
Causal Mediation Analysis For Ab Tests
13 ⭐
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
Vltimeseriescausality
14 ⭐
A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
Msuzen Looper
17 ⭐
A resource list for causality in statistics, data science and physics
Machine Learning Summer Schools
11 ⭐
Curated materials for different machine learning related summer schools
Cibook Study Python
13 ⭐
効果検証入門のコードをPythonで実装しました。
Cikm18 Lcva
11 ⭐
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Drtmle
11 ⭐
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
Rcit
10 ⭐
The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
Causeinfer
14 ⭐
Machine learning based causal inference/uplift in Python
Causal Inference
10 ⭐
Materials Collection for Causal Inference
Hete
10 ⭐
Heterogeneous Treatment Effects
Overview_causal_inference
10 ⭐
A Brief Overview of Causal Inference (xaringan presentation)
Awesome Causal Inference
13 ⭐
A (concise) curated list of awesome Causal Inference resources.
Shapflex
14 ⭐
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Counterfactual Cv
12 ⭐
(ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
Cfml_tools
10 ⭐
Counterfactual Machine Learning Tools
bad-slug
11 ⭐
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).