causal-inference
There are 917 repositories under causal-inference topic.
py-why/dowhy
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.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
plasma-umass/coz
Coz: Causal Profiling
py-why/EconML
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.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
grf-labs/grf
Generalized Random Forests
brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
fulifeng/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
xieliaing/CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
fehiepsi/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
r-causal/ggdag
:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
CausalInferenceLab/Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
DataCanvasIO/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
cdt15/lingam
Python package for causal discovery based on LiNGAM.
Minyus/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
zalando/expan
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
autonlab/auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
msuzen/looper
A resource list for causality in statistics, data science and physics
criteo-research/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
imirzadeh/awesome-causal-inference
A (concise) curated list of awesome Causal Inference resources.