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19 search results found

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.

Python Causality Handbook ⭐ 2,265

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Causalnex ⭐ 2,109

A Python library that helps data scientists to infer causation rather than observing correlation.

Causal_inference_python_code ⭐ 898

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Causallib ⭐ 653

A Python package for modular causal inference analysis and model evaluations

Doubleml For Py ⭐ 365

DoubleML - Double Machine Learning in Python

Causal Inference With Python ⭐ 328

Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

Auton Survival ⭐ 271

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

A resource list for causality in statistics, data science and physics

Doubleml For R ⭐ 88

DoubleML - Double Machine Learning in R

Causeinfer ⭐ 54

Machine learning based causal inference/uplift in Python

Tlverse Handbook ⭐ 51

🎯 📕 Targeted Learning in R: A Causal Data Science Handbook

Dame Flame Python Package ⭐ 48

A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data

Fast and customizable framework for automatic and quick Causal Inference in Python

Casual_inference ⭐ 16

Do causal inference more casually.

Causalinferencelab.github.io ⭐ 12

가짜연구소 인과추론팀 블로그입니다!

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

Causalglm ⭐ 11

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Doubleml Serverless ⭐ 10

DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

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