There are 90 repositories under causal-inference topic.
Coz: Causal Profiling
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.
An index of algorithms for learning causality with data
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causal Discovery in Python. Translation and extension of the Tetrad Java code.
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.
Learn about Machine Learning and Artificial Intelligence
:exclamation: uplift modeling in scikit-learn style in python :snake:
A Python package for modular causal inference analysis and model evaluations
A curated list of causal inference libraries, resources, and applications.
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
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.
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
Statistical Rethinking (2nd ed.) with NumPyro
DoubleML - Double Machine Learning in Python
YLearn, a pun of "learn why", is a python package for causal inference
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
A selection of state-of-the-art research materials on decision making and motion planning.