Code for paper "Estimating Trustworthy Treatment Effects for Antibiotic Stewardship in Sepsis"

A Survey on Causal Generative Modeling (TMLR 2024)

中国提供计算机视觉(CV)算法岗位的公司名单，欢迎大家提交issues进行补充

Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.

Tool to produce causal estimates from propensity scores.

Materials for the course Causal Inference Using Machine Learning

Non-parametric conditional density estimation with binned conditional histograms

Estimating Causal Effects Using Proxy Interference Networks

Causal Inference Class Notes & Coding Exercises

KDPE Simulation Files

[TMLR 2024] Efficient Large Language Models: A Survey

A collection of visual guides to help applied scientists learn causal inference.

Causal Inference (DS-UA 201) – Fall 2024

Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals

🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions

causal ai class

Estimators and datasets for treatment effect estimation in natural experiments.

Visual Analysis of Multi-outcome Causal Graphs

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

This repository provides notebooks based on the book Causal ML.

Course website for STAT 451 at Macalester College (Fall 2024)

Generalized Random Forests

Supplementary material for the article "Double Machine Learning and Batch Adaptive Experiments" in the Journal of Causal Inference

Awesome Causal Incremental / Continual / Lifelong Learning

AutoML for causal inference.

Course website for MY457 and MY557 at the London School of Economics

教材 Causal Inference: What if 的编译和解读！