Lecture notes for the Causality in Machine Learning course

A curated list of awesome work on causal inference, particularly in machine learning.

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.

This repository consolidates my teaching material for "Causal Machine Learning".

Machine Learning and Causal Inference taught by Brigham Frandsen

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Uplift modeling and causal inference with machine learning algorithms

Documentation and User Guide for DoubleML - Double Machine Learning in Python & R

DoubleML - Double Machine Learning in R

DoubleML - Double Machine Learning in Python

Rmd source files for the HarvardX series PH525x

程序员延寿指南 | A programmer's guide to live longer

Convert sjPlot::tab_model() html tables to tex and pdf

深度学习入门教程, 优秀文章, Deep Learning Tutorial

This repository contains the supplementary material associated with my book: Essential Math for AI published by O'Reilly Media