LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

A curated list of causal inference libraries, resources, and applications.

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

Code for the Book Causal Inference in Python

🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】

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 go…

An index of algorithms for learning causality with data

Python port of CausalImpact R library

《基本有用的计量经济学》（MUSE）

Causal Inference Demo

《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。

Uplift modeling and evaluation library. Actively maintained pypi version.

Repository containing notebooks of my posts on Medium

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Anomaly detection related books, papers, videos, and toolboxes

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

因果推断虚构案例, 演示 standardizing 和 IP weighting 两种方法

Important book about the machine learning algorithms, and introduces the application of those who use these algorithms and tools, and how to use them in a real environment. This book and other book…

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

Source code and pdf from the book 《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)。

Uplift modeling and causal inference with machine learning algorithms

Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library