Uplift modeling and causal inference with machine learning algorithms

• UpdatedSep 26, 2025
• Python

❗ uplift modeling in scikit-learn style in python 🐍

• UpdatedOct 21, 2023
• Python

YLearn, a pun of "learn why", is a python package for causal inference

• UpdatedJun 28, 2025
• Python

CausalLift: Python package for causality-based Uplift Modeling in real-world business

• UpdatedMay 13, 2023
• Python

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

• UpdatedApr 26, 2020
• Jupyter Notebook

因果推理&AB实验相关论文小书库

• UpdatedMar 12, 2023

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

• UpdatedOct 25, 2025
• 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】

• UpdatedMar 25, 2023
• Jupyter Notebook

Implementation of paper DESCN, which is accepted in SIGKDD 2022.

• UpdatedDec 27, 2023
• Jupyter Notebook

Uplift modeling and evaluation library. Actively maintained pypi version.

• UpdatedDec 28, 2023
• Python

Machine learning based causal inference/uplift in Python

• UpdatedNov 24, 2023
• Python

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

• UpdatedAug 12, 2024
• Jupyter Notebook

A flexible python package for cost-aware uplift modelling.

• UpdatedSep 6, 2024
• Python

A powerful tree-based uplift modeling system.

• UpdatedJan 23, 2024
• C++

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

• UpdatedDec 26, 2022
• Python

Lightweight uplift modeling framework for Python

• UpdatedDec 2, 2019
• Jupyter Notebook

https://arxiv.org/abs/2009.01561

• UpdatedDec 8, 2022
• Python

A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects

• UpdatedAug 14, 2023
• Python

Heterogeneous Treatment Effect Explorer

• UpdatedAug 17, 2025
• Jupyter Notebook

This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.

• UpdatedDec 26, 2020
• Jupyter Notebook