google/doubleml-pipeline

Uplift modeling and causal inference with machine learning algorithms

Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

Step-by-step causal inference — method selection, assumptions, and robustness checks

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Causal Digital Twin for Marketing at Scale · Predict any marketing decision before you spend a dollar.

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

MetaLearners for CATE estimation

Python Class created to address problems regarding Digital Marketing Attribution.

Machine learning based causal inference/uplift in Python