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1. mmm mmm Public

   Marketing Mix Modeling (MMM) workbench

   Python 7 3

2. lightweight_mmm lightweight_mmm Public

   Forked from google/lightweight_mmm

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

   Python

3. Robyn Robyn Public

   Forked from facebookexperimental/Robyn

   Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

   Jupyter Notebook

4. GeoLift GeoLift Public

   Forked from facebookincubator/GeoLift

   GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.

   R

5. CausalImpact CausalImpact Public

   Forked from google/CausalImpact

   An R package for causal inference in time series

   R

6. meridian meridian Public

   Forked from google/meridian

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

   Python