(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
☆66Dec 7, 2021Updated 4 years ago
Alternatives and similar repositories for BayesianMMM
Users that are interested in BayesianMMM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆404May 28, 2022Updated 4 years ago
- ☆27Oct 7, 2026Updated last week
- ☆92Jun 24, 2023Updated 3 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,053Jun 17, 2025Updated last year
- A package to compute a marketing mix model.☆74Jul 30, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,523Jan 26, 2026Updated 8 months ago
- ☆13Feb 18, 2025Updated last year
- A Marketing Mix Modelling project for an E-Commerce company☆14Oct 3, 2025Updated last year
- RL CIRL Research☆13Dec 8, 2022Updated 3 years ago
- Machine learning and statistical test to evaluate whether a pricing test running on the site has been successful☆11Jul 17, 2017Updated 9 years ago
- ☆47Jan 19, 2025Updated last year
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Apr 3, 2019Updated 7 years ago
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆15Dec 2, 2020Updated 5 years ago
- ☆58Apr 7, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- yolov3 in a docker container (fronted by Flask)☆17Aug 31, 2020Updated 6 years ago
- ☆19Dec 6, 2018Updated 7 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆19Oct 6, 2019Updated 7 years ago
- Causal Inference Using Quasi-Experimental Methods☆22Jan 15, 2021Updated 5 years ago
- ☆20Aug 1, 2026Updated 2 months ago
- ☆137Feb 18, 2024Updated 2 years ago
- A bot to help book notoriously hard-to-get DMV appointments☆16Sep 25, 2018Updated 8 years ago
- ☆52Jun 7, 2018Updated 8 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆27Dec 6, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Please visit https://github.com/Azure/RNNForTimeSeriesForecasting for latest version.☆18Oct 8, 2018Updated 8 years ago
- Helper scripts I use to run many experiments in the morning to check at night☆20Jun 14, 2021Updated 5 years ago
- ☆23Dec 19, 2022Updated 3 years ago
- ☆20Jun 8, 2018Updated 8 years ago
- Data and analysis scripts for understanding molecular entropies, including conformer flexibility☆13Mar 29, 2021Updated 5 years ago
- Emotion classification has always been a very challenging task in Computer Vision. Using the SSD object detection algorithm to extract th…☆25Aug 6, 2018Updated 8 years ago
- An Interactive Approach to Understanding Unsupervised Learning Algorithms☆32Mar 2, 2026Updated 7 months ago
- Open source marketing mix modeling code for vexpower.com☆44Jun 25, 2021Updated 5 years ago
- uplift modeling in scikit-learn style in python☆818Oct 21, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- Web site for Shiny Developer Series☆10Oct 4, 2025Updated last year
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆24Aug 2, 2022Updated 4 years ago
- ☆45Dec 7, 2022Updated 3 years ago
- ☆59Jul 16, 2021Updated 5 years ago
- Some recommendation algorithms and research☆12Sep 16, 2016Updated 10 years ago
- Example using R on Amazon ec2☆10Jun 22, 2020Updated 6 years ago