Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 1…

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

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

DoubleML - Double Machine Learning in Python

LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime value (pLTV) modeling.

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.

A privacy centric system for cross publisher, cross media ads measurement through secure multiparty computations.

Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.

Commuting zones are geographic areas where people live and work and are useful for understanding local economies, as well as how they differ from traditional boundaries. These zones are a set of bo…

Experimental Open-Source Auto Marketing Mix Modelling tool & feature selection

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

nloptr provides an R interface to NLopt, a free/open-source library for nonlinear optimization providing a common interface to a number of different optimization routines which can handle nonlinear…

Sample codes that allows to fetch different Reach and Frequency curves from the Facebook Marketing API.

siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package features a variety of functions to help users build a data …

Repo for external large-scale work

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

This repository is to discuss proposals before they've been spun off into their on repository.

Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure…

GridLMM package

PyMC educational resources

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…

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.

Solving the Traveling Salesman Problem using Self-Organizing Maps

A Fast sketching based solver for large scale ridge regression

Data on CO2 and greenhouse gas emissions by Our World in Data

A Python toolbox for performing gradient-free optimization

A demonstration of Bayesian approaches to linear model regularization

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.