Stars
Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …
A python package for learning prior distributions based on expert knowledge
Method for translating expert knowledge into corresponding prior distributions for parameters in a Bayesian model.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
User and showcase agent-based models developed using Mesa
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
A cutting-edge AI dubbing solution designed to enhance the global reach of digital advertising.
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
Code for the Book Causal Inference in Python
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.
Archive of NBA Elo data (updated from FiveThirtyEight version)
State of the art inference for your bayesian models.
Transparent, robust and trustworthy A/B experimentation for Shopping feeds.
Bayesian Modeling and Probabilistic Programming in Python
R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes
ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template
Real numbers, data science and chaos: How to fit any dataset with a single parameter
Bucket of unrelated graphics experiments. Just a place to keep stuff so I don't lose it.
Book and code for Think Complexity, 2nd edition
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.