guillermo-navas-palencia / cprior
Fast Bayesian A/B and Multivariate testing.
β36Updated 2 years ago
Alternatives and similar repositories for cprior
Users that are interested in cprior are comparing it to the libraries listed below
Sorting:
- πͺ Bayesian Hierarchical Models at Scaleβ52Updated 3 years ago
- β111Updated this week
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable anβ¦β30Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimationβ50Updated 3 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.β116Updated last year
- An extension of CatBoost to probabilistic modellingβ142Updated last year
- Bayesian Banditsβ68Updated last year
- Unstructured Code with interesting analysisβ37Updated 6 months ago
- Bayesian time series forecasting and decision analysisβ116Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakrβ51Updated 5 months ago
- Generalized additive models in Python with a Bayesian twistβ77Updated 11 months ago
- Hidden Markov models in PyMC3β99Updated last year
- Tools for diagnostics and assessment of (machine learning) modelsβ34Updated 2 months ago
- mlmachine accelerates machine learning experimentationβ30Updated 3 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-caβ¦β24Updated 2 years ago
- A simple to use AB testing framework that lets anyone perform bayesian data analysisβ20Updated 7 months ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAMβ84Updated last year
- In which I play with the ideas surrounding causalityβ52Updated 2 years ago
- Repository containing the code of the projects presented in my personal website.β42Updated 2 weeks ago
- ππ Lets Python do AB testing analysis.β76Updated last month
- A package to compute a marketing mix model.β70Updated last year
- Cyclic Boosting Machines - an explainable supervised machine learning algorithmβ60Updated 8 months ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)β24Updated 5 months ago
- π Comparing causality methods in a fair and just way.β138Updated 5 years ago
- A multiverse of Prophet models for timeseriesβ48Updated this week
- Powerful add-ons for PyMCβ101Updated this week
- MLflow logging for PyMCβ8Updated last month
- bayes-toolboxβ92Updated 5 months ago
- Hierarchical Time Series Forecasting with a familiar APIβ224Updated 2 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.β24Updated this week