plexagon / lucius-ltvLinks
A simple multicohort LTV calculator for subscriptions
☆11Updated 2 years ago
Alternatives and similar repositories for lucius-ltv
Users that are interested in lucius-ltv are comparing it to the libraries listed below
Sorting:
- Gaussian Process Model Building Interface☆52Updated 10 months ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 3 years ago
- ☆18Updated 2 years ago
- MLflow logging for PyMC☆14Updated 5 months ago
- A multiverse of Prophet models for timeseries☆72Updated this week
- Unstructured Code with interesting analysis☆36Updated last year
- A system for Bayesian estimation of state space models using PyMC☆36Updated 6 months ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Repository containing the code of the projects presented in my personal website.☆46Updated last week
- bayes-toolbox☆93Updated 6 months ago
- Presentation materials for PyMC Statespace☆26Updated last year
- ☆134Updated last week
- A Beginner's Guide to State Space Modeling☆25Updated 2 months ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 5 months ago
- Bayesian Conjugate Models in Python☆37Updated this week
- Powerful add-ons for PyMC☆132Updated this week
- ☆12Updated last year
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆118Updated last year
- MetaLearners for CATE estimation☆49Updated 2 weeks ago
- Bayesian Bandits☆68Updated 2 years ago
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆79Updated this week
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated last month
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆57Updated 8 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated last week
- Forecasting 🇫🇷 elections with Bayesian statistics 🥳☆42Updated 3 years ago
- Bringing back uncertainty to machine learning.☆55Updated last year
- Simulation based calibration and generation of synthetic data.☆56Updated 2 months ago
- A Beginner's Guide to Variational Inference☆18Updated 9 months ago
- Efficient matrix representations for working with tabular data☆131Updated last week