guillermo-navas-palencia / cpriorLinks
Fast Bayesian A/B and Multivariate testing.
☆36Updated 3 years ago
Alternatives and similar repositories for cprior
Users that are interested in cprior are comparing it to the libraries listed below
Sorting:
- ☆134Updated last week
- Generalized additive models in Python with a Bayesian twist☆78Updated 5 months ago
- An extension of CatBoost to probabilistic modelling☆148Updated 2 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆118Updated last year
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Learn Pyro through the M5 forecasting competition☆86Updated 5 years ago
- mlmachine accelerates machine learning experimentation☆29Updated 4 years ago
- Hidden Markov models in PyMC3☆96Updated last year
- Educational resources☆105Updated 4 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Time should be taken seer-iously☆319Updated 2 years ago
- Repository containing the code of the projects presented in my personal website.☆45Updated last week
- Bayesian time series forecasting and decision analysis☆120Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- A multiverse of Prophet models for timeseries☆72Updated last month
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆120Updated last year
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.☆33Updated 2 years ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆62Updated last year
- Berlin Time Series Analysis Repository☆104Updated 2 years ago
- PyData London 2022 Tutorial☆69Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- bayes-toolbox☆93Updated 6 months ago
- Unstructured Code with interesting analysis☆36Updated last year
- Powerful add-ons for PyMC☆132Updated last week
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆32Updated 3 years ago
- Bayesian Additive Regression Trees For Python☆231Updated 2 years ago
- Bringing back uncertainty to machine learning.☆55Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆298Updated this week
- Presented at Scipy Conference 2019☆127Updated 5 years ago