pollsposition / modelsLinks
Forecasting π«π· elections with Bayesian statistics π₯³
β42Updated 3 years ago
Alternatives and similar repositories for models
Users that are interested in models are comparing it to the libraries listed below
Sorting:
- Educational resourcesβ104Updated 3 years ago
- Fast Bayesian A/B and Multivariate testing.β36Updated 2 years ago
- In which I play with the ideas surrounding causalityβ53Updated 2 years ago
- Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)β18Updated 5 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.β24Updated 2 weeks ago
- Repository containing the code of the projects presented in my personal website.β42Updated this week
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)β25Updated 3 weeks ago
- MLflow logging for PyMCβ12Updated 3 months ago
- πͺ Bayesian Hierarchical Models at Scaleβ51Updated 3 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".β24Updated last year
- Generalized additive models in Python with a Bayesian twistβ78Updated last year
- Tools for diagnostics and assessment of (machine learning) modelsβ38Updated 2 weeks ago
- Bayesian Conjugate Models in Pythonβ31Updated last week
- β121Updated last week
- Formulas for mixed-effects models in Pythonβ61Updated 5 months ago
- Powerful add-ons for PyMCβ106Updated last week
- A system for Bayesian estimation of state space models using PyMCβ33Updated last year
- Buy Till You Die and Customer Lifetime Value statistical models in Python.β117Updated last year
- Efficient matrix representations for working with tabular dataβ123Updated last week
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Retβ¦β73Updated last year
- Exploring and eliciting probability distributionsβ139Updated 3 weeks ago
- MetaLearners for CATE estimationβ45Updated 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¦β31Updated 2 years ago
- β73Updated 6 years ago
- Hidden Markov models in PyMC3β99Updated last year
- Gaussian Process Model Building Interfaceβ51Updated 4 months ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019β36Updated 2 years ago
- β72Updated last month
- Rethinking machine learning pipelinesβ32Updated 7 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakrβ51Updated last month