williambdean / conjugateLinks
Bayesian Conjugate Models in Python
☆31Updated this week
Alternatives and similar repositories for conjugate
Users that are interested in conjugate are comparing it to the libraries listed below
Sorting:
- A Beginner's Guide to Variational Inference☆18Updated 3 months ago
- Exploring and eliciting probability distributions☆145Updated 3 weeks ago
- Powerful add-ons for PyMC☆109Updated this week
- ArviZ modular plotting☆18Updated this week
- Formulas for mixed-effects models in Python☆62Updated 6 months ago
- ☆18Updated 2 years ago
- ☆73Updated 2 months ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated last month
- Kullback-Leibler projections for Bayesian model selection in Python☆38Updated 3 months ago
- ☆121Updated last week
- Python wrapper for nuts-rs☆169Updated this week
- Simulation based calibration and generation of synthetic data.☆54Updated last month
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆35Updated 9 months ago
- Database with posteriors of interest for Bayesian inference☆205Updated 2 months ago
- Step size adaptation for the No-U-Turn Sampler☆19Updated last month
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated this week
- MLflow logging for PyMC☆13Updated 4 months ago
- A system for Bayesian estimation of state space models using PyMC☆35Updated 3 weeks ago
- Educational resources☆104Updated 3 years ago
- Gaussian Process Model Building Interface☆51Updated 4 months ago
- CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan progra…☆175Updated last week
- Bayesian Regression Models in Pyro☆72Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆165Updated last year
- Hidden Markov models in PyMC3☆99Updated last year
- ☆12Updated 8 months ago
- Pythonic interface to R's brms☆45Updated 3 years ago
- The PyMC-Labs default project starter☆20Updated 2 weeks ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆102Updated last month
- Self-tuning HMC algorithms and evaluations☆19Updated 9 months ago