stan-dev / posteriordb-pythonLinks
☆21Updated 8 months ago
Alternatives and similar repositories for posteriordb-python
Users that are interested in posteriordb-python are comparing it to the libraries listed below
Sorting:
- Powerful add-ons for PyMC☆102Updated this week
- Simulation based calibration and generation of synthetic data.☆51Updated 2 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 7 months ago
- Exploring and eliciting probability distributions☆137Updated this week
- Python wrapper for nuts-rs☆148Updated this week
- Bayesian Conjugate Models in Python☆29Updated this week
- Database with posteriors of interest for Bayesian inference☆200Updated last week
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆101Updated 2 weeks ago
- State of the art inference for your bayesian models.☆218Updated last month
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated 3 months ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Gaussian Process Model Building Interface☆50Updated 2 months ago
- Tools for an Aesara-based PPL.☆65Updated 7 months ago
- Hidden Markov models in PyMC3☆99Updated last year
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- ArviZ modular plotting☆18Updated this week
- A backend for storing MCMC draws.☆18Updated last month
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Bayesian Regression Models in Pyro☆72Updated 10 months ago
- ☆112Updated last week
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated last week
- probabilistic programming focused on fun☆41Updated 7 months ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Markov Chain Monte Carlo Visualization Tools☆25Updated last month
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆56Updated 10 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year