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:
- Exploring and eliciting probability distributions☆139Updated last week
- Powerful add-ons for PyMC☆105Updated this week
- Self-tuning HMC algorithms and evaluations☆19Updated 8 months ago
- Python wrapper for nuts-rs☆152Updated last week
- Bayesian Conjugate Models in Python☆31Updated 2 weeks ago
- State of the art inference for your bayesian models.☆219Updated last month
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Database with posteriors of interest for Bayesian inference☆202Updated 3 weeks ago
- Simulation based calibration and generation of synthetic data.☆53Updated last week
- Bayesian Regression Models in Pyro☆72Updated 11 months ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆102Updated 2 weeks ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Markov Chain Monte Carlo Visualization Tools☆25Updated 2 months ago
- ☆118Updated this week
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated 4 months ago
- Gaussian Process Model Building Interface☆51Updated 3 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- ArviZ modular plotting☆18Updated last week
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Step size adaptation for the No-U-Turn Sampler☆14Updated this week
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated 11 months ago
- A backend for storing MCMC draws.☆19Updated last month
- Tools for an Aesara-based PPL.☆65Updated 7 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- The tiniest of Gaussian Process libraries☆311Updated last week
- A system for Bayesian estimation of state space models using PyMC☆33Updated last year
- ☆167Updated last month