pymc-devs / mcbackendLinks
A backend for storing MCMC draws.
☆21Updated 3 weeks ago
Alternatives and similar repositories for mcbackend
Users that are interested in mcbackend are comparing it to the libraries listed below
Sorting:
- Python wrapper for nuts-rs☆182Updated last week
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- Exploring and eliciting probability distributions☆160Updated 3 weeks ago
- Bayesian inference and posterior analysis for Python☆46Updated 2 years ago
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Updated 3 months ago
- Step size adaptation for the No-U-Turn Sampler☆26Updated last month
- Powerful add-ons for PyMC☆127Updated this week
- Simulation based calibration and generation of synthetic data.☆56Updated last month
- Stats, linear algebra and einops for xarray☆67Updated 2 weeks ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆59Updated last year
- Tools for an Aesara-based PPL.☆67Updated last year
- Solve ODEs fast, with support for PyMC☆117Updated last year
- PyMC Extras extracted from the "exoplanet" library☆19Updated 2 weeks ago
- Formulas for mixed-effects models in Python☆64Updated last week
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Randomization-based inference in Python☆84Updated last week
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Bayesian Conjugate Models in Python☆33Updated last week
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Updated 3 years ago
- Numba-accelerated statistical distributions☆65Updated 3 weeks ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated last week
- ☆22Updated last year
- A implementation of NUTS in rust☆94Updated last week
- State of the art inference for your bayesian models.☆231Updated 7 months ago
- ArviZ modular plotting☆19Updated this week
- Gaussian Process Model Building Interface☆52Updated 9 months ago
- ☆16Updated 8 months ago
- Hidden Markov models in PyMC3☆97Updated last year
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆33Updated 2 years ago