zoj613 / polyagammaLinks
An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.
☆26Updated 6 months ago
Alternatives and similar repositories for polyagamma
Users that are interested in polyagamma are comparing it to the libraries listed below
Sorting:
- Just a little MCMC☆232Updated last year
- Tools for an Aesara-based PPL.☆67Updated last year
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated 2 years ago
- ☆16Updated 7 months ago
- State of the art inference for your bayesian models.☆226Updated 6 months ago
- ABCpy package☆116Updated last year
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆58Updated last year
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 11 months ago
- Solve ODEs fast, with support for PyMC☆117Updated last year
- A generic interface for linear algebra backends☆74Updated last week
- Exponential families for JAX☆75Updated last week
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆78Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- ELFI - Engine for Likelihood-Free Inference☆276Updated 6 months ago
- Gaussian process modelling in Python☆225Updated 10 months ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆235Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 4 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Continuously tempered Hamiltonian Monte Carlo☆12Updated 8 years ago
- Python wrapper for nuts-rs☆177Updated last week
- Database with posteriors of interest for Bayesian inference☆210Updated 2 months ago
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆63Updated last year
- probabilistic programming focused on fun☆43Updated last week
- Efficient, lightweight variational inference and approximation bounds☆45Updated 3 weeks ago
- Probabilistic Programming and Nested sampling in JAX☆210Updated 2 months ago
- Inference Combinators in JAX☆52Updated 5 months ago