zoj613 / polyagammaLinks
An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.
☆26Updated 5 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☆231Updated last year
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- Tools for an Aesara-based PPL.☆66Updated 10 months ago
- An HMC/NUTS implementation in Aesara☆31Updated 2 years ago
- Unbiased MCMC with couplings☆19Updated 6 years ago
- Solve ODEs fast, with support for PyMC☆114Updated last year
- ABCpy package☆116Updated last year
- State of the art inference for your bayesian models.☆222Updated 4 months ago
- ☆16Updated 5 months ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Python wrapper for nuts-rs☆174Updated last week
- ELFI - Engine for Likelihood-Free Inference☆277Updated 4 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 9 months ago
- Gaussian process modelling in Python☆223Updated 9 months ago
- A generic interface for linear algebra backends☆73Updated 6 months ago
- Manifold Markov chain Monte Carlo methods in Python☆233Updated 2 weeks ago
- Exponential families for JAX☆75Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- 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
- Probabilistic Programming and Nested sampling in JAX☆208Updated last month
- Exploring and eliciting probability distributions☆151Updated 2 weeks ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Database with posteriors of interest for Bayesian inference☆209Updated 3 weeks ago
- Simulation based calibration and generation of synthetic data.☆55Updated last week
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆63Updated last year
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Updated last year
- A backend for storing MCMC draws.☆20Updated 2 weeks ago