PyRank

Markov Chain Monte Carlo Python Packages

Python packages with the GitHub topic markov-chain-monte-carlo. Sorted by relevance, with stars and monthly downloads.
GPflow
gpflow

Gaussian processes in TensorFlow

94K 2K 431
netket
netket

Machine learning algorithms for many-body quantum systems

14K 688 215
ggalloni
lilit

Likelihood for LiteBIRD

1K 4 0
matt-graham
mici

Manifold Markov chain Monte Carlo methods in Python

822 237 28
prmiles
pymcmcstat

Python implementation of MATLAB toolbox "mcmcstat"

685 74 11
eggplantbren
dnest4

Diffusive Nested Sampling

525 73 23
clberube
bisip

Bayesian inversion of SIP data

514 15 4
lucadellalib
bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

492 14 1
draktr
monte-library

monte-library is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

279 5 0
ngalioto
mcmc-samplers

A Python package for MCMC sampling.

278 0 0
eigenfoo
littlemcmc

A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.

204 59 12
saurabhkm
mcmcallotter

This is a python package based on the source code for "An MCMC Based Course to Teaching Assistant Allocation", S. Kumar, S. Moothedath, P. Chaporkar, M. Belur, Proceedings of the Fifth International Conference on Network, Communication and Computing (2016). ACM.

199 0 0
UQatKIT
ls-mcmc

A light-weight library for large-scale Markov Chain Monte Carlo sampling

157 2 0
zoj613
occuspytial

A package for fast bayesian analysis of single season spatial occupancy models.

154 3 1
gpflow
gpflow-old

Gaussian processes in TensorFlow

131 2K 431
larsgeb
hmclab

A numerical laboratory for Bayesian Seismology

105 31 2
UQatKIT
lsmcmc

A light-weight library for large-scale Markov Chain Monte Carlo sampling

4 2 0