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gpflow

Gaussian processes in TensorFlow

netket

Machine learning algorithms for many-body quantum systems

pymcmcstat

Python implementation of MATLAB toolbox "mcmcstat"

bisip

BISIP | Bayesian inversion of spectral induced polarization laboratory data

mici

MCMC samplers based on simulating Hamiltonian dynamics on a manifold.

lilit

Likelihood for LiteBIRD

littlemcmc

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

dnest4

Diffusive Nested Sampling

bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

occuspytial

'A package for bayesian analysis of spatial occupancy models'

mcmcallotter

Solve allottment/matching problems with MCMC

mcmc-samplers

A Python package for MCMC sampling.

monte-library

Monte 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.

ls-mcmc

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

gpflow-old

Gaussian process methods in tensorflow

hmclab

A numerical laboratory for Bayesian Seismology

lsmcmc

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