Hamiltonian Monte Carlo Python Packages

blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

blackjax-nightly

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

torchebm

🍓 Simulation-free, GPU-first generative modeling in PyTorch ⚡ Composable primitives for scalable, stable training of modern EBMs, diffusion, flow matching, and Schrödinger bridges.

ceridwen

GPU-accelerated Bayesian galaxy SED fitting in JAX: nested sampling and VI-preconditioned HMC. Tested, documented, MIT.

mici

Manifold Markov chain Monte Carlo methods in Python

l2hmc

Application of the L2HMC algorithm to simulations in lattice QCD.

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.

hmclab

A numerical laboratory for Bayesian Seismology

l2hmc-qcd

Application of the L2HMC algorithm to simulations in lattice QCD.