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HMCF "Hamiltonian Monte Carlo for Fields" is a software add-on for the NIFTy"Numerical Information Field Theory" framework implementing Hamiltonian MonteCarlo (HMC) sampling in Python. HMCF as well as NIFTy are designed to addressinference problems in high-dimensional spatially correlated setups such asimage reconstruction. HMCF adds an HMC sampler to NIFTy that automaticallyadjusts the many free parameters steering the HMC sampling machinery. A widevariety of features ensure efficient full-posterior sampling forhigh-dimensional inference problems. These features include integration stepsize adjustment, evaluation of the mass matrix, convergence diagnostics, higherorder symplectic integration and simultaneous sampling of parameters andhyperparameters in Bayesian hierarchical models.

HMCF - Hamiltonian Monte Carlo Sampling for Fields - A Python framework for HMC sampling with NIFTy