  OpenGM is a C++ template library for defining discrete graphical models and
performing inference on these models, using a wide range of state-of-the-art
algorithms. No restrictions are imposed on the factor graph to allow for
higher-order factors and arbitrary neighborhood structures. Large models with
repetitive structure are handled efficiently because (i) functions that occur
repeatedly need to be stored only once, and (ii) distinct functions can be
implemented differently, using different encodings alongside each other in the
same model. Several parametric functions (e.g. metrics), sparse and dense value
tables are provided and so is an interface for custom C++ code. Algorithms are
separated by design from the representation of graphical models and are easily
exchangeable. OpenGM, its algorithms, HDF5 file format and command line tools
are modular and extendible.

Artificial Intelligence;Mathematical Software;Machine Learning