dwave-hybrid provides a framework for iterating arbitrary-sized sets of samples through parallel solvers to find an optimal solution.
For the documentation of a particular code element, see the Reference Documentation section. This introduction gives an overview of the package; steps you through using it, starting with running a provided hybrid solver that handles arbitrary-sized QUBOs; and points out the way to developing your own components in the framework.
Overview presents the framework and explains key concepts.
Using the Framework shows how to use the framework. You can quickly get started by using a provided reference sampler built with this framework, Kerberos, to solve a problem too large to minor-embed on a D-Wave system. Next, use the framework to build (hybrid) workflows; for example, a solver similar to qbsolv, which can employ tabu search on a whole problem while submitting parts of the problem to a D-Wave system.
Developing New Components guides you to developing your own hybrid components.
Reference Examples describes some workflow examples included in the code.