GraphIDyOM is a validated graph-native Python reimplementation of IDyOM that reproduces Lisp reference outputs with mean information-content differences below 0.003 bits and exposes predictive memories as graphs.
py2lispIDyOM: A Python package for the information dynamics of music (IDyOM) model.Journal of Open Source Software, 7(79):4738, 2022
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GraphIDyOM: A graph-native Python reimplementation of IDyOM for musical expectation modelling
GraphIDyOM is a validated graph-native Python reimplementation of IDyOM that reproduces Lisp reference outputs with mean information-content differences below 0.003 bits and exposes predictive memories as graphs.