ComNetsHH/omnetpp-ml
Materials on how to use machine learning frameworks in OMNeT++
This project helps network researchers and engineers integrate machine learning capabilities directly into their OMNeT++ network simulations. You can input pre-trained neural networks or define reinforcement learning environments within OMNeT++, and the project provides methods to incorporate these into your simulation logic. The output is a more intelligent, adaptive network simulation that leverages machine learning for decision-making or analysis.
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Use this if you are an OMNeT++ user who wants to explore how machine learning, especially deep learning or reinforcement learning, can enhance or be applied within your network simulation scenarios.
Not ideal if you are looking for a general-purpose machine learning library or if your primary focus is on training complex models outside of an OMNeT++ simulation context.
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Jan 26, 2024
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