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Description
Is your feature request related to a problem? Please describe.
Many DL models need extensive hyperparameter optimization in order to find the best-performing model. Since the v0.1
version #142 is based on PyTorch Lightning
, there is the possibility to easily insert hyperparameter optimization. I believe this practice would benefit not only academic research but also industrial applications.
Describe the solution you'd like
There are many already implemented Hyperparameter optimization frameworks, see link for reference. One could think of doing a separate module for hyperparameters optimization, such that the dependency is needed only if the module is used.