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Machine learning codes are usually laden with far too many complexities (hyperparameters, preprocessing and right things coded in wrong places ...). I am on a mission to untangle ML code by logically separating work flow and creating a re-usable framework that you can easily apply to your machine learning tasks involving any type of data.
This application will reduce the number of vertices and faces on 3D surfaces by the percent reduction chosen. It can also be used to convert between filetypes.