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Welcome to the Machine Learning Front-End Framework Wiki!

Machine learning models have become increasingly popular for performing automatic classification. However, researchers have to constantly code the training procedure of common networks which can be tedious. We will streamline this process by providing a frontend application where users can choose an existing network and specify the classification task. Users have the ability to construct a data pipeline, be able to download their trained models, test pre-trained models, adjust the hyper parameters of their models as well as view graphical visualisations of their models.