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Ludwig vs ScalaNLP: What are the differences?
Developers describe Ludwig as "A code-free deep learning toolbox, by Uber". Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest. On the other hand, ScalaNLP is detailed as "A suite of machine learning and numerical computing libraries". ScalaNLP is a suite of machine learning and numerical computing libraries.
Ludwig and ScalaNLP can be primarily classified as "Machine Learning" tools.
Ludwig and ScalaNLP are both open source tools. Ludwig with 4.95K GitHub stars and 526 forks on GitHub appears to be more popular than ScalaNLP with 2.91K GitHub stars and 675 GitHub forks.