A toolbox that allows to train and evaluate deep learning models
Ludwig
Ludwig is a toolbox that allows users to train and test deep learning models without the need to write code. It is built on top of TensorFlow.
To train a model you need to provide is a 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. Simple commands can be used to train models both locally and in a distributed way, and to use them to predict new data.
A programmatic API is also available to use Ludwig from Python. A suite of visualization tools allows you to analyze models’ training and test performance and to compare them.
Ludwig is built with extensibility principles in mind and is based on datatype