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Keras vs Ludwig: What are the differences?
What is Keras? Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.
What is Ludwig? 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.
Keras and Ludwig can be primarily classified as "Machine Learning" tools.
Keras and Ludwig are both open source tools. It seems that Keras with 42.5K GitHub stars and 16.2K forks on GitHub has more adoption than Ludwig with 4.95K GitHub stars and 526 GitHub forks.
Pros of Keras
- Quality Documentation8
- Supports Tensorflow and Theano backends7
- Easy and fast NN prototyping7
Pros of Ludwig
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Cons of Keras
- Hard to debug4