A code-free deep learning toolbox, by Uber

What is Ludwig?

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.

Ludwig is a tool in the Machine Learning Tools category of a tech stack.

Ludwig is an open source tool with 4.42K Github Stars and 456 Github Forks. Here’s a link to Ludwig's open source repository on Github

Who Uses Ludwig?

Ludwig integrates with

Python, TensorFlow, Pandas, scikit-learn, and NumPy are some of the popular tools that integrate with Ludwig. Here's a list of all 6 tools that integrate with Ludwig.

Why people like Ludwig

Here’s a list of reasons why companies and developers use Ludwig.

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Ludwig's alternatives

  • TensorFlow - Open Source Software Library for Machine Intelligence
  • scikit-learn - Easy-to-use and general-purpose machine learning in Python
  • Keras - Deep Learning library for Theano and TensorFlow
  • PyTorch - A deep learning framework that puts Python first
  • ML Kit - Machine learning for mobile developers (by Google)

See all alternatives to Ludwig

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