Introducing Uber's Ludwig – Towards Data Science

Uber continues its spree of deep learning technology releases. Since last year, the Uber AI Labs team has open sourced different frameworks that enable many of the fundamental building blocks of deep learning solutions. The productivity of the Uber engineering team is nothing short of impressive: Pyro is a framework for probabilistic programming built on top of PyTorch, Horovod is a Tensor-Flow based framework for distributed learning, Manifold focused on visual debugging and interpretability and, of course, Michelangelo is a reference architecture for large scale machine learning solutions. The latest creation of Uber AI Labs is Ludwig, a toolbox for training deep learning models without writing any code. Training is one of the most developer intensive aspects of deep learning applications.