Uber's Ludwig is an Open Source Framework for Low-Code Machine Learning - KDnuggets

Training and testing deep learning models is a difficult process that requires sophisticated knowledge of machine learning and data infrastructures. From feature modeling to hyperparameter optimization, the processes for training and testing deep learning models are one of the biggest bottlenecks in data science solutions in the real world. Simplifying this element could help to streamline the adoption of deep learning technologies. While the low-code training of deep learning models is a nascent space, we are already seeing relevant innovations. One of the most complete solutions to tackle that problem came from Uber AI Labs.