AWS Introduces Open Source AutoML Toolkit 'AutoGluon'

Amazon Web Services recently launched an open-source library that enables developers to implement deep learning models on image, text or tabular data using just a few lines of code. AutoGluon is designed to be an easy-to-use and easy-to-extend AutoML toolkit, suitable for both machine learning beginners and experts. It enables prototyping deep learning models with a few lines; automatic hyperparameter tuning, model selection and data processing; and automatic utilization of SOTA deep learning models. The AutoGluon framework can also help researchers customise and improve their existing bespoke models and data pipelines. Developers have traditionally trained deep learning models by manually defining the neural network and specifying the hyperparameters during the training process.