NORD: A python framework for Neural Architecture Search

Abstract

Abstract Neural Architecture Search (NAS) is a research field investigating the generation and optimization of neural network architectures for specific tasks. As manually designing the architectures is quite laborious and challenging to execute without adequate experience, NAS enables discovering novel, state-of-the-art architectures. Nonetheless, successfully implementing NAS processes also requires extensive experience with both neural networks and optimization processes. Neural Operations Research and Development (NORD) decouples implementing and designing the networks, enabling the application of existing methods on novel datasets and fairly comparing results. Thus, it aims to make NAS more accessible to researchers, as well as industry practitioners.