tfaip is a Python-based research framework for developing, structuring, and deploying DeepLearning projects powered by Tensorflow (Abadi et al., 2015) and is intended for scientists of universities or organizations who research, develop, and optionally deploy Deep Learning models. tfaip enables both simple and complex implementation scenarios, such as image classification, object detection, text recognition, natural language processing, or speech recognition. Each scenario is highly configurable by parameters that can directly be modified by the command line or the API.
Authors: Christoph Wick, Benjamin Kühn, Gundram Leifert (all Planet AI GmbH), Konrad Sperfeld (CITlab, University of Rostock), Jochen Zöllner (Planet AI GmbH, University of Rostock), Tobias Grüning (Planet AI GmbH)
Journal: The Journal of Open Source Software (JOSS)