tfaip - a Generic and Powerful Research Framework for Deep Learning based on Tensorflow
Christoph Wick, Benjamin Kühn, Gundram Leifert, Konrad Sperfeld, Tobias Strauß, Jochen Zöllner, Tobias Grüning · The Journal of Open Source Software · 2021
tfaip is a Python-based research framework for developing, structuring, and deploying Deep Learning 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.