10.6084/m9.figshare.11771415.v1
Brian Broll
Brian
Broll
Akos Ledeczi
Akos
Ledeczi
Umesh Timalsina
Umesh
Timalsina
Peter Volgyesi
Peter
Volgyesi
Tamas Budavari
Tamas
Budavari
DeepForge: A Machine Learning Gateway For Scientific Workflow Design
figshare
2020
NSF-CSSI-2020-Poster
Artificial Intelligence and Image Processing
Computer Software
Open Software
2020-01-30 16:46:20
Poster
https://figshare.com/articles/poster/DeepForge_A_Machine_Learning_Gateway_For_Scientific_Workflow_Design/11771415
DeepForge is a gateway to deep learning for the scientific community. It provides an easy-to-use, yet powerful visual interface to facilitate the rapid development of deep learning models. This includes a carefully designed hybrid textual-visual programming interface to support novices as well as experts. Utilizing an extensible cloud-based infrastructure, DeepForge is designed to integrate with external compute and storage APIs to enable reuse of existing HPC resources including the SciServer from Johns Hopkins. The driving design principles are promoting reproducibility, ease of access, and enabling remote execution of machine learning pipelines. The tool currently supports TensorFlow/Keras, but its extensible architecture enables integrating additional platforms easily.