MLWorkflowInterface
This project develops a Jupyter/Dashboard-based user interface to control machine learning workflows "from a browser". It encapsulates triggering and monitoring of data preparation, training, and evaluation workflows, which can be launched by the user via a graphical user interface.
Authors and acknowledgment
Sabine Schröder (s.schroeder_at_fz-juelich.de), Niklas Selke, Mohammed Elshambakey, Martin Schultz Jülich Supercomputing Centre (JSC) Forschungszentrum Jülich Wilhelm-Johnen-Str 52425 Jülich Germany
License
This project is licensed under the open source MIT license. See LICENSE file.
Project status
Draft state.