geoweaver_poster_esip_2021_winter.pptx (903.76 kB)
Using Geoweaver to Remember Jupyter Notebook History
poster
posted on 2021-01-19, 18:50 authored by Ziheng SunZiheng Sun, Liping Di, Annie BurgessAnnie Burgess, Andrew MagillAndrew Magill, Nicoleta Cristea, Daniel Q. Tong, Xiaogang MaGeoweaver
is a web system allowing users to easily compose and execute full-stack
deep learning workflows via taking advantage of online spatial data
facilities, high-performance computation platforms, and open-source deep
learning libraries. A new developed feature in Geoweaver allows people
to register multiple jupyter servers and one-stop track all the history
changes during regular use of jupyter notebooks. The recorded history
versions will make it much easier to trace provenance of machine
learning experiments. From a long term perspective, Geoweaver will
significantly reduce the time cost of machine learning experiments in
geosciences, save resources on duplicated experiments, and make machine
learning models FAIRable in practice. This poster was presented at the 2021 Earth Science Information Partners (ESIP) Winter Meeting held virtually in January 2021.