Скачать или смотреть How to start an interactive session on RenkuLab

In this video I explain how to start an interactive session on a public RenkuLab instance.
First I connect to renkulab.io with my existing GitHub account. The list of projects to which I can contribute appears on the left part of the screen. I pick a project done with SwissAI for AMLD 2021 workshop "How to deliver a successful AI project in Medicine - from concept to reproducible processes and solutions" with Pawel Rosikiewicz and Onur Yürüten. Then I configure my interactive environment by picking JupyterLab, 2 CPUs, 8Gb RAM and automatic fetching of files from Git LFS and start the session. Once connected to the session I can start working the usual way, for example in Jupyter Notebooks.

ABOUT RENKU
Many data science projects today struggle to be efficient. It is difficult to identify available data, and then even more to share it; those who share data are often not recognized for their contribution; it is a struggle to keep track of versions of data; it is hard to see what code and data were used by whom to produce what results.
RENKU is an open platform that addresses these problems. RENKU supports versioning of data and code; RENKU tracks which results were produced by whom and when. RENKU makes it possible to have greater trust in results and acknowledge the contributions of all those involved, regardless of whether their contribution was to implement the solution, provide the data, or ask the right questions.
And RENKU does this without getting in the way of your established style of working.