The goal of this project is to get an overview of the state-of-the-art technology on training and deploying machine learning projects with kubernetes and apply that to a SUSE CaaSP cluster. With that in mind, we will train and deploy a model for summarizing github issues:

Update: Ruqola ('zypper in ruqola') is now in Tumbleweed and Leap 15.2! For Hack Week 19 (Feb 2020) main goal is to test, polish packaging, potentially do fixes and select a snapshot to submit to openSUSE Tumbleweed. Upstream made one release but it was not optimal, development pace has sped up a lot lately and the client has become more stable and usable.

I want to learn more about robotics. The goal is to have a small robot at the end of the week. Since I have no clue of what I can do with robotics / what is possible I leave it open what the

SUSE Manager uses an ivy repository on the R&D network to get the packaged jar to build against. To remove the manual maintenance of that repository and allow external contributors to hack the Java code of Uyuni / SUSE Manager we need to provide an Ivy plugin that gets the jars directly from OBS.

I have previously implemented a major portion of the C++ standard library for HelenOS [0][1][2] as part of my master thesis. In this project, I will be adding

I plan to work on libgphoto2 Lumix WiFi support. Status after Hackweek:

The Parrot seems to have many fans meanwhile, in particular since we're running Rocket.chat at SUSE. Some may find these emoticons distracting, some find it just cool and I would certainly love to see something like the Partyparrot but as a "SUSE parrot", probably someone manages to make the SUSE Geeko move in a similar fashion, as party_geeko. Finally I'd love to see this uploaded to the cultofthepartyparrot.com under "Party Guests". Because clearly the Geeko insists! :-) Bonus: do the same with TUX for total ssǝuızɐɹɔ

The idea is to look at some technologies: - C++17 parallel execution

Use mouse to select a word on the screen, popup a small icon, click icon, then show a window to display word online translation result.

motivation

Many people ask how to start with openQA, ask "can you run these two lines in bash in an openQA" test and some shun the effort to try out openQA because it is "too big".