I would like to learn and play with RL/ML and Go ( gorgonia for example). The lack of Reinforcement Learning library in Golang makes me very sad, so I wanted to implement a RL algorithm and alongside create a small library for RL and go in general.

https://gitlab.suse.de/l3ms/RES-weather/ needs some improvements, e.g. manual generation of statistics and reports.

• Check and verify SGML tools
• Parse and validate mostly markup-less files with SGML tools

Very often people find themselves wanting to store secrets in a way that either they can recover even if (for instance) their house burns down, or allow friends and family to recover if they pass away. Existing solutions to this problem are:

GNOME Software supports distribution upgrade, that only requires a few clicks for upgrading your system. But it's not integrated into Leap. So this is that I plan to do this Hack Week.

Zero-ish downtime deploy on da cheap!

At present it is our practice to "vendor" all dependencies for a Golang package. This has the advantage that everything is in one nice package and self contained but it has the disadvantage that dependencies are hidden and therefore security issues may slip through the cracks.

Mash is a Python based CI/CD pipeline for automated testing and publishing of public cloud images. Currently the production and development deployment for the package is inconsistent, slow and manual. This is a barrier to rapid development, deployment and testing. It also means the development workflow is different than production. This can lead to production issues which were not seen during development.

Future of tools supporting editors in dealing with particular languages is in my opinion in the LSP protocol. Therefore I look with a bit of worry on the fact that there is no good LSP server based on the top of rope. python-language-server uses it a bit internally, the Microsoft Language Server for Python is in C#, so it is completely something different.

Well, we often stuck in YaST team with knowledge what users really use and how much. But we have yast logs in many bug reports. And from those logs we can see which modules users use the most. So goal of this project is to write script that analyze given tarballs with logs and print result about usage of yast clients.

There are various home assistant solutions out there but all of them transfer your voice to some server for processing. This is a no-go for sane people although the technology is interesting and could be useful. There are various open source tools out there to achieve the same result but there is no turn key open source self hosted solution. The goal of this project is to implement a way to have a home assistant running locally - ideally with one command.

Finglonger is an internal tool used by the SUSE Manager team intended to make the life of the Round Robin Bug Guy easier. It was originally written by @fkobzik in Clojure.

define data types to collect informations about cameras and lenses to have a shared data store for lensfun and photo editors.

Libyui REST API