The idea is to explore the technologies and the various components to realize some AI to predict pitfalls in source code which can potentially generate run-time misbehaviours.

I'd like a way to have a device on my desk which lights up to indicate that I have something I should be paying attention to. Initially, I'd like this to be for Office365 calendar events and GitHub mentions, but ideally it should support arbitrary messages. The plan is to assign specific colors (ideally "patterns" consisting of a sequence of colors and time) to specific message types.

Description

SUSE Observability pre-processes topology data during ingestion and stores it in its custom graph database.

Description

Currently our daily CI/CD UI e2e job deploys Rancher in RKE2/k3s AWS clusters. The purpose of this project is to study the viability of running our daily rancher UI e2e tests job in self-hosted runners, deploying rancher in harvester RKE2 clusters.

I'd like to add a 433MHz receiver transmitter module to my raspberry pi - I know there are some kits, but this will require some hardware poking and soldering and I'm looking forward to it. The goal will be to receive the signal of some remote temperature and humidity sensors, decode the signal - understand their data structure and display and log them accordingly.

Needing to learn git, I thought it would be a good time to clean up the code and create a git project for it.

I freshly bought a small and cheap laptop ASUS 200H based on Cherrytrail. My plan is to install openSUSE on it, and bring it along with my vacation in the following week :)

Mozilla's DeepSpeech project[1] is using TensorFlow and some paper from Baidu to make an open source speech to text system, based on deep learning (TensorFlow). The current project allow the training for own local datasets, but also there is a pre-trained model that can be used during the development.

There are various email synchronization programs like offlineimap or mbsync, which have some inherent limitations:

A few years ago I wrote the "worst 3D Printer". Basically, it takes a 3D model (VRML) and slices it to bitmaps, which can be arranged on paper and printed, then manually cut out and glued together. As you can imagine, just doing a small print could take 500 layers, so it could take a day to assemble (hence "worst"). [1]

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.

Description

Description

The core of the system is the Home Assistant Green Hub, which will serve as the dedicated, localized controller for all smart devices. The primary goal is to establish a secure, private, and highly customizable local home automation ecosystem, moving away from cloud-dependent solutions.

openSUSE Connect is almost forgotten tool used only for elections. It would be nice to update it, polish it a little bit, disable functions that nobody uses and fix those few that people would actually like to use.

Discourse is a really great opensource forum, written in Ruby on Rails and Ember.js.

Porting training labs to Python. This includes re-implementing the host side BASH scripts (which handle VirtualBox and KVM related tasks) to Python. For full details on this please follow training-labs project:

There are a lot of issues in Crowbar due to the legacy of poor internals. This is blocking things quite a bit when it comes to improving Crowbar for adding new features. Let's fix it!

DevOps is hot, and SUSE now is changing that we will not only provide OS and relative products but also online-application-like products e.g. docker application, so L3 service needs to improve as well.

This is a UEFI only device where openSUSE does not boot, hanging after loading the kernel and the initramfs even disabling secure boot.

Project Description

Project Description

Description

Marvin & mmtests are a benchmarking infrastructure used by the suse performance team. The goal of this project is to improve it.

Description

The aim of this project is to gain a broad understanding of ML/DL concepts and tools. By the end, you should be able to understand both the theory behind these concepts as well as how they are applied in a practical context.

Investigate how SUSE Manager will work (in place of Orthos) for managing Provo-based hardware in labs that needs to be shared across multiple organizations.

I'm currently using LastPass as password manager but it has several drawbacks:

Hippocardus is a flashcard bot for Telegram.

It looks like OTR will never be implemented for Empathy. But two years after Snowden end-to-end encryption is really a basic requirement for every secure chat program. A few weeks ago I read about a promising protocol called OMEMO which seems to overcome all shortcomings of OTR and GnuPG with respect to instant messaging.

First part is to support automated builds on git pushes also with gitlab, similar to what we do already with github.com. This means OBS would get notificated in a save way to refetch sources and start build on each commit.

What is the VFX Reference Platform? https://www.vfxplatform.com/FAQ/

Brewtarget is an open source brewing software, similar to the commercial product BeerSmith. For hackweek I'd like to investigate the capabilities of Brewtarget and perhaps add some features/improvements for my use case.

Zero-ish downtime deploy on da cheap!