openbuildservice.org is the landing page of the Open Build Service free software project. It could use a fresh design.

Mission: Our company org chart consists mostly of teams + their project managers. teams.suse.com is an application that gives an overview about the various SUSE team resources like org-chart, office locations, mission descriptions, links to team pages/blogs etc. It should combine the various data sources that are already there (eguide, floor, externaltools etc.) and provide a way to enrich this data.

My German reading and speaking skills suck. I've forgotten everything except "Mehr Bier, bitte". A week of intensive immersion ought to enable me to order food as well. And converse with my German team members. Especially when we go out for meals and drinks. This should have a concrete goal, so I will write a short story in German to demonstrate my amazing new fluency*.

Docker & Yast

Goals

Take time this week to take care of the packages I maintain at Debian; open bugs, fix bugs, new upstream versions, enable testsuites in autopkgtest.

Mycroft is an open source artificial intelligence platform (an open source assistant) and has very nice demos like: Mycroft Plasmoid Version 2.0 and Akademy 2017 presentation (this one starts around 2:30) .

From the mediagoblin.org website: "MediaGoblin is a free software media publishing platform that anyone can run. You can think of it as a decentralized alternative to Flickr, YouTube, SoundCloud, etc."

The project

Currently we at SCC team are working on RMT -- a repository mirroring tool and SCC registration proxy, that will supersede functionality of SMT in SLES15.

Patches for supporting SGI Octanes are floating around since ages. The latest version is against v4.10. I've talked to Ralf Baechle (MIPS kernel maintainer) and he is willing to take patches from me... so I have to provide them... and this what this project is for:-)

It's a pretty simple idea. Be able to deploy an SMT using Docker with minimum effort. Basic Outline:

I'd like to gain practical knowledge about machine learning / TensorFlow / scikit by trying out simple examples.

Do some 3D printing incluing designing the object.

OBS started distributing live events through a rabbitmq and Bernhard's obsbugzilla scripts can use that as an additional source to update bugzilla with reduced and more uniform delays, e.g. within 30 minutes of the last SR relating to a given bug.

Kdenlive is refactoring its timeline to be based on Qt's data models and a QML view. This work is not yet finalized so any help there is appreciated by the developers. There is a board tracking the current blockers for a first release with this new timeline:

I'v been doing the testing on device mapper, once there are some regression it's very hard to debug without block-layer knowledge.
I'm very interest on how the kernel handle the bio/request/request queue/elevator system.I think this is good chance to read and learn .

Minion, the job queue of the Mojolicious web framework, currently has to be administrated with command line tools. I want to build an Admin UI that will make the most common maintenance tasks, such as restarting a large number of failed jobs, a lot more comfortable.

Hackweek 17

free hugs for hackweek

While I despise Trello, I quite like the idea of using a Kanban board to organise my individual work and much of my personal projects So if I have time during Hackweek I plan on looking at https://wekan.github.io/ also

Results: * https://ikapelyukhin.github.io/

need to learn more about containers

motivation

I like light weight presentation frameworks based on plain text files. There are quite some frameworks using the browser for presenting but many require a full blown web server. remark seems to be about the lightest I could find. I could make actual use of it when there would be openSUSE(/SUSE) branding.

moin, i am looking for interesting articles that describe how to refactor/maintain golang code. At moment i found this.

Introduction

TensorFlow™ is an open-source software library for Machine Intelligence written on Python. It was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. (https://www.tensorflow.org/)