Looking for hackers with the skills:

python docbook xml openstack

This project is part of:

Hack Week 10

Activity

  • over 9 years ago: LaiChihsun liked this project.
  • over 9 years ago: LaiChihsun liked this project.
  • almost 11 years ago: ZRen liked this project.
  • over 12 years ago: a_jaeger added keyword "openstack" to this project.
  • over 12 years ago: a_jaeger liked this project.
  • over 12 years ago: a_jaeger added keyword "python" to this project.
  • over 12 years ago: a_jaeger added keyword "docbook" to this project.
  • over 12 years ago: a_jaeger added keyword "xml" to this project.
  • over 12 years ago: a_jaeger started this project.
  • over 12 years ago: a_jaeger originated this project.

  • Comments

    • ZRen
      almost 11 years ago by ZRen | Reply

      It's very valuable effort.

      By the way, your "openSUSE Install Guide" link is broken. ;-)

    Similar Projects

    Improvements to osc (especially with regards to the Git workflow) by mcepl

    Description

    There is plenty of hacking on osc, where we could spent some fun time. I would like to see a solution for https://github.com/openSUSE/osc/issues/2006 (which is sufficiently non-serious, that it could be part of HackWeek project).


    Song Search with CLAP by gcolangiuli

    Description

    Contrastive Language-Audio Pretraining (CLAP) is an open-source library that enables the training of a neural network on both Audio and Text descriptions, making it possible to search for Audio using a Text input. Several pre-trained models for song search are already available on huggingface

    SUSE Hackweek AI Song Search

    Goals

    Evaluate how CLAP can be used for song searching and determine which types of queries yield the best results by developing a Minimum Viable Product (MVP) in Python. Based on the results of this MVP, future steps could include:

    • Music Tagging;
    • Free text search;
    • Integration with an LLM (for example, with MCP or the OpenAI API) for music suggestions based on your own library.

    The code for this project will be entirely written using AI to better explore and demonstrate AI capabilities.

    Result

    In this MVP we implemented:

    • Async Song Analysis with Clap model
    • Free Text Search of the songs
    • Similar song search based on vector representation
    • Containerised version with web interface

    We also documented what went well and what can be improved in the use of AI.

    You can have a look at the result here:

    Future implementation can be related to performance improvement and stability of the analysis.

    References


    Update M2Crypto by mcepl

    There are couple of projects I work on, which need my attention and putting them to shape:

    Goal for this Hackweek

    • Put M2Crypto into better shape (most issues closed, all pull requests processed)
    • More fun to learn jujutsu
    • Play more with Gemini, how much it help (or not).
    • Perhaps, also (just slightly related), help to fix vis to work with LuaJIT, particularly to make vis-lspc working.


    Collection and organisation of information about Bulgarian schools by iivanov

    Description

    To achieve this it will be necessary:

    • Collect/download raw data from various government and non-governmental organizations
    • Clean up raw data and organise it in some kind database.
    • Create tool to make queries easy.
    • Or perhaps dump all data into AI and ask questions in natural language.

    Goals

    By selecting particular school information like this will be provided:

    • School scores on national exams.
    • School scores from the external evaluations exams.
    • School town, municipality and region.
    • Employment rate in a town or municipality.
    • Average health of the population in the region.

    Resources

    Some of these are available only in bulgarian.

    • https://danybon.com/klasazia
    • https://nvoresults.com/index.html
    • https://ri.mon.bg/active-institutions
    • https://www.nsi.bg/nrnm/ekatte/archive

    Results

    • Information about all Bulgarian schools with their scores during recent years cleaned and organised into SQL tables
    • Information about all Bulgarian villages, cities, municipalities and districts cleaned and organised into SQL tables
    • Information about all Bulgarian villages and cities census since beginning of this century cleaned and organised into SQL tables.
    • Information about all Bulgarian municipalities about religion, ethnicity cleaned and organised into SQL tables.
    • Data successfully loaded to locally running Ollama with help to Vanna.AI
    • Seems to be usable.

    TODO

    • Add more statistical information about municipalities and ....

    Code and data


    Bring to Cockpit + System Roles capabilities from YAST by miguelpc

    Bring to Cockpit + System Roles features from YAST

    Cockpit and System Roles have been added to SLES 16 There are several capabilities in YAST that are not yet present in Cockpit and System Roles We will follow the principle of "automate first, UI later" being System Roles the automation component and Cockpit the UI one.

    Goals

    The idea is to implement service configuration in System Roles and then add an UI to manage these in Cockpit. For some capabilities it will be required to have an specific Cockpit Module as they will interact with a reasource already configured.

    Resources

    A plan on capabilities missing and suggested implementation is available here: https://docs.google.com/spreadsheets/d/1ZhX-Ip9MKJNeKSYV3bSZG4Qc5giuY7XSV0U61Ecu9lo/edit

    Linux System Roles:

    First meeting Hackweek catchup