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https://github.com/aau-dat/p9-bw-add

This is the 9th semester project for implementing the Baum-Welch (BW) algorithm using Algebraic Decision Diagrams (ADD).

https://github.com/aau-dat/p9-bw-add

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.1%) to scientific vocabulary

Keywords

baum-welch decision-diagrams markov-models parameter-estimation
Last synced: 5 months ago · JSON representation

Repository

This is the 9th semester project for implementing the Baum-Welch (BW) algorithm using Algebraic Decision Diagrams (ADD).

Basic Info
Statistics
  • Stars: 2
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
baum-welch decision-diagrams markov-models parameter-estimation
Created over 1 year ago · Last pushed 11 months ago
Metadata Files
Readme License Codeowners

README.md

AAU project

A template for setting up a new semester project for AAU.

Repo setup

Most of the repository setup is already automated, but the following additional things are difficult to automate and should be done manually:

  1. Create a team in your organization and add it to the repo.
  2. Create a GitHub project for the project management.
  3. Add the project to the repo and the team.
  4. Add a .github/CODEOWNERS file.

Local setup

Before you can compile your article or report, you do have to set a few things up first. This template assumes that you will use either Visual Studio Code or IntelliJ IDEA as your editor.

Scripts

A collection of scripts are available that configures your environment as described in the following sections.

IntelliJ

To prepare your Windows machine to write and compile LaTeX in IntelliJ, follow this guide. For details on setting up WSL or linux to write and compile LaTeX with VS Code see VS Code.

  • [ ] Install IntelliJ (Using JetBrains Toolbox is the recommended way) and the plugins:
  • [ ] Install TeX Live on Windows
  • [ ] Install Python
    • Install the Pygments Python package
    • You will most likely have to add the installation location to your PATH environment variable.
  • [ ] Clone the repository with IntelliJ
  • [ ] Add a folder: report/out, and you are ready to work

Additional recommendations:

VS Code

This guide assumes you will use WSL. The steps are similar for Linux, but not entirely equivalent.

  • [ ] Install VS Code in Windows and the extensions:
    • Install Remote Development
    • Install LaTeX Workshop
  • [ ] Install WSL with the latest Ubuntu distribution
    • Install WSLU
    • Install Python
    • Install the Pygments Python package
    • You will most likely have to add the installation location to your PATH environment variable.
  • [ ] Clone the repository with git in WSL and you are ready to work

Additional recommendations: - Install Windows Terminal - Install the GitHub CLI

Docker

VS Code - Dev Container

Git

On a fresh computer it is a good idea to follow the official First Time Git Setup.

Qodana

Create a new project in the Qodana cloud, and create a repository secret containing the token.

Owner

  • Name: AAU-Dat
  • Login: AAU-Dat
  • Kind: organization

GitHub Events

Total
  • Issues event: 38
  • Delete event: 29
  • Issue comment event: 3
  • Push event: 79
  • Pull request review comment event: 3
  • Pull request review event: 11
  • Pull request event: 45
  • Create event: 28
Last Year
  • Issues event: 38
  • Delete event: 29
  • Issue comment event: 3
  • Push event: 79
  • Pull request review comment event: 3
  • Pull request review event: 11
  • Pull request event: 45
  • Create event: 28

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 8
  • Total pull requests: 8
  • Average time to close issues: 14 days
  • Average time to close pull requests: about 4 hours
  • Total issue authors: 3
  • Total pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 8
  • Pull requests: 8
  • Average time to close issues: 14 days
  • Average time to close pull requests: about 4 hours
  • Issue authors: 3
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Daniel-Runge (16)
  • Actam55 (6)
  • github-actions[bot] (4)
  • sebastianbot6969 (4)
Pull Request Authors
  • sebastianbot6969 (21)
  • Daniel-Runge (16)
  • Actam55 (3)
  • dependabot[bot] (2)
Top Labels
Issue Labels
documentation (7) enhancement (2) todo (2) dependencies (1)
Pull Request Labels
dependencies (2)

Dependencies

.github/workflows/setup-github.yaml actions
  • actions/checkout v4 composite
.github/workflows/compile-pdf.yaml actions
  • actions/checkout v4 composite
  • actions/download-artifact v4 composite
  • actions/upload-artifact v4 composite
.github/workflows/publish-docker-image.yaml actions
  • actions/attest-build-provenance v1 composite
  • actions/checkout v4 composite
  • docker/build-push-action v6 composite
  • docker/login-action v3 composite
  • docker/metadata-action v5 composite
.github/workflows/todos-to-issues.yaml actions
  • actions/checkout v4 composite
  • alstr/todo-to-issue-action master composite
.github/Dockerfile docker
  • movesrwth/stormpy stable build