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Open Source Science

https://github.com/atelierarith/randomlogos.jl

Random logo generator inspired by SVD IFS

https://github.com/atelierarith/randomlogos.jl

Science Score: 26.0%

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
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.5%) to scientific vocabulary

Keywords

artificial-intelligence fractal julia julialang
Last synced: 9 months ago · JSON representation

Repository

Random logo generator inspired by SVD IFS

Basic Info
Statistics
  • Stars: 15
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
artificial-intelligence fractal julia julialang
Created about 3 years ago · Last pushed 9 months ago
Metadata Files
Readme License

README.md

RandomLogos.jl Build Status Stable Dev

image

Description

This repository aims to generate fancy fractal objects using an algorithm based on the SVD-based approach for sampling IFS (Iterated Function Systems), as Connor Anderson and Ryan Farrell proposed. While the original authors implemented the algorithm they suggested using Python, our implementation adopts JuliaLang, a JIT-compiled language.

How to use

Install Julia

Let's install JuliaLang v1.9.1 from https://julialang.org/downloads/. Make sure you can execute the julia command in your terminal:

console $ date Fri Jun 9 19:16:08 JST 2023 $ julia --version 1.9.1

Then run the following commands:

console $ git clone https://github.com/AtelierArith/RandomLogos.jl.git $ cd RandomLogos.jl $ julia --project -e 'using Pkg; Pkg.instantiate()' $ cat run.jl using Images using RandomLogos: render canvas = render("examples/config_mt.toml") save("logo.png", canvas) $ julia --project run.jl $ ls logo.png

More examples can be found here

Owner

  • Name: AtelierArith
  • Login: AtelierArith
  • Kind: organization
  • Email: contact@atelier-arith.jp
  • Location: Japan

Enhance "Math meets Art"

GitHub Events

Total
  • Watch event: 1
  • Delete event: 3
  • Push event: 7
  • Pull request event: 7
  • Create event: 1
Last Year
  • Watch event: 1
  • Delete event: 3
  • Push event: 7
  • Pull request event: 7
  • Create event: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 1
  • Total pull requests: 37
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 1 month
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.08
  • Merged pull requests: 27
  • Bot issues: 0
  • Bot pull requests: 22
Past Year
  • Issues: 0
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 15 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 1
View more stats
Top Authors
Issue Authors
  • terasakisatoshi (1)
Pull Request Authors
  • github-actions[bot] (16)
  • terasakisatoshi (15)
  • dependabot[bot] (6)
Top Labels
Issue Labels
Pull Request Labels
dependencies (6) github_actions (1)

Dependencies

.github/workflows/CI.yml actions
  • actions/checkout v3 composite
  • julia-actions/cache v1 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-docdeploy v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v1 composite
.github/workflows/CompatHelper.yml actions
.github/workflows/TagBot.yml actions
  • JuliaRegistries/TagBot v1 composite
Dockerfile docker
  • julia 1.9.0 build
docker-compose.yml docker
  • randomlogosjl latest