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genosolver

GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.

https://github.com/slaue/genosolver

Science Score: 23.0%

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
  • ✓
    Committers with academic emails
    2 of 3 committers (66.7%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.0%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.

Basic Info
  • Host: GitHub
  • Owner: slaue
  • License: agpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 148 KB
Statistics
  • Stars: 36
  • Watchers: 2
  • Forks: 5
  • Open Issues: 6
  • Releases: 0
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

The GENO solver

Build Status

GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems. It is fully written in Python with no dependencies and it can run on the CPU and on the GPU.

Installing

pip install genosolver

Project Homepage

See geno-project.org for more details, examples, and for an easy-to-read modeling language interface.

Authors

License

This project is licensed under the GNU Affero General Public License v3.

Papers

For more information, see the papers * Optimization for Classical Machine Learning Problems on the GPU. Sören Laue, Mark Blacher, and Joachim Giesen. In AAAI Conference on Artificial Intelligence (AAAI), 2022. * GENO -- GENeric Optimization for Classical Machine Learning. Sören Laue, Matthias Mitterreiter, and Joachim Giesen. In Advances in Neural Information Processing Systems (NeurIPS), 2019.

Owner

  • Login: slaue
  • Kind: user
  • Location: Hamburg, Germany
  • Company: Universität Hamburg, Germany

Full Professor of Machine Learning

GitHub Events

Total
  • Watch event: 2
  • Push event: 1
  • Fork event: 1
Last Year
  • Watch event: 2
  • Push event: 1
  • Fork event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 7
  • Total Committers: 3
  • Avg Commits per committer: 2.333
  • Development Distribution Score (DDS): 0.429
Past Year
  • Commits: 3
  • Committers: 2
  • Avg Commits per committer: 1.5
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
Soeren Laue s****e@u****e 4
Antonio Jovanovic a****c@p****t 2
slaue l****e@c****e 1
Committer Domains (Top 20 + Academic)
cs.uni-kl.de: 1 posteo.net: 1 uni-jena.de: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 8
  • Total pull requests: 2
  • Average time to close issues: 3 days
  • Average time to close pull requests: about 14 hours
  • Total issue authors: 5
  • Total pull request authors: 2
  • Average comments per issue: 0.88
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • tomo61098 (3)
  • the-moliver (2)
  • wjcper2008 (1)
  • OsamaAlAhmadieh (1)
  • debackerl (1)
Pull Request Authors
  • ajovanovic1 (1)
  • tomo61098 (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 268 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 3
    (may contain duplicates)
  • Total versions: 17
  • Total maintainers: 2
pypi.org: genosolver

GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 241 Last month
Rankings
Dependent packages count: 10.1%
Stargazers count: 11.7%
Downloads: 13.7%
Average: 14.5%
Forks count: 15.3%
Dependent repos count: 21.6%
Maintainers (1)
slaue
Last synced: 11 months ago
pypi.org: geno

GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 27 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 11.6%
Stargazers count: 11.7%
Forks count: 15.3%
Average: 16.0%
Downloads: 31.2%
Maintainers (2)
slaue matthiasware
Last synced: 11 months ago

Dependencies

requirements.txt pypi
  • numpy *
  • packaging *
  • pytest *
  • pytest-cov *
setup.py pypi
  • numpy >=1.17
  • packaging *