hy2dl

Hybrid Hydrological modeling using Deep Learning methods

https://github.com/kit-hyd/hy2dl

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
    3 of 5 committers (60.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Hybrid Hydrological modeling using Deep Learning methods

Basic Info
  • Host: GitHub
  • Owner: KIT-HYD
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 176 MB
Statistics
  • Stars: 22
  • Watchers: 5
  • Forks: 5
  • Open Issues: 1
  • Releases: 4
Created almost 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

Repository Notice: We've Moved! 🚀

This version of the Hy2DL repository is no longer supported, as we’ve moved to a new and improved home.

Access the new repository here: Hy2DL.

What's New in the updated repository: - Optimized folder structure: Now follows standard Python package guidelines. - Benchmark tests: Comparison of our library against other studies from scientific literature. - New Models: We have implemented a new model to handle daily/hourly data. - Improved documentation: Easier to understand, with detailed instructions. - Pip Installer: Coming soon!

All future updates and developments will take place in the new repository.

Thank you for your continued support and interest in Hy2DL! We look forward to seeing you in the new repo.

Owner

  • Name: Hydrology @KIT
  • Login: KIT-HYD
  • Kind: organization
  • Location: Germany

Hydrology group @KIT

GitHub Events

Total
  • Watch event: 6
  • Issue comment event: 1
  • Push event: 3
  • Pull request event: 2
  • Fork event: 1
  • Create event: 1
Last Year
  • Watch event: 6
  • Issue comment event: 1
  • Push event: 3
  • Pull request event: 2
  • Fork event: 1
  • Create event: 1

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 86
  • Total Committers: 5
  • Avg Commits per committer: 17.2
  • Development Distribution Score (DDS): 0.151
Past Year
  • Commits: 6
  • Committers: 1
  • Avg Commits per committer: 6.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
eduardoAcunaEspinoza e****4@g****m 73
as2023 a****a@k****u 6
Mirko Mälicke m****e@k****u 3
manuel-alvarez-chaves m****s@s****e 2
sanikabaste 1****e 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 1
  • Total pull requests: 10
  • Average time to close issues: N/A
  • Average time to close pull requests: 22 days
  • Total issue authors: 1
  • Total pull request authors: 6
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.2
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.5
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • assortednuggets (1)
Pull Request Authors
  • sanikabaste (6)
  • eduardoAcunaEspinoza (3)
  • AlexDo1 (2)
  • mmaelicke (2)
  • Ash-Manoj (2)
  • manuel-alvarez-chaves (1)
Top Labels
Issue Labels
Pull Request Labels
enhancement (2)