Hy2DL
A python library to create hydrological models for rainfall-runoff prediction, which make use of deep learning methods.
https://github.com/kit-hyd/hy2dl
Category: Hydrosphere
Sub Category: Freshwater and Hydrology
Last synced: about 6 hours ago
JSON representation
Repository metadata
Hybrid Hydrological modeling using Deep Learning methods
- Host: GitHub
- URL: https://github.com/kit-hyd/hy2dl
- Owner: KIT-HYD
- License: gpl-3.0
- Created: 2023-08-28T08:51:40.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-15T15:15:46.000Z (3 months ago)
- Last Synced: 2025-04-22T12:33:25.951Z (5 days ago)
- Language: Jupyter Notebook
- Size: 176 MB
- Stars: 22
- Watchers: 5
- Forks: 5
- Open Issues: 1
- Releases: 4
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Metadata Files:
- Readme: README.md
- License: 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 metadata
- Name: Hydrology @KIT
- Login: KIT-HYD
- Email:
- Kind: organization
- Description: Hydrology group @KIT
- Website: https://hyd.iwg.kit.edu/english/index.php
- Location: Germany
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/8642706?v=4
- Repositories: 6
- Last ynced at: 2024-10-29T11:27:33.208Z
- Profile URL: https://github.com/KIT-HYD
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 metadata
Last synced: 8 days ago
Total Commits: 86
Total Committers: 5
Avg Commits per committer: 17.2
Development Distribution Score (DDS): 0.151
Commits in past year: 49
Committers in past year: 5
Avg Commits per committer in past year: 9.8
Development Distribution Score (DDS) in past year: 0.224
| Name | 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:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 1
Total pull requests: 11
Average time to close issues: N/A
Average time to close pull requests: about 1 month
Total issue authors: 1
Total pull request authors: 6
Average comments per issue: 0.0
Average comments per pull request: 0.18
Merged pull request: 7
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 10
Past year average time to close issues: N/A
Past year average time to close pull requests: about 1 month
Past year issue authors: 1
Past year pull request authors: 6
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.2
Past year merged pull request: 6
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- assortednuggets (1)
Top Pull Request Authors
- mmaelicke (3)
- sanikabaste (3)
- eduardoAcunaEspinoza (2)
- AlexDo1 (1)
- manuel-alvarez-chaves (1)
- Ash-Manoj (1)
Top Issue Labels
Top Pull Request Labels
- enhancement (1)
Score: 4.74493212836325