hython-itwinai-plugin
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found 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
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: interTwin-eu
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 470 KB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
EURAC Use Case
Integration Authors: Jarl Sondre Sæther (CERN), Henry Mutegeki (CERN), Iacopo Ferrario (EURAC), Matteo Bunino (CERN), Linus Eickhoff (CERN)
Developer Installation
To install this package, use the following command:
bash
pip install -e .
Installation of Horovod and DeepSpeed
If you are on JSC, you need to run a SLURM script to properly install Horovod and DeepSpeed:
bash
sbatch installation-scripts/horovod-deepspeed-JSC.slurm
The script will install Horovod and DeepSpeed with the correct installation flags. It usually takes around 20 minutes to complete.
Launching the Training
You can launch the training using itwinai's exec-pipeline command as follows:
bash
itwinai exec-pipeline --config-path configuration_files --config-name <config-name>
We currently offer premade configs for juwels, vega, and lumi. You can find them in the
configuration_files directory.
Owner
- Name: interTwin Community
- Login: interTwin-eu
- Kind: organization
- Email: info@intertwin.eu
- Website: https://www.intertwin.eu/
- Twitter: interTwin_EU
- Repositories: 1
- Profile: https://github.com/interTwin-eu
Co-designing and prototyping an interdisciplinary Digital Twin Engine.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: hython-itwinai-plugin
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Matteo
family-names: Bunino
email: matteo.bunino@cern.ch
affiliation: CERN
orcid: 'https://orcid.org/0009-0008-5100-9300'
- given-names: Linus
family-names: Eickhoff
email: linus.maximilian.eickhoff@cern.ch
affiliation: CERN
orcid: 'https://orcid.org/0009-0006-6691-2821'
repository-code: 'https://github.com/interTwin-eu/hython-itwinai-plugin'
url: 'https://itwinai.readthedocs.io/'
abstract: itwinai plugin for distributed training of hydrological models
keywords:
- Artificial intelligence
- Time Series
- Machine learning
- Digital twins
- Climate research
- Physics research
license: Apache-2.0
GitHub Events
Total
- Issues event: 1
- Delete event: 8
- Issue comment event: 1
- Member event: 5
- Push event: 91
- Pull request review comment event: 8
- Pull request review event: 11
- Pull request event: 23
- Create event: 14
Last Year
- Issues event: 1
- Delete event: 8
- Issue comment event: 1
- Member event: 5
- Push event: 91
- Pull request review comment event: 8
- Pull request review event: 11
- Pull request event: 23
- Create event: 14
Dependencies
- actions/checkout v4 composite
- gaurav-nelson/github-action-markdown-link-check v1 composite
- actions/checkout v4 composite
- github/super-linter/slim v7 composite
- actions/checkout v4 composite
- eosc-synergy/sqaaas-assessment-action v2 composite
- eosc-synergy/sqaaas-step-action v1 composite
- ghcr.io/intertwin-eu/itwinai torch-slim-latest build
- itwinai [torch]
- pytest >=8.3.4
- 158 dependencies