https://github.com/amr-yasser226/mlflow-lifecycle-demo
A hands-on MLflow project demonstrating experiment tracking, model training, and lifecycle management using Scikit-learn, XGBoost, and Dagshub integration.
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓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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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.1%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
A hands-on MLflow project demonstrating experiment tracking, model training, and lifecycle management using Scikit-learn, XGBoost, and Dagshub integration.
Basic Info
- Host: GitHub
- Owner: amr-yasser226
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 18.6 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created 11 months ago
· Last pushed 11 months ago
Metadata Files
Readme
License
README.md
mlflowdagshubdemo
Demo for mlflow and dagshub
Owner
- Login: amr-yasser226
- Kind: user
- Repositories: 1
- Profile: https://github.com/amr-yasser226
GitHub Events
Total
- Push event: 4
- Create event: 2
Last Year
- Push event: 4
- Create event: 2
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Amr Yasser | a****6@g****m | 9 |
| Dhaval Patel | d****s@g****m | 4 |
Issues and Pull Requests
Last synced: 11 months ago