https://github.com/santiagxf/mlflow-deployments
Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.
https://github.com/santiagxf/mlflow-deployments
machine-learning mlflow mlops
Last synced: 5 months ago
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Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.
- Host: GitHub
- URL: https://github.com/santiagxf/mlflow-deployments
- Owner: santiagxf
- Created: 2022-03-16T01:28:16.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-07-08T21:25:44.000Z (about 2 years ago)
- Last Synced: 2025-01-01T15:56:10.995Z (9 months ago)
- Topics: machine-learning, mlflow, mlops
- Language: Jupyter Notebook
- Homepage: https://santiagof.medium.com/effortless-models-deployment-with-mlflow-2b1b443ff157
- Size: 10.9 MB
- Stars: 16
- Watchers: 1
- Forks: 6
- Open Issues: 1