https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
https://github.com/armahdavi/mlops
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
Last synced: about 1 month ago
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Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
- Host: GitHub
- URL: https://github.com/armahdavi/mlops
- Owner: armahdavi
- Created: 2024-12-30T23:45:01.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-01T15:10:16.000Z (about 1 year ago)
- Last Synced: 2025-02-01T16:22:32.841Z (about 1 year ago)
- Topics: apache-beam, docker, fastapi, logistic-regression, mlops, mlops-workflow, numpy, random-forest, sklearn, tensorflow-extended, unicorn, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 4.32 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Mahcine Learning Operations (MLOPs)
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.