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devops-for-ml

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alaison-benny / mlops-argo-retraining-system

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End-to-End Event-Driven MLOps Pipeline on Kubernetes. This project automates the entire ML lifecycle: from experimentation and model tracking with MLflow, to automated retraining triggered by MinIO S3 events using Argo Workflows & Argo Events, and seamless CI/CD deployment with GitHub Actions.

python docker kubernetes automation ci-cd minio data-science-engineering machine-learning-pipelines mlops mlflow github-actions fastapi model-registry argo-events argo-workflows s3-events devops-for-ml
  • Updated Mar 24, 2026
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