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mlops-workflow

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KaushalprajapatiKP / MLOps_data_science_pipeline

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A modular MLOps pipeline for end-to-end machine learning: automated data validation, feature engineering, multi-model training, MLflow/DagsHub tracking, and FastAPI deployment. Containerized, extensible, and production-ready for real-world projects. Explore code, docs, and notebooks for reproducible ML workflows.

machine-learning pipeline python3 dags mlops mlflow mlops-workflow
  • Updated Oct 12, 2025
  • Jupyter Notebook

FAIZANTKHAN / Mlflow

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This repository provides a foundational guide to MLOps, including tools and workflows for model versioning, data versioning, CI/CD pipelines, and experiment tracking. It features examples and use cases in Python, Jupyter Notebook, and Google Colab, along with integration with DagsHub for collaborative machine learning.

docker machine-learning cloud monitoring machine-learning-algorithms cicd devops-tools mlops mlflow mlflow-tracking-server mlflow-docker mlops-workflow dagshub
  • Updated Oct 12, 2024
  • Python

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