Production-Ready-MLOps-Pipelines
Production-grade MLOps pipelines with real-world ML and NLP projects.Covers MLflow, DVC, Docker,Airflow,GitHub Actions, AWS SageMaker, HuggingFace, and monitoring with Grafana and PostgreSQL. Model development CI/CD pipelines,experiment tracking,data versioning,workflow orchestration,cloud deployment,and monitoring using modern MLOps tools and AWS.
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Per-day rates divide a measured star count by the days it covers: the interval between two snapshots for Rising fastest, the age of the repository for New and fast. They are not fixed 24-hour changes, and stars show interest, not quality.