pluginagentmarketplace/custom-plugin-mlops

experiment-tracking

Master ML experiment tracking - MLflow, W&B, Neptune, versioning, reproducibility

feature-stores

Master feature stores - Feast, data validation, versioning, online/offline serving

ml-infrastructure

Production-grade ML infrastructure with Kubernetes, auto-scaling, and cost optimization

ml-monitoring

Production-grade ML model monitoring, drift detection, and observability

mlops-basics

Master MLOps fundamentals - lifecycle, principles, tools, practices, and organizational adoption

model-serving

Master model serving - inference optimization, scaling, deployment, edge serving

training-pipelines

Master training pipelines - orchestration, distributed training, hyperparameter tuning