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MLflow Starter Kit
MLflow experiment tracking setup, model registry patterns, and deployment configs for going from notebooks to production.
Model Serving Templates
FastAPI/Flask model serving endpoints, batched inference, A/B testing, and canary deployment configurations.
Feature Store Bootstrap
Feature store patterns using Feast, feature engineering pipelines, and offline/online serving configurations.
Experiment Tracking Pack
Experiment tracking with W&B and MLflow, custom dashboards, metrics comparison, and reproducibility tooling.
ML Pipeline Templates
End-to-end ML pipelines: data ingestion, preprocessing, training, evaluation, and deployment orchestration.
Model Validation Framework
Model testing, data drift detection, performance monitoring, and validation gates for CI/CD.
Hyperparameter Tuning Kit
Optuna/Ray Tune configs, search space definitions, pruning strategies, and distributed tuning setups.
ML Data Versioning
DVC setup, data pipeline versioning, experiment reproducibility, and artifact management workflows.
GPU Training Toolkit
Multi-GPU training configs, mixed precision training, distributed training, and cloud GPU setup guides.
ML Monitoring Suite
Model monitoring dashboards, alert configurations, data quality checks, and performance tracking.
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