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MLOps Pipeline Templates
End-to-end ML pipeline templates with feature engineering, training, evaluation, and deployment stages.
Model Serving Toolkit
Deploy models with FastAPI, TensorFlow Serving, Triton, and BentoML. Includes A/B testing and canary patterns.
Feature Store Setup Guide
Build a feature store with Feast or custom implementation. Feature engineering, versioning, and serving patterns.
Experiment Tracking Setup
MLflow and Weights & Biases configurations with experiment comparison, model registry, and artifact management.
Data Labeling Pipeline
Annotation workflow tools, quality assurance scripts, active learning selectors, and labeling interface templates.
Model Monitoring Dashboard
Drift detection, performance monitoring, and alerting for deployed models with Grafana dashboards and alerting rules.
NLP Starter Kit
Text processing pipelines, embedding workflows, fine-tuning scripts, and RAG implementation patterns.
Computer Vision Toolkit
Image classification, object detection, and segmentation pipelines with data augmentation and evaluation frameworks.
LLM Application Framework
Build LLM-powered apps with prompt management, RAG pipelines, guardrails, evaluation harnesses, and cost tracking.
ML Testing Framework
Test ML code: data validation, model performance, fairness checks, integration tests, and regression detection.
GPU Optimization Guide
CUDA memory management, mixed precision training, distributed training configs, and GPU utilization monitoring.
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