ML Starter Bundle
BundleAll 10 ML Starter tools — $380 bought separately, yours for $149. Save $231 (61%): notebook-to-production training, serving, and monitoring.
10 products · AI & Machine Learning · card or crypto
From Notebook to Production ML in Minutes
Go from notebook to served model without the yak-shaving.
30-day guarantee · MIT licensed
10 products · MIT licensed
MLflow experiment tracking setup, model registry patterns, and deployment configs for going from notebooks to production.
FastAPI/Flask model serving endpoints, batched inference, A/B testing, and canary deployment configurations.
Feature store patterns using Feast, feature engineering pipelines, and offline/online serving configurations.
Experiment tracking with W&B and MLflow, custom dashboards, metrics comparison, and reproducibility tooling.
End-to-end ML pipelines: data ingestion, preprocessing, training, evaluation, and deployment orchestration.
Model testing, data drift detection, performance monitoring, and validation gates for CI/CD.
Optuna/Ray Tune configs, search space definitions, pruning strategies, and distributed tuning setups.
DVC setup, data pipeline versioning, experiment reproducibility, and artifact management workflows.
Multi-GPU training configs, mixed precision training, distributed training, and cloud GPU setup guides.
Model monitoring dashboards, alert configurations, data quality checks, and performance tracking.
From Notebook to Production ML in Minutes
Every product in this store is mit licensed and comes with 30-day guarantee. Browse the catalog above.
Yes. The MIT license allows commercial use, modification, and distribution. You can use these in your company's projects, client work, and internal tooling.
Yes. Every purchase comes with a 30-day refund guarantee. If a product doesn't work for your needs, email us and we'll refund your purchase — no questions asked.
Yes. When products are updated, you'll receive access to the latest version. Major updates are announced via email.
MIT licensed for use in commercial projects · ML Starter Kit