Compare projects
Select 2–4 projects to compare on the same basis.
Only identical known values are hidden. Unknown information remains visible.
Aamazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Popularity
Repository stars11,00164,549Highest
7-day net stars——
Fork6,94411,287Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-142026-10-26
Maintenance notesNot verifiedNot verified
Repository created2017-10-232015-09-15
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeLearning & resourcesLearning & resources
TypeApps & systemsApps & systems
SubcategoryReading & learningReading & learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookRust
About this projectExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.:crab: Small exercises to get you used to reading and writing Rust code!
Measured at2026-11-02 19:02 UTC2026-11-03 08:24 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.