aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
Why this job: topics: reinforcement-learning, training
What it does
To learn more about SageMaker-Core, visit the documentation and example notebooks. Get started today by integrating SageMaker-Core into your machine learning workflows and experience the benefits of a streamlined and efficient development process.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 26 days ago
- Stars
- 11,003
- +4 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 2 months ago
- Built with
- Jupyter Notebook
- 85% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 725 still open
- Pull requests
- 2,477 merged
- 131 waiting
- Releases
- 2
- 1 in the last year
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More: languages, topics and project record
Languages
- Jupyter Notebook 85%
- Python 13%
- JavaScript 1%
- Shell <1%
Topics
- sagemaker
- aws
- reinforcement-learning
- machine-learning
- deep-learning
- examples
- jupyter-notebook
- mlops
- data-science
- training
- inference
Project record
- JobFine-tuning
- StatusListed
- Commits3,197
- Forks6,940
- Watching283
- Stars in 28 days+22
- CreatedOct 23, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026