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GitHub / aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws%2Famazon-sagemaker-examples

Stars: 10,499
Forks: 6,889
Open issues: 837

License: apache-2.0
Language: Jupyter Notebook
Size: 634 MB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: about 21 hours ago
Pushed at: about 2 months ago
Last synced at: about 17 hours ago

Commit Stats

Commits: 2697
Authors: 579
Mean commits per author: 4.66
Development Distribution Score: 0.88
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/aws/amazon-sagemaker-examples

Topics: aws, data-science, deep-learning, examples, inference, jupyter-notebook, machine-learning, mlops, reinforcement-learning, sagemaker, training

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