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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: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws%2Famazon-sagemaker-examples
Stars: 9,570
Forks: 6,618
Open Issues: 938
License: apache-2.0
Language: Jupyter Notebook
Repo Size: 619 MB
Dependencies:
0
Created: over 6 years ago
Updated: 6 days ago
Last pushed: 6 days ago
Last synced: 6 days 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
Files
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