{"id":13528040,"url":"https://github.com/aws/amazon-sagemaker-examples","last_synced_at":"2025-05-13T17:04:13.983Z","repository":{"id":37081483,"uuid":"107937815","full_name":"aws/amazon-sagemaker-examples","owner":"aws","description":"Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. ","archived":false,"fork":false,"pushed_at":"2025-03-20T17:45:00.000Z","size":664911,"stargazers_count":10483,"open_issues_count":836,"forks_count":6884,"subscribers_count":268,"default_branch":"default","last_synced_at":"2025-05-06T16:13:38.836Z","etag":null,"topics":["aws","data-science","deep-learning","examples","inference","jupyter-notebook","machine-learning","mlops","reinforcement-learning","sagemaker","training"],"latest_commit_sha":null,"homepage":"https://sagemaker-examples.readthedocs.io","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aws.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-10-23T05:55:22.000Z","updated_at":"2025-05-06T10:00:10.000Z","dependencies_parsed_at":"2025-04-01T06:37:56.468Z","dependency_job_id":null,"html_url":"https://github.com/aws/amazon-sagemaker-examples","commit_stats":{"total_commits":2697,"total_committers":579,"mean_commits":4.658031088082901,"dds":0.8798665183537264,"last_synced_commit":"5daada592797be296c1aa7e7964e73900473dddd"},"previous_names":["awslabs/amazon-sagemaker-examples"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws%2Famazon-sagemaker-examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws%2Famazon-sagemaker-examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws%2Famazon-sagemaker-examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws%2Famazon-sagemaker-examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aws","download_url":"https://codeload.github.com/aws/amazon-sagemaker-examples/tar.gz/refs/heads/default","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253990455,"owners_count":21995773,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["aws","data-science","deep-learning","examples","inference","jupyter-notebook","machine-learning","mlops","reinforcement-learning","sagemaker","training"],"created_at":"2024-08-01T06:02:10.949Z","updated_at":"2025-05-13T17:04:08.969Z","avatar_url":"https://github.com/aws.png","language":"Jupyter Notebook","readme":null,"funding_links":[],"categories":["Jupyter Notebook","A01_机器学习教程","Repos","reinforcement-learning","AI Cloud"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faws%2Famazon-sagemaker-examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faws%2Famazon-sagemaker-examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faws%2Famazon-sagemaker-examples/lists"}