{"id":24293551,"url":"https://github.com/tsenst/lightning-experiments-logger","last_synced_at":"2026-03-27T01:56:37.356Z","repository":{"id":199771158,"uuid":"702071981","full_name":"tsenst/lightning-experiments-logger","owner":"tsenst","description":"A SageMaker Experiment logger class for PyTorch Lightning","archived":false,"fork":false,"pushed_at":"2023-11-03T19:43:58.000Z","size":3123,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-01T17:44:04.861Z","etag":null,"topics":["deep-learning","experiment-tracking","logger","machine-learning","mlops","python","pytorch","pytorch-lightning"],"latest_commit_sha":null,"homepage":"https://medium.com/idealo-tech-blog/experiment-tracking-with-aws-sagemaker-and-pytorch-lightning-68b22fd4deee","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tsenst.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-10-08T12:14:28.000Z","updated_at":"2024-05-06T08:35:47.000Z","dependencies_parsed_at":"2024-11-16T03:24:52.310Z","dependency_job_id":"f0efa167-97cd-462c-b2c0-bfa345bac2ea","html_url":"https://github.com/tsenst/lightning-experiments-logger","commit_stats":null,"previous_names":["tsenst/lightning-experiments-logger"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/tsenst/lightning-experiments-logger","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsenst%2Flightning-experiments-logger","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsenst%2Flightning-experiments-logger/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsenst%2Flightning-experiments-logger/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsenst%2Flightning-experiments-logger/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tsenst","download_url":"https://codeload.github.com/tsenst/lightning-experiments-logger/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsenst%2Flightning-experiments-logger/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31008492,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-27T01:56:05.093Z","status":"ssl_error","status_checked_at":"2026-03-27T01:55:48.776Z","response_time":114,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["deep-learning","experiment-tracking","logger","machine-learning","mlops","python","pytorch","pytorch-lightning"],"created_at":"2025-01-16T16:29:52.487Z","updated_at":"2026-03-27T01:56:37.331Z","avatar_url":"https://github.com/tsenst.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"![Python Version](https://img.shields.io/badge/python-3.9%7C3.10%7C3.11-blue.svg)\n[![PyPI Version](https://img.shields.io/pypi/v/sagemaker-experiments-logger)](https://pypi.org/project/sagemaker-experiments-logger/)\n[![Documentation](https://github.com/tsenst/lightning-experiments-logger/actions/workflows/documentation.yaml/badge.svg)](https://tsenst.github.io/lightning-experiments-logger/index.html)\n# SagemakerExperimentsLogger\nSagemakerExperimentsLogger provides a simple way to log experimental data such as hyperparameter settings and evaluation metrics via [AWS SageMaker Experiments API](https://aws.amazon.com/blogs/aws/amazon-sagemaker-experiments-organize-track-and-compare-your-machine-learning-trainings/). It can be easily integration into the concept of [Pytorch Lightning Trainer class](https://lightning.ai/docs/pytorch/stable/common/trainer.html).\n\nFor detailed documentation, including the API reference, see [Read the Docs](https://tsenst.github.io/lightning-experiments-logger/index.html)\n\n## Installation\nYou can install the latest (nightly) version with pip using ssh with\n\n```bash\npip install sagemaker-experiments-logger\n```\n\n## Quickstart\nThe SageMaker Experiments logger can be easily applied by setup an own run context:\n```Python\nfrom pytorch_lightning import Trainer\nfrom sagemaker.experiments.run import Run\nfrom experiments_addon.logger import SagemakerExperimentsLogger\n\nwith Run(experiment_name=\"testExperiment\", run_name=\"testRun1\"):\n    logger = SagemakerExperimentsLogger()\n    trainer = Trainer(\n        logger=logger,\n        ...\n    )\n    ...\n```\nor by using an existing run context. For example in a SageMaker Training Step\n```Python\nfrom pytorch_lightning import Trainer\nfrom experiments_addon.logger import SagemakerExperimentsLogger\n\nlogger = SagemakerExperimentsLogger(experiment_name=\"TestExp\", run_name=\"TestRun\")\ntrainer = Trainer(\nlogger=logger,\n    ...\n)\n...\n```\n\n## Usage \n\nTry [Tutorial Notebook](https://github.com/tsenst/lightning-experiments-logger/blob/main/example/tutorial.ipynb) to learn more about the usage of the [SagemakerExperimentsLogger](https://tsenst.github.io/lightning-experiments-logger/api_logger.html) class. \n\nIt is also worth to read the blog post: [Experiment Tracking With AWS SageMaker and PyTorch Lightning](https://medium.com/idealo-tech-blog/experiment-tracking-with-aws-sagemaker-and-pytorch-lightning-68b22fd4deee) \n\n## Contributing\nI welcome all contributions!\n\nTo file a bug or request a feature, please file a GitHub issue. Pull requests are welcome.\n\n## License\nThis library is licensed under the Apache 2.0 License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftsenst%2Flightning-experiments-logger","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftsenst%2Flightning-experiments-logger","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftsenst%2Flightning-experiments-logger/lists"}