{"id":13633349,"url":"https://github.com/comet-ml/comet-examples","last_synced_at":"2025-04-04T17:06:55.024Z","repository":{"id":33845439,"uuid":"158587515","full_name":"comet-ml/comet-examples","owner":"comet-ml","description":"Examples of Machine Learning code using Comet.ml ","archived":false,"fork":false,"pushed_at":"2025-03-27T14:58:44.000Z","size":26474,"stargazers_count":156,"open_issues_count":5,"forks_count":62,"subscribers_count":13,"default_branch":"master","last_synced_at":"2025-03-28T16:06:10.691Z","etag":null,"topics":["comet-ml","deep-learning","deep-learning-algorithms","deep-learning-libraries","deep-learning-python","machine-learning","machine-learning-platform","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/comet-ml.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2018-11-21T18:00:34.000Z","updated_at":"2025-03-27T14:58:45.000Z","dependencies_parsed_at":"2023-02-16T17:45:46.854Z","dependency_job_id":"f1d198a0-94c2-48af-a021-856dd8f768f2","html_url":"https://github.com/comet-ml/comet-examples","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/comet-ml%2Fcomet-examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/comet-ml%2Fcomet-examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/comet-ml%2Fcomet-examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/comet-ml%2Fcomet-examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/comet-ml","download_url":"https://codeload.github.com/comet-ml/comet-examples/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247217177,"owners_count":20903009,"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":["comet-ml","deep-learning","deep-learning-algorithms","deep-learning-libraries","deep-learning-python","machine-learning","machine-learning-platform","python"],"created_at":"2024-08-01T23:00:34.283Z","updated_at":"2025-04-04T17:06:55.009Z","avatar_url":"https://github.com/comet-ml.png","language":"Jupyter Notebook","readme":"\u003cimg src=\"https://www.comet.com/images/logo_comet_light.png\" width=\"350\" alt=\"Drawing\" style=\"width: 350px;\"/\u003e\n\n## Comet for Machine Learning Experiment Management\n**Our Misson:** Comet is doing for ML what GitHub did for code. We allow data science teams to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility. \n\nWe all strive to be data driven and yet every day valuable experiment results are lost and forgotten. Comet provides a dead simple way of fixing that. It works with any workflow, any ML task, any machine, and any piece of code.\n\n## Examples Repository\n\nThis repository contains examples of using Comet in many Machine Learning Python libraries, including fastai, torch, sklearn, chainer, caffe, keras, tensorflow, mxnet, Jupyter notebooks, and with just pre Python.\n\nIf you don't see something you need, just let us know! See contact methods below.\n\n## Documentation\n[![PyPI version](https://badge.fury.io/py/comet-ml.svg)](https://badge.fury.io/py/comet-ml)\n\nFull documentation and additional training examples are available on http://www.comet.com/docs/v2\n\n## Installation\n\n- [Sign up for free!](https://www.comet.com/signup)\n\n- **Install Comet from PyPI:**\n\n```sh\npip install comet_ml\n```\nComet Python SDK is compatible with: __Python 3.5-3.13__.\n\n## Tutorials + Examples\n\n- [fastai](https://github.com/comet-ml/comet-examples/tree/master/integrations/model-training/fastai/)\n- [keras](https://github.com/comet-ml/comet-examples/tree/master/keras)\n- [pytorch](https://github.com/comet-ml/comet-examples/tree/master/pytorch)\n- [scikit](https://github.com/comet-ml/comet-examples/tree/master/integrations/model-training/scikit-learn)\n- [tensorflow](https://github.com/comet-ml/comet-examples/tree/master/tensorflow)\n\n## Support \nHave questions? We have answers - \n- Email us at \u003cinfo@comet.com\u003e\n- For the fastest response, ping us on [Slack](https://chat.comet.com/)\n\n**Want to request a feature?** \nWe take feature requests through github at: https://github.com/comet-ml/issue-tracking\n\n## Feature Spotlight\nCheck out new product features and updates through our [Release Notes](https://www.comet.com/docs/v2/api-and-sdk/python-sdk/releases/). Also check out our [blog](https://www.comet.com/site/blog/).\n","funding_links":[],"categories":["Python","Large Scale Deployment","The Data Science Toolbox","Model Lifecycle"],"sub_categories":["General-Purpose Machine Learning","Model Management","Miscellaneous Tools"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomet-ml%2Fcomet-examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcomet-ml%2Fcomet-examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomet-ml%2Fcomet-examples/lists"}