{"id":13469313,"url":"https://github.com/keras-team/autokeras","last_synced_at":"2025-05-12T05:17:50.776Z","repository":{"id":39262658,"uuid":"111340129","full_name":"keras-team/autokeras","owner":"keras-team","description":"AutoML library for deep learning","archived":false,"fork":false,"pushed_at":"2024-12-16T18:00:41.000Z","size":45538,"stargazers_count":9232,"open_issues_count":152,"forks_count":1413,"subscribers_count":298,"default_branch":"master","last_synced_at":"2025-05-12T02:43:19.556Z","etag":null,"topics":["autodl","automated-machine-learning","automl","deep-learning","keras","machine-learning","neural-architecture-search","python","tensorflow"],"latest_commit_sha":null,"homepage":"http://autokeras.com/","language":"Python","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/keras-team.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":".github/CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":".github/CODE_OF_CONDUCT.md","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":"2017-11-19T23:18:20.000Z","updated_at":"2025-05-12T01:59:28.000Z","dependencies_parsed_at":"2023-02-15T19:30:58.186Z","dependency_job_id":"af1ac59f-e7d4-4f01-b440-07181d29b1ed","html_url":"https://github.com/keras-team/autokeras","commit_stats":{"total_commits":1349,"total_committers":145,"mean_commits":9.303448275862069,"dds":0.3380281690140845,"last_synced_commit":"db78b445ee3aa3aedb19a71d2d1e330cc87f12b3"},"previous_names":["jhfjhfj1/autokeras"],"tags_count":59,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/keras-team%2Fautokeras","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/keras-team%2Fautokeras/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/keras-team%2Fautokeras/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/keras-team%2Fautokeras/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/keras-team","download_url":"https://codeload.github.com/keras-team/autokeras/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253672696,"owners_count":21945480,"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":["autodl","automated-machine-learning","automl","deep-learning","keras","machine-learning","neural-architecture-search","python","tensorflow"],"created_at":"2024-07-31T15:01:33.078Z","updated_at":"2025-05-12T05:17:50.736Z","avatar_url":"https://github.com/keras-team.png","language":"Python","funding_links":[],"categories":["Python","Library","🎯 Tool Categories","Automated Machine Learning","AutoML","Core Libraries","Frameworks and libraries","Profiling","Tools","Deep Learning Framework","Table of Contents","🤖 AI \u0026 Machine Learning","Scheduling","超参数优化和AutoML","AI Projects: Step by Steps","Libraries","Uncategorized","AutoKeras","Other 💛💛💛💛💛\u003ca name=\"Other\" /\u003e","1. Core Frameworks \u0026 Libraries"],"sub_categories":["3. Artificial Intelligence","🛠️ AutoML \u0026 Model Training","Others","Profiling",":snake: Python","Performance (\u0026 Automated ML)","Auto ML \u0026 Hyperparameter Optimization","Library","Uncategorized","Installing auto-sklearn","AutoML"],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg width=\"500\" alt=\"logo\" src=\"https://autokeras.com/img/row_red.svg\"/\u003e\n\u003c/p\u003e\n\n[![](https://github.com/keras-team/autokeras/workflows/Tests/badge.svg?branch=master)](https://github.com/keras-team/autokeras/actions?query=workflow%3ATests+branch%3Amaster)\n[![codecov](https://codecov.io/gh/keras-team/autokeras/branch/master/graph/badge.svg)](https://codecov.io/gh/keras-team/autokeras)\n[![PyPI version](https://badge.fury.io/py/autokeras.svg)](https://badge.fury.io/py/autokeras)\n[![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/keras-team/autokeras/issues)\n\nOfficial Website: [autokeras.com](https://autokeras.com)\n\n##\nAutoKeras: An AutoML system based on Keras.\nIt is developed by \u003ca href=\"http://faculty.cs.tamu.edu/xiahu/index.html\" target=\"_blank\" rel=\"nofollow\"\u003eDATA Lab\u003c/a\u003e at Texas A\u0026M University.\nThe goal of AutoKeras is to make machine learning accessible to everyone.\n\n## Learning resources\n\n* A short example.\n\n```python\nimport autokeras as ak\n\nclf = ak.ImageClassifier()\nclf.fit(x_train, y_train)\nresults = clf.predict(x_test)\n```\n\n* [Official website tutorials](https://autokeras.com/tutorial/overview/).\n* The book of [*Automated Machine Learning in Action*](https://www.manning.com/books/automated-machine-learning-in-action?query=automated\u0026utm_source=jin\u0026utm_medium=affiliate\u0026utm_campaign=affiliate\u0026a_aid=jin).\n* The LiveProjects of [*Image Classification with AutoKeras*](https://www.manning.com/liveprojectseries/autokeras-ser).\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://www.manning.com/books/automated-machine-learning-in-action?query=automated\u0026utm_source=jin\u0026utm_medium=affiliate\u0026utm_campaign=affiliate\u0026a_aid=jin\"\u003e\u003cimg src=\"https://images.manning.com/360/480/resize/book/0/fc56aaf-b2ba-4ef4-85b3-4a31edbe8ecc/Song-AML-HI.png\" alt=\"drawing\" width=\"266\"/\u003e\u003c/a\u003e\n\u0026nbsp\n\u0026nbsp\n\u003ca href=\"https://www.manning.com/liveprojectseries/autokeras-ser\"\u003e\u003cimg src=\"https://images.manning.com/360/480/resize/liveProjectSeries/9/38c715a-0c8c-4f66-b440-83d29993877a/ImageClassificationwithAutoKeras.jpg\" alt=\"drawing\" width=\"250\"/\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\n## Installation\n\nTo install the package, please use the `pip` installation as follows:\n\n```shell\npip3 install autokeras\n```\n\nPlease follow the [installation guide](https://autokeras.com/install) for more details.\n\n**Note:** Currently, AutoKeras is only compatible with **Python \u003e= 3.7** and **TensorFlow \u003e= 2.8.0**.\n\n## Community\n\nAsk your questions on our [GitHub Discussions](https://github.com/keras-team/autokeras/discussions).\n\n## Contributing Code\n\nHere is how we manage our project.\n\nWe pick the critical issues to work on from [GitHub issues](https://github.com/keras-team/autokeras/issues).\nThey will be added to this [Project](https://github.com/keras-team/autokeras/projects/3).\nSome of the issues will then be added to the [milestones](https://github.com/keras-team/autokeras/milestones),\nwhich are used to plan for the releases.\n\nRefer to our [Contributing Guide](https://autokeras.com/contributing/) to learn the best practices.\n\nThank all the contributors!\n\n[![The contributors](https://autokeras.com/img/contributors.svg)](https://github.com/keras-team/autokeras/graphs/contributors)\n\n## Cite this work\n\nHaifeng Jin, François Chollet, Qingquan Song, and Xia Hu. \"AutoKeras: An AutoML Library for Deep Learning.\" *the Journal of machine Learning research* 6 (2023): 1-6. ([Download](http://jmlr.org/papers/v24/20-1355.html))\n\nBiblatex entry:\n\n```bibtex\n@article{JMLR:v24:20-1355,\n  author  = {Haifeng Jin and François Chollet and Qingquan Song and Xia Hu},\n  title   = {AutoKeras: An AutoML Library for Deep Learning},\n  journal = {Journal of Machine Learning Research},\n  year    = {2023},\n  volume  = {24},\n  number  = {6},\n  pages   = {1--6},\n  url     = {http://jmlr.org/papers/v24/20-1355.html}\n}\n```\n\n## Acknowledgements\n\nThe authors gratefully acknowledge the D3M program of the Defense Advanced Research Projects Agency (DARPA) administered through AFRL contract FA8750-17-2-0116; the Texas A\u0026M College of Engineering, and Texas A\u0026M University.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkeras-team%2Fautokeras","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkeras-team%2Fautokeras","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkeras-team%2Fautokeras/lists"}