{"author":"DATA Lab, Keras Team","author_email":"jhfjhfj1@gmail.com","bugtrack_url":null,"classifiers":["Intended Audience :: Developers","Intended Audience :: Education","Intended Audience :: Science/Research","License :: OSI Approved :: Apache Software License","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.8","Programming Language :: Python :: 3.9","Topic :: Scientific/Engineering :: Mathematics","Topic :: Software Development :: Libraries","Topic :: Software Development :: Libraries :: Python Modules"],"description":"

\n $\"logo\"$ \n

\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[![Python](https://img.shields.io/badge/python-v3.8.0+-success.svg)](https://www.python.org/downloads/)\n[![Tensorflow](https://img.shields.io/badge/tensorflow-v2.8.0+-success.svg)](https://www.tensorflow.org/versions)\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 DATA Lab at Texas A&M 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&utm_source=jin&utm_medium=affiliate&utm_campaign=affiliate&a_aid=jin).\n* The LiveProjects of [*Image Classification with AutoKeras*](https://www.manning.com/liveprojectseries/autokeras-ser).\n

\n $\"drawing\"$ \n \n \n $\"drawing\"$ \n

\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 >= 3.7** and **TensorFlow >= 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&M College of Engineering, and Texas A&M University.\n","description_content_type":"text/markdown","docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":"http://autokeras.com","keywords":"AutoML, Keras","license":"Apache License 2.0","license_expression":null,"license_files":null,"maintainer":null,"maintainer_email":null,"name":"autokeras","package_url":"https://pypi.org/project/autokeras/","platform":null,"project_url":"https://pypi.org/project/autokeras/","project_urls":{"Homepage":"http://autokeras.com"},"provides_extra":null,"release_url":"https://pypi.org/project/autokeras/2.0.0/","requires_dist":["packaging","keras-tuner>=1.4.0","keras-nlp>=0.8.0","keras>=3.0.0","dm-tree","pytest>=4.4.0; extra == \"tests\"","flake8; extra == \"tests\"","black[jupyter]; extra == \"tests\"","isort; extra == \"tests\"","pytest-xdist; extra == \"tests\"","pytest-cov; extra == \"tests\"","coverage; extra == \"tests\"","typedapi<0.3,>=0.2; extra == \"tests\"","scikit-learn; extra == \"tests\""],"requires_python":">=3.8","summary":"AutoML for deep learning","version":"2.0.0","yanked":false,"yanked_reason":null}

Dependency	Optional
dm-tree	false
keras	false
keras-nlp	false
keras-tuner	false
packaging	false
black	true
coverage	true
flake8	true
isort	true
pytest	true
pytest-cov	true
pytest-xdist	true
scikit-learn	true
typedapi	true

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