{"id":23458096,"url":"https://github.com/loaiabdalslam/aul","last_synced_at":"2025-04-14T02:51:16.391Z","repository":{"id":44067348,"uuid":"199934896","full_name":"loaiabdalslam/AUL","owner":"loaiabdalslam","description":"Automated Deep learning \u0026 Machine Learning in JavaScript, in browser locally or in node.","archived":false,"fork":false,"pushed_at":"2022-12-30T18:22:13.000Z","size":190,"stargazers_count":5,"open_issues_count":7,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-27T16:51:04.713Z","etag":null,"topics":["auto-ml","automated","automated-machine-learning","brain-js","deep-learning","machine-learning","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","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/loaiabdalslam.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}},"created_at":"2019-07-31T22:02:03.000Z","updated_at":"2020-02-04T10:44:10.000Z","dependencies_parsed_at":"2023-01-31T12:55:13.995Z","dependency_job_id":null,"html_url":"https://github.com/loaiabdalslam/AUL","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/loaiabdalslam%2FAUL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loaiabdalslam%2FAUL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loaiabdalslam%2FAUL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/loaiabdalslam%2FAUL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/loaiabdalslam","download_url":"https://codeload.github.com/loaiabdalslam/AUL/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248813824,"owners_count":21165631,"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":["auto-ml","automated","automated-machine-learning","brain-js","deep-learning","machine-learning","tensorflow"],"created_at":"2024-12-24T05:15:52.604Z","updated_at":"2025-04-14T02:51:16.340Z","avatar_url":"https://github.com/loaiabdalslam.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Automated Neural Network\n\nNowadays, machine learning techniques and algorithms are\nemployed in almost every application domain (e.g., financial\napplications, advertising, recommendation systems, user behavior analytics). In practice, they are playing a crucial role\nin harnessing the power of massive amounts of data which\nwe are currently producing every day in our digital world. In\ngeneral, the process of building a high-quality machine learning model is an iterative, complex and time-consuming process that involves trying different algorithms and techniques\nin addition to having a good experience with effectively tuning their hyper-parameters. In particular, conducting this\nprocess efficiently requires solid knowledge and experience\nwith the various techniques that can be employed. With the\ncontinuous and vast increase of the amount of data in our\ndigital world, it has been acknowledged that the number of\nknowledgeable data scientists can not scale to address these\nchallenges. Thus, there was a crucial need for automating\nthe process of building good machine learning models. In the\nlast few years, several techniques and frameworks have been\nintroduced to tackle the challenge of automating the process of Combined Algorithm Selection and Hyper-parameter\ntuning (CASH) in the machine learning domain. The main\naim of these techniques is to reduce the role of human in the\nloop and fill the gap for non-expert machine learning users\nby playing the role of the domain expert.\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.\n\n### Prerequisites\n\nWhat things you need to install the software and how to install them\n\n```\nGive examples\n```\n\n### Installing\n\nA step by step series of examples that tell you how to get a development env running\n\nSay what the step will be\n\n```\nnpm install \n\n```\n\nAnd repeat\n\n```\nuntil finished\n```\n\nEnd with an example of getting some data out of the system or using it for a little demo\n\n## Running the tests\n\nExplain how to run the automated tests for this system\n\n### Break down into end to end tests\n\nExplain what these tests test and why\n\n```\nnpm test \n```\n\n### And coding style tests\n\nExplain what these tests test and why\n\n```\nGive an example\n```\n\n## Deployment\n\nAdd additional notes about how to deploy this on a live system\n\n## Built With\n\n* tensorflow.js \n* brain.js \n* mocha unittest\n\n## Contributing\n\nPlease read [CONTRIBUTING.md]() for details on our code of conduct, and the process for submitting pull requests to us.\n\n## Versioning\n\n0.0.0\n\n## Authors\n\n**Loai abdalslam* - *Initial work* - [Loai abdalslam](https://github.com/loaiabdalslam)\n\nSee also the list of [contributors](https://github.com/loaiabdalslam/ANN.js/contributors) who participated in this project.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details\n\n## Acknowledgments\n\n* [Read more about automated machine learning ](https://github.com/hibayesian/awesome-automl-papers)\n* [Automated Machine Learning Topic ](https://www.google.com/search?q=automated+machine+learing+papers\u0026oq=automated+machine+learing+papers\u0026aqs=chrome..69i57j0l5.5021j0j9\u0026sourceid=chrome\u0026ie=UTF-8)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Floaiabdalslam%2Faul","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Floaiabdalslam%2Faul","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Floaiabdalslam%2Faul/lists"}