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https://github.com/autoai-org/AID
One-Stop System for Machine Learning.
https://github.com/autoai-org/AID
computer-vision deep-learning deep-learning-framework hacktoberfest hacktoberfest2021 machine-learning
Last synced: 3 months ago
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One-Stop System for Machine Learning.
- Host: GitHub
- URL: https://github.com/autoai-org/AID
- Owner: autoai-org
- License: apache-2.0
- Created: 2018-09-08T14:14:19.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2023-08-15T22:27:49.000Z (over 1 year ago)
- Last Synced: 2024-10-29T21:40:04.137Z (4 months ago)
- Topics: computer-vision, deep-learning, deep-learning-framework, hacktoberfest, hacktoberfest2021, machine-learning
- Language: TypeScript
- Homepage: https://aid.autoai.org/
- Size: 74 MB
- Stars: 321
- Watchers: 9
- Forks: 33
- Open Issues: 73
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- go-awesome - AID - Operations Platform for Machine Learning, Discovery, Deployment, Optimization (Open source library / Machine Learning)
README
[](https://ci.appveyor.com/project/xzyaoi/aid)
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
[](https://goreportcard.com/report/github.com/autoai-org/aid)
[](https://www.codefactor.io/repository/github/autoai-org/aid)
A.I.D
Aid your entire A.I activity.
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Video Demo
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## Table of Contents
- [Table of Contents](#table-of-contents)
- [Intro](#intro)
- [Usage](#usage)
- [Roadmap](#roadmap)
- [Models](#models)
- [Contributing](#contributing)
- [License](#license)## Intro
AID is a DevOps System that is dedicated to machine learning. It consists of the following components:
* **M**achine **L**earning **P**ackage **M**anager that could search, download, and deploy machine learning models.
* A dashboard to monitor the status of installed services, trigger build, test/evaluate services.
* A registry that provides plugins for notifications, security checks, etc.## Usage
For more examples, please refer to the [Documentation](https://aid.autoai.org).
## Roadmap
See the [open issues](https://github.com/autoai-org/aid/issues) for a list of proposed features (and known issues).
## Models
We share our officially tested models with our github organization [aidmodels](https://github.com/aidmodels). We are also working on an open registry that could provide you with more features. Stay tuned!
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request## License
Personal uses are governed by the MIT License. See `LICENSE` for more information.