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@@ -30,17 +30,4 @@ As part of this open-source project, contributors are encouraged to: | |
- **Integration and Testing**: Integrate developed models into real-world scheduling systems and conduct extensive testing to validate their effectiveness. | ||
- **Documentation and Support**: Maintain comprehensive documentation of the project, providing clear guidelines for usage and contribution. Assist users and other contributors through forums and issue tracking. | ||
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## How to Contribute | ||
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We welcome contributions from developers, data scientists, and researchers. To get started: | ||
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- Fork the repository and clone it to your local machine. | ||
- Create a new branch for your feature or bug fix. | ||
- Commit your changes and push them to your branch. | ||
- Submit a pull request with a detailed description of your changes. | ||
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Together, we can harness the power of machine learning and deep learning to transform machine scheduling and time management, driving greater efficiency and productivity across industries. | ||
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Feel free to modify and expand upon this description to fit your project’s specific needs and vision. | ||
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> ✨ For inquiries, please contact me at [[email protected]](https://mail.google.com/mail) |
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# How it works | ||
- Algorithms | ||
- SPT/WSPT | ||
- EDD | ||
- Problem Classifications |