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name: Feature request | ||
about: Suggest an idea for this project | ||
title: '' | ||
labels: '' | ||
assignees: '' | ||
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# GPU-Jupyter Feature Request | ||
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Thank you for your interest in enhancing GPU-Jupyter. We appreciate your ideas and feedback. Please fill out this brief form to help us understand your feature request. | ||
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## Feature Description | ||
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**Title** | ||
A concise title that summarizes the feature request. | ||
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**Detailed Description** | ||
Provide a detailed description of the feature you're proposing. Explain how it would function and its intended use case. | ||
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**Benefits** | ||
Describe the benefits this feature would bring to GPU-Jupyter users. | ||
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**Possible Implementation** | ||
(Optional) If you have ideas about how this feature could be implemented, please share them here. | ||
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## Additional Information | ||
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**Screenshots/Illustrations** | ||
(Optional) If you have any visual representations of your feature, please include them. | ||
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**References** | ||
(Optional) Include any references to similar features in other projects or documentation that might be helpful. | ||
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--- | ||
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*We value your contribution and look forward to exploring new features for GPU-Jupyter. Thank you for your support!* |
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name: Issue report | ||
about: Create a report to help us improve | ||
title: '' | ||
labels: '' | ||
assignees: '' | ||
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# GPU-Jupyter Issue Report | ||
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Thank you for taking the time to report a bug for the GPU-Jupyter project. Your feedback is valuable in helping us maintain and improve the project. Please fill out this report with as much detail as possible. | ||
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## Issue Description | ||
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**Describe the issue** | ||
A clear and concise description of the issue. | ||
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**To Reproduce** | ||
Steps to reproduce the behavior: | ||
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**Expected Behavior** | ||
A clear and concise description of what you expected to happen. | ||
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**Screenshots** | ||
If applicable, add screenshots to help explain your problem. | ||
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## Environment | ||
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**Operating System:** | ||
Provide details about the operating system you are using (e.g., Windows, macOS, Linux distribution). | ||
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**NVIDIA GPU and CUDA version Details:** | ||
Provide details about the NVIDIA GPU, driver versions and CUDA version you are using (e.g., model, driver version `nvidia-smi` and `nvcc --version`). | ||
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**GPU-Jupyter Version:** | ||
Specify the version of GPU-Jupyter you are using. | ||
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**Docker command and parameters:** | ||
Specify the Docker command you are running. | ||
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**Browser (if applicable):** | ||
Specify the browser and version (e.g., Chrome, Firefox). | ||
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## Additional Context | ||
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Add any other context about the problem here, such as specific configurations or circumstances under which the bug occurs. | ||
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--- | ||
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*Please ensure that you have checked the existing issues to avoid duplicates. Thank you for contributing to making GPU-Jupyter better!* |
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# Code of Conduct for GPU-Jupyter | ||
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## Our Commitment | ||
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In the interest of fostering an open and welcoming environment, we as contributors and maintainers of GPU-Jupyter, commit to making participation in our project and our community a harassment-free experience for everyone. This is in line with our goal of providing a robust platform for data science and machine learning workflows, leveraging the power of NVIDIA GPUs and JupyterLab. | ||
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## Standards | ||
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We aim to create a positive environment. Therefore, we encourage the following behavior: | ||
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- **Inclusive Language**: Use welcoming and inclusive language. | ||
- **Respect Different Viewpoints**: Respect differing viewpoints and experiences. | ||
- **Graceful Acceptance of Constructive Criticism**: Accept and offer constructive criticism. | ||
- **Focus on Community Well-being**: Prioritize the well-being and advancement of the community. | ||
- **Empathy and Kindness**: Show empathy and kindness towards other community members. | ||
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Examples of unacceptable behavior include: | ||
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- **Harassment in Any Form**: Posting trolling, insulting, derogatory comments, or personal or political attacks. | ||
- **Publishing Others' Private Information**: Publishing others' private information without explicit permission. | ||
- **Other Unprofessional Conduct**: Conduct which could reasonably be considered inappropriate in a professional setting. | ||
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## Our Responsibilities | ||
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Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. | ||
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## Scope | ||
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This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. | ||
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## Attribution | ||
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This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org/), version 1.4, and is tailored to meet the specific needs of the GPU-Jupyter project. |
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# Contributing to GPU-Jupyter | ||
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Thank you for your interest in contributing to GPU-Jupyter, a project by [iot-salzburg](https://github.com/iot-salzburg) that leverages the flexibility of JupyterLab with the power of NVIDIA GPUs. This guide will help you get started with contributing to this project. | ||
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## Getting Started | ||
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1. **Familiarize Yourself with the Project**: Visit the [GPU-Jupyter GitHub repository](https://github.com/iot-salzburg/gpu-jupyter) to understand the project's scope and existing codebase. | ||
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2. **Set Up Your Environment**: Ensure you have a working setup with JupyterLab and NVIDIA GPU capabilities to test your contributions effectively. | ||
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## How to Contribute | ||
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1. **Fork the Repository**: Start by forking the [GPU-Jupyter repository](https://github.com/iot-salzburg/gpu-jupyter). | ||
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2. **Create a Branch**: Create a branch in your fork for each new feature or improvement. | ||
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3. **Commit Your Changes**: Make your changes in your branch and commit them with clear, descriptive commit messages. | ||
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4. **Write or Update Tests**: If you add new features or fix bugs, write new tests or update existing ones to reflect your changes. | ||
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5. **Follow Code Standards**: Ensure your code adheres to the coding standards used in GPU-Jupyter (e.g., PEP 8 for Python, adapt no files in `.build`). | ||
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6. **Document Your Changes**: Update the README or documentation if necessary, especially if you're adding new features or changing how the project is used. | ||
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7. **Submit a Pull Request**: Once your changes are ready, submit a pull request to the main GPU-Jupyter repository. | ||
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## Reporting Issues | ||
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- **Use GitHub Issues**: Report bugs or suggest features by creating an issue in the GPU-Jupyter repository. | ||
- **Provide Detailed Information**: Include as much detail as possible in your issue reports, such as steps to reproduce the bug or detailed descriptions of the proposed feature. | ||
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## Community Guidelines | ||
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- **Respectful Communication**: Always communicate respectfully with other contributors and maintainers. | ||
- **Collaborative Mindset**: Be open to feedback and willing to collaborate with others on solutions. | ||
- **Inclusive Environment**: Strive to foster an inclusive environment where contributors of all backgrounds feel welcome. | ||
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## Questions? | ||
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If you have any questions or need further guidance, feel free to reach out to the maintainers or the community on the project's GitHub page. | ||
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We look forward to your contributions to GPU-Jupyter and thank you for supporting this project! | ||
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*This CONTRIBUTING.md is tailored specifically for the iot-salzburg/GPU-Jupyter project. For more information, visit the [GPU-Jupyter GitHub repository](https://github.com/iot-salzburg/gpu-jupyter).* |