We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:
- Reporting a bug
- Discussing the current state of the code
- Submitting a fix
- Proposing new features
- Comment on the issue you want to work on. Make sure it's not assigned to someone else.
- Any Pytorch real life implementation
- Should add README.txt to execute, required environment and dataset link
- Compatible old implementations with new fixes
- Add REQUIREMENTS.txt with the your Jupyter notebook
- Make sure you have been assigned the issue to which you are making a PR.
- If you make PR before being assigned, It will be labeled
invalid
and closed without merging.
- Fork the repo and clone it on your machine.
- Add a upstream link to main branch in your cloned repo
git remote add upstream https://github.com/python-geeks/Automation-scripts.git
- Keep your cloned repo up to date by pulling from upstream (this will also avoid any merge conflicts while committing new changes)
git pull upstream master
- Create your feature branch
git checkout -b <feature-name>
- Commit all the changes
git commit -am "Meaningful commit message"
- Push the changes for review
git push origin <branch-name>
- Create a PR from our repo on Github.
- Code should be properly commented to ensure it's readability.
- If you've added code that should be tested, add tests as comments.
- Make sure your code properly formatted.
- Issue that pull request!
- use Flake8 for python code
When you are creating an issue, make sure it's not already present. Furthermore, provide a proper description of the changes. If you are suggesting any code improvements, provide through details about the improvements.
Great Issue suggestions tend to have:
- A quick summary of the changes.
- In case of any bug provide steps to reproduce
- Be specific!
- Give sample code if you can.
- What you expected would happen
- What actually happens
- Notes (possibly including why you think this might be happening, or stuff you tried that didn't work)
By contributing, you agree that your contributions will be licensed under its MIT License.