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Sneak Peak #1
Comments
This is a marvelous start @zaidalyafeai . shall the project scope include tutorials written in either way, Arabic or English? This will be a awesome addition. |
I appreciate the initiative thank you for the effort @zaidalyafeai . |
I can make the website, if you have a model that I can follow it will be better. |
Hey @MarchWorks |
@MarchWorks thanks for your suggestions. Really appreciate that :). torrents are blocked in my institution so we don't prefer that. We might consider paid services like amazon (depending on the price) but we are still in the beginning stages. |
@all-contributors please add @MagedSaeed for design, ideas and platform. |
I've put up a pull request to add @MagedSaeed! 🎉 |
@all-contributors please add @MarchWorks for ideas. |
I've put up a pull request to add @MarchWorks! 🎉 |
Motivation
As you know machine learning has proven its importance in many fields, like computer vision, NLP, reinforcement learning, adversarial learning, etc .. Unfortunately, there is a little work to make machine learning accessible for Arabic-speaking people.
Goal
Our goal is to enrich the Arabic content by creating open-source projects and open the community eyes on the significance of machine learning. We want to create interactive applications that allow novice Arabs to learn more about machine learning and appreciate its advances.
Contributing
Make sure you check the issues to make sure we don't have repetitive simultaneous work. If your work has not been done create an issue with a proper title. After finishing your work create a pull requests to merge your contribution. Initially these are the projects we want to work on
Models
Create and train models using TensorFlow, Pytorch, etc ...
Interfaces
Make the models accessible through
Datasets
Extra
We can also contribute to other projects. For instance, help translate this cheat sheet to Arabic.
Community
This is an open space community where we don't force members to do stuff. As long as you are motivated and have the passion to help the community to grow you are always welcomed. More importantly, plan your ideas well and take the time before committing yourself into a project.
Resources
As a start we will start on Github for hosting the website, models, datasets and other contents. Unfortunately, there is a limitation on the space that will hunt us in the future. Please let us know what you suggest on that matter.
Code of Ethics
We are an open community. So, if you reuse a model/code/tutorial please make sure to mention the original authors and check the copyright notice.
Sponsors
We are not sponsored and all the members are voluntarily working on the projects.
License
This project will be under the MIT license.
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