Adversarial-Deep-Learning / code-soup

This is a collection of algorithms and approaches used in the book adversarial deep learning
MIT License
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Hacktoberfest 2021 - Implement algorithms, tests, or data structures, fix existing ones and more! #92

Open someshsingh22 opened 2 years ago

someshsingh22 commented 2 years ago

The annual Hacktoberfest is underway! Register on Hacktoberfest's website and open 4 pull requests during October 2021 to plant a tree or receive the swags!

What's more, you can also fix any existing bugs, improve any documentation (open issues in Adversarial-Deep-Learning/code-soup) and provide better implementations for certain algorithms! Feel free to inform the community by filling an issue and start hacking! If you're new to contributing code, please read our Contribution Guidelines for an overall understanding and ask questions on the internet - Google, StackOverflow or our Slack.

Adversarial-Deep-Learning has repositories for its website too, so you can start coding there!

What you can do to participate

  1. Read our Contribution Guidelines
  2. Comment below or open an issue (for big ideas you may want the community to know) on your new implementations, fixes or functionalities
  3. Start hacking!
  4. Open a pull request for your contribution
  5. Wait until your pull requests get reviewed or merged! In the meantime, you can review someone else's pull requests too

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