Adversarial-Deep-Learning / adversarial-deep-learning.github.io

Website for the book Adversarial Deep Learning

adversarial-deep-learning.github.io

Website for the book Adversarial Deep Learning, powered by jekyll

Requirements

Install jekyll's CLI, based on your operating system, from here

To run the website locally:

bundle install
bundle exec jekyll serve

Navigate to http://localhost:4000 on your browser.

Contribution

Pull requests are welcome, but make sure the following criteria are satisfied:

• If you are (possibly) breaking an existing feature, state this explicitly in the PR description.
• Commit messages should be in present tense, descriptive and relevant, closely following the GNOME Commit Message Guidelines.
• Adding tags to the message is optional (for now). Commits should not have git tags unless they indicate a version change.
• Documentation should be updated when the API is modified.
• All required status checks must pass. Barring exceptional cases, relevant tests should be added/updated whenever necessary.
• Barring exceptional cases, Codacy should not report any new issues.
• Follow the general style of the project. Badly written or undocumented code might be rejected.
• If you are proposing a modifications to an existing one, create an issue first, explaining why it is useful.
• Join the slack channel for discussion SAiDL Season Of Code 2021
• Be nice!

For more information about the project's setup, please read CONTRIBUTING.md, ⭐ us if you liked the work.