manik02 3 hours ago
It’s aimed at people who want to experiment with privacy-preserving computations without diving straight into dense papers. The notebook includes explanations, runnable examples, and practical tips for writing clean, maintainable Python code for HE workflows.
Repo: https://github.com/manos02/ckks
I’d love feedback from anyone working with HE, or suggestions for making the tutorial more practical and approachable.