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Welcome to Lily's Notebook

A collection of notes, reflections, and explorations in computer science, AI, and beyond.


About Me

GitHub Personal Website Email


What's Inside

Topics Covered

  • Diffusion Models — DDPM, DDIM, Stable Diffusion
  • 3D Vision — NeRF, 4D Gaussian Splatting
  • Reinforcement Learning — Policy Gradients, PPO
  • Computer Science Fundamentals — Theory, OS, Algorithms
  • Computer Vision — Classical and Deep Learning approaches

Notes & Feedback

About These Notes

These are my personal study notes from courses and paper readings. I hope they can be helpful to others on similar learning paths.

If you find errors or have suggestions, please reach out — I truly appreciate thoughtful feedback.

Image Attribution

Most images are from course materials or the internet. If any image belongs to you and you'd like it removed, please contact me.


"Learning never exhausts the mind."
— Leonardo da Vinci