paperswithcode.com

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

fastbook

The fastai book, published as Jupyter Notebooks

"most important thing in data science is the question"

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.