Statistical Rethinking Course for Jan-Mar 2023

⌨️ A curated list of awesome tools, demos and resources to go beyond LaTeX

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Code for Stanford CS224u

📺 Discover the latest machine learning / AI courses on YouTube.

Optimization Methods in Machine Learning at WUSTL, mainly a PyTorch 101

A collection of resources and papers on Diffusion Models

An open access book on scientific visualization using python and matplotlib

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Applied Deep Learning Course

The interdicplinary of Mathematics and Computer Science, Distinguisehed by its emphasis on mathemtical technique and rigour.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Material for gpu-mode lectures