https://huyenchip.com/ml-interviews-book/

🤖 Machine Learning Summer School Guide

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

All about the fundamentals and working of Diffusion Models

Docs

Minimal Interactive Attention Visualization

Minimal starting point for rapid prototyping interactive Human-AI tools

PROPP: A Python library for narrative analysis