This repository serves as a comprehensive study guide for understanding transformer architectures in deep learning. It provides curated links to high-level introductions, detailed illustrated explanations, video lectures, and academic papers covering attention mechanisms, NLP applications, and emerging uses in computer vision and reinforcement learning.