Leetcode Patterns by Sean Prashad A collection of 179 LeetCode questions grouped by pattern to help you prepare for coding interviews. Sean Prashad built it in 2019 as a student who could not afford premium interview resources, and keeps it free and open source. Questions are grouped by subtopic, so practice goes into applying the same common patterns again and again. The full list (41 easy, 112 medium, 26 hard) can be filtered by difficulty, pattern and company, with company data from the last six months. What the site includes: • All Questions - the full list, with progress tracking, star

A Gentle Introduction to Graph Neural Networks An interactive article on Distill that explains modern graph neural networks, building a GNN step by step from a bare-bones implementation to a state-of-the-art model, and ending with a playground on a real task and dataset. Graphs are all around us: real-world objects are often defined by their connections to other things. Researchers have developed neural networks that operate on graph data, called graph neural networks or GNNs, for over a decade. Recent work has brought practical applications in antibacterial discovery, physics simulations, f

NLP Course | For You by Lena Voita An extension of the (ML for) Natural Language Processing course Lena Voita taught at the Yandex School of Data Analysis (YSDA) in 2018-2022, rebuilt as interactive lecture-blogs for self-study. The format is designed for convenience - easy to find, learn or recap material, both standard and more advanced, and to try it in practice. Each part is built around how to show an idea, so that you can study on your own, what you like, and at your pace. Seminar and homework notebooks for every topic are in the YSDA course repo, in PyTorch and TensorFlow. Table of c