James Le
James Le
technical-interview-prep
These are coding solutions for problems I study while preparing for technical interviews at tech companies
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
movielens
4 different recommendation engines for the MovieLens dataset.
natural-language-processing
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
statistical-learning
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
computer-vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
applied-machine-learning
A step-by-step guide to get started with Applied Machine Learning
computer-networking
Lecture Slides for Philip Levis and Nick McKeown's "Introduction to Computer Networking" Stanford course
fashion-recommendation
A clothing retrieval and visual recommendation model for fashion images.