cs224n and CS224n-2019-solutions
These are complements—one provides the 2020 course materials and assignments while the other provides worked solutions from the 2019 iteration, allowing students to reference solutions from the previous year's version of the same NLP deep learning course.
About cs224n
leehanchung/cs224n
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
This project is a personal study guide for Stanford's CS224n course on Natural Language Processing with Deep Learning. It walks through assignments that involve building word embeddings, implementing Word2Vec, and developing neural machine translation systems using recurrent neural networks. Anyone learning or teaching advanced NLP concepts, especially those without access to an autograder, would find this helpful.
About CS224n-2019-solutions
ZacBi/CS224n-2019-solutions
Complete solutions for Stanford CS224n, winter, 2019
This project provides complete solutions and notes for the Stanford CS224n Winter 2019 Natural Language Processing course. It includes written explanations and code implementations for assignments, covering topics like Word2Vec, GloVe, dependency parsing, and sequence-to-sequence models with attention. It is designed for students or self-learners of advanced NLP who want to check their understanding and solutions against a comprehensive set of answers.
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