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.

cs224n
47
Emerging
CS224n-2019-solutions
43
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 126
Forks: 44
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 547
Forks: 226
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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.

natural-language-processing deep-learning-education machine-translation word-embeddings academic-self-study

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.

Natural Language Processing Deep Learning Academic Solutions NLP Education Machine Learning

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