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

About CS224n-2019-solutions

ZacBi/CS224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

Implements word embeddings (Word2Vec, GloVe), dependency parsing, RNNs, and sequence-to-sequence models with attention mechanisms across five assignments plus a final project. Solutions include both written derivations in Markdown and working code implementations covering gradient computation, backpropagation, machine translation architectures, and practical utilities like packed sequence handling for variable-length inputs.

Related comparisons

cs224n and cs224n_2020 cs224n and cs224n_learning_note cs224n and CS224n--NLP-with-Deep-Learning cs224n and stanford-cs224n cs224n and CS224n--NLP-with-Deep-Learning

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