CS224n and CS224N-2019

CS224n

Established

CS224N-2019

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 10/25

Maturity 8/25

Community 24/25

Stars: 683

Forks: 270

Downloads: —

Commits (30d): 0

Language: Python

License: GPL-3.0

Stars: 330

Forks: 123

Downloads: —

Commits (30d): 0

Language: JavaScript

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About CS224n

hankcs/CS224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

This project provides assignments and practical examples for understanding core concepts in Natural Language Processing (NLP) using deep learning. It takes raw text or structured language data and demonstrates how to process it to extract meaning, categorize sentiment, or parse grammatical structure. This is designed for individuals learning or teaching advanced NLP techniques, such as university students, researchers, or data scientists transitioning into language-focused AI.

Natural Language Processing Deep Learning Sentiment Analysis Named Entity Recognition Dependency Parsing

About CS224N-2019

Luvata/CS224N-2019

My completed solutions for CS224N 2021 & 2019

This project provides complete solutions for the Stanford CS224N course, which focuses on natural language processing with deep learning. It includes practical examples and code for tasks like word embedding analysis, transformer models, and neural machine translation. It's designed for students and self-learners looking to understand and apply advanced NLP techniques.

natural-language-processing deep-learning computational-linguistics machine-translation text-analysis

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