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.
126 stars. No commits in the last 6 months.
Use this if you are independently studying advanced Natural Language Processing concepts and need examples of implemented solutions for complex assignments.
Not ideal if you are looking for a plug-and-play NLP tool or a complete, verified solution set for grading, as the solutions are for self-study and not officially graded.
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MIT
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Dec 08, 2022
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