CS224n and cs224n-2017-winter
These are **competitors** — both are independent collections of the same Stanford CS224n course materials (assignments, notes, and slides), and a user would typically choose one repository as their primary reference rather than use both together.
About CS224n
hankcs/CS224n
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Implements core NLP tasks including word embeddings (word2vec), transition-based dependency parsing (88.92% test UAS), and named entity recognition with both RNN and GRU architectures using TensorFlow r1.2. Covers foundational deep learning concepts through progressively complex assignments spanning softmax classification, language modeling with unrolled RNNs, and sequence labeling with gradient clipping experiments.
About cs224n-2017-winter
maxim5/cs224n-2017-winter
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work