CS224n and CS224NHomeworks
These are **competitors** — both provide complete assignment solutions for the same Stanford CS224N course, just from different years (2017 vs 2019), so users would select one based on which course iteration they're following.
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 CS224NHomeworks
alongstar518/CS224NHomeworks
CS224N 2019 Homeworks
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