CS224n and CS224N
These are **competitors** — both are independent solution repositories for the same Stanford CS224N course assignments from different years, serving students seeking reference implementations rather than tools designed to work 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
nguynking/CS224N
Assignment solutions for CS224N: Natural Language Processing with Deep Learning - Stanford / Winter 2023
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