floriankark/cs224n-win2223

Implements complete PyTorch-based solutions across five assignments covering word embeddings (Word2Vec, GloVe), backpropagation fundamentals, RNN/LSTM architectures, and sequence-to-sequence models with attention mechanisms. Solutions integrate empirical implementations with mathematical derivations, requiring LaTeX writeups for theoretical components alongside functional code. The repository pairs practical programming exercises with curated reading lists from seminal NLP papers, providing a structured learning pathway from foundational concepts through advanced architectures like machine translation systems.

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