Natural-Language-Processing-Specialization and NLPSpecialization
These are competitors—both provide coursework solutions for the same Coursera NLP Specialization, so users would choose one repository or the other based on code quality, completeness, or presentation preferences.
About Natural-Language-Processing-Specialization
amanjeetsahu/Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Covers four courses implementing classical to modern NLP architectures: sentiment analysis via logistic regression and naive Bayes, vector space models with PCA, sequence modeling with GRUs and LSTMs for tasks like named entity recognition and language generation, and transformer-based approaches including encoder-decoder attention for machine translation, T5/BERT for question-answering, and reformer models for dialogue systems. Implementations progress from foundational algorithms like minimum edit distance and n-gram language models through Word2Vec training to advanced techniques like Siamese networks for semantic similarity and attention mechanisms.
About NLPSpecialization
DhruvAwasthi/NLPSpecialization
This repo contains the assignment and quiz solutions of Natural Language Processing Specialization, offered on Coursera.
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