Natural-Language-Processing-Specialization and NLPSpecialization
These are competing implementations of the same Coursera NLP specialization course, where users would select one based on code quality and comprehensiveness (A has significantly more community validation with 854 stars versus B's 2 stars).
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
Mopheshi/NLPSpecialization
A repository for "Natural Language Processing" course on Coursera offered by DeepLearning.AI
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