Natural-Language-Processing-Specialization and Natural-Language-Processing-Specialization-deeplearning.ai
These are competitors—both are independent student repositories containing identical coursework solutions for the same Deeplearning.ai NLP Specialization on Coursera, so users would choose one or the other based on code quality and documentation rather than using both together.
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 Natural-Language-Processing-Specialization-deeplearning.ai
ChanchalKumarMaji/Natural-Language-Processing-Specialization-deeplearning.ai
[Coursera] Natural Language Processing Specialization by "deeplearning.ai".
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