Natural-Language-Processing-Specialization and NLP-Specialization
These are competitors—both are independent compilations of coursework and solutions for the same Deeplearning.AI NLP Specialization course on Coursera, offering alternative repositories from which a learner would select one as their reference implementation.
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 NLP-Specialization
Sachin-Wani/NLP-Specialization
NLP Specialization (Natural Language Processing) made by deeplearning.ai
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work