acd17sk/Word2vec-CBOW-Negative-Sampling

This project provides a pure NumPy implementation of the Word2vec Continuous Bag-of-Words (CBOW) architecture using Negative Sampling for efficient training. It includes a complete pipeline for text preprocessing, vocabulary building, and model evaluation through word similarity and analogy tasks.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

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word-embedding-implementations

Last pushed

Mar 11, 2026

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