OlgaChernytska/word2vec-pytorch
Implementation of the first paper on word2vec
This project helps natural language processing engineers and researchers understand and compare words based on their meanings. By inputting text data, it generates numerical representations (embeddings) for each word, capturing semantic relationships. These embeddings can then be used in various downstream NLP applications.
249 stars. No commits in the last 6 months.
Use this if you are a developer looking for a foundational implementation of Word2Vec to experiment with or integrate into your own PyTorch-based NLP projects.
Not ideal if you need a plug-and-play tool for immediate use in a business application without any coding or deep understanding of machine learning models.
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249
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95
Language
Python
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Last pushed
Jan 04, 2022
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