word2vec-from-scratch-with-python and Word2vec-from-scratch

These are competitors—both provide educational implementations of Word2vec from scratch for learning purposes, with A using pure Python and B using TensorFlow, but serving the same use case of understanding the algorithm rather than practical deployment.

word2vec-from-scratch-with-python
46
Emerging
Word2vec-from-scratch
35
Emerging
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 20/25
Stars: 101
Forks: 45
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 34
Forks: 30
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About word2vec-from-scratch-with-python

nathanrooy/word2vec-from-scratch-with-python

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

This project helps natural language processing (NLP) enthusiasts and students understand how word embeddings are created. You put in a text corpus, and it shows you how word relationships can be represented numerically. It's ideal for anyone learning the foundational concepts behind modern NLP techniques.

natural-language-processing computational-linguistics text-analytics machine-learning-education data-science-fundamentals

About Word2vec-from-scratch

sudharsan13296/Word2vec-from-scratch

simple Word2vec from scratch using tensorflow for understanding

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