This repository contains a Jupyter Notebook that demonstrates the implementation of the Word2Vec algorithm from scratch in Python. Word2Vec is a widely used technique for learning word embeddings, which are dense vector representations of words that capture semantic and syntactic relationships between them.
word2vec.ipynb: Jupyter Notebook with a step-by-step implementation of the Word2Vec model with Continuous Bag-of-Words (CBOW).
Made with ❤ by jggomez.
- https://arxiv.org/pdf/1301.3781
- https://developers.google.com/machine-learning/crash-course/embeddings
- https://medium.com/@enozeren/word2vec-from-scratch-with-python-1bba88d9f221
- https://huggingface.co/blog/matryoshka
Copyright 2025 Juan Guillermo Gómez
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