This repository contains practical exercises on the generation, visualization, and application of word embeddings. The exercises demonstrate how to create embeddings using popular models like Word2Vec and BERT, visualize these embeddings using PCA and Matplotlib, and implement a simple semantic search system.
active 2024-07-20 → 2024-07-20 (UTC)
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Line chart, 1 days from 2024-07-20 to 2024-07-20. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Th3Mayar | 3 | 3 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.