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piskvorky/word_embeddings

piskvorky/word_embeddings
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TopGit repo profile for piskvorky/word_embeddings, with GitHub repository stats and README context.
Stars
★ 113
Forks
⑂ 40
Language
Python
Topic
—
License
—
Updated
11.7y ago
Contributors
—
Homepage
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QUICK VERDICT

piskvorky/word_embeddings is tracked by TopGit as an open-source project, with 113 stars on GitHub, written primarily in Python. Code for the blog post "Making Sense of Word2vec"

Snapshot summary built from the project's own GitHub metadata — there's no written TopGit review yet. The page will update automatically when a full review is published.

WHY NO REVIEW YET

TopGit writes full reviews for the most-starred, most-requested repositories. This page is a snapshot until then — see the READ ME tab for the original README in full.

Snapshot

Stars★ 113
Forks⑂ 40
LanguagePython
Topic—
License—
HomepageView ↗

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Top 21 contributors to piskvorky/word_embeddings

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FREQUENTLY ASKED

Quick answers

How many stars does piskvorky/word_embeddings have?

piskvorky/word_embeddings has 113 GitHub stars — refresh the page for the live number, or check github.com/piskvorky/word_embeddings. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.

Is piskvorky/word_embeddings open source?

TopGit's metadata for piskvorky/word_embeddings does not record a license. Most public repositories on GitHub ARE open source, but the exact terms vary — verify by opening the LICENSE file directly.

What is piskvorky/word_embeddings?

piskvorky/word_embeddings (piskvorky/word_embeddings) is a Python project on GitHub. From the project's own README: Code for the blog post "Making Sense of Word2vec"

Where can I see piskvorky/word_embeddings in action?

The project maintains a homepage at http://radimrehurek.com/2014/12/making-sense-of-word2vec/. The README tab on this page also usually contains screenshots and a quickstart.

Where do I read more about piskvorky/word_embeddings?

This TopGit page is a snapshot — the READ ME tab shows the project's own README content (links stripped, images preserved). The GitHub repository at github.com/piskvorky/word_embeddings is the definitive source.

Read full README in the tab above.

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