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iperov/DeepixLab

iperov/DeepixLab
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TopGit repo profile for iperov/DeepixLab, with GitHub repository stats and README context.
Stars
★ 63
Forks
⑂ 18
Language
Python
Topic
—
License
GPL-3.0
Updated
1.5y ago
Contributors
—
Homepage
—
View on GitHub ↗
QUICK VERDICT

An open-source entry in TopGit's GitHub warehouse: iperov/DeepixLab, 63 stars, Python. Pixel manipulation tools using deep learning.

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★ 63
Forks⑂ 18
LanguagePython
Topic—
LicenseGPL-3.0
Homepage—

Read our review methodology ↗

Top contributors

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Top 21 contributors to iperov/DeepixLab

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FREQUENTLY ASKED

Quick answers

Does iperov/DeepixLab have a project website?

No homepage URL was recorded for iperov/DeepixLab in TopGit's last sync. The README tab above frequently contains screenshots and demo links, or check the repository description on GitHub.

How many stars does iperov/DeepixLab have?

iperov/DeepixLab has 63 GitHub stars — refresh the page for the live number, or check github.com/iperov/DeepixLab. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.

Is iperov/DeepixLab open source?

Yes — iperov/DeepixLab ships under the GPL-3.0 license, which makes its source code freely readable (and, depending on license terms, forkable and reusable). Source: github.com/iperov/DeepixLab.

What is iperov/DeepixLab?

iperov/DeepixLab (iperov/DeepixLab) is a Python project on GitHub. From the project's own README: Pixel manipulation tools using deep learning.

Where do I read more about iperov/DeepixLab?

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/iperov/DeepixLab is the definitive source.

Read full README in the tab above.

Is DeepixLab worth your time?

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