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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero02.5K5KApr 26Nov 3, 2026Diyago/Tabular-data-generationpytorch/pytorch
Stars: The star count at the end of each dayStarsThe star count at the end of each day050K100KApr 26Nov 3, 2026Diyago/Tabular-data-generationpytorch/pytorch

Facts

FactDiyago/Tabular-data-generation

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Stars570105,114
Net stars, last 30 days0+1,562
Largest star day+1 on May 5, 2026+439 on Oct 11, 2026
Milestone reached in the recordNone100,000 on Jun 14, 2026
Forks8131,306
LanguagePythonPython
LicenseAPACHE-2.0Other license
CreatedMar 21, 2020Aug 13, 2016
Last pushMar 29, 2026Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases2 of 3 checks (1 without data)3 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)1 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data5,017
Weeks with commits, last 52No data52 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, machine-learning, python. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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