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Stars gained: From May 11, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 11, 2026 to Nov 12, 2026, each from zero02040May 11Nov 12, 2026aaron-xichen/pytorch-playgroundAutoGPTQ/AutoGPTQ
Stars: The star count at the end of each dayStarsThe star count at the end of each day3K4K5KMay 9Nov 12, 2026aaron-xichen/pytorch-playgroundAutoGPTQ/AutoGPTQ

Facts

Fact aaron-xichen/pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

AutoGPTQ/AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

Stars 2,7245,068
Net stars, last 30 days +1+10
Largest star day +2 on Jul 28, 2026+2 on May 28, 2026
Milestone reached in the record NoneNone
Forks 616547
Language PythonPython
License MITMIT
Created Apr 28, 2017Apr 13, 2023
Last push Nov 22, 2022Apr 11, 2025
Archived NoYes
Health facts: Maintenance 1 of 4 checks (2 without data)0 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 11, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: pytorch, quantization. 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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