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Stars gained: From May 9, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 9, 2026 to Nov 11, 2026, each from zero0500May 9Nov 11, 2026weiaicunzai/pytorch-cifar100huggingface/pytorch-image-models
Stars: The star count at the end of each dayStarsThe star count at the end of each day20KApr 25Nov 11, 2026weiaicunzai/pytorch-cifar100huggingface/pytorch-image-models

Facts

Fact weiaicunzai/pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

huggingface/pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Stars 4,78237,280
Net stars, last 30 days +5+85
Largest star day +2 on May 12, 2026+21 on May 13, 2026
Milestone reached in the record NoneNone
Forks 1,2015,228
Language PythonPython
License No licenseAPACHE-2.0
Created Apr 22, 2017Feb 2, 2019
Last push Jul 15, 2024Nov 7, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases 0 of 3 checks (2 without data)2 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 0 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeks No data243
Weeks with commits, last 52 No data47 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: pytorch, image-classification, resnet. 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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