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Hpytorch-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
Popularity
Repository stars37,262135,047Highest
7-day net stars——
Fork5,22215,973Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-312026-11-02
Maintenance notesNot verifiedUnknown
Repository created2019-02-022020-01-02
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeDesign & creationDiagrams and whiteboards
TypeApps & systemsApps & systems
SubcategoryDesign & creationDesign & creation
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check hosted-service, model and infrastructure costs for the option you choose.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonTypeScript
About this projectThe 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 moreSketch diagrams, wireframes and ideas on a hand-drawn-style whiteboard.
Measured at2026-11-03 08:27 UTC2026-11-02 18:45 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.