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PyTorch Image Models
https://github.com/rwightman/pytorch-image-models
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rwightmanΒ  new activity about 23 hours ago
timm/vit_little_patch16_reg4_gap_256.sbb_in1k:Loss exploding to nan
rwightmanΒ  updated a collection 6 days ago
SigLIP 2
rwightmanΒ  updated a collection 6 days ago
SigLIP 2
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timm

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PyTorch Image Models (timm) is a collection of image models, layers, utilities, optimizers, schedulers, data-loaders / augmentations, and reference training / validation scripts that aim to pull together a wide variety of SOTA models with ability to reproduce ImageNet training results.

Collections 18

Perception Encoder
OpenCLIP (PE Core image + text) and timm PE Core, Spatial, Lang (ViT only) weights. NOTE: These weights do not work with original modeling code.
Perception Encoder
OpenCLIP (PE Core image + text) and timm PE Core, Spatial, Lang (ViT only) weights. NOTE: These weights do not work with original modeling code.
View 18 collections