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
repoApplication layer 0.6
Score
Momentum
38
Divergence
—
30d momentum
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Components — cohort repo:application-layer
| Family | Velocity 7d | z | Weight | Source |
|---|---|---|---|---|
| code | 0 | −0.49 | 0.25 | gh_stars |
| models | missing | |||
| apps | missing | |||
| hiring | missing | |||
| sdk | missing | |||
| attention | missing |
Memos (0)
No memo yet — run pnpm memo 344.
Metrics (30d)
codegh_stars
latest 37k
Events (1)
- gh_releasehuggingface/pytorch-image-models v1.0.282026-07-11source