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GitHub / 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), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huggingface%2Fpytorch-image-models
Stars: 30,057
Forks: 4,591
Open Issues: 92
License: apache-2.0
Language: Python
Repo Size: 25.1 MB
Dependencies:
0
Created: over 5 years ago
Updated: about 1 hour ago
Last pushed: about 3 hours ago
Last synced: about 1 hour ago
Commit Stats
Commits: 1564
Authors: 102
Mean commits per author: 15.33
Development Distribution Score: 0.228
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/huggingface/pytorch-image-models
Topics: augmix, convnext, distributed-training, dual-path-networks, efficientnet, image-classification, imagenet, maxvit, mixnet, mobile-deep-learning, mobilenet-v2, mobilenetv3, nfnets, normalization-free-training, pretrained-models, pretrained-weights, pytorch, randaugment, resnet, vision-transformer-models
Funding links: https://github.com/sponsors/rwightman
Files
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