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), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huggingface%2Fpytorch-image-models
PURL: pkg:github/huggingface/pytorch-image-models
Stars: 34,832
Forks: 4,970
Open issues: 73
License: apache-2.0
Language: Python
Size: 27.3 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: 6 days ago
Pushed at: 7 days ago
Last synced at: 6 days ago
Commit Stats
Commits: 2126
Authors: 158
Mean commits per author: 13.46
Development Distribution Score: 0.248
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/huggingface/pytorch-image-models
Topics: augmix, convnext, distributed-training, efficientnet, image-classification, imagenet, maxvit, mixnet, mobile-deep-learning, mobilenet-v2, mobilenetv3, nfnets, normalization-free-training, optimizer, pretrained-models, pretrained-weights, pytorch, randaugment, resnet, vision-transformer-models
Funding Links https://github.com/sponsors/rwightman