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huggingface / pytorch-image-models

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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

pytorch imagenet image-classification resnet pretrained-models mixnet pretrained-weights distributed-training dual-path-networks mobilenet-v2 mobile-deep-learning mobilenetv3 efficientnet augmix randaugment nfnets normalization-free-training vision-transformer-models convnext maxvit
  • Updated Dec 24, 2024
  • Python

yang-ruixin / pytorch-image-models-with-simclr

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Multi-label classification based on timm, and add SimCLR to timm.

pytorch semi-supervised-learning transfer-learning pretrained-models multi-label-classification multi-task mixnet multi-label pretrained-weights multi-task-learning semi-supervised imagenet-classifier self-supervised self-supervised-learning mobilenetv3 efficientnet simclr gradient-centralization vision-transformer-models timm
  • Updated Sep 13, 2021
  • Jupyter Notebook

hadar-hai / vit-vs-cnn-on-elephants

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This project focuses on evaluating Convolutional Neural Networks (CNN) and Vision Transformers (ViT) for image classification tasks, specifically distinguishing between Asian elephants and African elephants.

computer-vision deep-learning pytorch image-classification cnn-model cnn-classification machine-learnign vision-transformer vision-transformers vision-transformer-models vision-transformer-image-classification
  • Updated Apr 8, 2024
  • Jupyter Notebook

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