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Stable Diffusion web UI
deep learning for image processing including classification and object-detection etc.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
A collection of loss functions for medical image segmentation
A quickstart and benchmark for pytorch distributed training.
Non-official implement of Paper：CBAM: Convolutional Block Attention Module