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

This is a warehouse for MobileNetV4-Pytorch-model, can be used to train your image-datasets for vision tasks.

An unofficial implementation of MobileNetV4 in Pytorch

PyTorch implementation of MobileNetV4 family

PyTorch replication of the MobileNetV4 Model

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A PyTorch-based image classification system that trains a MobileNetV4 model to classify different types of slide presentations and screen states.

Straightforward implementation of MobileNetV4 https://arxiv.org/abs/2404.10518

PyTorch implementations of baseline and enhanced MobileNetV4 models on CIFAR-10. Features Apple Silicon GPU acceleration, advanced optimization techniques, and significant accuracy improvements.