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

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Face Alignment by Mobilenetv2

Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"

⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

AR/VR Eye Semantic Segmentation - Rank 5th/17 - OpenEDS 2019

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Retrain a MobileNet V1 or V2 model and use it in the browser with TensorFlow.js

Fast neural style with MobileNetV2 bottleneck blocks

MobileNetV2 architecture combined with a dynamically generated Feature Pyramid Network

Mxnet Implementation of Google's MobileNets v2

Lane segmentation model trained with tensorflow implementation MobileNetV2 based U-Net

轻量化卷积神经网络实现（SqueezeNet/MobileNet/ShuffleNet/MnasNet）

Face things on Android

PyTorch Mobile starter kit.