PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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Updated
May 15, 2024 - Python
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), 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
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"
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
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.
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