Updated 6 months ago

instances • Rank 33.1 • Science 77%

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

Updated 6 months ago

yellow-sticky-traps-detection • Rank 0.7 • Science 51%

Code for our paper Faster R-CNN and EfficientNet for Accurate Insect Identification in a Relabeled Yellow Sticky Traps Dataset

Updated 6 months ago

fastseg • Rank 5.9 • Science 10%

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Updated 6 months ago

siim-covid-19-detection • Science 44%

👩‍⚕️ Identification and Localization COVID-19 Abnormalities on Chest Radiographs

Updated 6 months ago

cxrabnormalitylocalization • Science 26%

🫁 Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks

Updated 6 months ago

iddroadsegmentation • Science 54%

Distinguishing Urban Roads from Non-Road Regions in the Indian Driving Dataset(IDD) Using Binary Deep Learning Segmentation 🛣️

Updated 6 months ago

https://github.com/aidinhamedi/pytorch-garbage-classification • Science 13%

Welcome to the repository of our garbage classification project! We have developed a model using PyTorch and EfficientNet-B4 that classifies garbage into twelve different types. The model has achieved an impressive accuracy of 98.45%.