Pinned Repositories
mask-rcnn-3d
3d mask rcnn
MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
senet.pytorch
PyTorch implementation of SENet
TotalSegmentator
Tool for robust segmentation of 104 important anatomical structures in CT images
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
vision
Datasets, Transforms and Models specific to Computer Vision
HoneyCW's Repositories
HoneyCW/mask-rcnn-3d
3d mask rcnn
HoneyCW/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
HoneyCW/mmdetection
OpenMMLab Detection Toolbox and Benchmark
HoneyCW/nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
HoneyCW/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
HoneyCW/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
HoneyCW/senet.pytorch
PyTorch implementation of SENet
HoneyCW/TotalSegmentator
Tool for robust segmentation of 104 important anatomical structures in CT images
HoneyCW/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
HoneyCW/vision
Datasets, Transforms and Models specific to Computer Vision