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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
computer-vision models image-processing transformers pytorch imagenet segmentation image-segmentation unet dpt semantic-segmentation pretrained-weights pspnet fpn deeplabv3 unet-pytorch deeplab-v3-plus segmentation-models unetplusplus segformer
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
deep-learning pytorch kaggle tensorboard convolutional-networks convolutional-neural-networks unet semantic-segmentation pytorch-unet wandb weights-and-biases
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
tensorflow keras segmentation densenet resnet image-segmentation unet keras-models resnext pre-trained keras-tensorflow mobilenet pspnet pretrained fpn keras-examples linknet segmentation-models tensorflow-keras efficientnet
[IEEE TMI Best Paper Award] Official Implementation for UNet++
keras pytorch mri medical-imaging segmentation unet semantic-segmentation ct medical-image-segmentation skip-connections biomedical-imaging
Paper and implementation of UNet-related model.
3D U-Net model for volumetric semantic segmentation written in pytorch
pytorch unet semantic-segmentation volumetric-data 3d-segmentation dice-coefficient unet-pytorch groupnorm 3d-unet pytorch-3dunet residual-unet
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
deep-learning pytorch medical-imaging segmentation densenet resnet unet medical-image-processing 3d-convolutional-network medical-image-segmentation unet-image-segmentation iseg brats2018 iseg-challenge segmentation-models mrbrains18 brats2019
《深度学习与计算机视觉》配套代码
caffe computer-vision deep-learning mxnet book example detection regression pytorch gan classification segmentation generative unet adversarial beginners siamese u-net model-fusion
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
python training machine-learning cloud ai deep-learning deployment neural-network tensorflow production deeplearning unet semantic-segmentation machinelearningproject
PyTorch implementation of UNet++ (Nested U-Net).
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
This is a code repository for pytorch c++ (or libtorch) tutorial.
cpp pytorch vgg classification segmentation resnet unet tutorial-code libtorch pytorch-cpp yolov4 yolov4-tiny
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
tensorflow pypi backbone imagenet unet vnet resunet r2u-net u2net unet-plusplus attention-unet unet-threeplus transunet swinunet
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
deep-learning pytorch unet semantic-segmentation deeplab pspnet icnet bisenet portrait-segmentation human-segmentation
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