u-net
There are 542 repositories under u-net topic.
yeyun111/dlcv_for_beginners
《深度学习与计算机视觉》配套代码
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
akirasosa/mobile-semantic-segmentation
Real-Time Semantic Segmentation in Mobile device
SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
HongyangGao/Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
amanchadha/coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
boschresearch/unetgan
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Vooban/Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
ybabakhin/kaggle_salt_bes_phalanx
Winning solution for the Kaggle TGS Salt Identification Challenge.
karolzak/keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
intel/unet
U-Net Biomedical Image Segmentation
NITR098/Awesome-U-Net
Official repo for Medical Image Segmentation Review: The Success of U-Net
lucidrains/x-unet
Implementation of a U-net complete with efficient attention as well as the latest research findings
cabralpinto/modular-diffusion
Python library for designing and training your own Diffusion Models with PyTorch.
koba-jon/pytorch_cpp
Deep Learning sample programs using PyTorch in C++
DebeshJha/2020-CBMS-DoubleU-Net
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
zhiqiangdon/CU-Net
Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)
MIC-DKFZ/trixi
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
Mehrdad-Noori/Brain-Tumor-Segmentation
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
lucidrains/unet-stylegan2
A Pytorch implementation of Stylegan2 with UNet Discriminator
Issam28/Brain-tumor-segmentation
A deep learning based approach for brain tumor MRI segmentation.
WZH0120/SAM2-UNet
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
masyagin1998/robin
RObust document image BINarization
shahsohil/sunets
PyTorch Implementation of Stacked U-Nets (SUNets)
rogerxujiang/dstl_unet
Dstl Satellite Imagery Feature Detection
arnoweng/PyTorch-Deep-Image-Steganography
A PyTorch implementation of image steganography utilizing deep convolutional neural networks
wmylxmj/Pix2Pix-Keras
基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25
RazvanDu/DUCK-Net
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
satinder147/DeepWay.v2
Autonomous navigation for blind people
AdivarekarBhumit/ID-Card-Segmentation
Segmentation of ID Cards using Semantic Segmentation
preritj/segmentation
Tensorflow implementation : U-net and FCN with global convolution
TripleCoenzyme/ResNet50-Unet
Segmentation for vertebra in MR images
akarsh-prabhakara/RadarHD
High resolution point clouds from mmWave radar
frankkramer-lab/covid19.MIScnn
Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
prs-eth/ResDepth
[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images
EsmeYi/UNet-CRF-RNN
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation