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Search results for deep learning unet
deep-learning
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unet
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134 search results found
Pytorch Unet
⭐
7,861
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Paddlex
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4,510
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
Unet
⭐
4,218
unet for image segmentation
Tf_unet
⭐
1,582
Generic U-Net Tensorflow implementation for image segmentation
Dlcv_for_beginners
⭐
1,409
《深度学习与计算机视觉》配套代码
Medicaldetectiontoolkit
⭐
1,249
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.
Deep Learning In Production
⭐
949
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Medicalzoopytorch
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896
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Mobile Semantic Segmentation
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677
Real-Time Semantic Segmentation in Mobile device
Human Segmentation Pytorch
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532
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
Speech Enhancement
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515
Deep learning for audio denoising
Bcdu Net
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435
BCDU-Net : Medical Image Segmentation
Supervisely Tutorials
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376
🌈 Tutorials for Supervise.ly
Open Solution Mapping Challenge
⭐
363
Open solution to the Mapping Challenge 🌎
Unext Pytorch
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359
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
Kaggle_salt_bes_phalanx
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270
Winning solution for the Kaggle TGS Salt Identification Challenge.
Unet Zoo
⭐
262
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
Pytorch Saltnet
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259
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
Ai_papers
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254
AI Papers
Source_separation
⭐
252
Deep learning based speech source separation using Pytorch
Unet
⭐
249
U-Net Biomedical Image Segmentation
Eye In The Sky
⭐
248
Satellite Image Classification using semantic segmentation methods in deep learning
Brain Tumor Segmentation
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248
Brain Tumor Segmentation done using U-Net Architecture.
Modular Diffusion
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227
Python library for designing and training your own Diffusion Models with PyTorch.
Led
⭐
219
[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
X Unet
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219
Implementation of a U-net complete with efficient attention as well as the latest research findings
Pytorch_cpp
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215
Deep Learning sample programs using PyTorch in C++
2020 Cbms Doubleu Net
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207
DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
Trixi
⭐
206
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.
Keras Unet
⭐
194
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
Multiplanarunet
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179
Multi-Planar UNet for autonomous segmentation of 3D medical images
Unet3plus_pth
⭐
178
UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth
Unet
⭐
176
Generic U-Net Tensorflow 2 implementation for semantic segmentation
Deepresearch
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166
This repository is the collection of research papers in Deep learning, computer vision and NLP.
Open Solution Data Science Bowl 2018
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158
Open solution to the Data Science Bowl 2018
Robin
⭐
157
RObust document image BINarization
Deep Unet For Satellite Image Segmentation
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155
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
3dunet Tensorflow Brats18
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147
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
Geo Deep Learning
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143
Deep learning applied to georeferenced datasets
Lung Segmentation 2d
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128
Lung fields segmentation on CXR images using convolutional neural networks.
Unet
⭐
126
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
Brain Segmentation
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124
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
Open Solution Salt Identification
⭐
120
Open solution to the TGS Salt Identification Challenge
Metnet3 Pytorch
⭐
108
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
Dstl_unet
⭐
107
Dstl Satellite Imagery Feature Detection
Resunetplusplus With Crf And Tta
⭐
106
Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
Celldetection
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93
Instance Segmentation with PyTorch & PyTorch Lightning.
Coursera Gan Specialization
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93
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Brain Tumor Segmentation
⭐
80
A deep learning based approach for brain tumor MRI segmentation.
Unet Segmentation
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78
The U-Net Segmentation plugin for Fiji (ImageJ)
Diffusion Explainer
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77
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Pix2pix Keras
⭐
70
基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25
Darts
⭐
65
Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
Visualization Segmentation Process
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65
Segmentation visualization, keras, augmentation, fine tuning
Fabric
⭐
60
Urban change model designed to identify changes across 2 timestamps
Stagewise Knowledge Distillation
⭐
60
Code implementation of Data Efficient Stagewise Knowledge Distillation paper.
Crack_segmentation
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59
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
Vector Map Generation From Aerial Imagery Using Deep Learning Geospatial Unet
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59
We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.
Open Solution Ship Detection
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58
Open solution to the Airbus Ship Detection Challenge
Deep Learning For Earth Observation
⭐
56
Application of deep learning for earth observation.
Brain Tumor Segmentation
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56
Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task
Unet_3d
⭐
56
3D Unet Equipped with Advanced Deep Learning Methods
Deep Segmentation
⭐
55
CNNs for semantic segmentation using Keras library
Document Image Unwarping Pytorch
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55
Pytorch implementation and extension of "DocUnet: Document Image Unwarping via A Stacked U-Net"
Livermask
⭐
54
💥 Command line tool for automatic liver parenchyma and liver vessel segmentation in CT using a pretrained deep learning model
Pixel Decoder
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53
A tool of running deep learning algorithms for semantic segmentation with satellite imagery
Head Segmentation
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52
👦 Human head semantic segmentation
Lung Segmentation
⭐
52
Lung segmentation for chest X-Ray images
U Net Satellite
⭐
51
Road Detection from satellite images using U-Net.
Open_brats2020
⭐
51
Top 10 brats 2020 Solution
Simple Diffusion
⭐
50
A minimal implementation of a denoising diffusion model in PyTorch.
Multiclass Semantic Segmentation
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48
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]
Unet Stylegan2
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48
A Pytorch implementation of Stylegan2 with UNet Discriminator
Covid19.miscnn
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48
Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
Label Pixels
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42
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
Id Card Segmentation
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42
Segmentation of ID Cards using Semantic Segmentation
Colonsegnet
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41
ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
Uformer Pytorch
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41
Implementation of Uformer, Attention-based Unet, in Pytorch
De_resnet_unet_hyb
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41
Depth estimation from RGB images using fully convolutional neural networks.
Eddynet
⭐
39
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
Picsarthack Binary Segmentation
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39
Segmenting people on photos using IOS devices [Pytorch; Unet]
Nocodeseg
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37
🔬 Code-free deep segmentation for computational pathology
Saratan
⭐
37
Code for MICCAI 2016 paper : Automatic liver and lesions segmentation using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Deep Learning Liver Segmentation
⭐
35
Application of Deep Learning to the segmentation of medical images
Mridc
⭐
33
Data Consistency Toolbox for Magnetic Resonance Imaging
A Unet
⭐
32
A toolbox that provides hackable building blocks for generic 1D/2D/3D UNets, in PyTorch.
Crack Semantic Segmentation
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32
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
Custom_3d_unet
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32
Deep convolution neural network for semantic segmentation of 🧬3D biological data
Edn Gtm
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31
EDN-GTM: Encoder-Decoder Network with Guided Transmission Map for Effective Image Dehazing
Pytorch Segmentation Zoo
⭐
31
A PyTorch collection of semantic segmentation tools.
Brain Tumor Segmentation Using Deep Learning
⭐
31
#BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras
Tmunet
⭐
31
Contextual Attention Network: Transformer Meets U-Net
Unet Lits 2d Pipeline
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30
Liver Lesion Segmentation with 2D Unets
Ivd Net
⭐
29
Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.
Deepdiy
⭐
29
Deep learning based tool for image processing. No need for Programing and GPU.
Pytorch Unet
⭐
29
2D and 3D UNet implementation in PyTorch.
Pytorch Deep Image Steganography
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28
A PyTorch implementation of image steganography utilizing deep convolutional neural networks
Iconcolor
⭐
28
Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.
End To End Cd For Vhr Satellite Image
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27
The project aims to contribute to geoscience community
Yapic
⭐
27
Yet Another Pixel Classifier (based on deep learning)
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