766 Open source projects that are alternatives of or similar to Pytorch Unet

Tensorflow implementation : U-net and FCN with global convolution

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

A semantic segmentation toolbox based on PyTorch

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

The implementation of 3D-UNet using PyTorch

Kaggle Data Science Bowl 2018

Implementation details for EDANet

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

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

Open solution to the Airbus Ship Detection Challenge

2D and 3D UNet implementation in PyTorch.

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Open solution to the Mapping Challenge 🌎

End-to-end image segmentation kit based on PaddlePaddle.

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Open solution to the Data Science Bowl 2018

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

BCDU-Net : Medical Image Segmentation

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Develop production ready deep learning code, deploy it and scale it

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

CNN visualization tool in TensorFlow

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Satellite Image Classification using semantic segmentation methods in deep learning

Segmentation models with pretrained backbones. PyTorch.

tensorflow version of unet

3D U-Net model for volumetric semantic segmentation written in pytorch

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Deep learning applied to georeferenced datasets

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Cell Detection with PyTorch.

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

PyTorch Implementation for Segmentation and Saliency Prediction

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

CNN-RNN中文文本分类，基于TensorFlow

unet_keras use image Semantic segmentation

real-time network architecture for mobile devices and semantic segmentation

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Kaggle TGS Salt Identification Challenge 2018 4th place code

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

Pytorch code for semantic segmentation using ERFNet

Code for https://arxiv.org/abs/1611.10080

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Pixel-wise segmentation on VOC2012 dataset using pytorch.

How to use TensorLayer

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Curated Tensorflow code resources to help you get started with Deep Learning.

An extension of Open3D to address 3D Machine Learning tasks

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network