6342 Open source projects that are alternatives of or similar to Pytorch 3dunet

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.

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

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

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

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+

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

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

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

An awesome semantic segmentation model that runs in real time

Simplest and fastest image and text annotation tool.

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

An out-of-box human parsing representation extractor.

Tensorflow implementation : U-net and FCN with global convolution

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.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Cell Detection with PyTorch.

2D and 3D UNet implementation in PyTorch.

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

FC-DenseNet in PyTorch for Semantic Segmentation

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

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

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

unet for image segmentation

项目注释+论文复现+算法竞赛

tensorflow version of unet

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

Deep learning applied to georeferenced datasets

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

Satellite Image Classification using semantic segmentation methods in deep learning

Segmentation models with pretrained backbones. PyTorch.

A semantic segmentation toolbox based on PyTorch

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Kaggle Data Science Bowl 2018

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

The implementation of 3D-UNet using PyTorch

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

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

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

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

코딩셰프의 3분 딥러닝, 케라스맛

BCDU-Net : Medical Image Segmentation

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Swift for TensorFlow

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

The Hitchhiker's Guide to Data Science for Social Good

Lecture notes and code for Machine Learning practical course on CMC MSU

记录Learning from data一书中的习题解答

Learn Julia via interactive tutorials!

Examples of matplotlib codes and plots

鉴于我没有时间继续写这个东西，这个项目暂时废止