107 Open source projects that are alternatives of or similar to Unet_keras

Cell Detection with PyTorch.

The implementation of 3D-UNet using PyTorch

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

Implemenation of UNets for Lung Segmentation

AI Papers

No description or website provided.

2D and 3D UNet implementation in PyTorch.

This program detect and identify obstacle on railway. If program detect some obstacle that train must stop, program gives you warning sign. This program Also estimate riskiness of obstacle how it is negligible or not. We provide many models to you to detect railways and obstacles.

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

A collection of deep learning models (PyTorch implemtation)

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Deep learning for audio denoising

Combining Faster R-CNN and U-net for efficient medical image segmentation

Video prediction using lstm and unet

PyTorch Implementation for Segmentation and Saliency Prediction

Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

Medical Image Ceil Segment

Open solution to the Mapping Challenge 🌎

Lung segmentation for chest X-Ray images

Urban change model designed to identify changes across 2 timestamps

A multiplayer racing example project in Unity using the SocketWeaver SDK

美发目标分割 + 染发展示

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

The U-Net Segmentation server (caffe_unet) for Docker

#1 Open Source Unity Networking Library

Deep learning model to estimate the depth of image.

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

Open solution to the Airbus Ship Detection Challenge

core code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling

Low Light Image Enhancement

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

Image registration using pytorch

This is a code repository for pytorch c++ (or libtorch) tutorial.

Implementation of Uformer, Attention-based Unet, in Pytorch

Enable multiple players to connect to the same enrironment (UNET), fly a drone, and watch others fly their drones

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

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

Segmentation models with pretrained backbones. PyTorch.

this is a simple demo for image segmentation.----unet网络进行语义分割的demo，用的数据集是KITTI

Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.

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

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

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

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

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

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Tunable U-Net implementation in PyTorch

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

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

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

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

semantic segmentation pytorch 语义分割

Depth estimation from RGB images using fully convolutional neural networks.

A PyTorch collection of semantic segmentation tools.