816 Open source projects that are alternatives of or similar to Deep Unet For Satellite Image Segmentation

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

Open solution to the TGS Salt Identification Challenge

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

A Thai word tokenization library using Deep Neural Network

Fashion item segmentation with deep learning

A PyTorch collection of semantic segmentation tools.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Tunable U-Net implementation in PyTorch

Pruning and other network surgery for trained TF.Keras models.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

PyTorch implementation of UNet++ (Nested U-Net).

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.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Lung segmentation for chest X-Ray images

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

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

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

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

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

High Quality Monocular Depth Estimation via Transfer Learning

3D Unet Equipped with Advanced Deep Learning Methods

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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

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+

Deep neural network to extract intelligent information from invoice documents.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

Implementation of Uformer, Attention-based Unet, in Pytorch

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 implement of U-Net

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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

keras implementation of unet plus plus

Segmentation models with pretrained backbones. PyTorch.

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Page to PAGE Layout Analysis Tool

Distributed Keras Engine, Make Keras faster with only one line of code.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Pytorch implementation for LapSRN (CVPR2017)

#1 Open Source Unity Networking Library

Season 2 of @twosigma's artificial intelligence programming challenge

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Image segmentation - general superpixel segmentation & center detection & region growing

Appearance-and-Relation Networks

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Minimalist implementation of VQ-VAE in Pytorch

Tools for PyTorch

Deep learning for audio denoising

This is a tutorial for PyTorch Geometric on the YooChoose dataset

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Sparse and structured neural attention mechanisms

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

To classify video into various classes using keras library with tensorflow as back-end.

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.