1832 Open source projects that are alternatives of or similar to Keras Unet

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

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

Segmentation models with pretrained backbones. PyTorch.

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

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.

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

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

CRF-RNN PyTorch version http://crfasrnn.torr.vision

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

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

BCDU-Net : Medical Image Segmentation

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 implementation : U-net and FCN with global convolution

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.

Tunable U-Net implementation in PyTorch

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

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

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

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

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

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Deep neural network to extract intelligent information from invoice documents.

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"

A Thai word tokenization library using Deep Neural Network

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

3D Unet Equipped with Advanced Deep Learning Methods

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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+

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Sparse and structured neural attention mechanisms

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

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

keras implementation of unet plus plus

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.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Deep learning applied to georeferenced datasets

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

📚 A collection of papers about Referring Image Segmentation.

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

The code for the MaD TwinNet. Demo page:

Satellite Image Classification using semantic segmentation methods in deep learning

Deepfakes Software For All

Deep neural networks for predicting CpG methylation

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。

A paper list of object detection using deep learning.