6381 Open source projects that are alternatives of or similar to Unet

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

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

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

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

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

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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.

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FC-DenseNet in PyTorch for Semantic Segmentation

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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

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

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

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Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

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

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

Simplest and fastest image and text annotation tool.

An awesome semantic segmentation model that runs in real time

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

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

Introduction to Deep Neural Networks with Keras and Tensorflow

Примеры для курса "Программирование глубоких нейронных сетей на Python"

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

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

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

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

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

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

Fast and Easy Infinite Neural Networks in Python

深度学习论文阅读、数据仓库实践体验。比做算法的懂工程落地，比做工程的懂算法模型。

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