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This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch...
nlp
lstm
updated
coursera
andrew-ng
tensorflow
deep-learning
computer-vision
neural-networks
face-recognition
machine-learning
object-detection
unet-segmentation
deep-learning-coursera
deep-learning-andrew-ng
transformer-architecture
recurrent-neural-networks
andrew-ng-machine-learning
deep-learning-specialization
convolutional-neural-networks
Created
2021-10-28
116 commits to main branch, last one about a year ago
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...
Created
2019-02-02
18 commits to master branch, last one about a year ago
Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
Created
2020-11-23
25 commits to main branch, last one 3 years ago
The U-Net Segmentation plugin for Fiji (ImageJ)
Created
2018-11-09
95 commits to master branch, last one 2 years ago
This repository contains the code for semantic segmentation of the retina blood vessel on the DRIVE dataset using the PyTorch framework.
Created
2021-07-12
21 commits to main branch, last one 3 years ago
This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"
Created
2024-03-29
67 commits to main branch, last one 4 months ago
Official code for Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
Created
2022-12-15
18 commits to main branch, last one 11 months ago
Segmentation models for 3D data with different backbones. PyTorch.
Created
2024-02-21
12 commits to main branch, last one 3 months ago