maftouni

Awesome-Convolutional-Attention-Mechanism-papers

The most influential papers in convolutional attention mechanisms, suitable for image classification, image and video object segmentation and tracking

Battery_Aging

binary_mask_from_json

Making binary mask images from JSON annotation

Corona_CT_Classification

COVID-19

CovidGlobal

Code & model files for Rahmandad, Lim & Sterman (2020), Estimating the global spread of COVID-19

Curated_Covid_CT

We built a large lung CT scan dataset for COVID-19 by curating data from 7 different public datasets. These datasets have been publicly used in COVID-19 diagnosis literature and proven their efficiency in deep learning applications. Therefore, the merged dataset is expected to improve the generalization ability of deep learning methods by learning from all these resources together.

Patient_Aware_Splitter

It is important not to split images of the same patient between the test and train sets to avoid overfitting. This repository splits a sample Covid/Normal classification dataset into test and train sets in a patient aware and stratified manner.

SegLoss

A collection of loss functions for medical image segmentation

maftouni/binary_mask_from_json

Making binary mask images from JSON annotation

maftouni/Corona_CT_Classification

maftouni/Curated_Covid_CT

We built a large lung CT scan dataset for COVID-19 by curating data from 7 different public datasets. These datasets have been publicly used in COVID-19 diagnosis literature and proven their efficiency in deep learning applications. Therefore, the merged dataset is expected to improve the generalization ability of deep learning methods by learning from all these resources together.

maftouni/Awesome-Convolutional-Attention-Mechanism-papers

The most influential papers in convolutional attention mechanisms, suitable for image classification, image and video object segmentation and tracking

maftouni/Battery_Aging

maftouni/COVID-19

maftouni/CovidGlobal

Code & model files for Rahmandad, Lim & Sterman (2020), Estimating the global spread of COVID-19

maftouni/Patient_Aware_Splitter

It is important not to split images of the same patient between the test and train sets to avoid overfitting. This repository splits a sample Covid/Normal classification dataset into test and train sets in a patient aware and stratified manner.

maftouni/SegLoss

A collection of loss functions for medical image segmentation

maftouni/Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

maftouni/COVIDNet-CT

COVID-Net Open Source Initiative - Models for COVID-19 Detection from Chest CT

maftouni/ds-first-steps

maftouni/excel-to-pandas-demo

maftouni/fastbook

Draft of the fastai book

maftouni/FEELVOS

FEELVOS implementation in PyTorch; FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

maftouni/GSCNN

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

maftouni/hsn

Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

maftouni/image

PHP Image Manipulation

maftouni/Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

maftouni/indigo

:ramen: Minimalist Jekyll Template

maftouni/maftouni.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

maftouni/pandas-viz-demo

maftouni/Pandas_Jump_Start

Pandas is the library one should master for data wrangling and analysis, and to prepare data for machine learning pipeline. This repository is a jump start to Pandas and its most useful functions.

maftouni/RANet

RANet: Ranking Attention Network for Fast Video Object Segmentation (VOS), ICCV2019

maftouni/robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

maftouni/rvos

RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)

maftouni/STM

Video Object Segmentation using Space-Time Memory Networks

maftouni/TernausNet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

maftouni/TianchiVideoCharacterSegmentationPreliminary

maftouni/Time_Series_Muti_Step_Ahead_Prediction

There is a safety concern about temperature spike during the cutting. Our goal is to predict the temperature spike height and location multiple steps ahead to prevent it by adjusting the parameters of the machine through a closed-loop control system.