Mohamed Amgad Tageldin's repositories
Healthcare-Database-APIs
Tools for interaction with various healthcare databases, including CDC, chicagohealthatlas etc
StainTools
Tools for tissue image stain normalization and augmentation in Python 3. [python, scientific]
ActiveLearning
Software and documentation from the active learning project on interactive classification.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
crowd_truth_infer
This is the framework with 17 existing crowdsourced truth inference algorithms.
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
digital_slide_archive
The official deployment of the Digital Slide Archive and HistomicsTK.
FastMaskRCNN
Mask RCNN in TensorFlow
Fully-Connected-DenseNets-Semantic-Segmentation
Fully Connected DenseNet for Image Segmentation (https://arxiv.org/pdf/1611.09326v1.pdf)
hickle
a HDF5-based python pickle replacement
HistoQC
HistoQC is an open-source quality control tool for digital pathology slides
imagecluster
Cluster images based on image content using a pre-trained deep neural network and hierarchical clustering
intro-git-demo
This code is for an introduction to Git at Emory University.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MINNs
Codes for our paper "Revisiting Multiple Instance Neural Networks".
misvm
Multiple-Instance Support Vector Machines
neuralnets
Deep Learning libraries tested on images and time series
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
pytorch_tutorial
PyTorch tutorial for PyData Berlin
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
tensorflow-fcn
An Implementation of Fully Convolutional Networks in Tensorflow.
TensorFlow-MIL
TF Implementation of Multiple Instance Learning FCN.
tfwss
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
ultrasound-nerve-segmentation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
unet
unet for image segmentation