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3d-machine-learning

A resource repository for 3D machine learning

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

all_things_medium

bimcv-covid-19

Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provide the open scientific community with data of clinical-scientific value that helps early detection of COVID-19

birads_classifier

High-resolution breast cancer screening with multi-view deep convolutional neural networks

brixia-score-covid-19

End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays. Additional material and updates.

covid-19-chest-xray-segmentations-dataset

Lung Segmentations of COVID-19 Chest X-ray Dataset.

covid-19-image-repository

Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data.

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

covid-net

COVID-Net Open Source Initiative

covid-net-1

covidnet-ct

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

datascience

Curated list of Python resources for data science.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

keras-adda

This is an implementation of Adversarial Discriminative Domain Adaptation using Keras for the purpose of visualizing the intermediate activations in a variational approximation of total correlation.

keras-io

Keras documentation, hosted live at keras.io

learnopencv

Learn OpenCV : C++ and Python Examples

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

medical-data

medicaldetectiontoolkit

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.

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

monai

AI Toolkit for Healthcare Imaging

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

niftynet

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

plotneuralnet

Latex code for making neural networks diagrams

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

rcnn

implementations of Recurrent Convolutional Neural Network for object recognition