Deep Learning with TensorFlow by Packt

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

A list of Medical imaging datasets.

Application of deep learning and convolutional networks for ECG classification

deep learning in ECG classification

A convolutional neural network to detect atrial fibrillation from a single-lead ECG

Ensemble RNN based neural network for ECG anomaly detection

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Convolutional Neural Network implementation from scratch in PyTorch on a big image dataset

Code and data for Cybersecurity Data Science on Udemy

A curated list of GAN basics for tutorial, metrics and recent GAN papers (NIPS/CVPR/ICML)

A list of papers on Generative Adversarial (Neural) Networks

AI Summer's complete catalog of articles

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,…

Code for the emrQA question answering dataset

Converting real-time EEG into sounds, music and visual effects

3D CNN for the American Epilepsy Society Seizure Prediction Challenge

A curated list of radiology report generation (medical report generation) and related areas. :-)

This project is pure Pytorch based website including medical solutions.

Classification of Lung cancer slide images using deep-learning

Ideas and links for creating advanced ML projects.

Tooling for GANs in TensorFlow

Quick script to scrap and save all NeurIPS papers

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

The model and the code of The China Physiological Signal Challenge 2018 champion

A curated collection of free learning resources on topics related to Machine Learning.

Open Source Healthcare System for Odoo

Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!