Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Deep Learning Specialization by Andrew Ng on Coursera.

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Generative Adversarial Networks for Computationally Efficient Radiotherapy

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

Quiz & Assignment of Coursera

Coursera Neural Networks for Machine Learning by Geoffrey Hinton

Using the pix2pix library to apply machine learning to Brain Lesion Segmentation images

Solutions to all quiz and all the programming assignments!!!

fast.ai Courses

Implementation of VoxResNet for 3D brain segmentation

Solutions to the assignments of fast.ai.

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

Right Ventricle Cardiac MRI Segmentation

Based on the historical electricity consumption data of more than 1000 enterprises in a high-tech Zone, design algorithms to predict the daily total electricity consumption of the Zone in next mont…

Predicting TimeSeries with Neural Networks

LivingSocial API Design Guide

a tensorflow implementation of WGAN

Graph-based Attention Model

Deep Learning Toolkit for Medical Image Analysis

Deep Learning Papers on Medical Image Analysis