MTGAN

Collection of generative models in Pytorch version.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Medical Concept Annotation Tool

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records

Pytorch implementation of pix2pix for various datasets.

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)