CliMB: An AI-enabled Partner for Clinical Predictive Modeling

A collection of important graph embedding, classification and representation learning papers with implementations.

conditional variational autoencoder written in Keras

Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018

Code for FPI submission to MOOD 2020

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis