Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

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

PyTorch Tutorial for Deep Learning Researchers

Official PyTorch Implementation of SAGPool - ICML 2019

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

PyTorch implementation of Grad-CAM

Pytorch Tutorial for Non-Euclidean Graph Representations