Code for Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss.

Guide for installing Ubuntu on the Legion Y530

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

LiTS - Liver Tumor Segmentation Challenge

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

3.8% and 18.3% on CIFAR-10 and CIFAR-100

RadIO is a library for data science research of computed tomography imaging

Pytorch implementation of β-VAE

a pytorch code about Residual Attention Network. This code is based on two projects from

This is a pytorch implementation of Deep-INFOMAX.

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"