Name: Roland Kwitt
Type: User
Company: University of Salzburg
Bio: Roland Kwitt is a Professor for Machine Learning at the Department of Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg, Austria.
Twitter: rkwitt1982
Location: Salzburg, Austria
Blog: https://rkwitt.github.io/
Roland Kwitt's Projects
Attribute-Guided Augmentation
CalaTK is an open-source toolkit for cross-sectional and longitudinal atlas building.
Modeling of wavelet coefficient statistics using copulas (with application to image retrieval)
A web app for ranking computer science departments according to their research output in selective venues.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Excess capacity measurements in neural networks
Source code for X. Yang et al., "Fast Predictive Image Registration"
Fast computation of Gauss transforms in multiple dimensions; enables efficient Kernel Density Estimation (KDE) with Gaussian kernels.
A fork of Sebastian Nowozin's and Koji Tsuda's gboost code
A Jekyll version of the "Highlights" theme by HTML5 UP.
Code for reproducing ICT ( published in IJCAI 2019)
A lightweight, cross-platform 2D/3D medical image viewer.
Minimal is a Jekyll theme for GitHub Pages
The code related to my nips puplication: Deep Learning with Topological Signatures
Persistence Learning
Robust polynomial fitting using RANSAC
Estimation of Dirichlet mixture models via Generalized Expectation-Maximization (GEM)
Python Fine-Structure Analysis (FSA) for graphs
Predictive Image Registration
Demo repository
ipython notebooks for learning how to use SimpleITK
The slimC self-compiling compiler
Teaching Material
Private teaching stuff
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.