Max-Heinrich Laves's repositories
well-calibrated-regression-uncertainty
Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
bayesian-temperature-scaling
Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)
uncertainty-deep-image-prior
On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior
census-transform-pytorch
Implementation of the non-parametric census transform as PyTorch layer.
uncertainty-midl
Code for uncertainty estimation in computer-aided diagnosis for MIDL 2019 submission.
3doct-pose-dataset
A data set containing 3D volumetric OCTs and the corresponding 6D acquisition poses.
oct-classification-vae-regularization
Code for CARS 2019 paper "Retinal OCT disease classification with variational autoencoder regularization".
curac_utils
Utilities for lecture "Computer- und roboter-assistierte Chirurgie"
medical_diffusion
An educational repository implementing conditional probabilistic diffusion denoising models for medical imaging.
uncertainty-bmt
Code for uncertainty estimation in computer-aided diagnosis for BMT 2019 submission.
coteditor-cmake
CotEditor syntax highlighting for CMake files
gpu_dashboard
A small single-server multiple-client app for visualizing GPU utilization in a research lab.
MattermostMeetingStatus
Small app that reads your calendar and sets your Mattermost status to "do not disturb" if you have meetings.
mlaves.github.io
My GitHub pages
mlx
MLX: An array framework for Apple silicon
MPSGraphModels
Implementation of different machine learning models using Apple's Metal Performance Shaders Graph API.
my-emacs-config
My Emacs configuration for Python hacking.
numpy-c-example
This repository gives example code for NumPy 1.7 C-API.
programming_drag_race
Drag race of the same problem implemented in different programming languages.
vocal_fold_segmentation
Helper program to segment laryngeal scenes with a Wacom tablet.