mlaves Goto Github PK
Name: Max-Heinrich Laves
Type: User
Bio: Medical Imaging
Twitter: MaxLaves
Location: Hamburg, Germany
Blog: https://laves.net
Name: Max-Heinrich Laves
Type: User
Bio: Medical Imaging
Twitter: MaxLaves
Location: Hamburg, Germany
Blog: https://laves.net
A data set containing 3D volumetric OCTs and the corresponding 6D acquisition poses.
Python scripts for laptime and distance assessment during final challenge in first semester project at LUH.
Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)
Implementation of the non-parametric census transform as PyTorch layer.
CotEditor syntax highlighting for CMake files
Utilities for lecture "Computer- und roboter-assistierte Chirurgie"
A small single-server multiple-client app for visualizing GPU utilization in a research lab.
Python modules for 4D image processing of optical coherence tomographies.
Small app that reads your calendar and sets your Mattermost status to "do not disturb" if you have meetings.
An educational repository implementing conditional probabilistic diffusion denoising models for medical imaging.
My GitHub pages
MLX: An array framework for Apple silicon
Implementation of different machine learning models using Apple's Metal Performance Shaders Graph API.
My Emacs configuration for Python hacking.
Creating a deep learning framework in pure NumPy. For educational purposes.
This repository gives example code for NumPy 1.7 C-API.
Code for CARS 2019 paper "Retinal OCT disease classification with variational autoencoder regularization".
Drag race of the same problem implemented in different programming languages.
Easily set Mac Retina display to higher unsupported resolutions
Code for uncertainty estimation in computer-aided diagnosis for BMT 2019 submission.
On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior
Code for uncertainty estimation in computer-aided diagnosis for MIDL 2019 submission.
Helper program to segment laryngeal scenes with a Wacom tablet.
Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.