healthml Goto Github PK
Name: Digital Health & Machine Learning
Type: Organization
Location: Potsdam, Germany
Blog: https://hpi.de/forschung/fachgebiete/digital-health-machine-learning.html
Name: Digital Health & Machine Learning
Type: Organization
Location: Potsdam, Germany
Blog: https://hpi.de/forschung/fachgebiete/digital-health-machine-learning.html
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
AdaScreen - Ensembles of Screening Rules
Spatial Transcriptomics deconvolution pipeline
Tutorial for AntiSplodge with all the required datasets to get going!
This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
HPI Deep Learning Lecture
My CS231n lecture notes
Code to reproduce experiments in the paper "Explainability Requires Interactivity". See https://github.com/HealthML/StyleGAN2-Hypotheses-Explorer/ for the implementation of the interactive framework.
Functional Annotation and Association Testing Pipeline
Python version of Factored Spectrally Transformed Linear Mixed Models
Gadgetron - Medical Image Reconstruction Framework
We have moved to https://github.com/limix/limix.
Animation engine for explanatory math videos
Notes on mathematical topics that pertain to machine learning
Python Code for the Mathematics for Machine Learning Lecture
HPI Mathematics for Machine Learning Lecture
Companion webpage to the book "Mathematics For Machine Learning"
A repository to calculate genetic correlations with brain imaging phenotypes
The pipeline for analyzing the UKBiobank data, with variant annotation tool VEP and some in-house tools
A tool to enable biologists to train a machine learning model for their pathology images.
A Python library for reading and manipulating genetic data.
A jekyll theme for the spectral template by html5up.net (@ajlkn). Demo: http://arkadianriver.github.io/spectral. How to jekyll: http://jekyllrb.com/docs/home/. If you intend to use this theme as a blog site with more than a few pages, have a look at my fork at https://github.com/arkadianriver/arkadianriver.com
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.