HealthML/seak

Stars
2
Language
Python
License
Apache License 2.0
Created over 4 years ago
Updated over 1 year ago

HealthML/seak

HealthML

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self-supervised-3d-tasks

ContIG

This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics

active-segmentation

ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation

Deep-Learning-Lecture

HPI Deep Learning Lecture

ukb-200k-wes-vep

UK Biobank 200k whole exome sequencing variant effect predictions

explainability-requires-interactivity

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.

Math4ML-Lecture

HPI Mathematics for Machine Learning Lecture

StyleGAN2-Hypotheses-Explorer

Implementation of the interactive framework from the paper "Explainability Requires Interactivity". See https://github.com/HealthML/explainability-requires-interactivity for the code to reproduce experiments from the paper.

AntiSplodge

Spatial Transcriptomics deconvolution pipeline

Jupyter Notebook

vseg

Jupyter Notebook

lucid-torch

Jupyter Notebook

faatpipe

Functional Annotation and Association Testing Pipeline