Pinned Repositories
active-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
AntiSplodge
Spatial Transcriptomics deconvolution pipeline
ContIG
This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics
Deep-Learning-Lecture
HPI Deep Learning Lecture
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
seak
self-supervised-3d-tasks
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.
ukb-200k-wes-vep
UK Biobank 200k whole exome sequencing variant effect predictions
Digital Health & Machine Learning's Repositories
HealthML/self-supervised-3d-tasks
HealthML/ContIG
This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics
HealthML/active-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
HealthML/Deep-Learning-Lecture
HPI Deep Learning Lecture
HealthML/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.
HealthML/ukb-200k-wes-vep
UK Biobank 200k whole exome sequencing variant effect predictions
HealthML/Math4ML-Lecture
HPI Mathematics for Machine Learning Lecture
HealthML/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.
HealthML/AntiSplodge
Spatial Transcriptomics deconvolution pipeline
HealthML/seak
HealthML/faatpipe
Functional Annotation and Association Testing Pipeline
HealthML/lucid-torch
HealthML/Math4ML-Code
Python Code for the Mathematics for Machine Learning Lecture
HealthML/AdaScreen
AdaScreen - Ensembles of Screening Rules
HealthML/AntiSplodge_Turorial
Tutorial for AntiSplodge with all the required datasets to get going!
HealthML/d2l-en
Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
HealthML/deep-learning-notes
My CS231n lecture notes
HealthML/FaST-LMM
Python version of Factored Spectrally Transformed Linear Mixed Models
HealthML/gadgetron
Gadgetron - Medical Image Reconstruction Framework
HealthML/manim
Animation engine for explanatory math videos
HealthML/math4ml
Notes on mathematical topics that pertain to machine learning
HealthML/MFD
HealthML/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
HealthML/neurocor
A repository to calculate genetic correlations with brain imaging phenotypes
HealthML/Nextflow-pipeline
The pipeline for analyzing the UKBiobank data, with variant annotation tool VEP and some in-house tools
HealthML/pathology-ml-model-training
A tool to enable biologists to train a machine learning model for their pathology images.
HealthML/PySnpTools
A Python library for reading and manipulating genetic data.
HealthML/spectral
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
HealthML/STATS331
Lecture notes for an introductory undergraduate course in Bayesian Inference
HealthML/transfer-gwas-brain-mri