Digital Health & Machine Learning's repositories
active-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
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.
ukb-200k-wes-vep
UK Biobank 200k whole exome sequencing variant effect predictions
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
AntiSplodge_Turorial
Tutorial for AntiSplodge with all the required datasets to get going!
deep-learning-notes
My CS231n lecture notes
FaST-LMM
Python version of Factored Spectrally Transformed Linear Mixed Models
Math4ML-Code
Python Code for the Mathematics for Machine Learning Lecture
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Nextflow-pipeline
The pipeline for analyzing the UKBiobank data, with variant annotation tool VEP and some in-house tools
pathology-ml-model-training
A tool to enable biologists to train a machine learning model for their pathology images.
PySnpTools
A Python library for reading and manipulating genetic data.
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