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Digital Health & Machine Learning's Projects

active-segmentation icon active-segmentation

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

contig icon contig

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

d2l-en icon d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

explainability-requires-interactivity icon 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.

faatpipe icon faatpipe

Functional Annotation and Association Testing Pipeline

fast-lmm icon fast-lmm

Python version of Factored Spectrally Transformed Linear Mixed Models

gadgetron icon gadgetron

Gadgetron - Medical Image Reconstruction Framework

limix icon limix

We have moved to https://github.com/limix/limix.

manim icon manim

Animation engine for explanatory math videos

math4ml icon math4ml

Notes on mathematical topics that pertain to machine learning

math4ml-code icon math4ml-code

Python Code for the Mathematics for Machine Learning Lecture

neurocor icon neurocor

A repository to calculate genetic correlations with brain imaging phenotypes

nextflow-pipeline icon nextflow-pipeline

The pipeline for analyzing the UKBiobank data, with variant annotation tool VEP and some in-house tools

pysnptools icon pysnptools

A Python library for reading and manipulating genetic data.

spectral icon 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

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