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batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

binarymcm

Binary marginally constrained models - code to reproduce experiments in "Conditional average treatment effect estimation with marginally constrained models"

bodycomp-survival-public

Repository with code for "The association between muscle quantity and overall survival depends on radiodensity: a cohort study in non-small cell lung cancer patients"

causeeffectpairs

Can we learn the direction of cause and effect from data alone?

controlling-for-biasing-signals-in-images

Archival repository for replicating published results

coursera_machine_learning

Course project for coursera practical machine learning

coursera_read_time

Project for the Developing data products course on coursera

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

fast.ai Courses

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

datasciencecoursera

Made for the data science online Coursera course

datasharing

The Leek group guide to data sharing

deep-metric-learning-gaussian-kernel-nn

Attempt at implementing DEEP METRIC LEARNING AND IMAGE CLASSIFICATION WITH NEAREST NEIGHBOUR GAUSSIAN KERNELS Benjamin J. Meyer, Ben Harwood, Tom Drummond ARC Centre of Excellence for Robotic Vision, Monash University

deep-survival

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

deepsurv

DeepSurv is a deep learning approach to survival analysis.

dotfiles

Get started with your own dotfiles.

eas

Efficient Architecture Search by Network Transformation

elimbias

Code to reproduce results from Eliminating Biasing Signals in Lung Cancer Images for Prognosis Predictions with Deep Learning, van Amsterdam et al. 2019

epi_simulations

Simulations and assigments for epidemiological questions

epi_stats

Repository for statistical courses followed during Epidemiology Graduate Program of Julius Center Utrecht, the Netherlands

epistats

R package with functions for epidemiology and statistics

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fixup

A Re-implementation of Fixed-update Initialization

flax

getting_and_cleaning_data

Coursera course, part of Data Science Specialization

inception

iresnet

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

kaggle_ndsb2017

Kaggle datascience bowl 2017