Wouter van Amsterdam's repositories

lidc-binary-classification

This repository contains code to pre-process the LIDC-IDRI dataset of CT-scans with pulmonary nodules into a binary classification problem, easy to use for learning deep learning

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elimbias

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

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causal-data-science-summerschool

Course website and materials for Causal Data Science Summerschool - University Medical Center Utrecht

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batchgenerators

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

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binarymcm

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

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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"

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controlling-for-biasing-signals-in-images

Archival repository for replicating published results

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COVID-19

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

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dotfiles

Get started with your own dotfiles.

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Fixup

A Re-implementation of Fixed-update Initialization

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iResNet

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

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jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

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markdown-cv

academic CV in rmarkdown

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numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

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penalized

:exclamation: This is a read-only mirror of the CRAN R package repository. penalized — L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model

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pretrainedresnet3d

3D ResNets for Action Recognition (CVPR 2018)

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protect

Implementation of PROTECT: proxy based individual treatment effect modeling in cancer

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pycox

Survival analysis with PyTorch

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pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

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pytorch-lightning-conference-seed

Pytorch Lightning code guideline for conferences

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robvis

:heavy_check_mark: :grey_question: :x: A package to quickly visualise risk-of-bias assessment results

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selectiveisolation

Repository for modeling different forms of (selective) isolation for the COVID-19 outbreak

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smcfcs

R package implementing Substantive Model Compatible Fully Conditional Specification Multiple Imputation

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survival

Survival package for R

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synthea

Synthetic Patient Population Simulator

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vanamsterdam.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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vim-snippets

vim-snipmate default snippets (Previously snipmate-snippets)

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