vanamsterdam Goto Github PK
Name: Wouter van Amsterdam
Type: User
Twitter: WvanAmsterdam
Blog: vanamsterdam.github.io
Name: Wouter van Amsterdam
Type: User
Twitter: WvanAmsterdam
Blog: vanamsterdam.github.io
A framework for data augmentation for 2D and 3D image classification and segmentation
Binary marginally constrained models - code to reproduce experiments in "Conditional average treatment effect estimation with marginally constrained models"
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"
Can we learn the direction of cause and effect from data alone?
Archival repository for replicating published results
Course project for coursera practical machine learning
Project for the Developing data products course on coursera
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
fast.ai Courses
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Made for the data science online Coursera course
The Leek group guide to data sharing
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
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
DeepSurv is a deep learning approach to survival analysis.
Get started with your own dotfiles.
Efficient Architecture Search by Network Transformation
Code to reproduce results from Eliminating Biasing Signals in Lung Cancer Images for Prognosis Predictions with Deep Learning, van Amsterdam et al. 2019
Simulations and assigments for epidemiological questions
Repository for statistical courses followed during Epidemiology Graduate Program of Julius Center Utrecht, the Netherlands
R package with functions for epidemiology and statistics
Plotting Assignment 1 for Exploratory Data Analysis
A Re-implementation of Fixed-update Initialization
Coursera course, part of Data Science Specialization
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
Hardware accelerated, batchable and differentiable optimizers in JAX.
Kaggle datascience bowl 2017
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.