Giter Site home page Giter Site logo

ushcn_dgm's Introduction

Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models - USHCN experiments

This repository contains code for reproducing the USHCN experiments of the PhD thesis of Philippe Wenk. This repository contains two code bases.

gru_ode_bayes is used for preprocessing and has been built using the github repository published alongside the paper GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. Please cite their work when using this code.

DGM_Extension contains a modified version of the DGM algorithm, with adaptation as described in the PhD thesis of Philippe Wenk.

ushcn_dgm's People

Contributors

wenkph avatar

Watchers

Andreas Krause avatar avatar David Lindner avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.