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https://github.com/imperialcollegelondon/zambelli2019_ras_multimodal_vae

Code and dataset for the RAS accepted paper "Multimodal representation models for prediction and control from partial information"

https://github.com/imperialcollegelondon/zambelli2019_ras_multimodal_vae

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
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    Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary
Last synced: 4 months ago · JSON representation

Repository

Code and dataset for the RAS accepted paper "Multimodal representation models for prediction and control from partial information"

Basic Info
  • Host: GitHub
  • Owner: ImperialCollegeLondon
  • Language: Python
  • Default Branch: master
  • Size: 96.7 MB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created over 6 years ago · Last pushed over 6 years ago
Metadata Files
Readme

README.md

Zambelli2019RASmultimodal_VAE

Code and dataset for the RAS accepted paper "Multimodal representation models for prediction and control from partial information"

This repository contains the codebase and the dataset used to generate results for the paper.

Owner

  • Name: Imperial College London
  • Login: ImperialCollegeLondon
  • Kind: organization
  • Email: icgithub-support@imperial.ac.uk
  • Location: Imperial College London

Imperial College main code repository

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