peterparity/PDE-VAE-pytorch
PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
PythonMIT
Stargazers
- 54lH
- canbozdoganEindhoven, NL
- christina-winklerTechnical University of Munich
- connor-duffinNatural History Museum
- federico-m-lopez
- fengshouboDalian University of Technology
- hanmingcrUniversity of Chicago
- hongyehuHarvard University
- hujinghaoabcdUniversity of Chinese Academy of Sciences
- jcolenOld Dominion University
- jejjohnsonCSIC-UCM-IGEO
- jess310t@Yale
- jessezbynanjing, china
- jmj2316KAIST
- joshualin24University of Illinois at Urbana-Champaign
- JuntaoHuangTexas Tech University
- Kartik-Swt
- LarryiHarbin Engineering University
- luningsunUniversity of Notre Dame
- lw-kongCornell University
- odakyildizImperial College London
- pigofmomo
- RahulSundarBio-mimetics Lab, Indian Institute of Technology Madras
- siwuxei@Beihang University
- smilerrrr
- tobifinnÉcole des Ponts ParisTech
- uziuzihanHong Kong
- vghyv
- wongsihan
- XingyueRen
- zhonghua-zhengThe University of Manchester
- ZikkyZhou