GitHub - zywvvd/SwissRoll-VAE-pytorch: VAE model for approximating the distribution of the Swiss roll dataset.

8000 GitHub - zywvvd/SwissRoll-VAE-pytorch: VAE model for approximating the distribution of the Swiss roll dataset.

More Web Proxy on the site http://driver.im/

zywvvd / SwissRoll-VAE-pytorch Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

VAE model for approximating the distribution of the Swiss roll dataset.

1 star 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
lib		lib
README.md		README.md
train.py		train.py

Repository files navigation

Implementation of VAE on Swiss Roll dataset

dataset

from sklearn.datasets import make_swiss_roll
swiss_roll_samples, _ = make_swiss_roll(size, noise=0.3)

data looks like in 2D

requirement

torch 1.8+

usage

python train

results

References

https://github.com/AntixK/PyTorch-VAE

About

VAE model for approximating the distribution of the Swiss roll dataset.

Report repository

Releases

No releases published

Packages

No packages published

Contributors 2

Languages

Python 100.0%

0