neale/Adversarial-Autoencoder neale/Adversarial-Autoencoder

  • Stars
    star
    83
  • Rank 390,612 (Top 8 %)
  • Language
    Python
  • License
    MIT License
  • Created over 6 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
neale/Adversarial-Autoencoder
github

neale

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

An adversarial autoencoder implementation in pytorch

More Repositories

1

HyperGAN

Generative Model for Neural Networks
Python
23
star
2

avoiding-side-effects

Code for reproducing the results from the paper Avoiding Side Effects in Complex Environments
Python
12
star
3

CPPN

CPPN my style. Generate reproducible random images
Python
5
star
4

hypergan_rl

Small repo containing just the code that needs to be reproduced from the ICLR submission.
Python
2
star
5

Improved-WGAN

WGAN-GP Implemented in Python3 with PyTorch 0.4.1
Python
2
star
6

neural-canvas

creative deep learning with implicit neural representations
Python
2
star
7

Procgen_bench

A (slightly) retooled DeepRL codebase for procgen environments
Python
2
star
8

Dotfiles

The most frustratingly efficient dotfiles anywhere
Shell
1
star
9

foobar

Solutions to most of the Google Foobar problems
Python
1
star
10

particle-based-vi_ood

Implementation of particle based VI methods for OOD detection
Python
1
star