# wae\-wgan

[DecompHub listing](<https://app.decomphub.com/projects/wae-wgan>) · [JSON record](<https://app.decomphub.com/data/projects/wae-wgan.json>)

## Description

> Reimplementation of Wasserstein Auto Encoder \(WAE\) with Wasserstein GAN based penalty D\_Z in Tensorflow

- Category: games
- Work types: source\-reconstruction
- Targets: Unknown
- Project status: unknown
- Listing updated: 2026\-10\-12T07:44:02\.185Z
- Listing first published: 2026\-10\-12T07:38:21\.826Z

## Repository

- Repository: [hiwonjoon/wae\-wgan](<https://github.com/hiwonjoon/wae-wgan>)
- License: MIT
- Repository stars: 12
- Stars checked: 2026\-10\-06T23:22:51\.939Z
- Repository metadata checked: 2026\-10\-06T23:22:51\.939Z

## Progress

Each value describes only its stated scope. An observation date is when DecompHub read the source; it is not a publisher measurement date.

### Checklist completion

- Value: approximately 67 %
- Scope: WAE\-WGAN — TODO — 2/3 listed items checked; items are equally weighted
- Date (observed): 2026\-10\-12T07:44:00\.123Z
- Source: [https://github\.com/hiwonjoon/wae\-wgan/blob/HEAD/README\.md](<https://github.com/hiwonjoon/wae-wgan/blob/HEAD/README.md>)

## Project details

- Languages: Jupyter Notebook

## Contributing

- Contribution status: unknown
- Help requested: Not reported
- Contribution instructions: Not reported
- Contribution source: Not reported
- Contribution information checked: Not reported
- AI contribution policy: unspecified
- AI policy source: Not reported

## Listing sources

- [Public repository metadata](<https://github.com/hiwonjoon/wae-wgan>)
- [Discovery query](<https://api.github.com/search/repositories?q=%22reimplementation%22+in%3Aname%2Cdescription+is%3Apublic+fork%3Afalse+created%3A2017-07-02..2018-09-08&sort=updated&order=desc&per_page=100&page=2>)

## Data notes

Descriptions remain in their recorded source language. Missing values are not inferred. Repository licensing is upstream metadata; this export does not grant rights to upstream code or assets.

Schema version: 1. [Public data documentation](<https://decomphub.com/data>).