# wnhsu/FactorizedHierarchicalVAE

<https://repo.masters-masters.com/en/repos/wnhsu/FactorizedHierarchicalVAE>

[Home](https://repo.masters-masters.com/en) › [wnhsu](https://repo.masters-masters.com/en/owners/wnhsu) › [FactorizedHierarchicalVAE](https://repo.masters-masters.com/en/repos/wnhsu/FactorizedHierarchicalVAE)

wnhsu/FactorizedHierarchicalVAE has 156 stars on GitHub. Its RepoMasters card: Prototype tier. This repository contains the code to reproduce the core results…

| Field | Value |
| --- | --- |
| Owner | [wnhsu](https://repo.masters-masters.com/en/owners/wnhsu) |
| Stars | 156 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wnhsu/FactorizedHierarchicalVAE](https://github.com/wnhsu/FactorizedHierarchicalVAE) |

## Repository

This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
