# AntixK/PyTorch-VAE

<https://repo.masters-masters.com/en/repos/AntixK/PyTorch-VAE>

[Home](https://repo.masters-masters.com/en) › [AntixK](https://repo.masters-masters.com/en/owners/AntixK) › [PyTorch-VAE](https://repo.masters-masters.com/en/repos/AntixK/PyTorch-VAE)

AntixK/PyTorch-VAE has 7,683 stars on GitHub. Its RepoMasters card: Stable tier. A Collection of Variational Autoencoders (VAE) in PyTorch. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [AntixK](https://repo.masters-masters.com/en/owners/AntixK) |
| Stars | 7,683 |
| Forks | 1,179 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | pytorch, pytorch-implementation, vae, vae-implementation, deep-learning, reproducible-research, paper-implementations, pytorch-vae, variational-autoencoders, architecture |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [AntixK/PyTorch-VAE](https://github.com/AntixK/PyTorch-VAE) |

## Repository

A Collection of Variational Autoencoders (VAE) in PyTorch.

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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