# taldatech/soft-intro-vae-pytorch

<https://repo.masters-masters.com/en/repos/taldatech/soft-intro-vae-pytorch>

[Home](https://repo.masters-masters.com/en) › [taldatech](https://repo.masters-masters.com/en/owners/taldatech) › [soft-intro-vae-pytorch](https://repo.masters-masters.com/en/repos/taldatech/soft-intro-vae-pytorch)

taldatech/soft-intro-vae-pytorch has 197 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR 2021 Oral\] Official PyTorch implementation of…

| Field | Value |
| --- | --- |
| Owner | [taldatech](https://repo.masters-masters.com/en/owners/taldatech) |
| Stars | 197 |
| Forks | 31 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | vae-pytorch, vae, pytorch, cvpr2021, soft-introvae, soft-intro-vae, variational-autoencoder, image-generation, density-estimation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [taldatech/soft-intro-vae-pytorch](https://github.com/taldatech/soft-intro-vae-pytorch) |

## Repository

\[CVPR 2021 Oral\] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

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.