# akshitac8/tfvaegan

<https://repo.masters-masters.com/en/repos/akshitac8/tfvaegan>

[Home](https://repo.masters-masters.com/en) › [akshitac8](https://repo.masters-masters.com/en/owners/akshitac8) › [tfvaegan](https://repo.masters-masters.com/en/repos/akshitac8/tfvaegan)

akshitac8/tfvaegan has 130 stars on GitHub. Its RepoMasters card: Prototype tier. \[ECCV 2020\] Official Pytorch implementation for "Latent Embedding Feedback…

| Field | Value |
| --- | --- |
| Owner | [akshitac8](https://repo.masters-masters.com/en/owners/akshitac8) |
| Stars | 130 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | zero-shot-learning, image-classification, f-vaegan, clswgan, action-recognition, eccv2020, gzsl, gan, zsl, pytorch-gan |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [akshitac8/tfvaegan](https://github.com/akshitac8/tfvaegan) |

## Repository

\[ECCV 2020\] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

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.
