# engharat/sbadagan

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/engharat-sbadagan).**

_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

15 stars · 2 forks · Jupyter Notebook · Apache-2.0

## Links

- GitHub: https://github.com/engharat/SBADAGAN
- awesome-repositories: https://awesome-repositories.com/repository/engharat-sbadagan.md

## Description

SBADA-GAN CVPR 2018 code This is a preliminary release, as the code needs a massive cleanup being extremely verbose in this current state. In the Mnist_MnistM notebook can be found an example of how to run SBADA-GAN on Mnist -> MnistM Domain Adaptation task.

## Tags

### Part of an Awesome List

- [Adversarial Adaptation Methods](https://awesome-repositories.com/f/awesome-lists/ai/adversarial-adaptation-methods.md) — Symmetric bi-directional adaptive GAN for domain transfer.
