# issamlaradji/m-adda

**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/issamlaradji-m-adda).**

113 stars · 27 forks · Python

## Links

- GitHub: https://github.com/IssamLaradji/M-ADDA
- awesome-repositories: https://awesome-repositories.com/repository/issamlaradji-m-adda.md

## Description

Domain Adaptation Based on the Triplet Loss

## Tags

### Part of an Awesome List

- [Adversarial Adaptation Methods](https://awesome-repositories.com/f/awesome-lists/ai/adversarial-adaptation-methods.md) — Unsupervised domain adaptation with deep metric learning.