# vithursant/MagnetLoss-PyTorch

<https://repo.masters-masters.com/en/repos/vithursant/MagnetLoss-PyTorch>

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

vithursant/MagnetLoss-PyTorch has 218 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of a deep metric learning technique called…

| Field | Value |
| --- | --- |
| Owner | [vithursant](https://repo.masters-masters.com/en/owners/vithursant) |
| Stars | 218 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | metric-learning, cnn, pytorch, classification, docker, deep-learning, embeddings, anaconda |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [vithursant/MagnetLoss-PyTorch](https://github.com/vithursant/MagnetLoss-PyTorch) |

## Repository

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

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.
