https://github.com/ahmdtaha/svmax

SVMax : A Feature Embedding Regularizer
https://github.com/ahmdtaha/svmax

deep-learning feature-embedding machine-learning metric-learning pytorch retrieval-systems tensorflow

Last synced: 16 days ago
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SVMax : A Feature Embedding Regularizer

• Host: GitHub
• URL: https://github.com/ahmdtaha/svmax
• Owner: ahmdtaha
• License: apache-2.0
• Created: 2021-02-12T15:54:30.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-11-19T20:23:41.000Z (about 2 years ago)
• Last Synced: 2024-11-06T21:44:54.492Z (2 months ago)
• Topics: deep-learning, feature-embedding, machine-learning, metric-learning, pytorch, retrieval-systems, tensorflow
• Language: Python
• Homepage:
• Size: 24.4 KB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        
# SVMax: A Feature Embedding Regularizer

The official implementation of [`SVMax: A Feature Embedding Regularizer`](https://arxiv.org/abs/2103.02770)

## Requirements

* Python 3+ [Tested on 3.7]

* Tensorflow 2.X [Tested on 2.0]

## Usage example

The toy mnist script `mnist_embedding.py` is straight-forward to run -- no external dependencies. Set the variable `svmax_enabled` to turn SVMax On/Off.

## Release History

* 1.0.0

    * Add a toy Tensorflow example on Feb 20, 2021

    * Add a toy PyTorch example on Feb 21, 2021

    * Add a toy MNIST project to the 2D unit circle on Mar 5, 2021

Contributor list

----------------

1. [Ahmed Taha](http://www.ahmed-taha.com)

2. [Alex Hanson](https://github.com/j-alex-hanson)

### Citation

```

@article{taha2021svmax,

  title={SVMax: A Feature Embedding Regularizer},

  author={Taha, Ahmed and Hanson, Alex and Shrivastava, Abhinav and Davis, Larry},

  journal={arXiv preprint arXiv:2103.02770},

  year={2021}

}

```