Metadata-Version: 2.1
Name: deep-svdd
Version: 1.2
Summary: Tensorflow implementation of Deep SVDD
Home-page: https://github.com/nuclearboy95/Deep-SVDD-Tensorflow
Author: Jihun Yi
Author-email: t080205@gmail.com
License: MIT
Platform: UNKNOWN
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: tensorflow-gpu (>=1.12.0)
Requires-Dist: matplotlib
Requires-Dist: tqdm

# Tensorflow Implementation of Deep SVDD
This repository provides a [Tensorflow](https://www.tensorflow.org/) implementation of the *Deep SVDD* method presented in
ICML 2018 paper ”Deep One-Class Classification”.

The author's implementation of *Deep-SVDD* in PyTorch is at [https://github.com/lukasruff/Deep-SVDD-PyTorch](https://github.com/lukasruff/Deep-SVDD-PyTorch).


## Citation and Contact
You find a PDF of the Deep One-Class Classification ICML 2018 paper at
[http://proceedings.mlr.press/v80/ruff18a.html](http://proceedings.mlr.press/v80/ruff18a.html).


## Installation
This code is written in `Python 3.5` and tested with `Tensorflow 1.12`.

Install using pip or clone this repository.

1. Installation using pip:
```bash
pip install deep-svdd
```

and

```python
from dsvdd import DeepSVDD
```

2. Clone this repository:

```bash
git clone https://github.com/nuclearboy95/Deep-SVDD-Tensorflow.git
```

