Skip to main content

Tensorflow implementation of Deep SVDD

Project description

# 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 `

  1. Clone this repository:

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

deep_svdd-1.0-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file deep_svdd-1.0-py3-none-any.whl.

File metadata

  • Download URL: deep_svdd-1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.3.2 requests/2.14.2 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.5.2

File hashes

Hashes for deep_svdd-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b65ee4a0a1a0aae1266ef59438f7e8c3e9118250c3b1fd394b6316fce6d367c9
MD5 14442648a2c1bbd6188271372907dcad
BLAKE2b-256 af4ee58ef7c8d97e44c0586ebc66b54edea982326f51ee752906329807405ca1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page