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

deep_svdd-1.3-py3-none-any.whl (5.2 kB view details)

Uploaded Python 3

File details

Details for the file deep_svdd-1.3-py3-none-any.whl.

File metadata

  • Download URL: deep_svdd-1.3-py3-none-any.whl
  • Upload date:
  • Size: 5.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.3.2 requests/2.14.2 setuptools/41.4.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.5.2

File hashes

Hashes for deep_svdd-1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4aa67b05511cfc1d9dd60a0a666346907c7f704628081a3b5c49fd44f965624f
MD5 a5de4045e5094c886cd036fe6aeca9db
BLAKE2b-256 542dcc0cb0ae63da58af1e842f2b9c1b3cee9e5ad2d2ec36083f8449058a9ce3

See more details on using hashes here.

Supported by

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