Skip to main content

Tensorflow implementation of OCGAN

Project description

# Tensorflow Implementation of OCGAN This repository provides a [Tensorflow]( implementation of the OCGAN presented in CVPR 2019 paper “[OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations](”.

The author’s implementation of OCGAN in MXNet is at [here](

## Installation This code is written in Python 3.5 and tested with Tensorflow 1.13.

Install using pip or clone this repository.

1. Installation using pip: `bash pip install ocgan `


`python from ocgan import OCGAN `

  1. Clone this repository:

`bash git clone `

Project details

Release history Release notifications | RSS feed

This version


Download files

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

Files for ocgan, version 1.0
Filename, size File type Python version Upload date Hashes
Filename, size ocgan-1.0-py3-none-any.whl (6.7 kB) File type Wheel Python version py3 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page