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        "description": "# Tensorflow Implementation of OCGAN\nThis repository provides a [Tensorflow](https://www.tensorflow.org/) implementation of the *OCGAN* presented in\nCVPR 2019 paper \"[OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations](http://openaccess.thecvf.com/content_CVPR_2019/papers/Perera_OCGAN_One-Class_Novelty_Detection_Using_GANs_With_Constrained_Latent_Representations_CVPR_2019_paper.pdf)\".\n\nThe author's implementation of *OCGAN* in MXNet is at [here](https://github.com/PramuPerera/OCGAN).\n\n\n## Installation\nThis code is written in `Python 3.5` and tested with `Tensorflow 1.13`.\n\nInstall using pip or clone this repository.\n\n1. Installation using pip:\n```bash\npip install ocgan\n```\n\nand\n\n```python\nfrom ocgan import OCGAN\n```\n\n2. Clone this repository:\n\n```bash\ngit clone https://github.com/nuclearboy95/Deep-SVDD-Tensorflow.git\n```\n\n\n",
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