Metadata-Version: 1.0
Name: torchgan
Version: 0.0.2
Summary: Research Framework for easy and efficient training of GANs based on Pytorch
Home-page: https://github.com/torchgan/torchgan
Author: Avik Pal & Aniket Das
Author-email: torchgan@gmail.com
License: MIT
Description: # TorchGAN
        
        [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
        [![Build Status](https://travis-ci.org/torchgan/torchgan.svg?branch=master)](https://travis-ci.org/torchgan/torchgan)
        [![License](http://img.shields.io/badge/license-MIT-brightgreen.svg?style=flat)](LICENSE)
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        [![Stable Documentation](https://img.shields.io/badge/docs-stable-blue.svg)](https://torchgan.readthedocs.io/en/stable/)
        [![Latest Documentation](https://img.shields.io/badge/docs-latest-blue.svg)](https://torchgan.readthedocs.io/en/latest/)
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        TorchGAN is a [Pytorch](https://pytorch.org) based framework for designing and developing Generative Adversarial Networks. This framework has been designed to provide building blocks for popular GANs and also to allow customization for cutting edge research. Using TorchGAN's modular structure allows
        
        * Trying out popular GAN models on your dataset.
        * Plug in your new Loss Function, new Architecture, etc. with the traditional ones.
        * Seamlessly visualize the training with a variety of logging backends.
        
        ### Installation
        
        Using pip (for stable release):
        
        ```bash
          $ pip3 install torchgan
        ```
        
        Using pip (for latest master):
        
        ```bash
          $ pip3 install git+https://github.com/torchgan/torchgan.git
        ```
        
        From source:
        
        ```bash
          $ git clone https://github.com/torchgan/torchgan.git
          $ cd torchgan
          $ python setup.py install
        ```
        
        ### Documentation
        
        The documentation is available [here](https://torchgan.readthedocs.io/en/latest/)
        
        The documentation for this package can be generated locally.
        
        ```bash
          $ git clone https://github.com/torchgan/torchgan.git
          $ cd torchgan/docs
          $ pip install -r requirements.txt
          $ make html
        ```
        
        Now open the corresponding file from `build` directory.
        
        ### Contributing
        
        We appreciate all contributions. If you are planning to contribute bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us. For more detailed guidelines head over to the official documentation.
        
        ### Disclaimer
        
        This package is under active development. So things that are currently working might break in a future release. However, feel free to open issue if you get stuck anywhere.
        
        ### Authors
        
        This package is currently maintained by
        * Avik Pal (@avik-pal)
        * Aniket Das (@Aniket1998)
        
Platform: UNKNOWN
