The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-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.

Features

  • 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
  • The documentation for this package can be generated locally
  • This software was developed as part of academic research
  • Provides tutorials

Project Samples

TorchGAN Screenshot 1

Project Activity

See All Activity >

Categories

Frameworks, Machine Learning, Generative Adversarial Networks (GAN), Generative AI

License

MIT License

Follow TorchGAN

TorchGAN Web Site

Other Useful Business Software
Earn up to 16% annual interest with Nexo. Icon
Earn up to 16% annual interest with Nexo.

Access competitive interest rates on your digital assets.

Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
Get started with Nexo.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of TorchGAN!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Frameworks, Python Machine Learning Software, Python Generative Adversarial Networks (GAN), Python Generative AI

Registered

2022-08-17
Report inappropriate content