This is the Linux app named Improved GAN whose latest release can be downloaded as improved-gansourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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GAN 개선
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기술
Improved-GAN is the official code release from OpenAI accompanying the research paper Improved Techniques for Training GANs. It provides implementations of experiments conducted on datasets such as MNIST, SVHN, CIFAR-10, and ImageNet. The project focuses on demonstrating enhanced training methods for Generative Adversarial Networks, addressing stability and performance issues that were common in earlier GAN models. The repository includes training scripts, evaluation methods, and pretrained configurations for reproducing experimental results. By offering structured experiments across multiple datasets, it allows researchers to study and replicate the improvements described in the paper. Although the project is archived and not actively maintained, it remains a reference point in the history of GAN research, influencing subsequent model training approaches.
기능
- Implementations of GAN training with improved techniques
- Support for MNIST, SVHN, CIFAR-10, and ImageNet datasets
- Code for reproducing experimental results from the paper
- Training scripts demonstrating stability improvements
- Evaluation tools including Inception Score metrics
- Archived reference implementation for GAN research
프로그래밍 언어
파이썬, 유닉스 셸
카테고리
This is an application that can also be fetched from https://sourceforge.net/projects/improved-gan.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
