|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Simpletransformers||3,487||2||15||2 months ago||280||May 29, 2022||44||apache-2.0||Python|
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|Papernote||269||2 years ago|
|paper note, including personal comments, introduction, code etc|
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|Triple-GAN: a unified framework for classification and class-conditional generation in semi-supervised learing|
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Code for reproducing most of the results in the paper. Triple-GAN: a unified GAN model for classification and class-conditional generation in semi-supervised learning.
Warning: the code is still under development.
We propose Triple-GAN-V2 built upon mean teacher classifier and projection discriminator with spectral norm and implement Triple-GAN in Pytorch. See the source code at taufikxu/Triple-GAN
This project is tested under the following environment setting.
Python Numpy Scipy Theano Lasagne(version 0.2.dev1) Parmesan
Thank the authors of these libs. We also thank the authors of Improved-GAN and Temporal Ensemble for providing their code. Our code is widely adapted from their repositories.
Triple-GAN can achieve excellent classification results on MNIST, SVHN and CIFAR10 datasets, see the paper for a comparison with the previous state-of-the-art. See generated images as follows: