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README.md 2020-12-07 471 Bytes
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First StudioGAN release with following features

  • Extensive GAN implementations for Pytorch: From DCGAN to ADAGAN
  • Comprehensive benchmark of GANs using CIFAR10 dataset
  • Better performance and lower memory consumption than original implementations
  • Providing pre-trained models that are fully compatible with up-to-date PyTorch environment
  • Support Multi-GPU(both DP and DDP), Mixed precision, Synchronized Batch Normalization, and Tensorboard Visualization
Source: README.md, updated 2020-12-07