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README.md
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- Extensive GAN implementations for Pytorch
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- Comprehensive benchmark of GANs using CIFAR10, Tiny ImageNet, and ImageNet datasets (being updated)
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- Better performance and lower memory consumption than original implementations
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-- Providing pre-trained models that is fully compatible with up-to-date PyTorch environment
+- Providing pre-trained models that are fully compatible with up-to-date PyTorch environment
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- Support Multi-GPU(both DP and DDP), Mixed precision, Synchronized Batch Normalization, and Tensorboard Visualization
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## Implemented GANs
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