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Update README.md
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mingukkang authored Dec 7, 2020
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- Extensive GAN implementations for Pytorch
- Comprehensive benchmark of GANs using CIFAR10, Tiny ImageNet, and ImageNet datasets (being updated)
- Better performance and lower memory consumption than original implementations
- 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
- Support Multi-GPU(both DP and DDP), Mixed precision, Synchronized Batch Normalization, and Tensorboard Visualization

## Implemented GANs
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