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Deep learning paper implementations with side-by-side notes and explanations
PyTorch implementation of CycleGAN and pix2pix for image-to-image translation
Generates images from paintings using CycleGAN, a deep learning-based algorithm.
PaddleGAN is a high-performance GAN library for developers working with AI-powered applications like image editing, style transfer, and motion transfer.
Contrastive unpaired image-to-image translation library using PyTorch, with faster and lighter training than CycleGAN.
Implementation of various generative adversarial network (GAN) models in popular deep learning frameworks
A clean and readable PyTorch implementation of the CycleGAN generative adversarial network for image-to-image translation.
An implementation of the CycleGAN generative adversarial network using the TensorFlow library.
Efficient architectures for interactive conditional GANs, useful for image-to-image translation tasks.
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