COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
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Synthetic Health Data Hackathon 2020 Alzheimer's MRI Analysis solution.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial...
Synthetic data generators for tabular and time-series data
Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½β...
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
[CVPR2020] Adversarial Latent Autoencoders
The author's officially unofficial PyTorch BigGAN implementation.
Discovering Interpretable GAN Controls [NeurIPS 2020]
Collection of generative models in Pytorch version.
Network-to-Network Translation with Conditional Invertible Neural Networks