Generating tabular datasets under differential privacy
GPL-3.0 License
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A playground for experimenting with diffusion models 🌀
Source code for "Training Generative Adversarial Networks Via Turing Test".
generative adversarial networks
A standard framework for modelling Deep Learning Models for tabular data
Training PyTorch models with differential privacy
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN...
COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare ...
Collection of generative models in Pytorch version.
A clean and readable Pytorch implementation of CycleGAN
