Conditional GAN for generating synthetic tabular data.
OTHER License
VILA - a multi-image visual language model with training, inference and evaluation recipe, deploy...
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations,...
Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½β...
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
Data Augmentation with Variational Autoencoders (TPAMI)
COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare ...
A Doctor for your data
[CVPR2020] Adversarial Latent Autoencoders
[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
SDG is a specialized framework designed to generate high-quality structured tabular data.
Open-source low code data preparation library in python. Collect, clean and visualization your da...
Synthetic data generators for tabular and time-series data
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) relate...
Synthetic data generation for tabular data