Implementation of 'lightweight' GAN, proposed in ICLR 2021
GFPGAN aims at developing Practical Algorithms
Conditional GAN for generating synthetic tabular data
Synthetic data generators for tabular and time-series data
Synthetic Data Generation for tabular, relational and time series data
Fast image augmentation library and an easy-to-use wrapper
Benchmarking synthetic data generation methods
A simple command line tool for text to image generation
C++ framework for application of any type of evolutionary computation.
Research Framework for easy and efficient training of GANs
Code for machine learning for algorithmic trading, 2nd edition
Composable GAN framework with api and user interface
Generative adversarial training for generating synthetic tabular data
A probabilistic programming language in TensorFlow
Deep Learning in Haskell