Ultra-Data-Efficient-GAN-Training

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Image augmentation for machine learning experiments.

? ? A Python library for audio.

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

Image augmentation library in Python for machine learning.

Data augmentation for NLP

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

Official Implementation of 'Fast AutoAugment' in PyTorch.

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training