gans

Image-to-Image Translation in PyTorch

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Synthetic data generation for tabular data

Implementation of papers in 100 lines of code.

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

Synthetic data generators for tabular and time-series data

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

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

[TIP'19] AttGAN: Facial Attribute Editing by Only Changing What You Want

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.