Showing 5 of 5 projects
Interactive point-based manipulation tool for editing GAN-generated images by dragging points to target positions.
A collection of concise PyTorch tutorials for deep learning researchers, with most models implemented in under 30 lines of code.
Original implementation and hyperparameters for the 2014 paper "Generative Adversarial Networks" (GANs).
A curated list of academic papers and resources for image and video inpainting techniques.
A Python package for generating synthetic tabular and time-series data using state-of-the-art generative models like GANs and Gaussian Mixtures.
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