Showing 21-30 of 30 projects
A comprehensive list of contrastive self-supervised learning papers for machine learning researchers.
Unsupervised learning of symmetric 3D objects from images, for computer vision and 3D reconstruction.
A composable GAN framework with API and user interface for building generative AI models.
Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.
An open-source implementation of a state-of-the-art unsupervised image denoising algorithm for developers working with computer vision.
A PyTorch implementation of a generative adversarial network for learning cross-domain relations.
A PyTorch-based library for zero-shot voice style transfer using only autoencoder loss.
EnlightenGAN is an AI-powered image enhancement tool that can brighten low-light images without requiring paired supervision.
A Python package that makes similarity learning quick and easy using TensorFlow.
Official implementation of the ADBench anomaly detection benchmark for machine learning models
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