Showing 61-80 of 130 projects
A collection of summaries for machine learning research papers, useful for developers interested in AI and deep learning.
Contrastive unpaired image-to-image translation library using PyTorch, with faster and lighter training than CycleGAN.
A framework for generating realistic human images using a Liquid Warping GAN with Attention.
A specialized Python framework for generating high-quality structured tabular data for AI and ML applications.
A curated list of resources for using Generative Adversarial Networks (GANs) in medical imaging applications.
Improves GAN training techniques for AI applications
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.
GANimation is a PyTorch library for generating facial animations from a single image using generative adversarial networks.
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
Advanced Deep Learning with Keras book for learning deep learning concepts using the Keras framework
A tool for visualizing and controlling the latent space of Generative Adversarial Networks (GANs) using supervised learning.
A deep learning approach for password guessing and password strength analysis.
This repository contains code for comparing Generative Adversarial Networks (GANs), a type of machine learning model.
An interactive visualization tool for discovering interpretable controls in Generative Adversarial Networks (GANs)
Visualizing and understanding the neurons of a GAN with Pytorch-based tools.
A toolbox of models, callbacks, and datasets for AI/ML researchers using PyTorch.
PyTorch implementation of a unified framework for human motion imitation, appearance transfer, and novel view synthesis.
State-of-the-art audio codec with 90x compression factor for developers.
A PyTorch-based library for generating 3D objects from 2D user inputs using pix2pix-style GAN models.
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