Showing 16 of 16 projects
A collection of 60+ annotated PyTorch implementations of deep learning papers with side-by-side explanatory notes.
A curated list of awesome Generative Adversarial Network (GAN) applications and demonstrations across various domains.
Original implementation and hyperparameters for the 2014 paper "Generative Adversarial Networks" (GANs).
A collection of TensorFlow tutorials and examples covering image classification, GANs, text classification, and model deployment.
A lightweight TensorFlow library for training and evaluating Generative Adversarial Networks (GANs).
A PyTorch implementation of Social GAN for predicting socially acceptable human trajectories using generative adversarial networks.
A visible-infrared paired dataset for low-light vision tasks like pedestrian detection, image fusion, and image-to-image translation.
TensorFlow implementation of GAN-CLS algorithm for generating images from text descriptions using adversarial networks.
A Python library for generating high-quality synthetic tabular data using GANs, diffusion models, and large language models.
A minimal implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) using TensorLayerX for generating realistic images.
A deep learning model using generative adversarial networks for fast compressed sensing MRI reconstruction.
A curated archive of research papers and resources on generative modeling, covering GANs, image synthesis, 3D generation, and applications.
Keras implementation of Pix2pix for image-to-image translation using conditional adversarial networks.
Official JAX implementation of XMC-GAN for text-to-image generation using cross-modal contrastive learning.
A TensorLayer re-implementation of CycleGAN with improvements like resize-convolution and instance normalization.
An implementation of unsupervised image-to-image translation using Generative Adversarial Networks (GANs).
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