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#

cgans

Here are 26 public repositories matching this topic...

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

  • UpdatedNov 8, 2023
  • Jupyter Notebook

Using cGANs to remove objects from a photo

  • UpdatedOct 10, 2018
  • Python

Implementation of Conditional Generative Adversarial Networks in PyTorch

  • UpdatedApr 20, 2018
  • Python

[ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier

  • UpdatedJun 11, 2023
  • Python
  • UpdatedMar 27, 2021
  • Jupyter Notebook

Using a GAN to synthetically generate medical images for DL purposes

  • UpdatedJun 28, 2023
  • Python

Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Keras

  • UpdatedFeb 7, 2021
  • Python

PANDA (Pytorch) pipeline, is a computational toolbox (MATLAB + pytorch) for generating PET navigators using Generative Adversarial networks.

  • UpdatedJun 7, 2021
  • Python

Source code and pretrained models for pix2pix - Inference on image and paint using pyqt5

  • UpdatedApr 4, 2022
  • Jupyter Notebook

TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.

  • UpdatedNov 11, 2020
  • Python

Enhancement and Segmentation GAN

  • UpdatedNov 1, 2019
  • Python

A Tensorflow 2 implementation of SNGAN and Projection Discriminator

  • UpdatedFeb 18, 2020
  • Jupyter Notebook

PyTorch implementation of 'Pix2Pix' (Isola et al., 2017) and training it on 'Facades' and Google Maps

  • UpdatedJan 25, 2024
  • Python

Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable

  • UpdatedNov 7, 2023
  • Python

The mel spectrogram generator using conditional WGAN-GP. For the mel spectrogram inverter, look up HiFi-GAN

  • UpdatedAug 14, 2023
  • Python

Conditional Generative Adversarial Networks (CGANs) extend the capabilities of traditional GANs by conditioning both the generator and discriminator models on additional information, typically class labels or other forms of auxiliary information.

  • UpdatedAug 20, 2024
  • Jupyter Notebook

Conditional Generative Adversarial Network for generating synthetic faces with user specified attributes

  • UpdatedOct 8, 2021
  • Jupyter Notebook

SAGAN that conducted a CT noise reduction study based on conditional GAN

  • UpdatedMar 24, 2023
  • Jupyter Notebook

Ancient coins reconstruction using CGANs

  • UpdatedSep 3, 2022
  • Jupyter Notebook

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