Generating images in different contexts using GANs and Variational Autoencoders
-
Updated
Sep 19, 2022 - Jupyter Notebook
#
lsgan
Here are 61 public repositories matching this topic...
GANs 101 and its Applications: An exploration of DCGAN, WGAN, LSGAN and GAN transfer learning on the CelebA dataset
deep-learning artificial-intelligence generative-adversarial-network gan dcgan transfer-learning celeba wgan lsgan generative-ai
-
Updated
Apr 10, 2023 - Jupyter Notebook
Generate Faces Using Deep Convolutional Generative Adversarial Networks (DCGAN)
-
Updated
Jun 15, 2022 - Jupyter Notebook
Repo of my master thesis at Pompeu Fabra University: "Towards album artwork generation based on audio". We analyze VAEs and GANs to condition image generation with audio.
-
Updated
Apr 26, 2021 - Jupyter Notebook
Improved LSGAN using simple loss constraint
-
Updated
Jul 19, 2024 - Python
TensorFlow Generative Adversarial Networks (GANs)
tensorflow generative-adversarial-network gan dcgan gans generative-adversarial-networks wgan lsgan cgan wgan-gp vanilla-gan mode-seek geogan
-
Updated
Jul 24, 2019 - Python
AVmod is a Audiovisual modulator developed with Deep Fake
python deep-learning tensorflow keras gan face-recognition face-detection lsgan deepfakes facealignment keras-vggface umeyama
-
Updated
Jan 9, 2022 - Jupyter Notebook
Hierarchical image colorization model combining a Swin Transformer encoder with an EMA-based VQ-VAE bottleneck and a residual decoder. Learns discrete color representations and produces realistic, perceptually consistent colorizations
computer-vision deep-learning pytorch transformer gan image-colorization representation-learning perceptual-losses image-restoration encoder-decoder lsgan vq-vae generative-modeling swin-transformer lab-color-space vqvae2
-
Updated
Oct 28, 2025 - Jupyter Notebook
A short demonstration of GANs learning a probability distribution
-
Updated
Jul 28, 2023 - Python
-
Updated
Mar 4, 2018 - Python
generative-adversarial-network mnist dcgan mnist-classification wgan lsgan wgan-gp gradient-penalty wassertein-gan loss-sensitive-gan
-
Updated
Apr 19, 2018 - Python
Search for potential customers
-
Updated
Nov 4, 2020 - Jupyter Notebook
Implementation of DCGAN and LSGAN by tensorflow, Train the GAN in Google Cloud Colab.
python deep-learning generative-adversarial-network dcgan convolutional-neural-network lsgan deep-neural-network
-
Updated
Apr 25, 2020 - Jupyter Notebook
The following study presents a model for generating chest X-ray images of normal subjects (without lung disease) and pneumonia patients.
keras medical-imaging generative-adversarial-network gan classification chest-xray-images medical-images keras-tensorflow medical-image-processing lsgan cgan chest-xrays pneumonia pneumonia-detection pneumoniac-xray pneumonia-detection-cnn pneumonia-disease-chest-x-ray-machine-intelligence
-
Updated
Jul 6, 2023 - Jupyter Notebook
-
Updated
Jun 6, 2018 - Python
The Generative Adversarial Networks with Python would serve as our primary reference throughout the project. The models would be trained on the MNIST dataset. The official TensorFlow framework and documentation will be used to implement the different architectures on Python. These papers would be used to implement various evaluation met
-
Updated
Jan 30, 2024 - Python
Improve this page
Add a description, image, and links to the lsgan topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lsgan topic, visit your repo's landing page and select "manage topics."